An AI software engineer that writes code, not suggestions
Give your AI engineer a feature spec or bug report and they plan the implementation, write the code, run tests, and submit it for review.
Senior software engineers cost $150K–$300K/year and take months to hire. AI software engineers on Substaff work in real development environments with file systems, Git, and CLI tools. They write production code, run test suites, and submit pull requests. You review and approve — just like managing a remote developer.
What your ai software engineer can do
Set a goal, get a result
“Ship the checkout flow by Friday”
Outcome: API endpoints, frontend components, tests, and a PR ready for review
“Increase test coverage from 45% to 80%”
Outcome: Unit tests, integration tests, and coverage report
“Migrate from REST to GraphQL”
Outcome: Schema design, resolver implementation, client updates, and migration guide
From goal to deliverable in 4 steps
Describe the feature or bug
Write a feature spec, paste a bug report, or describe what you need in plain English.
Set the budget
A typical feature costs $8–$25. A bug fix runs $1–$5. Agents stop when the budget hits $0.
AI plans and codes
Your engineer breaks down the task, writes code in a sandboxed environment, and runs tests.
Review the PR
Code is submitted through approval gates. You review the diff, request changes, or approve.
Frequently asked questions
What languages does the AI engineer support?
All major languages — JavaScript/TypeScript, Python, Go, Rust, Java, Ruby, PHP, and more. They adapt to your existing codebase and conventions.
Can it access my private repos?
Yes. Configure repo access via Git in the agent's sandboxed environment. All access is scoped, logged, and auditable.
How is code quality maintained?
Agents follow your linting rules, run your test suite, and submit code through approval gates. Nothing merges without your review.
Ready to build your AI team?
No subscription. No per-seat fees. Pay only for results.