lazygit
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.

Automated, logic-aware README.md generation via advanced LLM orchestration for technical documentation.
Readme-AI represents the 2026 gold standard for automated technical documentation. Unlike legacy template-based tools, it employs a sophisticated LLM-orchestration layer that parses source code files (Python, JavaScript, Go, Rust, etc.) to understand the actual business logic rather than just scanning file names. By extracting directory structures, dependency maps, and environment variables, it constructs comprehensive Markdown documentation that includes installation guides, usage instructions, and architectural overviews. Its 2026 market position is defined by its ability to integrate directly into CI/CD pipelines as a 'Documentation-as-Code' gatekeeper. The tool leverages RAG (Retrieval-Augmented Generation) to compare codebase changes with existing docs, ensuring the README remains the 'single source of truth'. With native support for both proprietary models (OpenAI/Anthropic) and local inference engines (Ollama/Llama 4), it offers enterprise-grade flexibility for teams with strict data privacy requirements. It effectively bridges the gap between rapid code iteration and the often-neglected task of high-quality developer onboarding documentation.
Uses RAG-based analysis to explain the 'why' behind code blocks, not just the 'what'.
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.
The version-controlled prompt registry for professional LLM orchestration.
The Developer-First Workflow-as-Code Platform for Orchestrating Human and Machine Tasks.
A command-line task runner that eliminates the syntax debt of Make for modern software engineering.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Automatically queries GitHub/PyPI/NPM APIs to display live project stats.
Allows for 100% air-gapped documentation generation using local Llama or Mistral models.
Automatically translates documentation into 10+ languages while maintaining technical terminology.
Generates hierarchical tree structures with auto-commentary for each folder's purpose.
A GitHub Action that fails the build if code changes significantly outpace README updates.
Supports highly flexible UI/UX for READMEs via Jinja2 template injection.
Developers hate writing documentation, leading to poor adoption of great tools.
Registry Updated:2/7/2026
Publish to GitHub
Undocumented legacy code that no current team member understands.
50+ microservices all having different README styles and missing info.