this post was submitted on 25 Sep 2025
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TLDR: the paper introduces the use of a Repository Planning Graph to overcome the planning and consistency problems that have prevented LLMs from generating complete, complex software projects.

The graph allows reliably generating codebases 3.9x larger at 36K lines of code with far more correct pass rate at 69.7% compared to mere 33.9% before. Replacing ambiguous natural language with a structured graph allows the LLM to plan and execute long-horizon tasks reliably and at scale.

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