YerbaPage/Awesome-Repo-Level-Code-Generation

Must-read papers on Repository-level Code Generation & Issue Resolution πŸ”₯

45
/ 100
Emerging

This is a curated collection of research papers and resources focused on automating various software development tasks at the repository level. It helps researchers and practitioners explore advancements in using AI to generate code, fix bugs, complete code, translate code, and create unit tests. You'll find academic papers that take in problem descriptions or existing codebases and offer solutions or insights for improving code generation systems.

263 stars.

Use this if you are a researcher or developer keen on exploring the cutting-edge of AI for software engineering, specifically in automating code-related tasks within a larger codebase context.

Not ideal if you are looking for an off-the-shelf tool or library to immediately integrate into your existing development workflow for practical use.

software-engineering-research automated-code-generation bug-fixing codebase-management large-language-models-in-dev
No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 13 / 25

How are scores calculated?

Stars

263

Forks

21

Language

License

MIT

Last pushed

Dec 22, 2025

Commits (30d)

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