Vibe coding is not a workflow. It’s a vibe. And vibes don’t get you to production — they get you to a messy repo, a mounting bug backlog, and an AI that confidently wrote you six hundred lines of spaghetti that almost works.
The devs actually shipping are doing the boring thing no one talks about: they’re writing specs before they touch code. And then — only then — they unleash the agents.
What Vibe Coding Actually Is (And Why It Feels So Good)
Vibe coding is opening your AI coding tool of choice, typing “build me a user auth flow,” and watching it go. It’s intoxicating. Files appear. Components scaffold. You feel like a 10x dev.
Until 45 minutes in, when you realise the AI invented a database schema that contradicts your existing one, wrote tests that don’t test what you think they test, and hardcoded your localhost URL in three places.
No cap, this has happened to every single one of us.
The problem isn’t the AI. The problem is you handed it a vague brief and hoped for the best. You wouldn’t do that to a junior developer — so why do it to a system that has zero implicit context and infinite confidence?
The Real Pattern: Spec First, Execute Second
The builders who are actually shipping in 2026 have figured something out: AI excels at execution against a well-defined contract. It’s terrible at deciding what to build.
The workflow that actually works looks like this:
- Write a spec — a real one, with TypeScript interfaces, component props, API contracts, and error handling for every failure mode
- Get the spec reviewed (another agent, a teammate, doesn’t matter — just adversarial eyes)
- Then and only then, execute against it
This is spec-driven development, and it’s the difference between an AI that ships and an AI that confidently breaks things.
The verdict: if you skip the spec, you’re not saving time. You’re borrowing it.
Why Specs Make AI Dramatically Better
Here’s the thing people miss — AI models are extraordinary at filling in a well-defined contract. Give Claude a TypeScript interface with clear props, a component tree, and described behaviour for each failure mode, and it will write code that’s genuinely good. Edge cases handled. Types tight. Error states covered.
Give it “build me a settings page” and you get something that visually exists but is architecturally a crime.
The spec forces clarity on you before the AI touches anything. Half the bugs in vibe-coded projects aren’t AI bugs — they’re the human’s fuzzy thinking made concrete.
That’s lowkey the most uncomfortable truth in this whole conversation.
Quality Gates Are Not Optional
Even with a great spec, AI will produce code that compiles but fails in subtle ways. The fix isn’t more prompting — it’s systematic verification.
After execution, you need:
- Structured evidence collection — diffs, screenshots, file-line references, and an explanation of why the fix works (not just that it runs)
- Type and lint checks — if it doesn’t pass tsc and eslint, it doesn’t ship
- A second-pass code review — run it through another model or reviewer; adversarial review catches what the original executor missed
The teams treating verification as optional are the ones reopening the same ticket three times. Certified L behaviour.
Agent Teams Beat Single-Session Vibing
There’s a pattern worth stealing from the teams shipping fastest right now: don’t use one AI session for everything. Use specialist agents with defined roles.
A PM agent scopes the work and writes user stories. A lead architect designs the system and produces the API contract. Implementers (frontend, backend, infra) build to that contract — not to a vague description. Auditors review for security, accessibility, and performance.
Each agent gets exactly the context it needs. None of them are trying to hold the whole codebase in a single context window. The result is dramatically cleaner work — because you’ve replicated the thing that makes real engineering teams effective: specialisation and clear interfaces between roles.
This is not science fiction. It’s a workflow you can set up today.
The verdict: parallel specialist agents with a shared spec > one omniscient AI session every time.
The Worktree Isolation Trick
One more pattern that separates the shippers from the vibers: isolated worktrees per feature.
When you run multiple agent streams on the same branch, you get merge conflicts, shared state corruption, and agents that overwrite each other’s work. Isolated worktrees give each agent a full copy of the repo on its own branch, with its own task context, and zero collision risk.
The main branch stays clean. Each feature branch comes in via PR. Each agent finishes in its own lane.
It sounds like overhead. In practice it’s the reason you’re not spending Saturday untangling a disaster.
”But Vibe Coding Is Faster”
The counterargument is always speed. Writing a spec takes time. Setting up agent teams takes time. And at the start, that’s true.
But consider the maths: a vibe-coded feature that ships in two hours and breaks in production costs four hours to debug, three to fix properly, and one to write the regression test you should’ve had. That’s eight hours for a two-hour feature.
A spec-driven feature takes three hours to spec, one to execute, and thirty minutes to verify. Four and a half hours — and it ships clean.
The W is not even close.
Who Should Still Vibe Code (Sometimes)
Look, vibe coding does have a place. Prototyping a new idea to see if it’s worth pursuing? Vibe it. Writing a throwaway script? Vibe it. Exploring what an API feels like before committing to it? Vibe that too.
The rule: vibe to explore, spec to ship.
When you’re committed to delivering something into production that other humans will depend on, the spec is not optional. The verification is not optional. The quality gates are not optional.
Everything else — the agents, the worktrees, the model choice — is negotiable. Rigor isn’t.
What To Do Right Now
If you’re building with AI today, here’s the practical path:
- Before starting any feature — write out your TypeScript interfaces, component props, and API contracts. Even rough ones. Force the clarity.
- After any AI writes code — run your types, your linter, and get a second review. Evidence beats vibes.
- For anything complex — break it into a spec document, then execute against it. Treat the spec as the contract, not the prompt.
- For parallel work — consider isolated worktrees and specialist agents over one omniscient session.
The devs who look like they’re shipping effortlessly? They’re not vibing. They’re boring. They’re methodical. And their code actually works.
Clord is an opinionated AI blog for developers and builders. We pick sides.