Promptzy/Zenjira

AI Summary: Implement Husky with pre-commit hooks in both the frontend (Next.js) and backend (Node.js) projects to enforce code quality checks (Prettier, ESLint) before each commit. This involves installing Husky and lint-staged, configuring pre-commit hooks, and updating package.json files in both projects. Documentation updates are also required.

AI Summary: Implement an "About Us" section on the Zenjira landing page. This involves creating a two-column layout with text and an image, incorporating smooth scroll animations using the `react-bits` library, and ensuring responsiveness and accessibility. The section should clearly communicate the company's mission and values.

AI Summary: Automate the generation and update of a `CONTRIBUTORS.md` file using GitHub Actions and a Node.js script. The script should read merged PR labels (easy, medium, hard) and contributor usernames via the GitHub API, calculate points based on the label, update a `contributors.json` file, and generate a markdown table summarizing contributions. The GitHub Action should commit the updated files.

AI Summary: Implement visually appealing and functional Sign Up and Login pages using Next.js 15 App Router, ShadCN UI, react-bits for animations, and a mock API for simulating authentication. The task requires creating reusable form components, implementing input validation, and ensuring responsiveness across devices. Google login button styling is also included, though integration is not required at this stage.

AI Summary: Implement a Services & Contact section on the landing page using Next.js, Tailwind CSS, and ShadCN UI. The Services section will display core offerings with icons and descriptions, while the Contact section will include a simple form and contact details. Smooth scroll animations using `react-bits` are required. No backend integration is needed for the form submission in this phase.

AI Summary: This task requires setting up Prettier, a code formatter, for the Next.js frontend project. This involves installing Prettier and necessary plugins, creating configuration files (.prettierrc and .prettierignore) to define formatting rules and exclusions, formatting the existing codebase, and optionally integrating Prettier with a Git hook (like Husky or lint-staged) for automated formatting on commit.

AI Summary: Implement a responsive and accessible Navbar component for a Next.js application using Tailwind CSS and ShadCN UI. The navbar should include a logo, navigation links, a CTA button, and a hamburger menu for mobile responsiveness. The implementation must adhere to provided design specifications, accessibility guidelines, and include unit and integration tests.

AI Summary: The task requires setting up Prettier, a code formatter, for the backend codebase of the Zenjira project. This involves installing Prettier and necessary plugins, creating configuration files (.prettierrc and .prettierignore), formatting all relevant backend files, adding a format script to package.json, and optionally integrating with husky and lint-staged for pre-commit formatting. The goal is to ensure consistent code style across the backend, improving readability and maintainability.

AI Summary: Implement a visually appealing and responsive Features section for a Next.js application. The section should display core functionalities using a grid layout with smooth animations from `react-bits`, icons from `lucide-react`, and styling from Tailwind CSS and ShadCN UI. The task requires creating reusable components, ensuring responsiveness across devices, and meeting accessibility standards.

AI Summary: Implement a responsive and accessible footer component for a Next.js application using Tailwind CSS and ShadCN UI. The footer should include navigation links, social media icons, copyright information, and contact details, and adhere to provided design specifications and accessibility guidelines. Testing and documentation are also required.

AI Summary: Draft and publish a Community Guidelines document in Markdown format outlining expected behavior, prohibited actions, reporting procedures, and contact information for the Zenjira project. The document should be clear, concise, and inclusive, and linked from the project's README.

AI Summary: Draft a Code of Conduct document based on the Contributor Covenant v2.1 template, customizing it with project-specific details like contact information and enforcement procedures. The document should be saved as `CODE_OF_CONDUCT.md` in the root directory or `.github/` folder and linked from the `README.md` file.