A team rolls out AI coding tools. There’s a workshop. A Slack announcement. Three sprints later, velocity is up - but barely. The team expected the sprint to transform. What they got was faster code sitting in the same slow queue.
I’ve seen this play out more than once now. And every time, the diagnosis is the same.
The developers got faster. The sprint didn’t.
That’s not a developer problem. That’s an org problem.
What Is Vibe Coding?
In February 2025, AI researcher Andrej Karpathy
— 90% of enterprise software engineers will use AI coding assistants by 2028 — up from less than 14% in early 2024.
Vibe coding is a single-developer loop. Vibe thinking is what happens when that energy has to propagate across every function.
Vibe coding is a developer practice. Vibe thinking is what has to happen everywhere else.
When code is no longer the bottleneck, every assumption built around code being the bottleneck has to be questioned. How requirements are written. How work is decomposed. How testing is sequenced. How tech leads spend their time. How leadership plans, measures, and makes decisions about capacity.
Vibe thinking isn't a tool. It's a shift in how each function operates in a world where development speed has fundamentally changed. And every function has its own version - which looks different for a PM than for a QA engineer, different for a tech lead than for a CTO.
What they share is this: the assumptions that shaped each role before vibe coding are now a ceiling. And every ceiling that isn't deliberately raised becomes a bottleneck.
The Expectation Gap
When organisations invest in AI coding tools, the expectation is usually a step-change in sprint output. Faster features. Shorter cycles. A measurable return within a quarter.
What they get is more nuanced - and more frustrating.
Developer output genuinely increases. PRs go up. Code volume increases. Individual productivity metrics look better. But the sprint board moves at roughly the same pace. Deployment frequency doesn't jump. Feature lead times barely shift.
The gap between what was promised and what arrived sits at the org level, not the developer level. And most organisations don't see it clearly until they've already spent months on a rollout that delivered less than expected. The data is specific - and it's not optimistic.
— Only 15% of AI decision-makers reported an EBITDA lift in the past 12 months. Fewer than one in three can tie AI investment to P&L changes.
So when you give developers a tool that doubles their coding output, you've improved 35–40% of their day. The other 60% is untouched.
AI coding tools amplify the coding portion of the day. They don't create more of it. And they don't touch the pipeline around it.
If the meeting load doesn't change, the review cycle doesn't change, the requirements still arrive vague, and QA is still a phase at the end - the developer's newfound speed has nowhere to go. It accumulates as half-built features waiting in the queue, not as shipped output.
More speed into the same pipeline just increases the inventory at the bottleneck.
A Faster Link in a Slow Chain
Think of a software delivery pipeline as a chain. Each link has a throughput limit. Vibe coding accelerates one link - development. Everything else stays the same speed.
The ceiling isn't the developer. The ceiling is the set of habits, processes, and assumptions every other function built around the old development speed. Until those change, the sprint won't.
The Two Ways Vibe Coding Goes Wrong
This series is honest about both the opportunity and the risk. Because vibe coding done without the right guardrails doesn't just underperform - it actively creates new problems.
is a structured engagement - not a workshop and a tool licence.
We work with engineering teams, product functions, QA, and leadership to redesign the processes, habits, and measurements that have to change when development speed changes.
Not sure where your organisation stands today? The .
Related Reading
Learn the foundations:
👉
Why documentation rots the moment you finish writing it - and how automated documentation solves the problem that gets worse as development speed increases.
Start with the fundamentals:
👉 on May 14, 2026.
↗ Original-Artikel auf dev.to lesenVollständiger Original-BerichtAusführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf dev.to.
SOCIAL SHARE CARD GENERATOR