True multi-language
Python, Node/JS/TS, Angular and Java/Spring — each with its own real verification toolchain running inside Docker.

Your automated engineering team. A requirement goes in; a pull request comes out with tested, secure, production-ready code. You just approve.
The product
Rubit AutoCoder is not an assistant for programmers: it is the whole factory. A pipeline of specialized AI agents — analyst, architect, developers, reviewer, DevOps — turns requirements written in natural language into verified, documented, packaged code. Quality does not depend on who reviews: the system guarantees it with an automatic Definition of Done no agent can skip.
It is designed to be operated without engineers: one person on your team creates requirements from a web portal and approves or rejects each delivery. It is the same platform Rubit uses to build and deliver its own software.
The flow, in one line
requirement → acceptance matrix → implementation → tests / coverage / security / licenses → PR → your approval → delivery
"Quality is guaranteed by the system, not by human review: the approver brings judgment, not bug-hunting."
How it works
A controlled process with mandatory checks at every step — not agents chatting at random.
You describe what you need in natural language — or upload the full requirement PDF.
An analyst agent turns it into a spec with verifiable acceptance criteria.
An AI architect and developers implement. In team mode, several work in parallel with an integrator.
Tests, coverage, security and licenses verified in an isolated Docker sandbox. No shortcuts possible.
An AI reviewer distinct from the author reviews the code. You see every check in green and approve or reject with feedback.
Pull request merge or .zip package with code, docs and SBOM (software bill of materials). Production-ready.
Capabilities
All 4 supported stacks are validated end-to-end with real integration tests in Docker.
Python, Node/JS/TS, Angular and Java/Spring — each with its own real verification toolchain running inside Docker.
Backend + frontend in a single requirement (e.g. Java/Spring + Angular); each module verified separately.
New code must be covered by tests and tests must kill bugs (mutation testing). The system blocks every shortcut.
Create requirements, watch live progress, approve gates, cost metrics and role-based users. All from the browser.
Upload the requirements document: it gets decomposed into tasks with man-hour estimates you approve before any development.
The system learns your domain — databases, services, modules and relationships — and reuses it on every new requirement.
Designed to also deploy on your own infrastructure: moving inference from cloud to your own hardware is just configuration, no code changes.
Production incidents: the flow guides the agent to reproduce the bug with a failing test, apply the minimal fix and verify without regressions.
Every line of code, every cost and every approval is recorded and attributed. End-to-end audit trail.
Why does your company need it?
Lower cost, more speed and a level of quality that does not depend on who is on shift.
No development payroll, no recruiting. Every delivery has a measured cost and an upfront estimate: ROI shows up in the portal instead of being promised in a meeting.
The requirement queue is processed day and night by an always-on engine. The only bottleneck is your approval click.
The quality floor is enforced by configuration, not by a developer's mood: minimum coverage, security and licensing — identical on every delivery.
Nothing gets merged or delivered without human approval. A non-technical person runs the whole cycle from the portal, with roles and permissions.
Static analysis, secret detection, SBOM and license audit on every delivery. Sensitive paths (payments, authentication) raise the bar automatically.
Domain memory grows with every delivery and rejections become conventions. Unlike staff turnover, nothing walks out the door.
Definition of Done
On the Standard and Rigorous profiles — the default for client code — no pull request reaches your inbox without clearing these checks:
Three rigor profiles — you choose per requirement
Express
Fast and light: sandbox tests without the full verification floor. For small, internal fixes.
Standard
Full quality — the default. Coverage ≥80% with new code covered.
Rigorous
Maximum rigor: coverage ≥85%, diff ≥90% and mutation testing.
The difference
A copilot suggests code; an engineer decides, tests and integrates. AutoCoder is the whole team.
A team depends on people: turnover, vacations, seniority. AutoCoder is a process.
The Rubit product line
Rubit AutoCoder is Rubit Corporation's first SaaS product and the platform we use to build and deliver our own software. More products will join the family soon. Looking for custom services? Visit the service catalog.
See it in action
Tell us what you want to build and we'll show you AutoCoder working on your own case: from requirement to verified pull request.
Or reach us directly:
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