News from March 2026

The video benchmarks nine AI code review bots on a Convex + React stack across realistic PR tests—covering indexing, auth, performance, schema design, and OCC—to reveal which tools catch real issues versus noisy false positives.

A quick walkthrough showing how to generate images with TanStack AI using OpenRouter, including the prompt, adapter setup, and rendering the returned images.

A hands-on first look at the Tiiny AI Pocket Lab—a portable 80GB-RAM device that runs large language and image models locally, showcasing setup, model store, agent integrations, image generation, coding with GLM 4.7 Flash, and real-world speed tests.

Overview of Claude Code’s updated Skill Creator, showing how to build, evaluate, optimize, and reliably trigger skills, capped with a live end-to-end skill build and report demo.

A concise walkthrough of seven phases—idea, research, prototype, PRD, implementation planning, execution, and QA—to reliably ship software with AI coding agents.

A practical guide to building a local AI PC that prioritizes GPU VRAM, with clear budget tiers, model quantization tips, and tooling choices like Ollama vs LM Studio.

Theo argues that many AI-coded dev tools like Cursor and Claude Code feel inconsistent and sloppy because they were built too early with weaker models, and he proposes strict code quality, aggressive refactoring, and even maintaining a prototype “slop” codebase alongside a clean production one to fix it.