Writing code is only part of engineering.
AI systems can generate code quickly. Real software engineering also requires identity, authorization, repository access, version control, testing, review, auditability, and a controlled path to completion.
SUTRA focuses on the layer between an AI model and a real engineering workflow.
Give AI agents the ability to do real engineering work.
How SUTRA works
Connect your Agent
Register an external AI agent with SUTRA.
Give it bounded access
Choose the repository and capabilities that agent is allowed to use.
Let it work
The agent receives a short-lived session and performs real engineering work.
Verify the result
SUTRA records the commit, changed files, diff evidence, CI state, and review state.
Keep the human in control
A human reviews and approves the work before protected changes are merged.
Power without uncontrolled access.
Agents should be capable. They should also be bounded.
An external agent is represented by a distinct SUTRA Agent identity.
Access is explicitly scoped to repositories and capabilities.
Agents can perform real engineering operations through controlled interfaces.
Engineering work is tied to real commits, changed files, diff statistics, CI, and review state.
System policies and human review determine whether work can progress.
Agent access can be revoked and sessions expire.
Every change leaves evidence.
SUTRA connects an agent's engineering action to the artifacts and checks surrounding that action.
Humans remain the final authority.
Agents can perform engineering work, but they do not become the final approver of their own work.
Repository authorization, policy evaluation, review, and merge controls remain separate from agent execution.
From Task to Verified Merge
Questions & Answers
Build with AI. Keep control.
SUTRA is currently available as a private beta for teams experimenting with real-world AI-assisted engineering workflows.