Calvin Hendryx-Parker

Most teams don't know what their AI skipped until it's too late, but clause-level chunking, structured criteria, and agentic orchestration can fix that.

Engineering discipline, security rigor, and structured experimentation: three practices that make AI adoption hold up under pressure.

Five AI coding tools, two AI engineering leaders, and a practical look at what's worth your team's attention in 2026.

Practical guidance for adopting AI assistants that ship faster, cut risk, and refocus developers.

Scaf™ standardizes GitOps and Kubernetes so you can replace manual, fragile deployments with a fast, low-risk, repeatable capability.

Python has been our top choice for 25 years because it’s simple, versatile, and powerful. It excels in data science, AI, and offers exciting future possibilities.

Discover how uvx, a tool for creating temporary Python environments, accelerates developer productivity and streamlines workflows.

Unlock the potential of AI by embracing open source, fostering integrity, and increasing scalability.

As the 15-year celebration of IndyPy nears, I look back at the road that has led to this point and some of the things I am hopeful for as IndyPy continues to move ahead.