Insights on AI, agentic systems, and building production applications.
Most "AI agents" you read about are a chat loop with a system prompt. The ones that survive contact with real users are a Markdown bundle, a JSON wiring layer, and a skill library curated by hand from real failures. Here's what's actually inside one of mine.
Migrating an AI agent from Claude Opus to NVIDIA NIM Llama 3.3 70B is sold as a one-line config change. It is — but five silent failure modes follow, none of them showing up as errors. Here are the failures and the fixes.
Three open-source models dropped this month. Two are Chinese. Both beat GPT-5.4 on real-world coding benchmarks. Here's what actually matters.
How a game cheat download led to the compromise of one of the most important web infrastructure companies in the world. Full technical breakdown of the April 2026 breach.
Anthropic's RCT shows 17% lower comprehension. METR found devs 19% slower with AI. The research is in—and it's not what the productivity gurus told you.
PwC's 2026 AI Performance Study reveals 20% of companies are capturing 74% of all AI-driven economic value. The gap is about to become permanent.
Anthropic's Claude Mythos found thousands of critical vulnerabilities hiding in every major OS and browser. Some bugs were 27 years old. What this means for software security.
A technical deep dive into TurboQuant - Google's compression algorithm that achieved 6x memory reduction and sent Samsung and SK Hynix stocks tumbling.
A deep dive comparing Anthropic's Conway and OpenClaw - two competing visions for the future of autonomous AI agents. Which framework should you choose?
Follow me on LinkedIn for regular updates on AI and development.
Follow on LinkedIn