AI

GitHub Clues Help AI Explain Code Better

Kari Jaaskelainen

06 Nov 2025 — 1 min read

Ever read code and wonder "why does this exist"? This research taps into GitHub's natural-language breadcrumbs like pull requests, issues, and commit messages to help AI explain code with real project context.

How it works:

Gather relevant GitHub discussions and structure them.
Explain the code's high-level purpose using that context.
Validate the explanation to reduce mistakes.

The team built a standalone tool and an MCP server, so these "code insights" can plug into other AI dev tools and enrich standard LLM explanations.

In a small user study with developers from open and proprietary projects, the generated insights were often helpful, non-trivial, and free from hallucinations.

Paper by Ziv Nevo, Orna Raz, Karen Yorav. Read more: http://arxiv.org/abs/2511.03549v1

Paper: http://arxiv.org/abs/2511.03549v1

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AI LLM GitHub CodeUnderstanding DevTools SoftwareEngineering Research MCP

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