AI Code Review Agent
Stackline watches your GitHub repos. When a PR opens, it reviews the diff, explains its reasoning, flags what matters, and sends you a daily report of everything it caught.
Not a bot that decorates your diff. An employee that works your review queue.
Connects to your GitHub repos. Every pull request opened or updated gets a full review — no human triggered, no CI step required.
Every comment comes with context. Why this is a problem, what could go wrong, and what a better version looks like. Not just "consider refactoring."
The more PRs it reviews, the sharper it gets. It reads your patterns, your conventions, your definitions of done.
Every morning, a plain summary: how many PRs merged, what it flagged, what your team shipped. No dashboard to check — it arrives in your inbox.
Install the Stackline GitHub App on your organization or specific repos. Takes under two minutes. No YAML, no webhook config, no CI changes.
Every PR automatically gets a structured review — inline comments on specific lines, a summary at the top, and a severity rating on every finding.
Reviewers get a head start. Senior devs stop drowning in nitpicks. Your team closes PRs faster and ships with more confidence.
"We built AI that writes code. Then we forgot to build the AI that reviews it."
The coding agent wave gave us 3x more code output per developer. But the review process didn't change at all. One person reads the diff, flags what they can, and approves. That bottleneck is now the whole system.
Stackline is the first reviewer your team never has to ask. It shows up on every PR, knows your codebase, and flags what's actually wrong — not just what looks different.
Every day a PR sits open, your team is slower, your context is colder, and your users are waiting. Stackline closes that gap — not with a chatbot, but with a working employee that reviews every change your team makes.
Solid fix — nullish coalescing handles both
nullandundefinedwhere||[]would treat0or""as falsy. No blockers here.2 PRs reviewed today. 1 blocker found (see below), 5 suggestions, 2 nitpicks.