Treat agent instruction files like production code
Agent instruction files now influence PR quality, token spend, and safety. Review them like code, with scope, ownership, tests, and expiry.
Agents and developer tooling
AI Systems
A builder's view of AI systems: how agents are evaluated, constrained, observed, and integrated into real software workflows.
12 articles
A governance checklist for remote MCP servers
Remote MCP servers make agent integrations portable, but the production work is in token boundaries, tool approvals, logs, and change control.
GPT-5.6 Is a Family, Not a Model: A Field Guide to Sol, Terra, Luna, Max, and Ultra
OpenAI's newest release is a three-model family with new reasoning and agent modes. Here is what Sol, Terra, Luna, max, and ultra actually mean—and how I would choose among them.
The Agent Supply Chain: 7 Layers Founders Are Selling to AI Agents
The Spring 2026 YC batch was its most agent-heavy ever, and much of it was not building agents at all. It was building the identity, payments, and silicon that agents buy. A field guide to the seven layers.
7 Rules for Rolling Out CLI Coding Agents After Microsoft's Study
A July 2026 Microsoft study puts real numbers behind CLI coding agents. The practical lesson is not just to buy seats, but to design the rollout like an engineering system.
A field guide to the agent economy: the stack being built to sell to AI agents
AI agents are becoming customers, and a whole startup stack is forming around them. Here is a layer-by-layer map of the payments, identity, memory, and compute plays worth watching.
A Q&A on Google Vids, Veo 3.1, and everyday AI video
Google is pushing AI video away from novelty demos and into ordinary presentation work. I think the practical question is no longer whether the clips are impressive, but where they are useful enough to ship.
An anatomy of Vercel Sandbox for agentic code execution
Vercel Sandbox is becoming one of the more practical primitives for running AI-generated code without handing it your production machine. Here is the part-by-part model I would use before wiring it into a real product.
7 myths about AI agents after the Codex adoption data
A practical myth-vs-reality read on what the June 2026 Codex adoption paper says about agents, developer workflows, and the gap between demos and durable habits.
MAI-Code-1-Flash vs Claude Haiku 4.5: Microsoft's first OpenAI-free coding model, head to head
Microsoft shipped MAI-Code-1-Flash into GitHub Copilot at Build 2026, its first coding model trained without OpenAI tech. I put its claims against Claude Haiku 4.5, round by round.
Agent infrastructure is the startup bet worth making in 2026
The flashy agent products get the headlines, but the durable startup opportunity in 2026 is the plumbing underneath: identity, payments, memory, and sandboxes.
A small, honest eval harness beats vibes
Most teams ship LLM features on gut feel. A tiny, boring evaluation script catches regressions before your users do.
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