Matt Pocock
Matt Pocock is an educator and engineer, creator of Total TypeScript and AI Hero. Through AI Hero, he teaches developers to build reliable software with TypeScript and AI coding agents; he previously worked as a developer advocate at Vercel.
Agents Multiply Pull Requests Faster Than Teams Can Review Them
Pull requests are becoming a bottleneck as agents increase the flow of changes faster than teams can review them. In a talk at AI Engineer Paris 2026, Matt Pocock argues that the answer is not simply to generate code faster, but to make changes more reviewable: run deterministic checks, then agent review, before human judgment. Human reviewers can focus on risk and use recurring findings to improve the process behind future PRs.
Good Agent Skills Are Small, Auditable, and Behaviorally Specific
Matt Pocock argues that the bottleneck in agent skills has shifted from access to judgment: developers and teams can now download and share skills, but lack a reliable way to tell which ones work, how they should be invoked, and what makes them fail. His proposed answer is a four-part checklist — trigger, structure, steering, and pruning — for turning agent skills from loose markdown instructions into small, inspectable units of behavior.
AI Coding Makes Software-Engineering Fundamentals More Important
Matt Pocock, a TypeScript teacher now focused on AI engineering, argues that AI coding has made software-engineering fundamentals more important rather than less. In a conversation with Shawn Wang, Pocock says code generation works best when humans define the architecture, module boundaries and domain language that give agents a coherent system to change. The lesson he draws from Claude Code and other fast-moving tools is that tool-specific knowledge ages quickly, while engineering judgment remains the durable layer.