Agent Technology Adoption - Agents are increasingly used in software engineering, but deployment results are inconsistent [1] - Agents often perform well in demonstrations but fail in production environments [1] - The issue is not model quality but the readiness of the environment for agents [1] Factors Affecting Agent Performance - Agents require fast feedback loops, clear instructions, and predictable environments [1] - Agents can fail due to missing environment variables, undocumented dependencies, and unwritten rules [1] Agent Readiness Framework - Agent Readiness can be measured and improved to address the challenges [1] - Eight categories determine codebase agent-readiness, including style validation, build systems, development environments, and observability [1] - Organizations can score their repositories, identify quick wins, and create environments where agents can reliably ship code [1] Practical Application - Factory AI's experience running autonomous agents in enterprise production repositories provides real-world insights [1] - A practical framework can help teams make their agents more productive [1]