Blog
Writing about agentic engineering, AI integration, and the future of software development.
This Week in AI: Agents Grow Up
Three stories from May 4-11, 2026 — White House pre-launch model testing, Anthropic's ten finance agents, and IBM's AI Operating Model — all point at the same shift: agents are moving from demo to deployed.
How to Create Claude Code Skills — Best Practices and Patterns
A practical guide to building reusable Claude Code skills that actually work. Covers skill anatomy, trigger design, workflow automation, and the patterns that separate good skills from great ones.
The AI Model Wars of 2026: Claude Mythos 5, GPT-5.4, and Gemma 4
Anthropic, OpenAI, Google, and Meta are all dropping flagship models in the same month. Here's what each brings to the table and why this matters for developers.
Agentic AI Goes Mainstream: From Chatbots to Autonomous Teammates
2026 is the year AI agents moved from demos to production. Fortune 500 companies are deploying them, MCP hit 97M installs, and the enterprise market is at $7.5B.
The $242 Billion Quarter: AI Investment Explodes in Q1 2026
Venture capital poured $242 billion into AI in a single quarter — 80% of all global funding. OpenAI is eyeing an IPO, Anthropic is at $19B revenue, and the numbers are staggering.
100x More Efficient: The AI Energy Breakthrough That Changes Everything
Researchers combined neural networks with symbolic reasoning to slash AI energy consumption by 100x while improving accuracy. Plus Google's TurboQuant is solving the memory problem.
AI Is No Longer Optional: How 2026 Made Autonomous Intelligence Essential
AI has shifted from experimental technology to essential infrastructure. Here's how the industry got here, what it means for businesses, and why the skills gap is the real bottleneck.
What Is Agentic Engineering?
Exploring the emerging field of agentic engineering — building AI systems that can reason, plan, and act autonomously.
Building Production AI Agents: Lessons Learned
Practical lessons from building and deploying AI agents in production environments — what works, what doesn't, and what I wish I knew earlier.