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AI Development Workforce

AI-powered developers that write code, fix bugs, and ship features faster — extending your engineering team without extending your headcount.

No credit card required  ·  Setup in 24 hours

AI Code Assistant
18 PRs reviewed today
Reviewing branch…
AI QA Tester
142 tests passing
Coverage 96%
AI DevOps Agent
6 deploys today
"Pipeline green — v2.4 shipped."
The Problem

The development challenges businesses face today.

Small teams can't keep up with demand

Feature requests and bug fixes pile up faster than a lean team can ship them.

Hiring developers is slow & expensive

Finding and onboarding good engineers takes months, not weeks.

Testing gets deprioritized

Under deadline pressure, QA and technical debt are the first things skipped.

An AI Development Workforce writes, tests, and maintains code alongside your team — so shipping speed doesn't depend on headcount alone.

Tasks Handled

Everything your AI Development Workforce handles.

One connected workflow — from first commit to production deploy.

Write & review code

Features and fixes, on your stack

Fix bugs

Resolve issues & technical debt

Automated testing

QA runs on every change

Maintain pipelines

CI/CD, monitoring, alerts

Technical docs

Auto-generated as code ships

Refactor & optimize

Modernize the codebase over time

Third-party integrations

APIs, SDKs, and tools glued together

Security & performance

Flag issues proactively

How It Works

How AI Development Workforce works.

Four steps from signing up to closed-won deals.

01
Choose your Dev roles

Pick a Code Assistant, QA Tester, DevOps Agent, or the whole team.

02
Connect your codebase

Connected to your repo, stack, and existing dev workflow.

03
Deploy in days

Your AI Development Workforce starts contributing to sprints on day one.

04
Monitor & scale

Track velocity, bugs resolved, and deploy frequency — tune what needs it.

The Team

Meet the AI Development Workforce roles.

Hire one, or extend the whole engineering team.

The Development ROI

Real numbers from real dev teams.

0x
Faster feature delivery
0%
Fewer post-release bugs
0/0
Pipeline monitoring
0%
Lower cost vs hiring
Sprint completion time

From dragging sprints to on-time releases.

When routine coding and QA are handled, your engineers spend time on the hard, valuable work.

Calculate your Development ROI
Before AI Development Workforce 8 days
With AI Development Workforce 4 days
Integrations

Works with your dev stack.

Git, project tracking, and CI/CD tools — connected end to end.

C GitHub
GitLab
Jira
Slack
in CI/CD
Monitoring
Customer Story

We shipped two features we'd been putting off for months — without hiring anyone new.

SK
Sameer Khanna
Founder · Software Agency
2 features shipped / month
FAQ

Frequently asked questions about AI Development Workforce.

Will this replace my developers?

No — it extends your existing team's capacity, handling routine coding, testing, and maintenance work.

Can it work within our existing codebase and workflow?

Yes — it integrates with your repos and existing dev tools.

Is code reviewed before deployment?

Yes — all changes go through review checkpoints before release.

What tech stacks does it support?

Most major languages and frameworks — confirmed during onboarding based on your stack.

How is code quality maintained?

Through automated testing, review workflows, and human oversight on critical changes.

Ready to deploy your AI Development Workforce?

15 minutes with our team, and you'll see it running on your own repo.

Book a Free Demo
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