Agentic AI software development is an enterprise delivery model where autonomous agents execute backlog-driven implementation inside architectural guardrails, test-gated quality controls, and a fully traceable SDLC. Learn how agentic AI software development transforms the enterprise SDLC with autonomous execution, test-gated quality, full traceability, and architect-led governance.
This post walks through a hands-on experiment in agentic development using an AI-powered digital twin embedded in the IDE. See how a single, well-structured prompt enabled the agent to implement a real user story, generate behavioral tests, and prepare Git commit documentation—with minimal developer input. Includes real-world code samples, implementation insights, and a candid look at what worked, what didn’t, and where human oversight is still essential.