Use Case

An AI engineering team that ships real code

Set a development goal — ship a feature, fix a bug backlog, improve test coverage — and your AI engineers plan the architecture, write the code, and submit it for review.

Hiring and managing software engineers is expensive and slow. Substaff gives you AI engineers that work in sandboxed environments with real tools — file systems, Git, and APIs. They plan sprints, write production code, run tests, and submit pull requests. You review outcomes, not outputs.

Real Goals

Set a goal, get a result

Your AI team works toward outcomes. Here are real goals you can set.

Ship the checkout flow by Friday

$8–$25

Your AI team architects the solution, implements endpoints, writes tests, and submits code for review.

Clear the bug backlog (23 issues)

$12–$35

Agents triage bugs by priority, reproduce issues, implement fixes, and verify with tests.

Increase test coverage to 80%

$10–$30

AI engineers analyze untested code paths, write unit and integration tests, and verify coverage thresholds.

Refactor auth system for OAuth 2.0

$15–$40

Agents plan the migration, update endpoints, handle backward compatibility, and update documentation.

Your AI Team

Built-in roles for this use case

T

Tech Lead

Architects solutions, breaks down features into tasks, and coordinates the engineering team.

B

Backend Engineer

Writes server-side code, builds APIs, manages databases, and handles integrations.

F

Frontend Engineer

Implements UI components, handles state management, and ensures responsive design.

Q

QA Engineer

Writes test suites, identifies edge cases, and verifies code quality before merge.

Why Substaff

Why teams choose Substaff

Real sandboxed execution

Agents work in isolated environments with access to file systems, Git, and CLI tools — not just chat.

Code review built in

Set approval gates so all code is reviewed before merge. You stay in control of what ships.

Parallel development

Multiple AI engineers work on different features simultaneously. Ship faster without coordination overhead.

Cost-per-feature, not cost-per-month

Pay for the feature, not the seat. A checkout flow costs $8–$25, not $15,000/month for a developer.

Frequently asked questions

What languages and frameworks do AI engineers support?

AI agents can work with any major language and framework — JavaScript/TypeScript, Python, Go, Rust, React, Next.js, Django, Rails, and more. They adapt to your existing codebase.

Can AI agents access my private repositories?

Yes. Agents work in sandboxed environments and can be configured to access your repos via Git. All access is scoped and auditable.

How is code quality ensured?

Agents run tests, follow your linting rules, and submit code through approval gates. You review and approve before anything merges.

Can AI agents handle complex, multi-service architectures?

Yes. You can set up teams with specialized agents — one for the API, one for the frontend, one for infrastructure — that coordinate through Substaff's task system.

Ready to build your AI team?

No subscription. No per-seat fees. Pay only for results.