AI writes code at an astonishing speed in 2026, but “it compiles” isn’t “it’s good”. Accepting what it generates without reviewing is the fastest way to introduce bugs, security flaws and technical debt into your project. Here’s how to review AI code with judgement, based on our own experience coding with it daily.
Why we never accept code blindly
An AI assistant is like a brilliant, lightning-fast intern… who sometimes invents a function that doesn’t exist or copies an insecure pattern without warning. It sounds confident even when it’s wrong. The responsibility for the code you put into production is yours, not the model’s.
What to always review
- Understand it before accepting it: if you don’t know what a line does, ask it to explain. Code you don’t understand is code you won’t be able to fix.
- Security: watch for sensitive data in the code, input validation, injections and hard-coded secrets. That’s where AI slips up most.
- Edge cases: AI usually covers the “happy path” and forgets errors: empty inputs, nulls, network failures. Ask about them explicitly.
- Dependencies: it sometimes suggests non-existent or outdated libraries. Verify every import exists and is maintained.
- That it does what you asked: not what “looks” right. Read the diff calmly.
Our experience reviewing AI code
- The scare that changed our method: we accepted a block “that worked” and it turned out to store a key in plain text. Since then, anything touching security gets reviewed line by line, no rushing.
- What works best for us: asking for small, reviewable changes, not “rewrite the whole module”. A 20-line diff gets reviewed; a 400-line one doesn’t, really.
- The habit that prevents the most bugs: running the tests before accepting anything. If there are no tests, we ask it to write them first.
Our advice: treat AI as a pair programmer that speeds you up, not an autopilot. Work on branches, review the diff and always let a human—you—give the green light before merging. You go much faster without giving up control.
A review flow that works
- Ask for bounded changes on a branch.
- Read the full diff and understand each part.
- Run the tests (and ask for more if missing).
- Review security and edge cases.
- Only then, merge.
Frequently asked questions
Can I trust AI code if the tests pass?
It’s a good sign, but not enough. Tests cover what someone thought to cover; also review security, performance and that it does what you asked.
Does AI make me a worse programmer?
Only if you copy without understanding. If you ask it to explain and you review, it makes you better: you learn new patterns and it takes the mechanical work off your plate.
Conclusion
AI is a brutal accelerator for coding, but the judgement is still human. Understand, review and test before accepting. To go further, see our terminal agents comparison (Claude Code, Codex, Gemini CLI) and the Claude Code Skill with ready-to-use rules.
