SMRTR summary
AI coding agents solved delivery speed, but exposed the real bottleneck: deciding what to build. PMs should now focus agents on discovery and prototyping—most organizations are still optimizing the wrong thing.
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AI coding assistants speed up the wrong thing - writing code isn't the bottleneck in software delivery.
AI can write code fast, but the hard parts — specs, context, verification, and judgment — still need serious human-driven workflow structure.
AI coding agents dramatically accelerate code writing but create a new problem where developers spend most of their time fixing and understanding AI-generated code rather than...
AI handles the coding, but developers now spend most of their day assembling context and planning — those are the new bottlenecks.
AI generates code 5x faster than humans, but the solution isn't slowing down—it's building automated pipelines that can safely handle the increased throughput.
Agentic engineering makes writing code cheap but disrupts traditional development habits built around expensive coding time, requiring new trade-off intuitions.