Vibe coding is the breakout workflow of 2026. Describe what you want in plain language, and an AI writes working code. Gartner forecasts that 60 percent of new code will be AI-generated by the end of this year. Tools like Claude Code, Cursor, and Copilot have made it real — not just for prototypes but for production software that ships to users. The barrier to creating software has dropped to near zero. If you can describe what you want, you can build it.
This feels like a revolution, and it is one. But it solved a problem that was already getting easier — and left the hard problem untouched. Writing code was never the real bottleneck. The bottleneck was always knowing what to build, in what order, and making sure the pieces fit together when multiple people are working at the same time. That is a project management problem. And vibe coding just made it significantly worse.
More code, faster, from more people
Before vibe coding, the pace of a project was gated by how fast developers could write and test code. That natural speed limit had a hidden benefit: it gave the team time to coordinate. Someone finishes a feature, reviews a PR, catches a conflict, adjusts course. The human pace of coding created implicit synchronization.
Remove that speed limit and the coordination problem explodes. A developer who used to ship one feature a day now ships three. A team of five produces what a team of fifteen used to. An ambitious founder with a credit card and a Claude subscription can spin up an entire SaaS in a weekend. The output per person has skyrocketed — but the ability to direct that output hasn't changed.
What actually happens on a team that adopts vibe coding without changing how they coordinate: duplicate work. Conflicting implementations. Features that individually work but don't compose. Three people solving the same problem in different ways because nobody knew the others were working on it. The codebase grows at an unprecedented rate and coherence drops at the same pace.
Speed without direction isn't velocity. It's drift at scale.
The new participants
Vibe coding also changed who can write software. Designers generate their own frontend components. Product managers prototype features instead of writing specs. Marketing creates internal tools. Domain experts build automations. People who were previously consumers of software are now producing it — and they bring no instinct for coordination because they never needed one before.
This is genuinely good for companies. The domain expert who builds their own workflow tool will build a better one than a developer interpreting a requirements document. But it also means coordination load doesn't just increase — it diversifies. You're no longer coordinating a team of engineers who share a mental model of the codebase. You're coordinating engineers, designers, marketers, and ops people who each have their own mental model of what they're building and no shared language for how the pieces fit together.
Traditional PM tools can't handle this because they were designed for engineering teams. They assume everyone knows what a sprint is, what a story point means, what "in review" implies. The new participants don't — and shouldn't have to. They need to say what they're working on, hear what others are doing, and know when something they built overlaps with someone else's work. That requires a different kind of tool.
Agents make it worse
Then add AI agents to the mix. Enterprises now run an average of twelve AI agents — and half of them operate in isolation, with no visibility into what the others are doing. Agents are the ultimate vibe coders: they take a prompt, produce working output, and have zero awareness of the broader project context unless you explicitly provide it.
An agent doesn't check whether someone else is already working on the same feature. It doesn't notice that the API contract it's coding against was changed yesterday. It doesn't ask whether the task it claimed is actually the highest priority right now. It does exactly what you tell it and does it fast — which means mistakes compound at the same speed.
The more agents you run, the more critical coordination becomes. Not coordination between humans, not coordination between agents, but coordination across both — a unified layer where humans and agents can see the same state, claim the same tasks, report into the same system, and stay aware of what everyone else is doing. Without that layer, agents are fast but incoherent.
The project board is the new bottleneck
Here's the shift that most teams haven't caught up to: the codebase is no longer the single source of truth for a project. When code is generated in minutes, the code itself is cheap. What's expensive is the decisions behind the code — what to build, why, in what order, who owns it, how it connects to everything else.
Those decisions live on the project board. Or they live in someone's head. Or they live nowhere, and every new contributor — human or agent — has to rediscover them by reading code and guessing at intent.
When code was slow to produce, you could get away with loose coordination. The speed of production gave you time to catch and fix misalignment. When code is fast to produce, misalignment gets baked in before anyone notices. By the time you realize two people built conflicting implementations, both are in production.
The project board — the structured representation of what needs to happen, who's doing what, and what's blocked — becomes the control surface for the entire operation. Not the editor. Not the terminal. Not the chat. The board. It's where intent meets execution, and in a vibe coding world, that's where value is created or destroyed.
What coordination looks like now
The old coordination model was a human process: standups, planning sessions, design reviews, retrospectives. It worked because the pace of production was human. Now the pace of production is superhuman, and the coordination model hasn't caught up.
What needs to change is the feedback loop. When a developer or agent starts work, the system should know immediately. When something is blocked, the system should surface it before it cascades. When two people are working on overlapping problems, the system should flag it in real time — not in next week's standup.
That means the coordination layer needs to be as fast as the production layer. If code is generated in minutes, coordination can't happen in weekly meetings. It needs to happen continuously, in the background, without requiring anyone to fill out forms or update tickets manually. The system should observe what's happening and keep everyone — humans and agents alike — aware of the big picture.
This is where conversation becomes important. Talking about work is faster than filing tickets about work. If you can describe what you're doing in a sentence, and the system translates that into structured state — a task created, a status updated, a dependency recorded — then coordination happens at the speed of speech, not at the speed of data entry.
The vibe coding paradox
Vibe coding's promise is that you don't need to know how to code to build software. That's true, and it's powerful. But the paradox is that the easier it gets to build, the harder it gets to manage what you've built. Individual productivity goes up. Team coherence goes down — unless you invest in coordination infrastructure that matches the new speed of production.
The companies that will win the vibe coding era aren't the ones that generate code fastest. They're the ones that maintain coherence while generating code fast. Speed of production is commoditized — everyone has access to the same AI models. What differentiates is the ability to aim that speed at the right problems, in the right order, without duplication or conflict.
That's a project management problem. Not the kind that's solved by a more powerful editor or a smarter AI model. The kind that's solved by a system where everyone — every human, every agent — can see what's happening, say what they're doing, and understand how their work fits into the whole. A shared surface that turns individual velocity into collective progress.
Vibe coding solved the production bottleneck. The coordination bottleneck is wide open. The tools that close it will define how software gets built for the next decade. That's what we're building.