HUMAN-IN-THE-LOOP AI DEVELOPMENT
One AI-native workspace
for the entire SDLC
Requirements, planning, design, code, reviews, tests, deployments, and feedback, all in one place.
AI models are the fuel. They will change, and they should. Studio is the car that takes you from requirement to production, with you at the wheel.
The problem
Scattered tools
Specs, tasks, code, and feedback live in different places that do not talk to each other.
Lost context
Every handoff drops something. Each person, and each agent, starts with only part of the picture.
Stale specs
Requirements change every week, and agents build the old version. Fast.
More bugs, more rework
More code means more bugs, more rework, and PRs nobody has time to review.
No audit trail
Clients and leaders cannot see what the Al built, why, or who approved it.
Manual busywork
Testing, releases, status reports, and documentation still eat senior time.
The solution
How Studio solves these problems
SCATTERED TOOLS
One workspace, whole lifecycle
Requirements, scope, tasks, code, tests, releases, and feedback live in one place. Nothing to stitch together.
Lost context
Brain remembers everything
A shared project memory holds decisions, dependencies, risks, and the reasons behind them. Every person and every agent starts from the full picture.
Stale specs
Specs that stay current
Scope changes are logged as they happen, and agents always build from the latest version, not last month's.
More bugs, more rework
Tests written before code
Test cases are written first and act as the agent's definition of done. PR review and QA run inside the flow.
No audit trail
Human approval at every step
A person approves each stage before the next one starts. The activity log shows what the Al did, when, and who signed off.
Manual busywork
Reports and docs write themselves
Status reports, meeting minutes, and documentation are drafted from live project data, so senior people spend their time on decisions.
Purpose, mission, and vision

Spec sheet ยท Studio v1
Swap the fuel. Keep the machine.
For enterprise
Built for enterprise teams
Studio runs where your code lives, works with the AI models you choose, and gives your security team the controls they need to say yes.
See every plan, change, and cost
Requirements traced to code and tests
Your infrastructure, your models
Production-grade code on your existing codebase
FAQs
Frequently asked questions
How Studio compares to the AI tools your team may already use.
Do our engineers stay in control?
Is the software Studio builds ready for production?
We already use Claude Code or Codex. Why do we need Studio?
How is Studio different from Cursor or GitHub Copilot?
What about app builders like Lovable, Replit, or Emergent?
Can we see what the AI changed and why?
Where does our code live?
When can my team get access?
We'll only email you about Studio early access.
ยฉ 2026 Codebuddy. Kolkata and Austin.






