The Agent Development Lifecycle (ADLC) is the structured lifecycle built into X360 AI Galaxy that takes AI QA agents from learning your requirements to generating, running, healing, and reporting on tests — with human review gates at each stage so teams can adopt AI agents with confidence.
FAQ
What does ADLC stand for?
ADLC stands for Agent Development Lifecycle. In X360 AI Galaxy, it's the structured lifecycle AI QA agents follow from learning requirements to generating, running, healing, and reporting on tests, with human review at each stage.
Is ADLC a separate product?
No. ADLC is built into X360 AI Galaxy, alongside Artificial Test Intelligence (ATI) and built-in Test Case Management.
How is ADLC different from the STLC?
The Software Testing Lifecycle describes how a team plans and runs testing. The Agent Development Lifecycle describes how AI agents take part in that testing and where people review their work. ADLC fits into your existing STLC.
What are the stages of ADLC?
X360 AI Galaxy's ADLC has six stages: Learn, Plan, Generate, Execute, Heal, and Report & improve.
Do AI agents change tests without approval?
No. Proposed heals and generated test cases are shown to your team for review. You decide what's accepted.
Which testing types does ADLC cover?
X360 AI Galaxy is focused on web testing — including Visual Testing and Accessibility testing via X360 AI Comet on Playwright — and API testing via X360 AI Orbit.
Does ADLC work with Jira?
Yes. Requirements come in from Jira, and test results link back to the stories they cover.
How do I try ADLC?
A free trial is available, or you can book a demo and we'll walk a story from your backlog through the full lifecycle.