Know where to look
A file list ordered by risk gives reviewers a clear path through the pull request. Start with the changes most likely to matter.
AI assisted code review · Human controlled
Rocky reads the pull request, sorts the risk, and drafts findings. Your team gets a clear place to start, and the final say on every review comment.
Backed by mY self determination.
The retry wrapper can submit a payment again when the first request times out after the gateway has already accepted it.
If the gateway processes the charge but its response is lost, the next attempt uses a new request key and may charge the customer twice.
Every finding is a draft until a reviewer decides what to do with it.
A clearer review, start to finish
A pull request is more than a stack of changed files. Rocky helps you understand what changed, where to look, and which questions deserve a human answer.
A file list ordered by risk gives reviewers a clear path through the pull request. Start with the changes most likely to matter.
Rocky drafts a finding. You accept it, edit it, or dismiss it. Nothing written by AI is posted without your approval.
A change map makes the shape of a pull request legible, from the files it touches to the paths through the system.
Ask a question about the change and get an answer grounded in its diff, findings, and project context.
The change map
Follow the path from an entry point through the files a pull request touches. A visual map helps reviewers connect code that a flat file list can hide.
Follow the review flowA review stays in your hands
Rocky prepares the context. Your reviewer chooses what belongs in the conversation.
Rocky follows the review on GitHub and builds an analysis for the current revision.
Scan the risk summary, move through files in order, and explore the change map.
Accept, edit, or dismiss each draft. Your review stays yours from first pass to final comment.
Your team stays in control
Rocky creates review drafts, never automatic comments. Accept a draft as written, edit it to fit your voice, or dismiss it with a reason. Every action stays attached to the finding.
01 Human approval before anything is posted
02 Review findings with their source and context
03 Project memory helps future reviews learn from decisions
Straight answers
What developers should know about Rocky’s AI code review workflow.
Rocky Reviews is an open source AI code review tool for GitHub pull requests. It organizes changed files by risk, drafts review findings, and helps developers understand how code changes connect.
No. Rocky prepares drafts for a person to review. A reviewer must accept or edit a finding before it can be posted; they can also dismiss it.
Rocky creates a file list ordered by risk, summarizes the pull request, drafts findings with file context, and visualizes relationships between changed code in a change map.
Yes. Rocky’s open source core is licensed under version 3 of the GNU Affero General Public License and can run on your own infrastructure. Visit the public GitHub repository for the code and setup guidance.
GitHub is the source of truth for pull requests, comments, and approvals. Rocky stores derived review data that can be rebuilt from GitHub.
Open source core · GNU Affero General Public License
Explore the code, run Rocky on your own infrastructure, and help shape a more thoughtful way to review pull requests.