EvoCodeAgent: Project-Level Code Generation via Architecture-Code Co-Evolution and Experience-Guided Repair
Story 9, from arXiv
EvoCodeAgent is a new framework for generating complete software projects by evolving both architecture and code together, using experience to improve over time. It outperforms existing methods in test pass rates.
Key points
- EvoCodeAgent addresses limitations of existing code generation tools by evolving architecture and code simultaneously.
- It uses an evolving architectural state initialized from project specs and reconciles predicted and realized relations.
- Experience from past revisions is abstracted to guide future code generation.
- Experiments show it achieves 60.48% and 27.73% unit test pass rates on benchmark projects.
- It relies on tool-grounded verification to ensure reliable state updates.
Why it matters
Software engineers seeking to automate project-level code generation will benefit from EvoCodeAgent's ability to maintain alignment between architecture and implementation, and to learn from past errors.
Counterpoint
The approach depends on GPT-5, which may not be accessible to all engineers, and the effectiveness may vary with different project structures and requirements.
Sources
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