The part people skip is the review loop. Everyone wants “let it build”, but the real work is still reading every change line by line.
Thank you for the thoughtful comment.
I partially agree. You're right that thorough review remains essential — no one should blindly accept changes without understanding them.
That said, I've found that in many cases, it's actually more effective to re-engage the agent and ask it to explain or walk through the specific changes it made, rather than reading every single line manually from scratch. This often helps highlight the important or risky parts more efficiently while still keeping human oversight.
Of course, for critical or high-risk changes, there's no substitute for carefully reading through the diff yourself.
Do you have any particular methods or prompts you use when reviewing agent-generated code?
Right now, I personally feel that Codex is more effective than the latest Claude Code (4.8) for most practical development work.
The main reasons are:
It tends to handle larger, repository-wide changes more reliably with fewer off-track modifications.
The GitHub integration feels more seamless — it produces cleaner, better-structured PRs that are easier to review.
It stays better within the scope I define, which reduces the amount of back-and-forth needed compared to the more interactive approach of Claude Code.
That said, Claude Code is still excellent for exploratory investigation and smaller, step-by-step tasks where you want tight control and frequent confirmations.
It really depends on the type of work, but for end-to-end implementation and shipping features, Codex has been giving me better results lately.
What kind of tasks are you mainly using these agents for?
Julian Neagu
500+ AI tools shipped solo. Founder of VisionVix.
The part people skip is the review loop. Everyone wants “let it build”, but the real work is still reading every change line by line.