AntonOsika/gpt-engineer
gpt-engineer is an open-source CLI platform that enables users to generate and improve software code through natural language instructions using AI models, supporting various AI backends and community collaboration.
Awesome AI Agents › Smart Contract Platforms
aws/amazon-q-developer-cli
Amazon Q Developer CLI is a powerful tool designed to enhance the terminal experience on macOS and Linux by integrating IDE-style autocomplete and AI-driven agentic capabilities. It supports hundreds of popular command-line interfaces such as git, npm, docker, and aws, providing intelligent autocompletion that streamlines command input and reduces errors. Beyond autocomplete, Amazon Q CLI offers a natural language chat feature that allows users to interact with their terminal using conversational language. This feature helps users ask questions, debug issues, and explore their codebase more intuitively. The tool is contextually aware, meaning it integrates information from the user's local development environment to tailor responses and suggestions specifically to the user's code and setup. One of the standout features is agentic execution, which enables Amazon Q to perform actions on behalf of the user, such as generating code, editing files, automating Git workflows, and resolving merge conflicts, all with user permission. Installation is straightforward with options available for macOS (via DMG or Homebrew), various Linux distributions (including Ubuntu/Debian and AppImage), and Windows (through WSL or discussions for native support). The project encourages contributions and provides detailed setup instructions for development, including dependencies installation, Rust toolchain setup, and pre-commit hooks configuration. The repository is organized into multiple components, including autocomplete and dashboard React apps, a headless terminal called figterm, the main q CLI, a Rust desktop app, input methods for macOS, and IDE plugins for VSCode and JetBrains. Additional folders contain build scripts, internal Rust crates, npm packages, protocol buffer specifications, and integration tests. This modular architecture supports robust inter-process communication and a seamless user experience. Overall, Amazon Q Developer CLI significantly enhances terminal productivity by combining AI, contextual awareness, and automation in a developer-friendly package.
https://github.com/aws/amazon-q-developer-cli
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