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Factory's CTO discusses building autonomous coding agents that prioritize code quality through systematic validation signals. The platform combines a model-agnostic coding agent with tooling that analyzes codebase quality using hundreds of automated signals like linters, tests, and formatters. Research shows AI agents accelerate organizations with high-quality codebases but decelerate those with poor code standards. Factory's approach involves instrumenting quality signals into the development process and using agents to implement missing validation tools, enabling scalable autonomous development without human code review bottlenecks.

Code smells for AI agents: Q&A with Eno Reyes of Factory