🧩 qAPIbara

Version Smarter. Debug Faster.

Inspiration

APIs evolve fast—but debugging breaking changes, regressions, or inconsistencies between versions is slow, repetitive, and often manual. QA engineers spend hours testing the same endpoints, comparing JSONs, and writing endless test cases that could be automated.

We built qAPIbara to transform API regression testing into an intelligent, explainable, and predictive process—bridging the gap between development speed and testing reliability.

Who is affected:

QA engineers managing large microservice systems
DevOps teams deploying frequent API updates
Backend developers debugging regressions
Enterprises maintaining multiple API versions

Why it matters:

When APIs break, entire workflows fail—from insurance claims to banking transactions. Detecting and understanding why an API failed shouldn't take hours. qaPIbara makes regression detection, diagnosis, and recovery intelligent, fast, and explainable.

What it does

qAPIbara is an AI-powered regression analysis platform that automatically compares, tests, and explains API version differences.

It enables users to:

🔍 Compare API Versions — Detect differences between v1 and v2 responses instantly
🧠 Generate & Run Tests Automatically — Let Nemotron design test cases and execute them in bulk
💬 Explain Regressions with Gemini AI — Receive human-readable explanations and fix suggestions
🌐 Visualize Trends & Health — Heatmaps, endpoint maps, and dashboards reveal overall service health

Key Flows:

Input two API versions → Run automated diff → Get visual comparison & AI-driven summary
Generate, run, and export test cases automatically
View and interpret service health using intelligent visualization

Main Features

🧩 Version Comparison Engine — Detects key structural and semantic changes between API versions
🤖 Nemotron Workflow Automation — Plans and executes version comparison workflows end-to-end
🧠 Gemini Regression Insights — Explains issues in plain English and suggests fixes
📊 Regression Heatmap — Visual view of breaking changes across endpoints
📈 Service Health Scoring — Quantifies the stability of new releases
💬 AI Chat Interface — Natural language debugging and recommendations
🔐 Auth0 Security — Role-based access, audit logging, and consent-driven workflow

How we built it

Frontend:

React with a modern dark-neon UI
Interactive JSON diff viewer and comparison dashboard
Framer Motion for smooth transitions and visual feedback

Backend:

FastAPI orchestrating version comparisons
Integration with Nemotron for workflow planning
Gemini API for regression explanations
Firestore for data storage
Auth0 for secure multi-user access

Challenges we ran into

Accurate Diffing: Designing a comparison engine that identifies meaningful API differences, not noise (like timestamps or IDs).
Real-time AI Integration: Balancing response time with detailed, contextual explanations from Gemini.
Workflow Automation: Letting Nemotron generate test cases that reflect realistic edge scenarios.
Data Visualization: Building intuitive visual tools (like regression heatmaps) that QA engineers can act on instantly.