Why most enterprise AI coding pilots underperform (Hint: It's not the model)

Generative AI in software engineering has advanced from simple autocomplete functions to sophisticated agentic workflows capable of planning, executing, and iterating across multiple steps, driven by reasoning across design, testing, and validation processes. However, enterprise deployments often underperform because the primary challenge is not the AI models themselves but the surrounding system environment, including workflow design, context, and orchestration, which are crucial for enabling effective agentic behavior. Recent developments include the creation of dedicated orchestration platforms like GitHub's Agent and Agent HQ, aimed at facilitating multi-agent collaboration within enterprise pipelines. Despite these innovations, early field