How do you integrate AWS CodeGuru into CI/CD without slowing delivery to a crawl?
Quick Answer
Scan incrementally where possible, run the slow full scan on a schedule rather than every commit, cache the vulnerability database, and fail the build only on the severities you have actually agreed to block.
Detailed Answer
The usual failure mode is a security gate so slow or noisy that teams bypass it. For AWS CodeGuru, the practical levers are: scan only what changed on pull requests and keep the exhaustive scan for a nightly or pre-release run; cache whatever database or ruleset the tool downloads so CI is not re-fetching it every job; and parallelise across services rather than scanning a monorepo serially.
Severity policy matters as much as speed. Blocking on every finding trains people to add blanket suppressions. A workable policy blocks on Critical (and often High) with a documented, time-boxed exception process, while everything lower is tracked as a ticket rather than a hard stop.
For this tool specifically, tune Reviewer for pull-request comments and security detectors vs Profiler for runtime CPU/heap hotspots, repository association, how it compares with dedicated SAST, and the migration toward Amazon Q Developer reviews. Finally, make the gate honest: a pull-request review comment blocking merge on a detected security issue. A gate that warns but never blocks is documentation, not a control.
Code Example
# CI integration sketch for AWS CodeGuru # - cache the vulnerability db / ruleset between runs # - scan the diff on pull requests, full scan nightly # - set an explicit severity threshold, not "fail on anything" # - upload the report as a build artifact and as a PR annotation # - allow a documented, expiring exception rather than a permanent ignore
Interview Tip
Show you can balance security coverage against developer feedback time — name the tradeoff explicitly.