Built for vibecoders

Understand your
whole codebase.

Atlas maps your repo into a live architecture graph, scans it for bugs and leaked secrets, and serves the answers to you and your AI.

Live graph & audits Security scan
Projects/apps/webhealth 86
Re-audit
Overview
Graph
Analysis12
Timeline
Settings
Dashboard
Page
UserCard
Component
UserStats
Component
Activity
Component
UserStore
Store
useUser
Hook
api/users
Service
Page Component Hook Store Service
◆ UserCard
src/components/UserCard.tsx
Responsibility

Renders one user's avatar + meta.

Blast-radius
3 direct · 14 transitive
Depends On
AvataruseUserUserStore
Complexity
5/10
The Problem

AI can write any function. It still doesn't know your system.

Your assistant sees a handful of open tabs. It can't see the graph behind them — who calls whom, what breaks on a rename, where the duplicates and the leaked keys hide. So it writes code that looks right and quietly isn't, and the same blind spot costs your reviewers hours every week.

Codebase Chaos

Hundreds of files, no shared map. New contributors — and AI — get lost in week one.

Duplicate Everything

The same component reinvented in three folders, because nobody saw the first two.

Dead Code

Old branches and unused exports rot in place. Every grep returns ghosts.

No Architecture

Nobody, not even the AI you pay for, truly understands how the system fits together.

Entropy Wins

Each PR adds a little coupling. Compounded over a year, the system fights every change.

Atlas is the shared map your team and your AI have been missing.

One Graph, Two Audiences

Built for humans. Designed for AI.

Same underlying knowledge graph. Humans navigate it through a dashboard; agents query it through MCP. Both finally agree on what the codebase actually is.

Dashboardhumans
86health
Components85%
Coupling52%
Dead code18%
142 nodes8 issues3 cycles
MCPagents
agent ▸atlas_impact("useAuthSession")
6 files · depth 2 · 2 high-risk
agent ▸atlas_examine_node("UserCard")
responsibility · deps · blast-radius
agent ▸atlas_audit()
health 86 · 3 risks · file:line
agent ▸

Built For Humans

Visualize, explore, navigate.

  • Interactive dependency graph — click any node to inspect it
  • Findings grouped by type & severity, one click to drill in
  • Security scan: leaked keys, secrets & exposed .env files
  • Timeline of complexity, coupling and architectural drift
apps/webhealth 86
142
nodes
8
issues
3
cycles
Components 48%Hooks 22%Services 18%Stores 12%

Built For AI

Structured context your agent can actually use.

  • Structured AIContext per symbol — no raw source spam
  • Nine AI tools your agent can call via MCP
  • AI reasoning, deterministic fallback offline
  • Health-score audits with file:line citations
{
  "node": "UserCard",
  "type": "Component",
  "responsibility": "Renders one user's avatar + meta",
  "usedBy": ["Dashboard", "Profile", "TeamList"],
  "dependsOn": ["Avatar", "useUser", "UserStore"],
  "blastRadius": { "direct": 3, "transitive": 14 },
  "complexity": 5,
  "loc": 42
}
Drift & Security

Every codebase decays. Atlas catches it.

Deterministic detectors run on every snapshot — architectural drift and leaked secrets alike. No LLM lottery, no false confidence. You finally have a metric.

Leaked Secrets

API keys, private keys, DB passwords and exposed .env files caught in your source — with a redacted proof and a fix.

0secrets leaked

Dead Code

Unreachable exports, orphan files, unused hooks — found by graph reachability, not regex.

24dead files

Duplicate Logic

Twin components and copy-paste services flagged before they become a third copy.

8duplicates

Circular Dependencies

Tarjan SCC analysis surfaces the cycles that quietly break tree-shaking and tests.

3cycles

God Components

Outsized fan-in and complexity scores pinpoint the modules everything depends on.

5god components

Over-Coupling

Symbols with too many neighbours — the refactors that hurt the most when ignored.

12high coupling

Plus an AI-powered health score 0–100 with ranked risks and file:line citations — generated on demand, cached for free reads.

How Atlas Works

From source to graph to AI —
in four steps.

One pipeline, deterministic and inspectable end to end. You can read every step — no black box, no LLM lottery deciding what's true.

Connect

GitHub · Git URL · .zip

Point Atlas at a repository. It clones and parses on the backend — resolving path aliases across TypeScript, JavaScript, Python and HTML/CSS.

Graph

nodes · edges · complexity

A typed knowledge graph with fan-in/out and cycle analysis. Detectors and a security scan run automatically on every node.

Plug in

npx -y @atlas/mcp

Wire the MCP server into Claude Code, Cursor or Windsurf. Nine tools over stdio — your assistant queries the live architecture.

Understand

audit · impact · examine

Humans browse the graph; agents query it. The AI examiner escalates only with bounded, structured context — never raw source.

Blast-Radius

Know what breaks
before you change it.

Every refactor is a bet. Atlas turns it into a known quantity: traverse the graph from any symbol and see every direct caller, every transitive consumer, ranked by risk. Your AI uses the same data — so it stops shipping rename-and-pray patches.

  • Direct + transitive dependents in one call
  • Risk-ranked file list before you touch the symbol
  • Same answer for humans (dashboard) and agents (MCP)
  • Stops AI from confidently breaking a downstream module
Try Impact Analysis

atlas_impact

live
// symbol
useAuthSession() → 6 files, depth 2
apps/web/app/(app)/layout.tsxhigh
apps/web/app/(app)/projects/page.tsxhigh
apps/web/components/Topbar.tsxmed
apps/web/components/Sidebar.tsxmed
apps/web/lib/api.tsmed
apps/web/store/useUI.tslow
Suggested: add a backward- compatible overload before renaming — 2 high-risk callers detected.
Timeline

Time-travel your
architecture.

Snapshots compound into a story. Watch the graph grow, see when a cycle appeared, prove to the team the refactor actually worked.

  • Automatic snapshots on every scan
  • Track components, dependencies, complexity over time
  • Spot the week entropy spiked
  • Diff any two points — what was added, what decayed
Explore Timeline

Architecture Evolution

ComponentsDependenciesComplexity Score
Apr 20Apr 27May 4May 11May 18
Integrations

Lives where you already build.

Anywhere your agent speaks MCP, Atlas is one config block away. Sign in to the dashboard with Google or GitHub OAuth — projects live in Firestore, scoped to your workspace.

Claude Code
Cursor
Windsurf
GitHub Copilot
VS Code
JetBrains
GitHub
GitLab
Bitbucket
Pricing

Start free. Grow when it pays off.

One repo, audited on every push, free forever. Upgrade when your team and your AI need the whole portfolio.

Free

Try Atlas on one repo.

$0/mo
  • 1 project (your first — keep it)
  • Auto-audit on GitHub push + email
  • Up to 5 audits / month
  • 3 AI node examinations / month
  • Architecture graph + security scan
Most popular

Pro

For developers shipping daily.

$49$29/mo41% launch
  • Up to 25 projects
  • 300 audits / month
  • 500 AI node examinations / month
  • Live audits on every push + email
  • Timeline, snapshots & MCP server
  • Priority support

Team

For teams that own a large codebase.

$149$99/mo34% launch
  • Unlimited projects
  • Unlimited audits & AI examinations
  • Everything in Pro
  • Shared workspace
  • SSO & audit logs
  • Dedicated support

Prices in USD. Cancel anytime.

Ready when you are

Stop feeding AI snippets.
Hand it the whole architecture.

Connect a repo, turn on live audits, plug the graph into your editor — and let your team and your AI finally work from the same map. Free to start, built for the codebase you'll have in a year.

Private by default No Credit Card Works Offline (AI optional) Setup in 60 seconds