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Learn how to transform your codebase into an environment where AI agents can operate effectively and reliably in production. Discover the eight critical categories that determine agent readiness, including style validation, build systems, development environments, and observability. Explore why agents that perform well in demonstrations often fail in real-world scenarios due to environmental issues like missing variables, undocumented dependencies, and institutional knowledge gaps. Gain practical insights from Factory AI's experience deploying autonomous agents in enterprise production repositories, and acquire a framework for scoring your repositories, identifying quick improvements, and creating conditions where agents consistently deliver reliable code. Master the transition from impressive demos to dependable production deployments by addressing the environmental factors that make or break agent performance in software engineering workflows.
