The All-Seeing Code Reviewer
Find the bugs your team missed.
AI code review that understands your whole system — not just the diff. Traces dependencies, remembers past incidents, catches the bugs that ship to production.
const session = await getSession(req); if (!session) return res.status(401).end(); if (!session) return res.json({ ok: false }); const user = session.user; const data = await db.query(req.body.sql); cache.set(`user_${user.id}`, data, 0); return res.json({ data });bug recall
precision
per review
specialist reviewers
Real bugs, not lint warnings
SQL injection. Auth bypass. Race conditions. The bugs that pass code review and break production at 2am.
feat/billing→main const token = req.headers.authorization; const token = req.headers.authorization?.split(" ")[1]; const decoded = jwt.verify(token, SECRET);Raw header includes 'Bearer ' prefix. jwt.verify will fail silently on malformed tokens and return the header string as the decoded payload. This is a privilege escalation vector.
await stripe.subscriptions.del(sub.id); await db.subscriptions.update({ id: sub.id, status: "cancelled" });Stripe cancellation succeeds but if the DB update fails, the user is cancelled in Stripe but active in your system. Wrap in a transaction or add a reconciliation check.
export function memoize<T>(fn: () => T): () => T { let cached: T | undefined; return () => cached ?? (cached = fn());This memoize implementation holds references indefinitely. For server-side usage, consider a WeakRef or TTL to avoid memory leaks across long-running requests.
When you change a function, Argus traces who calls it, what tests cover it, and what breaks downstream. Not just the diff.
That edge case from 6 months ago? Still in memory. Past bugs, incidents, and team decisions inform every future review.
React 👍 to confirm findings, 👎 to dismiss. Argus learns your patterns. False positives shrink. Real catches stay sharp.
How it works
Every PR gets the same rigorous pipeline. No shortcuts.
Fast LLM classifies every file: skip, skim, or deep. No time wasted on generated code or lock files.
Gathers cross-file context — callers, imports, dependency graph, past bugs, decision traces. Shared with all specialists.
4 specialists review in parallel: Bug Hunter, Security, Architecture, Regression & Edge Case. Full codebase awareness.
Removes duplicate findings across specialists. Validates against the diff. Runs blast radius analysis and code simulations.
Each finding scored 0–100. Below 65 dropped. Severity calibrated so blockers mean something.
Generates a compact summary with severity counts, fix ordering, root-cause analysis, and Mermaid diagrams for complex PRs.
One atomic review with 🔴 blockers, 🟡 should-fix, 💡 suggestions. React 👍 to confirm, 👎 to dismiss. Every review makes Argus smarter.
Pricing
Bring your own LLM key via OpenRouter. You control the model, the cost, and the quality.
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Everything in Free, plus
Install the GitHub App. Connect your repos. First review in under two minutes.
Free during early access. No credit card required.
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