Your AI Writes Code Faster Than You Can Review It
AI writes code faster than humans can read it.
The bottleneck changed. It used to be writing code. Now the bottleneck is trusting the code.
Most teams fail here. They do one of two things:
They review everything the same way. A one-line fix waits in the same queue as a massive payment update. You lose all the speed AI gave you.
They review almost nothing. They trust the AI because it looks confident. This leads to broken security or bad data. Confidence is not correctness.
Graduated Review Authority (GRA) solves this. It changes how you review code based on two factors: the risk level and the evidence of correctness.
A simple change that passes all automated tests should not face the same scrutiny as a change to your payment logic.
The rule is simple:
Generation is not authority. The pipeline is the authority.
Anyone can write code. An agent or a person. Writing code does not mean you can ship it. Approval comes from passing validation. A model proposes a change. It does not grant itself permission to ship.
GRA uses three levels of evidence:
Deterministic gates. These are tests, security scans, and policy checks. They provide a fixed answer. A failure here stops everything.
Agent review. This is useful but not perfect. It only counts if the reviewer is separate from the author.
Human review. Humans handle what machines cannot. Humans decide on risk, intent, and architecture.
Certain tasks always require a human. These include authentication, money movement, and regulated data.
The system learns. A type of change with a clean record gets less scrutiny. A change that causes bugs gets more oversight. The system can tighten review, but it never loosens it past a safe floor.
AI-native delivery is not about letting agents ship code. It is about spending human attention where it matters most.
Source: https://dev.to/joshuamil/your-ai-writes-code-faster-than-you-can-review-it-now-what-bi6
Optional learning community: https://t.me/GyaanSetuAi