Practical perspectives on artificial intelligence, agentic workflows, and AI tooling for software development. Reality checks, not hype.
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GitHub Copilot Agents: A Pragmatic GuideRecommended next read:
Effective Prompt Engineering
An opinionated, step-by-step guide to spinning up small language models on your own hardware with nothing more than C# and the .NET SDK.
A deep dive into the latest Boston Dynamics Atlas demo powered by reinforcement learning – covering its RL architecture, physics simulation, zero-shot sim-to-real transfer, human motion retargeting, and the massive scale (150M+ simulations) behind it. Includes parallels to generative AI and leadership takeaways on fostering innovation, simulation investment, AI-based control, and the future of work with robotics.
Effective Prompt Engineering - A closer look at AI services, Data security and Effective Prompt Engineering.
A more detailed look at integrating AI and ML capabilities within dotnet c-sharp applications and solutions, exploring libraries, frameworks, and practical applications.
What I learned from using AI image generation tools to create new illustrations for out-of-copyright books – the workflow, the limitations, and whether it's worth the effort.