Agentic AI delivery is a software delivery model where autonomous agents execute development tasks inside a governed software development lifecycle (SDLC), operating within architectural guardrails, dependency-ordered backlogs, and test-gated workflows. In Part 1 and Part 2 of this series, we introduced agentic AI delivery as an enterprise software delivery model and explored how governed, autonomous execution can operate within a …
See how Keyhole implemented agentic AI development using an autonomous delivery loop to build a full-stack application in 19 test-gated iterations. This real reference implementation demonstrates how autonomous agents can operate inside a governed enterprise SDLC with architectural guardrails, commit-level traceability, and test-validated delivery.
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 documentationโwith minimal developer input. Includes real-world code samples, implementation insights, and a candid look at what worked, what didnโt, and where human oversight is still essential.