AI-built code you can actually trust.
Describe a feature in plain language. An agent plans it with you, builds it in an isolated environment, and delivers a tested pull request for your review — all on infrastructure you control.
Saved payment methods
Plan reviewI’ll spec out saved payment methods. First — should we support more than one saved card per customer, or just one?
Multiple cards, with one marked default.
Got it. I’ll use a Stripe SetupIntent to tokenize the card and store only the payment method id + last4/brand. Writing the ADR now.
Six checkpoints between a description and production
Nothing skips a step. Nothing merges unreviewed or untested.
Describe
Give the feature a title and any context. That's the entire ask.
Plan & design review
You lead the planning. Scope, edge cases, and constraints get written up as a decision record before a single line of code is touched.
Agent builds
Approved plans get built unattended, inside an isolated environment with no access beyond what that job needs.
Automated tests
Test scenarios run against the build automatically, catching regressions before anyone has to go looking for them.
Agent & user review
The agent checks its diff against the approved plan first. Then everything lands as a real pull request against a live preview — your team reviews it, requests changes, or sends it back.
Merge
Merge when it's ready. Deployment to your target environment is automated from there.
Built to keep unsafe changes out
Every job runs in isolation. Every credential is scoped to its task. Every change is reviewed and tested before it ships.
Isolated environments, every run
Each job runs in its own ephemeral Kubernetes pod, torn down when it finishes. Nothing persists, nothing leaks between runs, projects, or teams.
Scoped, short-lived permissions
Repo access is granted per installation. Jobs get short-lived tokens scoped to exactly what they're doing — never a standing, all-access credential.
Secrets, permissioned per environment
Encrypted at rest, decrypted only server-side. Production credentials stay out of preview and dev runs — each environment gets exactly the access it needs.
A decision record for every feature
Every design review ends in a written ADR, committed alongside the code it justifies. Nothing ships without a paper trail.
Reviewed by the agent, then by you
The agent checks its own diff against the plan. Then every change lands as a draft PR your team reads, comments on, and approves.
Preview environments, automatically
Every run gets its own temporary deployment, so you can see the change working before you approve it — not just read a diff.
Automated deployments
Approved changes deploy through the same pipeline every time — no manual steps, no drift between environments.
Self-hosted, top to bottom
Run it on your own Kubernetes cluster, or a bundled dev environment. Your code, your containers, your infrastructure.
Automated test suites
Markdown test scenarios run against your deployment on a schedule, catching regressions before your team does.
Your keys. Your infra. Your GitHub.
Nothing here runs on an account, a cluster, or a model provider you don't already control.
Bring your own keys
Connect OpenRouter, Anthropic, OpenAI, or a custom endpoint. Your API keys, your model choices, per job.
Bring your own infra
Run it on your own Kubernetes cluster, or a bundled dev environment. Nothing lives on infrastructure you don't control.
Bring your own GitHub
Sign in with the GitHub identity and repos you already have. No new account, no new access model to manage.
No unreviewed code. No standing access. No surprises.
Isolated, reviewed and tested, merged on your terms — without dictating your stack.
- A code editor or IDE replacement
- A CI/CD pipeline — it complements the one you have
- A Jira/Linear-style project tracker
- Opinionated about your tech stack
- A quality enforcement system for AI-built code
- Isolated and permission-scoped, run by run
- Strict about process, with zero opinion on your tech stack
- Self-hosted on your own infrastructure, top to bottom
Ready to ship AI-built code you can trust?
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