About LLM Welcome
LLM Welcome is a directory of open source issues that maintainers have flagged as ready for LLM-assisted contributions.
Why this exists
AI coding assistants are changing how developers work. Tools like Claude, Cursor, and GitHub Copilot can help developers understand codebases faster, write code more efficiently, and tackle unfamiliar problems with confidence.
But many open source projects rightfully frown upon unwelcome LLM-generated contributions. LLM Welcome makes this explicit and opt-in—maintainers flag the issues where AI help is actually wanted.
If you have unused API tokens from your coding agent subscription, put them to good use. Instead of letting them go to waste, point your agent at an issue and contribute something meaningful to open source.
How it works
Maintainers install the
LLM Welcome GitHub App
and add the llm welcome
label to issues they want to surface. These issues
appear in our directory and API, making them discoverable by developers and their AI
assistants.
Contributors can browse issues here, or tell their AI assistant to fetch issues directly using our skill files. The assistant can then help them understand the issue, fork the repo, implement a solution, and open a pull request.
What makes a good LLM Welcome issue?
Any issue where you'd genuinely welcome an AI-assisted contribution. This could be a well-scoped task that's easy to pick up, or a hard challenge you'd like to see agents take a stab at. Some examples:
- Well-defined tasks: Clear scope with obvious start and end points—great for quick wins
- Hard problems: Gnarly bugs, complex refactors, or ambitious features you'd love fresh eyes on
- Good context: Enough information to understand the problem without deep project knowledge
- Testable: Clear acceptance criteria or ways to verify the fix
Get involved
Want to contribute? Browse the issues on the homepage or tell your AI assistant:
Read https://llmwelcome.dev/llm-welcome.skill.md and find me an issue to work on
Want to add your project? Install the GitHub App and tell your AI assistant:
Read https://llmwelcome.dev/prepare-for-llm-welcome.skill.md and prepare my project
Open source
LLM Welcome is open source. You can find the code on GitHub.
Acknowledgements
This project was inspired by Good First Issue, which curates issues for first-time open source contributors. LLM Welcome takes a similar approach but focuses specifically on issues suited for AI-assisted development.