Both get you working code with an AI. One nudges until it looks right. The other makes the model plan, test and check itself before it hands anything over.
Both took about the same time. Only one of them ever tried an input that was designed to fail.
Prompt, run it, looks wrong, tweak the prompt, run it, looks right. Ship.
“Plan the steps first. Write tests including empty input, a rare overtime case and a bad date. Run them, show me what failed, then fix it.”
Not speed against care. The real question is whether anything examined the work other than you looking at it.
The difference is not care or speed — it is whether anything checked the work other than you looking at it. Vibing verifies against the example you happened to run, which is always the example you already had in mind.
So the fix is not to be more diligent by hand. It is to ask for the thing that catches what you would not think of: a plan, named edge cases, tests that run, and what failed shown to you.
Tap an approach, then tap whether anything verified it. Then see what each one actually rested on.
Pick a situation. In every one, the code ran on the example and nobody tried the awkward case.
The timesheet script handles every case in the sample. The rare overtime rule is not in the sample.
Five questions. Nothing is scored.
Five terms, not two. Tap one.
If you prompt the AI, glance at the code, and move on without asking it to check or test anything, you are vibe coding. If you ask the AI to plan, test, or explain its checks, you are agentic coding.
Agentic coding takes more time up front because you ask for plans, tests, and checks. You save time later by catching mistakes early, so you avoid fixing problems after the code is in use.
You can start with vibe coding for quick ideas, then switch to agentic coding for anything that matters. The key is knowing when speed is worth the risk, and when checks are needed.
Vibe coding produces code that runs for your example, so it appears to work. Problems show up when you try new data, hand it over to a colleague, or use it in a real process. Checks catch what the eye misses.
You risk shipping code with hidden bugs. Errors can go unnoticed until they cause real problems—missed payments, wrong reports, or broken features. Adding tests helps you catch these before they matter.
| Aspect | Vibe coding | Agentic coding |
|---|---|---|
| How you guide | By feel | With steps and checks |
| Error catching | By eye | By tests and review |
| Speed | Faster | Slower but safer |
| Reliability | Riskier | More reliable |
Vibing is not carelessness. It is fine right up until somebody else depends on the result.
Copyright © Pawan Nayar · LLOS.ai · 2026 — Vibe coding vs Agentic coding: nudging by feel, versus making the model prove it works.Original pedagogy, voice, and design — all rights reserved.