Multi-Agent PR Reviewer
Paste any public GitHub PR. Four specialised reviewers — correctness, security, style, tests — read the diff in parallel. A lead reviewer synthesises a verdict with severity-graded top issues. Real-utility multi-agent orchestration, not a demo of one.
Paste a public GitHub PR
Four specialised agents — correctness, security, style, tests — review it in parallel. A lead reviewer synthesises the verdict.
- fetch01
Server-side, the URL is parsed and the PR + file diffs are pulled from the GitHub public API. Up to 10 largest files survive into the review window with per-file diff truncation, so the context stays cheap.
- fan out02
The browser fires four parallel POSTs to the shared streaming LLM route, each with a tightly scoped system prompt for one review dimension. Cards stream in independently as the model produces tokens.
- synthesise03
Once all four reviewers finish, a lead-reviewer prompt receives the diff plus all four review outputs and emits a structured verdict (LGTM / LGTM_WITH_NITS / NEEDS_CHANGES / BLOCK) plus the top severity-graded issues.
- rate limit04
Five LLM calls per review hit the shared per-IP counter; abuse caps out the same way Ask Amit does.
Limits: only public repos, ≤10 largest files per PR, diff snippets truncated to 2 KB each, output capped per reviewer.