🚀 Atomiq TestDroid — QA Meets Agentic AI 🤖

Excited to share a glimpse of the Atomiq TestDroid architecture and UI we’ve been building.

🔹 What is it?

Atomiq TestDroid analyzes your GitHub repo and generates Java unit tests or a full BDD framework using CrewAI-powered agents.

🔹 How does it work?

The architecture is designed around 4 layers:

1️⃣ Agentic Core – Specialized AI agents (Code Cartographer, Unit Test Writer, BDD Author, Planner) analyze the repo, map risks, and auto-generate high-value test cases.

2️⃣ Test Harness Layer – Spins up embedded mock REST services, H2 databases, Mongo containers, EMS/Kafka stubs for realistic component-level validation.

3️⃣ Generation & Customization – Developers can input prompts, prioritize modules, upload requirement docs, and choose between unit test suites or BDD frameworks.

4️⃣ Services Layer (FastAPI) – All agent requests, repo analysis tasks, and test generation pipelines are orchestrated through FastAPI microservices, making the system lightweight, modular, and cloud-ready.

🔹 The UI (Angular)

As simple as pasting your GitHub URL, choosing your target (Unit tests or BDD), and clicking Generate. The backend agents take care of the rest.

✨ Why it matters

With Atomiq TestDroid, QA shifts from being reactive to proactively intelligent—agents decide what to test, how to test, and why it matters.

👉 This is a step toward making test automation self-adaptive, risk-driven, and developer-friendly.

🔗 Repo reference: https://lnkd.in/eDGz5_KE