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
As coding agents take on more engineering work, model reliability and pricing quietly become delivery risks. This post covers the operational gaps most teams haven't addressed yet.
The UK's NCSC says AI-generated software and vibe coding are inevitable, so security leaders should focus on guardrails and assurance now instead of pretending adoption can be stopped.
My humble take on NVIDIA's DLSS 5 announcement at GTC 2026, what neural rendering means for the games we love, why the backlash misses the point, and how a 37-year-old who still plays WoW feels about the future of visual fidelity.
Nvidia built NemoClaw to put guardrails around OpenClaw. Meta is firing people for installing it. Microsoft says don't run it on your workstation. Here's what engineering leaders need to know about the security reckoning unfolding around agentic AI.
A practical deep-dive into how LLMs actually work, what RAG and vector indexes bring to the table, and how MCP is changing the way AI systems integrate with the real world.