Help Wanted

AI Summary: Update the outdated jQuery 1.10.2 library used in the Git for Windows website's assets to the latest stable version. This involves downloading the new jQuery library, replacing the old file in the project's `assets/js` directory, and verifying the website's functionality after the update.

AI Summary: Organize the project file structure by moving frontend-related files (like index.html and tailwind.config.js) into the Frontend/ directory and ensuring backend configuration files remain within the Backend/ directory. This will resolve build conflicts and improve project organization.

AI Summary: This task requires updating the Kubebuilder end-to-end (e2e) test configuration to leverage Kind's native NetworkPolicy support, eliminating the need for a custom Calico CNI setup. This involves removing Calico installation steps from the `setup.sh` script, removing custom CNI configuration from `kind-config.yaml`, verifying the e2e tests still pass, and updating relevant documentation to reflect the change.

AI Summary: Debug and fix issues in the r5py Python library related to GTFS data loading. The library should correctly handle both zipped and unzipped GTFS feeds, accurately identify service days, and avoid spurious EmptyFieldErrors when loading valid GTFS data. The solution involves investigating the GTFS parsing logic within r5py, potentially improving error handling and data validation.

AI Summary: Create a Python utility function, `error_if_none`, to handle optional variables in the ophyd-async library. This function will raise a `RuntimeError` if a given value is None, otherwise it returns the value. Then, find and replace instances in the ophyd-async codebase where this pattern of checking for None and raising an error is repeated, replacing them with calls to the new utility function.

AI Summary: The task is to improve the user interface of the openEO Vue components to better handle federated backends' UDP support. Specifically, the current warning message about unavailable services is misleading because it's a limitation of the aggregator, not the backends themselves. The solution involves modifying the Vue components to display a more accurate and less alarming message, clarifying that the issue is with the aggregator's handling of UDPs and not the individual backends.

AI Summary: Implement a backend endpoint (`/auth/link-wallet`) to allow users to link their Web3 wallets to their profiles. This involves receiving a wallet address and signature, verifying the signature using ethers.js (potentially with a nonce), and storing the linked address in the user's profile. Robust error handling for invalid signatures is required.

AI Summary: Prepare a new Git repository for the Solana Options Standard SDK. This involves setting up the basic repository structure, potentially including a README, license, and `.gitignore` file, to prepare for future SDK development. The repository will initially be empty, serving as a foundation for the project.

AI Summary: The task is to investigate and debug a reported bug in FreeCAD's Assembly workbench where the Bill of Materials (BOM) incorrectly duplicates sub-assemblies. This involves analyzing the provided sample assembly file, comparing the behavior of different assembly insertion methods ('make link' vs. 'assembly_insert'), and potentially reviewing the relevant FreeCAD source code to identify and fix the root cause of the duplication.

AI Summary: Debug and fix a broken Docker build script for the Data Validation Tool (DVT) example provided in the `samples/docker` directory. The script fails to build the Docker image due to a missing wheel file, resulting in a checksum calculation error. The solution involves identifying the cause of the missing wheel file (likely a path issue or dependency problem) and correcting the build script to ensure the correct wheel file is included in the Docker image.

AI Summary: Develop a fully responsive and accessible blog page for Fundable using Next.js, adhering to a provided Figma design. The page must be functional across all screen sizes and meet accessibility standards. A Loom video demonstrating the completed page is required.

AI Summary: The issue is that the HTML editor within Gutenberg's block editor overflows its container when using a block theme. The solution likely involves adding `box-sizing: border-box` to the `BlockHTML` component to ensure proper sizing, independent of the active theme's stylesheet.

AI Summary: The task involves reviewing and modifying two existing tldr pages (nix3-store and nix3-why-depends) and potentially a third (nix-classic) to improve the presentation of file paths, replacing ellipses (...) with a more suitable alternative. This requires familiarity with Markdown and the tldr project's style guidelines.

AI Summary: Implement a new Budibase App Action that allows setting focus to a specific HTML element within an application. This action should be triggered programmatically, potentially within an existing action flow (e.g., button click or page load), and should work reliably across different input types.

AI Summary: The task requires hiring additional Flutter and backend developers to support the project. This involves recruitment processes, interviews, and onboarding new team members.

AI Summary: Determine if displaying the participant list in Nextcloud Talk's TopBarMenu for one-on-one calls is intentional or an oversight. If it's an oversight, the code needs to be adjusted to only show the list for calls with more than one participant.

AI Summary: Improve the frontend and backend of the ResumeRanker project. This involves enhancing the user interface and user experience of the web application and potentially optimizing the backend processing for better performance and scalability. Specific improvements are not detailed in the issue, requiring further investigation of the current codebase.

AI Summary: The task involves removing all references to the deprecated `EventList` attribute from the Matter SDK. This includes removing it from the `cluster_definition.zapt` file, updating `GlobalIds.h`, and searching for and removing other instances of `EventList` throughout the codebase, including tests. The goal is to clean up the codebase to reflect the specification's deprecation of this attribute.

AI Summary: Implement namespace filtering in the OpenTelemetry Collector's k8sobserver extension. This involves adding a configuration option to specify an array of namespaces to monitor, allowing users to selectively observe Kubernetes resources within those namespaces only. The task requires modifying the existing k8sobserver code to process this new configuration and filter the observed resources accordingly.

AI Summary: Create a responsive "Transactions" page with a table displaying transaction details (type, address, date, token, amount, status), a search bar, date range picker, sorting/filtering icons, and pagination. The design should match a provided Figma design, using dummy data and a dark theme.

AI Summary: Implement a terminal-like interface at the bottom of the code editor within the web application to display the progress of npm install and other processes running in the Docker container. This will improve user experience by providing real-time feedback during the setup process.

AI Summary: Add a unit testing module to the Robius CLI tool. This involves writing tests to ensure the functionality of the CLI's various commands and features.

AI Summary: The issue describes a type mismatch error in APIFlask where a function returns a dictionary with a string value for 'answer', while the schema expects an integer. The task is to investigate and resolve this type mismatch, potentially by adjusting the return value of the function or the schema definition to ensure consistency.

AI Summary: The issue highlights a documentation error in APIFlask's English documentation regarding API authentication using Flask-HTTPAuth. The documentation incorrectly states that the authentication callback should be registered with `@auth.verify_password`, when it should be registered with `@auth.verify_token`. The task involves correcting this documentation error, potentially including an updated code example.

AI Summary: This project involves collaboratively building a landing page using Next.js and Git. Each participant is assigned a single component (e.g., navigation, hero section, footer) to develop, test, and submit via a pull request. The project emphasizes collaborative coding, Git workflows, and adhering to coding standards using tools like ESLint and Prettier.

AI Summary: Develop a Cairo smart contract to manage different game modes (practice, challenge, time attack) in LogiQuest, including mode-specific rules, rewards, achievements, transitions, and admin controls for creating and managing modes. Integration with existing reward and achievement contracts is required.

AI Summary: Create a REST API endpoint that retrieves a paginated list of a user's matches. The endpoint should only return public user profile data (name, bio, anthem, mood, topGenres) and match metadata (matchedAt, superLike). The response must be properly paginated using limit and offset query parameters, sorted by match date (descending), and secured to prevent private data leakage. This involves using MongoDB aggregation pipelines with $lookup to efficiently fetch and filter data.

AI Summary: Implement pagination for blog posts on the DevConnect frontend. Two options are available: numbered pagination using a library like DaisyUI, or infinite scrolling with a loading indicator. The goal is to improve user experience by avoiding excessive scrolling.

AI Summary: The task is to debug a Python code snippet using the Google Agent Development Kit (ADK) that throws a 'charmap' codec error when using a LiteLlm model within an LlmAgent. The error occurs during agent execution and involves handling responses from a custom weather tool. The solution requires understanding the ADK framework, character encoding issues in Python, and potentially adjusting the code to handle the specific error or the data causing the error.

AI Summary: Set up a Spring Boot application to create a basic API for ninja registration. This involves creating a new Spring Boot project, running a simple 'Hello World' program to verify the setup, and ensuring the project compiles and runs successfully.

AI Summary: Add screenshots of the peg-in-hole (PiH) test beds to the project's README.md file. This involves locating the appropriate screenshots and integrating them into the existing README's markdown structure, likely within the 'Peg in hole' section.

AI Summary: Fix the responsiveness issues in the contact form on the mobile view of the University Resource Hub website. The form fields and content are misaligned on smaller screens, causing some elements to overflow the card boundaries. The solution requires adjusting the CSS to ensure the form adapts correctly to different screen sizes, maintaining proper alignment and preventing content overflow.

AI Summary: Determine if Nextcloud Talk currently allows disabling system messages (user connection/disconnection notifications) in chats. If not, design and implement a feature to toggle these messages on/off, either globally for admins or on a per-user basis.

AI Summary: Create a new Rust crate within the Privaxy project's workspace to hold shared data structures and types currently duplicated between the frontend and backend. This aims to improve code maintainability and reduce redundancy by establishing a single source of truth for these shared elements.

AI Summary: Implement archival checks for all listed EVM production and testnet chains within the PATH framework. This involves adding code, tests, Makefile targets, and documentation updates. The task prioritizes EVM chains currently used in the Morse service, ensuring readiness for the Shannon transition.

AI Summary: The task is to debug the `litdata.optimize()` function. The function, when used with multiple workers, sometimes returns before all worker processes have completed writing data to the output directory. The goal is to understand why this happens and find a solution to ensure the function only returns after all data has been written, allowing for complete automation of the data optimization process.

AI Summary: The task is to add a `max-width` CSS property to images within the learning paths section of the Layer5 website to prevent excessively large images from stretching beyond their containers. This will improve the visual layout and responsiveness of the learning path pages.

AI Summary: The task involves refactoring the Floresta Bitcoin node project to remove all instances of `unwrap`, `expect`, and `panic` calls from non-test code. This requires replacing these with proper error handling and propagation mechanisms, ensuring that errors are reported to the user rather than causing the program to crash. Additionally, CI checks should be implemented to prevent the reintroduction of these potentially problematic calls in the future.

AI Summary: Update Falcon's `pyproject.toml` file to use the recommended SPDX license expression for the project license, addressing deprecation warnings from `setuptools` regarding the use of a TOML table for `project.license` and license classifiers. This involves migrating to the new `project.license-files` and potentially updating the license information to comply with SPDX standards.

AI Summary: Rename two checkbox labels within the Integreat CMS region form. The labels "Integreat-Chat aktivieren/Activate author chat" and "Integreat Chat aktivieren/Enable Integreat Chat" should be changed to "Autor:innen-Chat aktivieren/Activate author chat" and "KI-Chat aktivieren/Enable AI chat", respectively. This is a simple text change requiring familiarity with the Integreat CMS codebase.

AI Summary: The Gleam compiler (v1.10.0) fails to emit TypeScript declarations (.d.ts files) when the build directory already exists. The task is to debug and fix this issue in the Gleam compiler, ensuring that TypeScript declarations are correctly generated even when a previous build output is present, without requiring manual deletion of the build directory.

AI Summary: The task involves refactoring the Pedro Pathing library to use interfaces for the drivetrain, localizer, and feedback manager. This will improve modularity and allow for easier integration with different hardware and software components. The interfaces need to be defined and the existing code adapted to use them.

AI Summary: Improve the constants handling system in a reactive vector-based path follower library for FTC robots. The goal is to create a more flexible and robust system that allows for easy configuration of various settings, including drivetrain parameters and general constraints, while avoiding unnecessary localization constants. This involves refactoring the existing system to pass constants as an object to the follower, making them independent of the drivetrain, and adding mechanisms for general settings and drivetrain-specific constants.

AI Summary: Develop a Traffic Router API and associated components to dynamically rebalance HTTP routes based on external metrics, without relying on specific gateway classes. This involves creating a Service Histogram to classify services by performance, managing service lifecycles via HTTP, and integrating with existing Kubernetes infrastructure. The project requires expertise in Kubernetes, Gateway API, and potentially Prometheus and CEL.

AI Summary: Create a reusable and responsive React component called `CourseCard` to display course information (title, description, instructor, price, progress, rating, duration) in grid and list layouts. The component should handle different screen sizes and include hover effects and animations while adhering to accessibility standards. This component will be used in multiple sections of the TeachLink platform.

AI Summary: This task involves reviewing the initial commit of a project creating an AI-powered Network Operations Center (NOC) using AWS services and Amazon Bedrock. The review includes assessing the implemented features, architecture, AWS services used, performance metrics, security considerations, documentation, and planned next steps. It also requires evaluating the testing requirements and risk assessment.

AI Summary: The task involves reviewing and responding to user feedback and bug reports for the Windows beta release (v0.4.0-windows_beta.1) of the Mouseless application. This includes participating in the designated discussion thread, addressing questions, and potentially creating new bug reports based on user input.

AI Summary: Add two new statistics to the dashboard's homepage: the total remaining amount from all donors and the total amount from monthly donors. This involves updating the existing dashboard in a Symfony 6.4 application using PHP, MySQL, and potentially TailwindCSS/daisyUI for styling.

AI Summary: Implement backend functionality for a dating app to handle user swipe actions (like, skip, super-like). This involves creating a REST endpoint to receive swipe data, storing swipes in a database, and implementing logic to detect and create matches when mutual likes occur. Concurrency handling using transactions or idempotent upserts is crucial to prevent duplicate matches.

AI Summary: Implement a REST API endpoint (/api/deck) that returns a daily deck of 20 unique user profiles. The endpoint must exclude users the current user has already interacted with, filter profiles based on configurable similarity criteria (e.g., shared genres), and meet a performance target of under 200ms response time under load. This involves using MongoDB aggregation pipelines, adding database indexes, and implementing caching.

AI Summary: Implement secure storage for sensitive data (like private keys) within the Kernreaktor project, potentially utilizing a Trusted Platform Module (TPM) or exploring alternative secure storage solutions. The current method of storing keys as plaintext is insecure and needs improvement.

AI Summary: Develop RESTful API endpoints for creating, reading, updating, and deleting user profiles. This includes handling profile information (mood, bio, preferences), linking a Spotify anthem, and uploading a short voice clip using multipart/form-data. The endpoints should handle authentication and utilize a cloud storage service (like Cloudinary or S3) for voice clip storage.

AI Summary: The task is to fix Ruff's linting rules (specifically, those related to `pathlib`) to prevent incorrect suggestions when dealing with file descriptors or byte strings. The rules should only suggest using `pathlib.Path` when appropriate, avoiding false positives.

AI Summary: Implement a webhook listener in a Node.js (NestJS) backend to receive payment confirmations from the Stellar blockchain's Horizon API. This involves subscribing to the event stream, handling authentication (if proxied), preventing duplicate confirmations using transaction hashes, updating the database, and thorough testing.

AI Summary: The provided project and issue information is insufficient to determine the required task. The project description and README are missing, and the issue description ('rDU0jwKBiGpCtbmENhxLbgLr5KqlRauQrq1Ro9Rpb') appears to be an encrypted or randomly generated string, providing no context for the task.

AI Summary: The provided text gives a project description and a project README (both empty), and an issue with ID 2020859664 and a cryptic description 'WoKN4oZYqn0D6iE41MuN2yI6Z'. The task is to understand what needs to be done based on this limited information. This likely involves investigating the issue ID within the project context to determine the required action.

AI Summary: Implement an option to disable colored output in the logs of the Static Web Server. This should be configurable via command-line arguments, configuration files, and the standard `NO_COLOR` environment variable.

AI Summary: Develop a mobile-first, responsive sign-in page for the LEX IMPACT platform, adhering to a provided Figma design and using the existing Supabase integration. The page should be pixel-perfect, reusable, and integrate seamlessly with existing components (or create new ones if necessary). Thorough testing is required.

AI Summary: The provided text gives a project description and a project README (both empty) and an issue with ID 1437453199 and a description '4HoYv1zMOsj7qBqw6Il'. The task requires understanding the issue (likely a bug report or feature request) based on its ID and cryptic description. Further investigation into the project's codebase and documentation is needed to resolve the issue.

AI Summary: Develop a new agent for the Ava platform to interact with the Rhea Finance protocol on the Near blockchain. This involves creating an agent that can connect to Rhea Finance's APIs, execute transactions, and integrate seamlessly with the existing Ava multi-agent system using the A2A protocol for communication and the MCP protocol for resource access. The agent should handle tasks such as monitoring positions, executing trades, and providing relevant data to other agents within the Ava ecosystem.

AI Summary: The task involves improving error handling in a NestJS microservice within a larger decentralized identity platform. Currently, the `findFirstOrThrow` Prisma query is causing issues; the solution is to temporarily replace it with `findFirst` and add explicit error handling for the case where no record is found. This is a temporary fix until the global exception handler is improved.

AI Summary: Develop a mobile-first, responsive sign-up page for the LEX IMPACT platform, adhering to a provided Figma design and ensuring compatibility with the existing Supabase integration. The page should be built using React components, maintaining existing project structure and utilizing reusable components where possible. Thorough testing and adherence to linting standards are required.

AI Summary: The task is to debug a GitLab integration issue within the OWASP Threat Dragon application (version 2.4.1). The user can authenticate with GitLab, but cannot save new threat models, receiving a 'Forbidden' error. The solution requires analyzing the provided logs, understanding the GitLab API interaction within Threat Dragon, and potentially adjusting GitLab permissions or Threat Dragon configuration to grant the application the necessary write access to the specified repository and branch.

AI Summary: The task is to fix a `SyntaxWarning` in the `find_missing_i18n_strings.py` script used for AlmaLinux.org website localization. The script currently throws a warning due to an invalid escape sequence, which doesn't affect functionality but should be resolved for cleaner execution. The fix involves correcting the regular expression used to find translatable strings within the website's Hugo templates.

AI Summary: The task involves analyzing a large-scale project focused on fine-tuning numerous LLMs and MLLMs using the SWIFT framework. The analysis should focus on understanding the project's scope, capabilities (including supported models, training methods, and hardware), and the specific requirements for fine-tuning Qwen3/Qwen3-MoE models as detailed in a provided issue. The output should be a concise summary of the project and its requirements, along with a fun meter and complexity rating.

AI Summary: Create a smoke test using requests from `vocabulary_aws.http` to verify the functionality of the `daily-dragon` application after deployment to AWS. This involves writing a test script that makes requests to the deployed application and checks for expected responses.

AI Summary: The task is to debug a memory leak in the OOAnalyzer tool within the Pharos static binary analysis framework. The tool runs out of memory when processing large (14MB+) executables, generating excessively large intermediate files. The goal is to identify the root cause of the memory consumption and find a solution, potentially involving optimization strategies or algorithmic improvements within the Prolog-based analysis.

AI Summary: The task is to fix a bug in the WebdriverIO framework where an error message ('Could not connect to Bidi protocol...') is incorrectly displayed even when a successful BiDi connection is established. The solution involves modifying the `ConnectionTimeoutPromise` to either clear the timeout after the race or conditionally log the error only if the race results in an undefined value, ensuring the error message is only shown for actual connection failures.

AI Summary: Debug a JavaScript issue in Mautic version 7.0.0 pre-release where campaign email statistics fail to load. The issue is reproducible by creating a campaign and attempting to view its email statistics. The goal is to identify and fix the JavaScript error preventing the data request from executing, ensuring email statistics functionality works as expected in the 7.x branch, maintaining compatibility with the feature introduced in version 6.0.

AI Summary: Debug and fix a bug in an OpenGL terminal emulator where the cursor color is incorrectly rendered as black when using a light background theme. The issue is specific to the 'smooth-cursor' patch, which introduces cursor animations. The solution likely involves adjusting the blending mode or color calculation within the cursor rendering code to correctly handle light background colors.

AI Summary: Develop a mobile-first, responsive project dashboard for the LEX IMPACT platform, ensuring pixel-perfect adherence to a Figma design and utilizing the existing Supabase integration. The dashboard should be built using Next.js, React.js, and Tailwind CSS, maintaining existing project structure and promoting reusable components. Thorough testing is required to ensure functionality and prevent code breakage.

AI Summary: The issue describes a problem with the SQL query used in Logfire's observability dashboard. The `approx_percentile_cont` aggregate function requires a `WITHIN GROUP (ORDER BY ...)` clause, but adding this clause results in a type coercion error. The task is to debug and fix this SQL query to correctly calculate percentiles without throwing errors, ensuring compatibility with Logfire's underlying database system.

AI Summary: Debug and fix a bug in the Bazel Python rules that causes empty coverage reports for Python versions 3.10.15 and 3.10.16. This involves analyzing the provided minimal reproduction steps, investigating potential causes related to the coverage toolchain or Python version specifics, and implementing a fix to ensure accurate coverage reports are generated for all supported Python versions.

AI Summary: Refactor the Quantum PHP Framework's dependency injection (DI) container to support abstract-to-concrete class bindings. This involves modifying the `register()` and `resolveParameter()` methods to handle both concrete class registrations and mappings from abstract classes/interfaces to their concrete implementations, updating the dependency resolution mechanism accordingly, and adding tests to ensure functionality.

AI Summary: Update the Neapolitan project's continuous integration (CI) pipeline to drop support for Python versions below 3.12. This is necessary because Django 6.0, a dependency, requires Python 3.12 or higher. The change involves modifying the CI configuration files to exclude older Python versions from the testing matrix.

AI Summary: Debug and fix a display issue in the Left Hand Navigation (LHN) of the Expensify app. The LHN incorrectly displays "This chat is with..." when an expense report shows "moved this expense to IOU." The bug is reproducible in staging and on multiple platforms (Android HybridApp, iOS HybridApp, mWeb, MacOS). The fix requires understanding the app's architecture (Onyx, Actions, UI), debugging skills, and familiarity with React Native and potentially native code if the issue spans beyond the JavaScript layer.

AI Summary: Implement a `SubdomainTrieMatcher` in Rust for the `rama` project, using the `trie-rs` crate. This involves creating a matcher from a list of domains, reversing them for trie insertion (with unit tests), and integrating it into the existing `HttpMatcherKind` and `HttpMatcher` structures.

AI Summary: Debug and fix the logging configuration in the daily-dragon application to ensure log entries are correctly captured by AWS CloudWatch when deployed as an AWS Lambda function. The local logging works, so the issue is likely related to the AWS Lambda environment configuration or the logging library used.

AI Summary: Implement support for APK Signature Scheme v4 in the `pack` library. This involves adding the necessary code to handle the v4 signing process, ensuring compatibility with the existing signing infrastructure. While not currently required for Google Play publishing, it would enhance the tool's completeness and potentially enable future features related to key rotation.

AI Summary: Modify the pgmpy library to prevent redundant INFO messages about detected data types during estimation. The current implementation calls a data preprocessing function multiple times, resulting in repeated INFO messages. The solution involves refactoring the code to ensure this function is called only once, regardless of the estimator used.

AI Summary: Create a Hero Section component for a React-based FashionHive onboarding web app using Tailwind CSS and Figma design specifications. The component should include a headline, subtext, CTA buttons, and a hero image, and be responsive and accessible.

AI Summary: Implement command-line switches for the `pack` tool to allow users to inject build-time attributes like `android:versionCode` and `android:versionName` into the AndroidManifest.xml, similar to `aapt2`'s functionality. This should also include support for renaming the manifest package via a command-line switch.

AI Summary: Improve the error handling in the `pack` project by providing more descriptive error messages for various failure scenarios, such as invalid AndroidManifest.xml files and unsupported key types. This involves parsing existing error types (`pack_common::PackError`) to generate more informative strings, potentially adding new error types for better granularity, and making these improvements accessible through the CLI and API for use in different environments (WASM, etc.).

AI Summary: Implement a warning mechanism in the `pack` tool to alert users when critical attributes (like `android:versionCode`) are missing from the AndroidManifest.xml, preventing the generated APK from being installable. This involves identifying the critical attributes, checking for their presence during processing, and printing informative warnings to the console, guiding users to either modify their manifest or use CLI switches (post #36).

AI Summary: The task involves reviewing freeCodeCamp's curriculum for instances where two backticks are used consecutively, indicating consecutive code elements that Crowdin's translation system dislikes. The goal is to reword sentences containing these instances to improve translatability, limiting changes to 10-15 per pull request. A list of projects/challenges is provided to track progress.

AI Summary: The task is to enhance the wolfSSL Arduino library to efficiently handle constant data storage in flash memory, specifically addressing limitations on AVR-based Arduino boards. This involves investigating the current `FLASH_QUALIFIER` mechanism, evaluating the feasibility of using `PROGMEM` and `pgm_read_word_near()`, and potentially developing alternative solutions to ensure compatibility and performance across different Arduino platforms.

AI Summary: Migrate the LLM-powered summary endpoint of a serverless RSS feed from Hugging Face Inference to a more reliable enterprise-grade inference provider (Google Vertex AI, Anthropic Claude API, or OpenAI API). This involves evaluating providers based on cost, latency, availability SLAs, and inference quality, then implementing the migration and potentially a fallback strategy.

AI Summary: Integrate Link Mobility's new SMS API into the Koha ILS system in Siilinjärvi. This involves receiving an API key from Link Mobility once the contract is finalized and then implementing the API within the Koha system. Koha does not accept pull requests, so patches must be submitted through their bug tracker.

AI Summary: Verify Meshery's OCI image export/import functionality with Harbor container registry. This involves setting up Harbor, pushing/pulling Meshery Designs and Models as OCI images, documenting the process and any compatibility issues, and updating Meshery's documentation.

AI Summary: The task involves summarizing a large GitHub project README and an associated issue, focusing on the project's goals (training a small GPT model from scratch), key features (code, datasets, training steps), and a recent update adding support for popular third-party inference frameworks (llama.cpp, vLLM, ollama). The summary should also include a fun meter and complexity rating.

AI Summary: Debug and fix a console error in the New Expensify onboarding flow that occurs when opening an onboarding task on macOS using Chrome/Safari. The error indicates that `useOnyx` returned no data for a key despite `canBeMissing` being set to `false`. The issue is reproducible in the staging environment but not in production and is specific to the HybridApp on macOS.

AI Summary: Implement a new configuration option (`useFallback=true`) in the nf-co2footprint Nextflow plugin. If this option is enabled, the plugin should halt execution if it cannot find a matching CPU model or location in its internal database, instead of using default values which may lead to inaccurate results. This requires modifying the CPU information matching logic to incorporate the new configuration parameter and trigger an error if a match is not found.

AI Summary: Debug and fix the broken navigation in the FitTrack application. The application runs successfully, but clicking navigation buttons produces no effect. This likely involves inspecting the routing configuration in the Flask application (likely `app.py`) and ensuring that URLs are correctly mapped to their corresponding view functions. Testing will be required to verify the fix.

AI Summary: Investigate migrating the existing file storage system (currently using PostgreSQL, likely within the FastAPI server) to a cloud-based storage solution. This involves researching suitable cloud storage options (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage), designing the migration process, and potentially implementing a prototype to assess feasibility before a full-scale migration.

AI Summary: The task is to debug a bug reported by a user where the ImprovedTube extension's buttons are not showing on the Android version of Firefox. This requires investigating why the button settings are not working despite other features functioning correctly. Debugging will involve analyzing the extension's code, potentially examining browser console logs, and testing with different Firefox versions or devices to isolate the problem. The user did not provide sufficient information (browser console logs, settings, etc.) to aid in debugging.

AI Summary: The task is to fix a bug in the `useHotkeys` hook within the Mantine React component library. The bug prevents the 'space' key from functioning as a hotkey unless the `usePhysicalKeys` option is enabled. The solution involves modifying the `parse-hotkey` function to correctly handle the 'space' key, regardless of `usePhysicalKeys` setting. A pull request with tests is desired.

AI Summary: The task involves refactoring the `crates/router/src/connector/utils.rs` file in the Hyperswitch open-source payments orchestration project. This requires analyzing the existing functions within the file and removing any that are unused, such as the `validate_currency` function. The goal is to improve code cleanliness and efficiency.

AI Summary: Debug a bug in the JeecgBoot low-code platform where online-generated menu SQL queries are missing component names, causing cached routes to fail. The solution requires investigating the code generation process for menu SQL and ensuring component names are correctly included. This likely involves examining the database schema, the code generator's logic, and potentially the caching mechanism.

AI Summary: Update the welcome text displayed in a popup after user registration. This involves locating the relevant code within the Flask application (likely in a template file or JavaScript), modifying the text to reflect current information, and testing the change to ensure it displays correctly.

AI Summary: The task is to resolve an inconsistency in the calculation of the `internal_id` for Tendermint transactions within the Komodo DeFi Framework. The `internal_id` is calculated differently when withdrawing funds versus querying transaction history, requiring a code adjustment to ensure consistent calculation across both functionalities.

AI Summary: Remove outdated workarounds in the Test Management Tool (tmt) specifically targeting RHEL-8 limitations. This involves searching the codebase for references to "rhel-8", "epel-8", and "el8", identifying and removing or simplifying code sections that are no longer necessary due to the removal of RHEL-8 support (while maintaining support for el8 guests).

AI Summary: Debug the `tidy-browser` application to understand why it's failing to retrieve the `value` of a Chrome cookie (ChromiumCookie) in Chrome version 135.0.7049.115. The issue appears to be related to the `decrypted_value` field being empty, despite the cookie seemingly existing and having an expiration date. The investigation should focus on the `decrypt-cookies` crate and potentially involve examining Chrome's cookie storage mechanisms and the decryption process within the application.

AI Summary: The task is to modify GeoIO.jl to handle empty geometries in shapefiles gracefully, instead of throwing an error. This involves investigating the interaction between GeoIO.jl and GeoInterface.jl, potentially modifying how GeoIO.jl handles `GeoInterface.geomtrait()` returning `nothing`, and implementing a solution that either correctly represents empty geometries or provides informative warnings.

AI Summary: Implement a fully functional contact form for a React website, integrating a backend (e.g., Node.js + Express) to handle form submissions via POST requests. This includes adding frontend and backend validation, user feedback messages (success/error), and potentially using a service like EmailJS for email delivery. A loading spinner should be implemented during submission.

AI Summary: Write unit tests for the Manager component of a Golang asynchronous task manager, covering initialization, option application, task registration, execution, error handling, retries, and graceful shutdown. The manager handles worker creation and coordination.

AI Summary: Debug the `u7.bat` script on Windows to identify why it prematurely exits when attempting to execute build or run commands. The script should correctly call the appropriate sub-scripts located in the `scripts/` directory for tasks such as building, running, and cleaning the Ultima VII: Revisited engine.

AI Summary: Develop a Starknet-integrated reward system that distributes STRK tokens to players upon puzzle completion. The reward amount should dynamically adjust based on puzzle difficulty, completion time, and performance, while incorporating security measures to prevent exploitation.

AI Summary: Enhance the `eurostat` R package to allow users to download data directly from provided Eurostat API links (e.g., .tsv links from the databrowser). This involves creating a new function that accepts an API URL as input, retrieves the data, and returns it in a usable R format.

AI Summary: Debug an issue in the Omics Playground platform where using lipidomics data with the Fisher's exact test in the pgx.computePGX function results in NaN (Not a Number) values. The task involves analyzing provided code, understanding the data processing pipeline within the platform (including data loading, preprocessing, and statistical analysis), and identifying the source of the NaN values. This likely requires familiarity with R, statistical methods, and potentially the internal workings of the Omics Playground.

AI Summary: Add a missing filter icon to the header of the Wallet page in the Greenstand Treetracker Wallet app. This involves referencing the provided Figma design file for visual guidance and implementing the icon within the appropriate React Native (or Next.js, depending on the page's location) component. The project uses a monorepo structure, so navigating the correct directory is important.

AI Summary: Develop a Cairo smart contract to manage user profiles, track puzzle game progression, and unlock content based on achievements and token spending. The contract should include player profile storage, level tracking, unlocking mechanics, and statistics tracking, with functions for querying player data.

AI Summary: The task involves training a neural network (EgoPath) for autonomous driving corridor perception. This requires setting various parameters within a Python script, running the training script using command-line arguments, and then visualizing the results using TensorBoard. The goal is to achieve the best validation score by experimenting with different parameter settings and reporting the results.

AI Summary: Identify and remove redundant calls to the `OpenPolicyFeatureX` API command on workspace feature pages (Members, Report Fields, and potentially others) that occur after closing the RHP modal. This involves debugging to pinpoint the unnecessary calls and modifying the code to eliminate them.

AI Summary: Add a new section titled "Examples" to the Sangee project's README. This section should contain at least one example demonstrating holographic projection, including a code snippet (even a placeholder) and comments explaining the code's functionality and output. The example should be clear and easy for users to understand.

AI Summary: Implement a time-sensitive filter for the Elo graph in a Spring Boot/Vaadin foosball Elo rating web application. This requires modifying the Elo calculation logic to consider only games within a user-specified time range (days, weeks, months). Database queries will need to be adjusted to support this filtering, and the Vaadin frontend updated to include the necessary date selection controls.

AI Summary: The task involves refactoring the Android codebase of the open-source handheld ham radio project KV4P-HT. Specifically, it requires replacing all instances of `ThreadPoolExecutor` for executing asynchronous code with simpler `Thread` objects to improve reliability and address null pointer exceptions.

AI Summary: Design a user interface (UI) screen for an Android Wear OS mood tracker app. The screen should allow users to select their current mood by tapping one of five buttons, each representing a different mood (Happy, Sad, Angry, Calm, Excited) and ideally using emojis for visual clarity.

AI Summary: The task requires unifying the data types used across all backends (NumPy, Qulacs, numba, cupy, cuquantum, TensorFlow, Torch, JAX) within the Qibo quantum computing framework to improve compatibility and reduce inconsistencies.

AI Summary: The issue describes a failure to generate code using `bobgen-psql@latest` due to undefined pg.Parse and pg.Scan functions within the bobgen-psql package. The task is to debug this issue, likely involving investigating version compatibility between the `bob` package, the PostgreSQL driver, and the Go version used. This might involve updating dependencies, checking for conflicting packages, or identifying a bug in the `bobgen-psql` code.

AI Summary: Implement an equation editor for a question bank creator application, allowing users to create mathematical equations with dynamic variables similar to the existing question generation functionality. The editor should have a user interface resembling jmathedit, but integrated with the application's variable system. Native Rust implementation is preferred, but alternative solutions are acceptable if necessary due to complexity.

AI Summary: Rename the project name from 'Angular Companies' to 'We Use Angular' in the header and footer, and rename the company name from 'Angular Companies' to 'Ng Delhi' throughout the project's website and documentation.

AI Summary: Update the styling of the Past Papers and Books page cards to match the design of the Home Page cards, ensuring consistent visual appeal across the website. This involves replicating the Home Page card's style elements (e.g., colors, spacing, fonts, shadows) on the other pages. Before and after screenshots are required for the pull request.

AI Summary: The task is to debug a bug in the Processing 4 library's PImage.mask() function. The bug causes an error when masking an image, even if both images are the same size. The issue was introduced in version 4.4.3 and did not exist in 4.4.2. The provided code snippet reproduces the problem. The solution requires identifying why the mask function is failing despite the images having matching dimensions and fixing the underlying issue within the Processing library's source code.

AI Summary: The task is to investigate and potentially implement a solution within the OAuth2-Proxy project to allow retrieval of user information from the OIDC provider's `/userinfo` endpoint, even when using `skip-jwt-bearer` tokens. The goal is to ensure that the user's email address is correctly populated, even if it's missing from the initial access token and to avoid using the `sub` value as a fallback.

AI Summary: The task involves improving the Abstract Syntax Tree (AST) representation of a new programming language called Ruthenium. This requires creating wrapper objects for values and variable identities, splitting variable declarations and assignments, and potentially adding evaluation wrappers to handle expressions. The goal is to enhance the AST's structure and clarity for better compiler processing.

AI Summary: The task is to add an option to publish an unminified version of the `commitsmile` package. This will allow developers using the package to more easily patch or debug the code, improving the developer experience. The implementation would involve modifying the build process to create and publish a separate unminified distribution.

AI Summary: Integrate an AI backend (likely a language model API) with an existing frontend for an AI math tutor. This involves connecting the frontend's user interface to the AI backend so that user queries are sent to the AI, and the AI's responses (math explanations, solutions, etc.) are displayed to the user.

AI Summary: Develop a Cairo smart contract implementing an ERC-721 standard for NFTs representing player achievements in the LogiQuest game. The contract should handle minting NFTs based on in-game accomplishments, including puzzle completion, with metadata detailing achievement type, difficulty, and score. Different achievement tiers (bronze, silver, gold) should be implemented based on performance. The contract must be secure and verifiable on Starknet explorers.

AI Summary: Design and implement Starknet smart contracts to manage LogiQuest puzzles, including data structures for puzzles, questions, and options; storage and retrieval mechanisms; puzzle creation and management functions; support for multiple question types; a versioning system; and access control. The contracts must deploy successfully on the Starknet testnet and meet gas optimization and security requirements.

AI Summary: Implement support for Java Specification Requests (JSR) in the Commit Smile package. This involves adding a new build option to handle JSR-compliant code and potentially modifying existing build processes to accommodate JSR standards. The implementation details are not specified, requiring further investigation and design.

AI Summary: The task is to make a custom ThingsBoard card, implemented using HTML and Markdown, responsive to different screen sizes. The current card does not scale properly compared to the default ThingsBoard cards. This involves adjusting the CSS to use viewport units or other responsive techniques to ensure the card's elements (icon, label, and value) resize appropriately on various devices.

AI Summary: Develop a responsive profile form component for an account settings page, incorporating avatar upload/deletion, various input fields (including required fields), and save/cancel buttons. The design should adhere to a provided Figma design and be responsive across different screen sizes, particularly iPhone 13 mini. Validation is not required at this stage.

AI Summary: Create a reusable, responsive top navbar component for an account settings page. The navbar should include a search bar (non-functional), notification bell icon, profile image, and a dropdown indicator (optional). The component must visually match a provided Figma design, adhering to specified spacing, font sizes, and colors. No interaction logic is required at this stage.

AI Summary: Build a reusable, responsive sidebar navigation component for an account settings page. The sidebar should include links to various sections (Dashboard, Fundwallet, etc.), highlight the active link, and collapse into a drawer on mobile. No backend integration is required; placeholder links are acceptable.

AI Summary: Implement a solution to handle exceptionally large incoming images in the Delta Chat core library. The preferred solution is to detect oversized images and treat them as files instead of images, preventing crashes due to excessive memory consumption. This involves modifying the image handling logic to check image dimensions before processing and potentially adding a size limit for images treated as 'image' messages.

AI Summary: Create POST API endpoints for the Mod Garden backend to allow users to update their profile information (username, display name, pronouns, avatar, and potentially other user's permissions, depending on authorization). These endpoints will be used by the gardenbot application.

AI Summary: Update the project schedule and speaker bios with the addition of two new speakers. This involves incorporating the updated schedule and bios from the provided Discord links into the project documentation.

AI Summary: Integrate Cartridge wallet support into a Next.js application and modify the wallet connection interface to display all Starknet-supported wallets, ensuring seamless user experience and backward compatibility with existing wallet functionalities. This involves updating the wallet connection logic to include Cartridge and expanding the displayed wallet options to encompass the full range of Starknet wallets.

AI Summary: Integrate the 'My Team' section of the StarkFantasy League frontend with a Web 2 backend API. This involves fetching player data, including images and statistics, from the backend and dynamically displaying it in the frontend's player table. The task requires familiarity with React, TypeScript, and API integration, as well as potentially modifying the Web 2 backend if necessary. A video demonstration of the successful integration is required.

AI Summary: Develop a new, accessible, and responsive Analytics Admin page for a Next.js application. This includes implementing keyboard navigation, screen reader support, and responsive layout techniques across various devices. A Loom video demonstrating the functionality and accessibility features is also required.

AI Summary: Implement active state indication and correct routing for sidebar links in a Next.js admin dashboard. This involves updating links to navigate to the correct pages and dynamically highlighting the currently active link, ensuring responsiveness across all screen sizes. The task requires familiarity with Next.js routing and potentially state management.

AI Summary: Create four documentation files for the Bharat Health Card project: a Functional Requirements Document (FRD), an Entity Relationship Diagram (ER Diagram), a demo setup guide, and release notes. The documentation should clearly explain the system's functionality, database structure, and how to run a demo of the backend and frontend.

AI Summary: The task involves recreating a QR code component based on provided designs. The issue report indicates a problem with the QR code not being scannable in the live project, requiring debugging and potential code adjustments to ensure the QR code image is correctly generated and displayed.

AI Summary: Implement a `Backoff` interface in a Go asynchronous task manager to allow users to customize retry backoff strategies based on the number of retry attempts. This involves creating the interface, modifying the existing retry logic to use the interface, and potentially updating documentation.

AI Summary: Update the documentation for the OpenZeppelin Contracts for Stylus library by replacing all instances of `<T>::ZERO` (e.g., `Address::ZERO`) with hyperlinks to the relevant definitions. This involves finding all occurrences of these placeholders in the documentation and replacing them with properly formatted links, ensuring consistency and improved readability for users.

AI Summary: Investigate why calibration images uploaded to the 'c4f45e_' directory lack TCA (Transversal Chromatic Aberration) images, as noted in the Lensfun calibration upload issue. This involves reviewing the provided workflow description and potentially contacting the uploader for clarification.

AI Summary: Develop a comprehensive content engagement system using NestJS and TypeORM, enabling users to react with emojis, crypto tips, and threaded comments. This includes creating necessary modules, services, controllers, and database schema with appropriate indexing for efficient querying. Real-time notifications, mention detection, and engagement metrics aggregation are also required.

AI Summary: Create a reusable LLM prompt template that generates high-quality, JSON-formatted questions for an online learning platform. The template must enforce a specific schema, embed business logic (unique IDs, parameter tagging, hints, explanations, etc.), and adhere to quality guidelines for clarity, diversity, and grammatical correctness. The output JSON should be suitable for submission to an API endpoint.

AI Summary: Fix a bug in the idobata project where unnecessary line breaks and separators are added to the end of Pull Requests (PRs), improving PR readability and reducing reviewer workload. This involves identifying the source of the extra line breaks and separators within the PR creation process and modifying the code to prevent their insertion.

AI Summary: Fix a Markdown rendering bug in the idobata project's AI report generation. The current implementation fails to correctly bold text when parentheses are included. The fix should ensure that Markdown bold formatting (`**text**`) works correctly, even with parentheses within the bolded text, improving report readability.

AI Summary: Modernize the Python project's build system by updating `CMakeLists.txt`, `setup.py`, and `pyproject.toml` to adhere to current best practices for Python packaging and address deprecation warnings. This involves migrating away from outdated methods and potentially adopting a more modern build system like `scikit-build` for better compatibility and efficiency.