Tag1 Insights: Human in the Middle: The Review Is Still yours

The useful part

That's what this post is about, and it's what you want when the review goes out under your name, especially when you're the gate a client is paying to stand between their code and their production site. This post shows the pattern: AI drafts your whole review into GitHub pending reviews or GitLab draft notes, and you decide, line by line, what gets published under your name. The first is the one most people have seen: a bot that reads the pull request and posts its review straight to it.

How it works

• There are two ways to put that to work, and they're not in competition.
• Tag1's own ai-pr-review runs on every push, combining deterministic scanners with AI reviewers, and can gate merges on what it finds: a leaked credential, a known CVE, a phpstan error, or a logic bug an...
• Both GitHub and GitLab have a staging layer for reviews: comments you write that nobody else can see until you press submit.
• Point your AI at that layer instead of at the publish button and you get the machine's thoroughness with a person still accountable for every published word.

Details worth keeping

Tag1 built to put AI into the PR review process. Review AI is good at the unglamorous parts of review: actually reading every line of a large diff, knowing the obscure API pitfalls no single reviewer carries in their head, checking the change against the rest of the codebase for consistency, and asking every "what if this input is empty" question without getting bored. What it can't tell you is which of its twenty comments actually matter.