Ronacher urges patience over AI speed

This is a sharp counterweight to the “ship faster” gospel. Speed is easy to demo; durability, handoffs, and graceful exits are the parts of software that actually compound.

• –Compliance and review are guardrails, not waste, because they prove you can do the right thing repeatedly over time.
• –Open source projects need succession plans and community depth, not just a burst of commits from one enthusiastic weekend.
• –AI “time savings” often get reinvested into more output, so teams should measure trust, quality, and burnout, not just throughput.
• –Long-lived software wins on institutional memory and relationships, which no agent can conjure on demand.
• –The essay’s real warning is cultural: if everything is optimized for speed, nothing is optimized to last.