An experiment involved using multiple AI agents, including Claude, Codex, and Gemini, to collaboratively build a SQLite-like database engine in Rust. The project resulted in approximately 19,000 lines of code, implementing various database components and passing 282 AI-generated unit tests, though it failed against the official SQLite test suite. The process highlighted significant coordination overhead, with over half of the commits dedicated to managing shared tasks and locks, and emphasized the importance of strict module boundaries and frequent testing for effective parallel agent development. AI
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IMPACT Demonstrates the potential and challenges of using multiple AI agents for complex software engineering tasks, highlighting coordination needs and the value of robust testing.
RANK_REASON This is a research paper detailing an experiment in agent orchestration for software development. [lever_c_demoted from research: ic=1 ai=1.0]