GitHub Next
Free tierGitHub's research lab exploring the future of software development
Free·All audiences·Powered by GitHub Copilot / OpenAI·Open source
Key strengths
Cutting-edge AI research prototypes for software developmentAgentic workflows and automation for GitHub ActionsHuman-in-the-loop code migration and verificationLLM-powered codebase understanding and navigationExploration of AI safety and integrity filtering for agentic systems
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San Francisco, USA
Founded 2021
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- Building GitHub Actions-based LLM agents — Leverage the open-source Agentic Workflows templates to compose multi-step, goal-driven automation directly in GitHub Actions with natural-language task definitions.
- Implementing prompt-injection defenses — Integrate the integrity filtering module into any agentic pipeline that processes untrusted repository content (issues, PR comments, commit messages) before passing data to an LLM.
- Automated codebase migrations with verification — Use Crane's agentic planner to break large-scale refactors (e.g., API version upgrades, dependency swaps) into atomic, testable steps with rollback support.
- LLM-powered repository indexing and search — Prototype semantic codebase navigation using Repo Mind / Copernicus as a reference architecture for embedding and querying large codebases.
- Modular agent prompt engineering — Apply the Agent Functions pattern to decompose monolithic agent prompts into reusable, parameterized subroutines for cleaner, more maintainable LLM pipelines.
- Research into continuous AI in software platforms — Study the Continuous AI project as a reference for integrating persistent, event-driven LLM automation into collaborative software development platforms.
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