Open Issues Need Help
View All on GitHubAI Summary: This issue proposes refactoring the monolithic CLI implementation in `src/cli/main.py` by extracting individual commands (e.g., `/help`, `/status`) into modular subcommands within a new `commands/` directory. The goal is to improve maintainability, testability, and extensibility by introducing a `BaseCommand` interface and separating command parsing from execution. This refactoring will make it significantly easier to add and manage new CLI commands.
A production-ready command-line interface that transforms natural language instructions into executable code through advanced AI integration. Engineered for professional development workflows with enterprise-grade reliability and security.
A production-ready command-line interface that transforms natural language instructions into executable code through advanced AI integration. Engineered for professional development workflows with enterprise-grade reliability and security.
AI Summary: This issue aims to enable mobile accessibility for the Terminal Coding Agent by implementing a mobile-optimized CLI interface. It requires adapting the interface to mobile screen sizes, integrating touch-friendly interactions for command execution, and potentially adding mobile-specific commands and optimizations.
A production-ready command-line interface that transforms natural language instructions into executable code through advanced AI integration. Engineered for professional development workflows with enterprise-grade reliability and security.
AI Summary: This issue proposes implementing an 'Image-Based Code Generation' feature, enabling the system to generate code from visual inputs like screenshots and diagrams. It involves developing an `ImageProcessor` that utilizes OCR and a vision model to analyze images, extract code-related information, detect image types (UI, diagram, algorithm), and ultimately generate code blocks.
A production-ready command-line interface that transforms natural language instructions into executable code through advanced AI integration. Engineered for professional development workflows with enterprise-grade reliability and security.
AI Summary: This issue proposes integrating voice command functionality into the Terminal Coding Agent, enabling users to interact via speech-to-text for hands-free operation and improved accessibility. It involves implementing an interface to listen for voice commands, speak responses, and check feature availability, with an acceptance criterion for enabling it via a CLI flag.
A production-ready command-line interface that transforms natural language instructions into executable code through advanced AI integration. Engineered for professional development workflows with enterprise-grade reliability and security.
A production-ready command-line interface that transforms natural language instructions into executable code through advanced AI integration. Engineered for professional development workflows with enterprise-grade reliability and security.