Building Guardrails for AI Coding Agents in Go
How to turn recurring code review comments into automated checks, verify that they catch bugs, and decide what still needs human review.
An AI coding agent can catch a bug in one review and miss it in the next. Adding instructions or another reviewer still leaves someone to read the code and decide whether it meets the requirement. Each review takes time and tokens, even when the same requirement has been checked before.
I built a Go repository that turns selected code review requirements into automated checks. It combines linter configurations with behavioral tests, an architecture test that follows indirect imports, and scripts that validate the checks against deliberately broken code.
I call these checks guardrails: conditions a code change must meet before we accept it. For example, a goroutine that must stop after cancellation gets a test for that behavior. A rule that report calculations must be independent...
Copyright of this story solely belongs to hackernoon.com. To see the full text click HERE
