Wix Studio Two exports your site as React for Claude Code or Cursor, and Readwise opens your library to agents through MCP. Read the small print, though: both open the edges to your agent and keep the core. The lock-in hasn’t gone, it moved, and CTOs should ask what still calls home.
Ben Congdon splits software into interpolative (agents nail it from a few sentences) and novel (fighting uphill). Building Calendrz showed me exactly where that line runs, and why the bits you have to explain are the ones worth building.
A founder rebuilt his whole platform alone with Claude Code, and his tests stayed green for weeks around a pigeon that never existed. When the agent writes the code and the tests, green proves less than you think: here’s what I’d check on Monday morning.
Anthropic now tells companies what their Claude spend bought, and pools the budgets. Useful, but tokens are the new lines of code: measure outcomes, read the friction list, and remember who is marking the report card.
Cisco has given one engineer unlimited AI tokens to rewrite 98% of its legacy code. I did a (much smaller) version of that on the Calendrz codebase this year, and the tokens were the easy part: the tests and the deleting came first.
Sentry’s David Cramer argues prompts are rarely the way to make AI agents behave. I agree: the rules that matter belong in code, as I learnt building Calendrz.
A malicious AGENTS.md file in a Downloads folder tricked coding agents into installing a rogue package. Why instruction files are code now, what I’d ask engineering teams to change this week, and how Calendrz treats the emails its own agent reads.
Engineering leaders say AI agents write code much faster, yet their release cycles are no faster than before. Typing was never the bottleneck: here’s where the time really goes, and what I’d change about review and verification.
While LinkedIn fights AI slop, an AI agent has quietly opened 42 merged fix PRs at Calendrz by reading production logs at 3 a.m. Here’s how it avoids producing slop of its own.
There’s a tension at the heart of building products with AI that nobody talks about enough: AI is fundamentally about sharing and connecting data, but some of the best products are built on the principle of not sharing data. Calendrz, the calendar mirroring tool I’ve been building, is one of those products. Its core promise […]
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