Claude Code, AI-native engineering, and building the future with LLMs.
AI
Coding agents quit long jobs even when you authorize everything and say keep going. That leaves the one decision that matters - when to stop - inside the model that keeps quitting. Real autonomy isn't a permission you grant; it's a control loop you build around the model. A working manual.
AI
Anthropic spent two months telling the world Mythos was too dangerous to release. Friday at 5:21 PM, the US government took it literally — and export-controlled Fable 5 and Mythos 5 out of reach for every non-American on earth. It smells coordinated. It's worse: a prophecy Anthropic wrote itself.
AI
Fable 5 is the first Mythos-class model the public can call — a tier above Opus, 1M context, double the price, and no zero-retention option. The catch: a safety classifier that automatically hands you back to Opus 4.8. Everything that actually matters.
AI
Anthropic's fourth Opus model in six months. The story isn't another point on SWE-bench, it's a model that flags its own broken code and a tool that lets one agent command hundreds. An honest scorecard from someone who runs agents all day.
AI
I handed a PR review to an agent. It silently created a follow-up ticket because the reviewer said "or". Welcome to prompt injection lite — and the same mechanism that, with a hostile reviewer, ends in your .env being curl'd to a stranger.
AI
xAI's terminal coding agent. Plan Mode by default, eight parallel subagents, Grok 4.3 Heavy under the hood, AGENTS.md / MCP / Skills compatible. The bets it makes, where to test them, and how to evaluate without religion.
AI
OpenAI shipped Codex inside the ChatGPT mobile app. Not a mobile IDE — a remote control surface for agent work. Pair once, supervise all your projects from the phone. The execution boundary is the product.
AI
Anthropic's May 12 launch matters less as a chatbot than as a connector-driven agent stack for legal work. Plugins, MCP connectors, Microsoft 365, Managed Agents — the architectural lineage matters more than the demo.
AI
After three Sinapt manifestos, the architecture has answers. Two layers locked: retrieval and contract surfaces. The PoC has not run. Dogfood has not run. Not a victory lap — but the architecture has stopped being hand-wavy where hand-wavy kills the product.
AI
Wall Street saw $285 billion vanish in a 24-hour SaaSpocalypse. The version on my desk has been quieter — JetBrains canceled today, finance app gone last quarter, half the subscription drawer empty in a year. The user-developer collapse is personal first.
AI
The model is not the bottleneck anymore. The plumbing is well-known. What separates teams shipping transformative AI from teams shipping generic slop is a stack of less-discussed components: context, dreaming, sycophancy mitigation, verification, memory. The operator's manual.
AI
Before MCP, every AI integration was its own pidgin — improvised, simplified, just enough to get one client talking to one tool. Five floors from the first shared word to a real protocol: what MCP is, when to use it, every server worth running, the failure modes teams hit.