Are AI coding agents worth the investment? AI coding agents have crossed the experimentation phase. Most engineering organizations now use them daily, and measurable productivity gains are real. Yet many orgnizations are discovering an uncomfortable reality: faster code generation does not automatically translate into faster software delivery. The constraint has shifted from writing code to reviewing, governing, and maintaining it. AI has commoditized code generation, what remains scarce is the engineering judgment - understanding architecture, evaluating trade-offs, managing risk, and deciding what code should exist in the first place. Organizations that mistake generated code for engineering productivity will optimize the wrong metric. Organizations deploying coding agents without architectural guardrails, security controls, and revised engineering practices will accumulate a new form of technical debt that will surface months after the initial product...
My notes along the way as I continue to explore different technologies