Agentic code carries the same blind spots
A coding agent optimizes for a working result, not a hardened one. The failure modes are the same ones that show up in vibe-coded apps, because they come from the underlying model, not the interface around it.
- Authorization regressions
An agent editing a query or endpoint can quietly drop an ownership check. Re-verify access control after every change to data-access code.
- Input trust
Generated handlers tend to assume well-formed input. Confirm validation lives on the server, not just the UI.
- Hallucinated dependencies
Agents install packages on their own. Diff every added dependency and confirm it actually exists and is the one you intended.
- Secrets during refactors
Watch for keys moved into client-reachable code or committed to the repo while the agent reorganized files.
Autonomy raises the stakes
The more steps an agent takes without a human in the loop, the more unreviewed decisions reach your branch. The fix is not to slow the agent down; it is to make the safety net automatic so it keeps pace with the output.
Automate the deterministic checks (access control patterns, unsafe queries, exposed secrets, dependency sanity) on every commit, and reserve human attention for genuine judgment calls.
The pre-launch checklist
- Re-verify authorization after data-access edits
Ownership checks survive agent refactors.
- Confirm server-side input validation at every boundary
Not just client-side.
- Diff every dependency the agent added
Confirm each package is real, intended, and pinned.
- Scan for secrets relocated into client code
Rotate anything that was exposed.
- Check for N+1 and unbounded queries
Agent cleanups can quietly undo performance work.
- Automate the deterministic checks on every commit
Keep the safety net at agent speed.
Run this checklist on your repo, automatically
PeakStack scores every commit for security, scalability, and cost - with the exact line and a fix.
Request accessFAQ
Is Codex-generated code riskier than vibe-coded code?
It carries the same risks (insecure access control, hallucinated packages, scale and cost issues) because they come from the model, not the tool. Autonomy adds volume and unreviewed decisions, so review matters at least as much.
Do I need to review what an agent commits?
Yes. An agent makes many decisions you did not individually approve. Verify access control, input validation, dependencies, and secret handling before merging.
How do I review agentic code without slowing down?
Automate the deterministic checks (access control, unsafe queries, exposed secrets, dependency sanity). PeakStack runs that automated review on every commit, whether a human or an agent wrote it.