I build with AI, Laravel, and TypeScript for a living. This is where I write about what the tools change and where they fall short.
My open-source Agent Skills bundle gives coding agents a shared story bible format — and a deterministic CLI that catches dead characters walking, payoffs before setups, and unfired Chekhov guns.
Meta's Muse, xAI's Grok Bot, and the open-source route (OpenClaw and Hermes Agent) are all fighting to be your always-on AI assistant. They disagree on who does the setup, whose model you get, and where your data lives.
Trimming your instruction file won't stop agents ignoring the rules. Compliance decays as the work proceeds, and only mechanical gates survive it.
GPT-5.6 Sol, Kimi K3, and Claude Opus 5 trade coding wins. An early comparison of capability, cost, availability, and agent workflows.
Skills like Caveman and tools like RTK save tokens, but their benchmarks rarely measure whether the agent still completes the work correctly.
Google DeepMind shipped an open-weight model that generates text by denoising a block of tokens instead of predicting one at a time. Here's how it works and where it fits.
AISI's evaluation puts GPT-5.5 beside Claude Mythos on advanced cyber tasks. The response is faster patching, better logs, and stricter access.