AI code review that sees your context, not just your diff. Unblocked draws on context from your whole repo, Slack, Jira, docs, PR history, and more. Every comment moves the conversation forward with cited sources. The result: high-signal comments you'll actually want to implement.
Hey Product Hunt!
Brandon, DevRel at Unblocked. We built Unblocked Code Review to give every PR the context it deserves.
It runs automatically when you open a PR, connecting to Unblocked's context engine to surface insights from your Slack conversations, Linear/Jira tickets, documentation, and previous PRs. It understands your complete codebase across repositories, not just the diff.
You can also chat with any PR to steer the review, ask questions about the codebase, or generate diagrams to understand the changes. This tremendously helps human reviewers quickly parse, understand impact, and blast radius of changes.
Every finding validates the intent of your code change against what your team actually decided, not generic rules.
I'm curious, what's your biggest code review pain point?
We've been on the beta for this for several months, and it has been great. False positive rate is near zero, "oh wow, good catch by Unblocked" rate is at least 1 per day. It is much quieter - in the best possible way - than competing tools we've tried, it is almost always right (for us, in our codebase), and it provides actionable feedback. We were delighted when we realized it was sometimes intentionally tagging folks in comments who have worked and commented a lot on code near the change(s) under review, but hadn't otherwise been notified about a PR. This is the most thoughtful, human-friendly UX I've encountered in any AI-enabled tool.
Pulling in larger codebase/product/org context makes so much sense. Can't wait to try this out!
Hard part with AI PR review is staying quiet. Only comment when issues are found in Unblocked Code Review is a good default. How do you decide when to chime in, and can teams cap comments per PR? That's the restraint that earns trust.
Hey Brandon, that line about validating intent against what the team actually decided, not generic rules, is a good insight. Was there a specific PR where you approved something that looked fine in the diff but totally missed context from a Slack thread or ticket?
Congrats on the launch — love the context-first layer powering smarter AI code reviews.
