Daily Brief: Review Is the New Engineering Bottleneck

Addy Osmani’s new essay argues that coding agents have shifted the hard part of software from writing code to verifying it. That matches what operators are seeing across teams: output expands quickly, but review, defect detection, and architectural judgment do not scale automatically with it.

This is bigger than engineering throughput. Product builders ship quality through review systems, not just generation systems. If your team can create far more code, copy, tests, specs, or experiments than it can evaluate, you have moved the bottleneck rather than removed it. The advantage goes to teams that design better verification loops.

Audit one AI-assisted workflow and write down the verification stack in order: what the agent checks, what a second tool checks, what a human checks, and what evidence is attached before approval. If any step depends on intuition alone, add a sharper artifact such as a failing test, screenshot, decision log, or metric threshold.

For your next agent-generated change, require four receipts before merge: intent summary, changed surfaces, verification evidence, and residual risk. That small review template will surface where your process is still trusting output more than understanding it.