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.
The traditional SDLC wasnโt designed for AI-accelerated delivery. When features ship in hours instead of weeks, detailed upfront documentation becomes the bottleneck in an AI-assisted software development lifecycle. As organizations accelerate delivery with AI, most software documentation strategies havenโt kept pace. Practices built for slower, predictable releases struggle with rapid iteration. Modern software delivery teams need a lighter approach that …
A sluggish ASP.NET page with 3,850 checkboxes was taking 38 seconds to load. By collaborating with Claude Code and shifting to client-side rendering, load times dropped to just 1.5 seconds โ a 25ร performance boost. Hereโs how AI-assisted refactoring transformed the page and the development process.
Artificial intelligence isnโt just changing how we write codeโitโs transforming how we think about creativity in development. In this post, I revisit the playful spirit of early programming through a series of AI-assisted experiments using ChatGPT, GitHub Copilot, and JavaScript Canvas on CodePen. Along the way, I uncover practical lessons for developers on using AI to accelerate learning, inspire exploration, and rekindle the joy of creative coding…