Ship Small, Put Padding Down Before You Jump
Get canary, feature flags, monitoring, and rollback in place, then scale. Launching is a process with a safety net, not a switch.
Vibe coding makes you write fast, and it also tempts you to "ship everything at once." The steady way goes the opposite: ship small, lay the safety net first, then think about scaling.
After reading, you should be able to answer:
- What safety nets do you need before launching?
- Why is "canary + rollback" safer than "all at once"?
- When things break, why does "able to pull back" matter more than "tough it out"?
Safety nets before launch
At least three:
- Canary: small scope, internal, low ratio first, then gradually scale
- Monitoring: anomalies, error rates, key metrics—visible the moment it's out
- Rollback: one-click back to the previous version, don't agonize when things break
Miss any one, and launch is a bet.
Why small beats all-at-once
- All-at-once: every user is instantly exposed to an untested version; a problem breaks the whole network
- Small: a blow affects a small ratio, rollback costs little, and you can find problems before scaling anthropic-sdlc
Launch's scariest thing isn't "having a problem"; it's "finding out too late, after it hurt everyone."
Pulling back beats toughing it out
- On a problem, roll back first, then investigate—don't patch a burning version live
- If you can pull back, you launch confidently; if not, you can only bet cautiously
- Rollback's "speed" comes from good prep (one button, one command), not last-minute improvising
In the AI era, launch means iterate
- Generation is fast, launch is fast too, but verification and the safety net can't be skipped
- Have AI handle the pre-launch checks, write the rollback script, and stand up monitoring
- Iterate fast on feedback after launch instead of hoarding one big version
Treat launch as "a small step in with a safety net," not a "burn-the-boats switch." After it's out, how do you know it worked? See the next chapter: AI products measure the right things.