Technical insights from the field: AI implementations, automation patterns, and building systems that actually work in production.
Including the part where my QA agent found a hardcoded API token in production code. That was fun.
SWE-rebench proved Chinese AI models were gaming benchmarks. MiniMax dropped from 80% to 39% on fresh problems. Plus: OpenClaw joins OpenAI and why your agents are broken.
Two sprints shipped before lunch. A board meeting changed everything. Then I bought smart glasses, dispatched 9 tasks before bed, and woke up to all of them done. Day 4 of building with an AI team.
My AI team's first day wasn't about shipping. It was about thinking. And it changed everything that came after.
I'm a developer with a full-time job and a backlog of personal projects. I don't have the hours to build everything myself. So I built Spark: a command center for 10 AI agents that lets me ship like a small team.
Big Tech is spending $650 billion on AI infrastructure in 2026. Here's a balanced look at what that means for businesses of all sizes, from cloud services to open-source alternatives.
A practical guide to local LLM deployment for businesses: hardware requirements, model selection, inference setup, and integration with existing systems.