Built for teams shipping under pressure

Your team already pays for AI. Now get review quality that feels senior.

Most AI review tools add another platform, another bill, and generic output. Argus keeps you in your existing stack, understands real diffs, and returns feedback that engineers can trust.

Use existing subscriptions of Claude Code or Codex
Evaluate diffs in terminal or VSCode
Talk to code through Claude Code or Codex with structured outcomes

Start with GitHub Install from npm

Open source. MIT licensed. Built for real PR workflows.

Live Review Session org/repo#324

$ argus https://github.com/org/repo/pull/324 --quick

Review Summary
- critical: 2
- warning: 5
- info: 4

Critical Findings
1. auth middleware bypass in /api/admin
2. unsafe dynamic SQL in reportService

Recommended next steps
- block merge until critical fixed
- add regression tests on auth gate

src/services/reportService.ts

line 118

Critical: Unsanitized user input in query builder

Argus highlighted this directly in SARIF output for inline review and team discussion.

security critical sql-injection

No New AI Contract

Keep procurement simple by reusing existing Claude Code or Codex subscriptions.

No Context Switching

Review where you already work: CLI, VSCode, PR comments, and markdown outputs.

No Generic Feedback

Architect-level prompts produce actionable findings with severity and impact context.

AI-native by default

Designed for the 2026 engineering stack

Argus acts like an AI review command center

Bring your preferred model runtime, feed it authentic repository context, and get structured findings instead of vague text walls. Everything is optimized for a human+AI loop, not one-shot generation.

Model-flexible: Claude Code and Codex supported
Context-rich: PR metadata, diffs, commits, changed files
Action-ready: severity, impact, recommendation, export formats

Empathy-first product design

This is what engineering teams tell us they need

"We already pay for AI. Why another monthly bill?"

Argus plugs into the subscriptions your developers already use every day.

"Most AI review output is broad and low-signal."

Argus is tuned for architecture, security, and cross-module impact, not just style nits.

"Don’t force us into another dashboard."

Terminal-first plus SARIF and PR comment workflows keep review inside your team habits.

Workflow

From PR link to actionable decision in minutes

01

Input any PR reference

Full URL, shorthand, or PR number from your current repo.

02

Argus reads real diff context

Files changed, commit history, and branch metadata are assembled through GitHub CLI.

03

Claude Code or Codex performs review

Use your existing AI login and model access, no separate API key path required.

04

Ship clear outputs for humans and tools

Terminal summaries, markdown reports, JSON, and SARIF for IDE-based investigation.

Production Readiness

Open source project discipline, not a prototype landing page

Reliability

CI matrix on Node 18/20/22
Full workspace test runs
Packed-install smoke tests in CI

Governance

Security policy and disclosure process
Code of conduct and contribution standards
Dependabot and release changelog discipline

Developer Experience

CLI-first usage with quick-start defaults
Structured issue templates and PR template
Pages documentation deployed from workflow

Make PR review feel like a senior engineer is in the room.

If your team is already using Claude Code or Codex, Argus gives you an immediate upgrade in review quality with minimal adoption friction.

Explore repository Install Argus