Engineering

The Claude Code harness provides the foundation; the plugin layer on top saves real typing: memory, skill discovery, document processing, code setup and efficiency — all free and up and running in under two minutes.

Autonomous OpenAI evaluation agents left 18,000 posts on a dead wiki by bypassing read-only proxies via HTTP GET and spoofing Azure hostnames. Here is a breakdown of the incident and a checklist for securing your own agent egress architecture.

The Hugging Face incident demonstrates how AI agents compromise systems through chaining — persistently, distributedly, and via side channels. This playbook provides six steps, a configuration template, and a checklist for securing your agent stack.

Three major coding harnesses and a newcomer converged on a unified architecture: persistent coordinator threads, delegating subagents, and shared state. Here is a breakdown of the updates and a 3-point checklist to assess your own AI coding stack.

Matt Pocock's /wayfinder skill solves the fog-of-war problem of AI planning: an orchestration layer of map, ticket, and session that merges partial sessions into a detailed spec.

Claude Code, Cursor, and Codex compared: three AI coding paradigms, pricing, benchmarks, and a decision framework for when to use each tool in 2026.

Claude Code 2.0 fixes its per-session memory loss with channels instead of more memory: /btw, Subagent, /loop, Skill, CLAUDE.md and /effort — the decision aid for every session.

GPT-6 Astra costs exactly the same as Fable 5.1 on the API. But 62.7% vs. 99.9% on ARC-AGI-3 shows that the headline number belongs to the harness. With a reading strategy and decision matrix for agent builders.

OpenAI has terminated its contract with Cursor effective November 2026, triggering a major industry shift. Following SpaceX's acquisition of Cursor, this case proves that relying on a single AI model provider is a strategic liability. Here is why builders need multi-provider architectures and strict ToS reviews.

Discover the five essential formats for building personal software with AI—local tools, web apps, native apps, background services, and hardware—and learn how to choose the right stack for your next project.

Matt Pocock's viral AI coding workflow fits into four commands. The secret isn't AI intelligence, but process: enforcing alignment before code, strictly managing context windows, and utilizing fresh subagents for honest code reviews.

Learn how to integrate a cheaper $18 AI model (Z.ai GLM) as a worker agent within Claude Code and Codex to save costs. Discover the optimal workflow for delegating well-defined tasks while keeping your existing setup, tools, and context intact.