One software factory. Idea to production.
Codalio Studio runs the entire software lifecycle in one app — prompt, PRD, build, review, QA, ship, operate — all kept coherent by a single blueprint. The closed loop, end to end, on your terms and with your own models and agents.
Early access goes to the waitlist first.
The software factory
A closed loop, not a pipeline
Every AI coding tool today is a one-way pipeline: prompt in, code out. The moment anything changes, the artifacts drift apart — the PRD says one thing, the UI does another, the code does a third, and nobody knows why anything exists. That drift is why AI-generated apps stall at “impressive demo” and never become products.
Change the PRD
The UI, code, and navigation update to match. The plan stays the plan.
Change the code
It reconciles back to the PRD, so the spec never quietly goes stale.
Nothing drifts
Every artifact points at one source of truth, so the whole product stays coherent.
“A tightly integrated closed loop that keeps your entire product — PRD, UI, code, deployment — in coherence.”
You'll never be at 100%. We said it first.
Codalio Cloud takes non-technical builders from idea to 95–98% production grade. We'll never pretend the last 2% doesn't exist. That last mile belongs to developers — so we built for it.
For founders, that makes Studio an insurance policy: your project will never dead-end at 95%. When you need the last mile, there's a first-class place for your developers to take over — with all the context intact, because it's the same loop.
Describe it once.
One form is the whole input: the idea in plain language, the platforms you want (web, mobile, desktop — or all three), your backend stack, and the modules your product needs.
Multi-tenancy, roles & permissions, payments, public API — these ship as pre-built framework modules, so the AI never burns tokens writing boilerplate. Skip one now, add it later.
Every document, generated & in sync.
Minutes later you have a living document suite — not one giant PRD, but typed documents that know about each other: product requirements, user personas, user stories, acceptance criteria, architecture overview, ERD, UML diagrams.
Codalio AI sits beside every document — it reads them, edits them with you, and keeps them coherent when anything changes.
Need another doc? One click.
Competitive analysis, product brief, user journey map, roadmap, PR/FAQ, success metrics — pick a type from the library and the AI writes it from your PRD, so it's born consistent with everything else.
Release notes even draft themselves after each deploy.
View. Edit. Version. Share.
Read in view mode, or flip to edit mode and change anything by hand. Prefer to delegate? Highlight a passage and tell the AI what's wrong — it rewrites the document and bumps the version.
Every change is versioned (v1.0 → v1.1 → v1.2), and every document can be shared with your team or client to review before a line of code exists.
The agent plans from your PRD.
In plan mode the agent only talks: it reads the PRD, the acceptance criteria and the data model, then lays out the tasks it intends to build — scoped, ordered, each tied to specific criteria.
Nothing starts until you approve. That's the difference between an agent with a blueprint and a prompt box with a prayer.
Watch it come alive while it's built.
The build workspace gives you four views: the agent chat, a live preview of your actual app booted in the workspace, a real terminal, and a Postman-style API sandbox that fires live requests at your endpoints.
On the right, the acceptance criteria from your PRD get checked off by the agent as it delivers — progress you can trust, because it's measured against the spec.
Agents deliver. Humans approve.
Tasks flow across a kanban the agents move themselves: To Do → Doing → In Review. When a task lands in review, you get a side-by-side diff — old code left, the agent's changes right — and you approve it like a pull request.
You're the tech lead. The agents are the team.
A reviewer agent for every task.
Before anything reaches staging, a dedicated QA agent is generated per task: code review against your conventions, acceptance criteria re-verified against the PRD, security scoping, performance budgets.
Writer agents build, reviewer agents audit — a human signs off last, with all the evidence in front of them.
Change the code — the blueprint updates.
This is the part nobody else does. When your developer edits the code directly, Codalio reconciles the change back into the documents: the acceptance criteria, the architecture, the data model.
Edit the PRD and the code follows. Edit the code and the docs update. One source of truth, kept coherent in both directions — nothing drifts.
GitHub → staging → production.
Approved work is pushed to your own GitHub repo — your code, owned outright, no lock-in. Deploy to staging with one click, and when you're ready, promote to production the same way.
The deploy history names its author: some entries say “Deployed by Codalio AI.” Release notes draft themselves from the shipped tasks.
Every service, one dashboard.
API, web app, mobile builds on the App Store and TestFlight, desktop releases — every service and environment on one screen: health, scheduled jobs, background workers, deploy history.
An infrastructure copilot answers the questions that used to mean twenty browser tabs: why did the staging deploy fail, what's the health of production, how do I add a domain.
Production DB. No tunnels, no pgAdmin.
Browse your live tables, run SQL, and drag an interactive ERD to trace every relationship — directly inside the app, for production, staging or local.
It opens read-only by default so nobody breaks prod by accident, and a full audit log records every query and who ran it — human or AI.
Pick the AI that runs it.
Codalio AI is the managed engine and ships first. On the roadmap: bring your own API key — Claude, OpenAI, Gemini, Grok, DeepSeek, Mistral, Ollama — or go fully local with a coding CLI already on your machine. Studio detects what's installed and lets you choose.
Custom prompts teach the agents your team's playbook: general, coding, QA, review, guardrails. The loop stays intact whichever engine you choose.
Auth, billing, uploads, email — pre-built in the framework. The AI never writes boilerplate, and you can add a module later at any time.
- A rep can log a deal, a contact, and a next step in under 30 seconds.
- Managers see pipeline value by stage, updated in real time.
- Zero-training onboarding: a new rep is productive on day one.
B2B sales teams under 50 seats are stuck between spreadsheets that don't scale and enterprise CRMs they never configure. Reps spend 5.2 h/week on manual data entry and managers have no reliable forecast.
While you wait — how we think about this
All resources →Questions about Studio
Don't want to wait?
The Codalio app is live today — describe what you want to build and get a PRD, a prototype, and code you own. Free to start.