Evidence-backed, not AI guesswork

Give BugSnap-AI a product.
It acts like an autonomous QA team.

Point it at a staging URL and test credentials. BugSnap-AI explores the running app, builds a behavioral model, detects anomalies, independently reproduces candidate defects, and ships developer-ready bug reports — without a human driving each step.

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INPUT→AUTONOMOUS LOOP→OUTPUT

Discover

Maps the app, roles, and flows

Explore

Exercises real user workflows

Detect

Flags behavioral anomalies

Reproduce

Independently confirms the defect

Report

Ships evidence-backed findings

Not a chatbot. Not a test-case generator.

BugSnap closes the loop from anomaly to validated, reproducible defect.

Black-box, no source access

Works against the running application. No code, no instrumentation, no integration risk.

Independent reproduction

Candidate anomalies are re-run and confirmed before they ever reach a report. No noise.

Evidence, not confidence scores

Every finding ships with reproduction steps, screenshots, and traces — not a bare AI percentage.

Regression memory

Validated findings become permanent checks, tracked pass/fail on every future run.

Security & trust

Runs sandboxed. Access scoped. Nothing destructive by default.

Sandboxed execution

Every run executes in an isolated browser environment, per tenant.

Credential vault

Secrets are encrypted at rest and never displayed after entry.

No production access by default

Production environments are disabled unless explicitly enabled.

Policy engine

Destructive actions are blocked or require explicit approval.

Works with your existing workflow

Reports flow to the tools your team already uses.

Jira

Linear

GitHub Issues

Slack

CI/CD Webhook

See what BugSnap-AI finds in your app