# product-management

Andrew Ng's AI engineering skills map lists four abilities, and the fourth deserves the closest read: he argues coding agents are getting rapidly better at delivering to spec, so engineers' work is shifting toward deciding what goes into the spec. gu-log pushes further: once implementation gets cheap, what does a wrong spec cost, which decisions can't be undone, and does your company's process even leave engineers room to do this?

Product Manager Paweł Huryn ran a 48-hour Claude Dispatch experiment from his phone while supervising his kids at a bounce house. Twenty-five minutes of instructions produced over three hours of parallel AI output, turning fragmented downtime into productive agent orchestration.

Paweł Huryn proposes the Vibe Engineering framework: instead of accepting raw AI output, use Context Engineering, Intent Engineering, and Sub-agent orchestration to upgrade AI coding from 'lucky demos' to 'reliable products'.

Paweł Huryn responds to 'Anthropic's team doesn't write code anymore': the headline is right, but the framing is wrong. The bottleneck was never 'spin up more agents' — it's how you design the knowledge architecture that makes them actually effective.

In just 6 weeks, Claude Code saw rapid adoption at Ramp: 80% of PMs, 70% of Compliance, and 55% of Finance. Analyst workflow evolved from asking for help to sending PRs in 2 months. This future is now.