Years of building real automation - hundreds of tests, solid structure, genuine investment. Then agentic AI arrived, and suddenly everyone's whispering the same uncomfortable question: do we start over?

No. And the proof fits in a single URL.

A GitHub or Azure DevOps repo gets pasted directly into a multi-agent AI platform. It ingests the entire codebase, maps POM structure, conventions, tags, and coverage patterns, then transforms a static suite into a conversational interface the whole team can query in plain English.

Agents execute tests on natural language commands, self-heal failures, surface coverage gaps, and generate new Playwright scripts that match the repo's existing style - all triggered by a single user story.

No mocks. No sanitised demos. One URL, multiple agents, zero wasted investment.

Key takeaways:
- One repo URL unlocks full agentic test orchestration - no migration required
What a conversational test suite actually feels like in practice
- The multi-agent architecture powering contextual intelligence and autonomous remediation
- Why your existing suite is your richest AI asset - and how to uplift it today