AI did not kill code review. It made the burden of proof explicit. Ship changes with evidence like manual verification and automated tests, then use review f...

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Addy Osmani

AI-generated code is becoming mainstream, with over 30% of senior developers shipping mostly AI-written code by early 2026. However, AI-generated code contains 75% more logic errors and 45% security flaws compared to human code. The key shift is that code review now focuses on verification and accountability rather than line-by-line inspection. Solo developers can ship at "inference speed" by relying on comprehensive automated testing, while teams must maintain human oversight for security, context sharing, and maintainability. The bottleneck has moved from writing code to proving it works through evidence like tests, manual verification, and clear documentation of AI's role.

AI writes code faster. Your job is still to prove it works.

Solo Devs: Shipping at “inference speed”

The PR Contract: What authors owe reviewers

Writing the code was never the bottleneck

AI can write code fast, but it still can’t prove it works.
I’ve learned that the real bottleneck now is verification — running it, testing it, and breaking it myself.
AI accelerates the draft,
But the responsibility is still ours.

After almost 1 year of using AI to write code, I’ve came to a realization that me writing code from scratch results in faster shipping, because a lot of times the AI code is so bad that I just need to rewrite the whole thing. also writing code was NEVER a bottleneck.
Here comes the “AI prompt “engineers” smh”.

There is another issue that no one seems to be discussing: AI has turned ambiguous Markdown and English into a programming language.
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