AI Autonomous Debugging & Diagnostic Layer
Diagnose the root cause,
not just the surface symptom.
AI agents make file changes, upgrade packages, and run terminal commands autonomously. When tests fail, Debug Vitals traces the entire causal story and pinpoints the exact culprit in plain English.
Automated Causal Chain Tracing
1. AI Agent Action
Code edit / install
2. Env Shift
Node/Python version
3. Dependency Shift
Package update
4. Test Failure
Failed assertion
5. Diagnosis
Root Cause Output
Explore Live Demo Investigations
Select a scenario below to see how Debug Vitals diagnoses complex multi-step failures instantly.
Node 20/22 CI runtime mismatch
17 CI failures traced to a Node version mismatch introduced by agent.
Root cause: CI is running Node 20, but the agent updated package.json to require Node 2...
17 Test Failures124 total tests executed
→
requests 2.28 → 2.31 breaking change
5 API tests broken after agent upgraded requests library.
Root cause: requests 2.31.0 removed PreparedRequest from the top-level namespace, break...
5 Test Failures40 total tests executed
→
Auth middleware removed by refactor
8 security tests failed after agent removed token validation.
Root cause: Agent removed token validation in auth middleware during a performance refa...
8 Test Failures25 total tests executed
→
Simple 5-Step Guided Workflow
How Debug Vitals guides developers from initial failure detection to automated fix verification.
STEP 01
Project Checkup
Scans project runtime, installed packages, and active failures for any mismatches.
STEP 02
Root Cause Diagnosis
Calculates exact cause probabilities and presents evidence in plain English.
STEP 03
Action Timeline
Provides an easy-to-read chronological log of every file edit, terminal run, and test.
STEP 04
Sandbox Verification
Reruns your code in an isolated Docker container to verify the exact fix hypothesis.
STEP 05
Regression Guard
Auto-generates a targeted test to permanently lock in the fix and prevent future bugs.