Code reviews are often a major bottleneck in enterprise sprint cycles. Senior engineers spend hours checking boilerplate pull requests, identifying missing error handles, and catching unintended database N+1 queries.
Here is how we integrate self-hosted LLM reviewers into automated CI/CD pipelines to catch vulnerabilities before human review.
1. Focused Diffs Over Whole-Repository Scans
Feeding entire codebases into LLMs creates hallucinated comments and high token bills. Instead, pass only git diff outputs paired with relevant interface definition files to ensure high signal-to-noise ratio.
2. Hard Failure Thresholds
Configure the CI pipeline to only block PR merges if the model identifies a high-confidence security flaw (such as hardcoded credentials or unescaped SQL strings), leaving stylistic suggestions as non-blocking comments.
