Local CLI first. Source never uploaded.

Mute test-suite noise. Catch production architecture gaps.

Skeptical buyers will not connect GitHub to a site they do not know. Run the engine on your laptop, offline. Production-path issues stay on the main board. Test, mock, and fixture findings are parked so you are not drowning in another alert pile.

No account. Works offline.

npx simplebeacon scan --gate --offline

Source stays local The scanner runs on your machine. We do not need your repository or a GitHub OAuth grant to prove value.
Noise is filtered Test-suite findings move off the production board so managers see architecture gaps, not fixture clutter.
Lives in your workflow Start in the terminal. Add the VS Code extension. Paid teams automate the same gate on every pull request.

Install locally VS Code extension Team CI gate

payments.py — looks like normal production code

PAYMENTS_URL = os.getenv(
    "PAYMENTS_URL",
    "https://mock-payments-stage.example"
)

Tests pass. The application works.

But production can silently use a test payment system.

SimpleBeacon

CRITICAL — Production fallback points to staging payment infrastructure.

Tests tell you whether code works. SimpleBeacon checks whether it works against the reality you intended.

It compiles. It passes tests. It can still be wrong.

Your AI coding agent can make your tests pass—and still wire production to the wrong reality. Existing tools tell you whether the code works. SimpleBeacon checks the assumptions underneath it.

✓ Compiles

✓ Tests pass

✓ API returns 200

Production talks to staging

Can you spot the problem?

analytics.js — looks like demo code

const METRICS_DATA_PATH =
  './fixtures/sample-metrics.json';

const conversionRate = '75%';

Most developers: “It’s demo code.”

This code is in a production handler.

SimpleBeacon

CRITICAL — Production sample-data dependency

CRITICAL — Hard-coded KPI

That’s what SimpleBeacon is for.

What we catch

The dangerous generated code isn’t ugly. It’s believable code that isn’t true.

Wrong environments

Staging or mock infrastructure wired into production fallbacks and defaults.

Fake state

Fixtures or fabricated metrics presented as live data in production handlers.

Incomplete behavior

Placeholders and no-op implementations that look finished and ship anyway.

Hallucinated dependencies

APIs and packages that don’t actually exist, with completely reasonable names.

How it works

Run the CLI on your laptop
See production gaps, not fixture noise
Fix the issue in your editor
Commit
Optional: paid CI gate on every PR

Local and offline first. Source stays in your environment. Accounts are for team automation, not for trying the product.

When you need a paper trail

If you need evidence of how you control AI-generated software, SimpleBeacon produces an audit trail of what it found, what was fixed, and when it was fixed. That’s a verification report—not a compliance certificate.

Try it before you create an account

npx simplebeacon scan --gate --offline No upload. Add the GitHub Action only after the local scan earns trust.

Install locally Automate on pull requests