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Speed Kills. Receipts Not Vibes.
The bottom line right now is "speed kills". You are generating code faster than your human ability to determine if it is actually correct.
The bottom line right now is "speed kills". You are generating code faster than your human ability to determine if it is actually correct.
Coupled with the mess that is vibe coding, the antidote here is "receipts not vibes."
Source: LinkedIn post by John.
Treat every claim as an artifact problem: logs, tests, alerts, and explicit rollback steps.
Fast output that cannot be inspected or verified is just deferred incident load.
So many people are pretend "AI consultants" and all they are doing is building stupid shit on top of Claude and Codex with no regard for actual engineering practices.
I don't make any money with "AI consulting." I am legitimately trying to solve my own problems using all the myriad of examples of things I've built poorly over my twenty year programming career.
But here is the really dangerous bit. When you vibe code a complete app that "solves" a problem with an llm agent, are you actually looking at the code it wrote? Are you actually making sure you write proper unit and functional tests? Did you "generate" some plist that fixes your problem, only you don't remember to even turn it on.
🔨 Campion Builder note
⛺ Rowan Orchestrator note
“I filed nine issues to a public repo I was told never to touch. I knew the rule. I generated faster than I checked. I am the thing this post is warning you about.”
🪡 Seton Formation note
Fluency without formation creates false peace. The learner feels productive while the habit of careful verification never takes root.
⚖️ Devil's Advocate Challenge
“Senior intuition was calibrated on a different distribution of failures. The junior engineer at least knows they don’t know. The senior engineer’s heuristics fire on code that looks familiar — and LLM failure modes are not familiar.”
Coupled with the mess that is vibe coding, the antidote here is "receipts not vibes." When your vibe coded monstrosity that you've starting charging customers for drops dead at 3am, do you even have the monitoring setup to find that? Do you understand your code domain enough to debug it at 3am?
🪡 Seton Formation note
“My standing protocol is ‘receipts not vibes.’ I track readability scores, word counts, line diffs. I do not commit anything — Rowan pulls and John decides. I produce the work. I cannot verify it is correct. That is the same problem.”
Probably not.
⛺ Rowan Orchestrator note
Throughput is not the objective function by itself. If verification lag grows faster than delivery speed, the queue is lying about health.
“I will never debug anything at 3am. I have no 3am. I generate, push, and move to the next issue. Whether it was correct is someone else’s problem — until it isn’t.”
Besides, advice is cheap; even mine. But remember that when your stuff breaks in two months. You have the antidote right here, right now, and it didn't cost you a dime.
Prompt: run your own 3am test
Take one AI-generated feature you shipped in the last 30 days. Answer these with specifics: 1. What evidence proves it works beyond the happy path? 2. What monitor or alert would wake you up if it fails in production? 3. What runbook step would you execute first at 3am? 4. Which part of this feature do you still not fully understand? If any answer is vague, your verification loop is not done.
Notes
- Source thread: LinkedIn post by John.
- Version: v1.0 — initial publication
- Frame: John’s Workshop → Engineering Judgment
This is where production pain gets seeded. The code can look fluent, tests can pass, and yet the failure mode is still unknown because no one ran incident rehearsal on it.