AI coding tools need guardrails, not just licenses
Coding agents are getting fast and cheap, but review load and traceability become the bottleneck.
Coding agents now work across Windows and Linux and can reference sources in their output. That is progress, but it does not solve the hard part: how teams trust the code.
A simple policy that scales
Require a short design note for any agent-generated change that touches core systems. If there is no design, there is no merge.
Log provenance. Keep the prompt, tool calls, and external references tied to the commit. Make it reviewable by humans.
Set test gates and risk tiers. Low risk packages can move fast, high risk systems need extra review and slower rollout.
Audit dependency changes. Many agent mistakes show up in imports and configuration files, not in business logic.
What this means for leaders
If you let agents write code, you need to invest in review capacity and automation. Otherwise you just move the bottleneck from coding to review.
We help teams set guardrails so senior engineers can focus on the hard decisions, not chase unknown code.
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