Simple thoughts on building, designing, and shipping
A race condition between Auto Memory and context compaction in Claude Code v2.1.59–v2.1.61 broke prompt caching and corrupted sessions. Anthropic reset all weekly limits as compensation.
Agentation gives AI agents pixel-perfect visual feedback via CSS selectors. Readout replays Claude Code sessions like video. Together they eliminate the two biggest friction points in AI-assisted frontend development.
After building a product with agents overnight, I finally get why Stripe Minions and Ramp Inspect both chose cloud-isolated environments over running everything locally.
An open-source context engineering skillset just crossed 10k GitHub stars. After applying it to my own agent stack, I finally understand why agents fail.
I couldn't sleep after a conversation about shipping more work publicly, so I built free-router at 3am. It pings free AI models in real-time and wires them into your coding tools with one keystroke.
When agents push 3,000 commits a day, humans can't review them all. Here's how to build a machine-verified pipeline that catches what people can't.
When an agent repeats the same failing API call, code review won't help. Traces are the new source code for debugging AI agents.
New benchmark data shows AGENTS.md and CLAUDE.md context files actually hurt coding agent performance. Sometimes laziness is the best engineering decision.
Citrini Research's 2028 macro scenario makes a chilling case: the more AI succeeds, the worse the economy gets. An analysis of Ghost GDP, the Intelligence Displacement Spiral, and why optimism itself may be the risk.
Three companies updated their coding agents at the same time. The directions overlap. The real battleground isn't models; it's how fast they absorb developer workflows.
Every connection matters to me.
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