From one model pass to a panel
The first wave of tools sent a diff to a single model and pasted back whatever it said. That is fast, but one model has one blind spot, and it sees only the lines that changed. Agentic review is different. Autonomous agents read the change, pull in the context around it, and act on what they find, rather than answering in a single shot.
Vetoo runs a panel: several agents read the same pull request in parallel, each from a different angle, across a mix of models, including frontier ones. Their findings are reconciled into one prioritised verdict. No single model decides the review, because no single model catches everything.
What it actually looks at
A useful review is wider than “does this compile.” A good agent panel covers:
Context beyond the diff
The hardest bugs depend on things outside the changed lines: a caller three files away, an assumption in a shared module, a decision recorded in a ticket. Stronger reviewers reach for that context. Vetoo adds a context agent that folds Notion and Linear into the review, with Jira and Slack coming soon, and reads a VETOO.md file you commit to your repo, so the review reflects what the change was meant to do.
Some of that context lives in another repo entirely: a contract defined in a dependency, a caller in a sibling service. Vetoo clones the repositories your change depends on into an isolated, encrypted workspace, and searches your organisation for the callers a change could break, so the panel reasons across services rather than one diff in isolation. The workspace is wiped the instant the review ends, so nothing crosses repos and stays.
What happens to your code
This is the question security teams ask first, and it should be. With Vetoo, your code, and the dependency repos it pulls in, is held only while the review runs, encrypted in transit and handled in isolation, then deleted the instant the verdict lands. The retention window for your source is zero. Review comments and their metadata stick around for a limited time so conversations and team memory keep working, but your source code is never retained or used to train a model.
Where a human still comes in
AI review is a first pass, not the last word. It clears the mechanical objections so the queue stops clogging, which means a human reviews work that has already been vetted rather than raw output. Judgement calls about product, taste and tradeoffs stay with your team. The point is not to replace the reviewer. It is to make sure nothing reaches them unreviewed.
How Vetoo does it
The moment a pull request opens on GitHub or GitLab, Vetoo takes the first pass: a panel of agents reviews it, suppresses findings your team has voted down before, and posts one review with inline comments and a clear verdict. Comment “review this” any time to ask for a fresh pass at a higher bar.