AI engineers that work like senior teammates
High-output autonomous engineers on your team — delivering the quality of a senior hire without the communication friction of traditional offshore outsourcing.
1-day free trial · 30-day money-back guarantee
“Laboros shipped three features before our standup. It’s like having a 4am engineer who never complains.”
Marco R. · CTO, Series A startup
feat: add JWT refresh token rotation
fix: resolve race condition in queue processor
chore: migrate auth tests to RSpec shared contexts
What teams are shipping with Laboros
500+
PRs merged
24/7
Non-stop execution
<2hr
Avg. task turnaround
30-day
Money-back guarantee
Why teams choose Laboros
Senior-level engineering output, without the hiring, onboarding, or timezone friction.
Senior-level output
Deep reasoning, clean architecture, proper test coverage. Not autocomplete — an engineer that thinks through the problem and ships production-ready code.
Zero communication friction
No back-and-forth across timezones. Assign work in plain English, get a PR back. No Slack threads, no standups, no "can you clarify?" delays.
Always-on execution
Your AI engineer doesn't take PTO, sleep, or lose context. Assign work before you sleep and review the PR with your morning coffee.
Deploy your first AI engineer in minutes
Start free trial1-day free trial · 30-day money-back guarantee
How it works
From task to production-ready PR — here's the loop.
1. Connect
Link your GitHub repo and give your AI engineer access. Takes about 2 minutes to set up.
2. Assign
Describe the task in plain English — via chat, GitHub issue, or email. Your AI engineer picks it up and starts immediately.
3. Review & merge
Get a production-ready pull request with tests, documentation, and a clear description. Merge when you're satisfied.
Built for teams that move fast
Laboros was built because hiring great engineers is slow and expensive, and offshore outsourcing is unpredictable. We wanted the third option: a teammate that's always available, never confused, and ships code you'd be proud to review.
Each AI engineer runs on dedicated infrastructure with your API keys, your repos, and your context — not a shared pool. It's truly yours.
Enterprise optionsDedicated
Your own server. No shared resources or noisy neighbors.
Secure
API keys encrypted at rest. Zero-logging infrastructure.
Flexible
Any AI provider — Anthropic, OpenAI, and more.
Onboarded
We work with you within 24 hours to configure everything.
What early customers say
“I assigned a refactor task at midnight. By 7am I had a clean PR waiting for me. That's the kind of leverage I've been looking for.”
Sarah L.
Engineering Manager
“We cut our sprint backlog in half in the first month. It doesn't just write code — it writes the right code.”
Daniel K.
Founder & CTO
“The onboarding was the best part — the Laboros team helped us configure the agent for our stack in under an hour.”
Aiko T.
VP of Engineering
Simple, transparent pricing
Pay per agent. Scale your team up or down anytime.
Shared
Multi-tenant agent on shared infrastructure
- Shared server
- 1 vCPU / 2 GB RAM
- 1 interface
- Community support
Dedicated Agent
Fully managed AI engineer on a dedicated server
1-day free trial included
30-day money-back guarantee
- Dedicated server
- 2 vCPUs / 4 GB RAM
- All interfaces (Web, Telegram, etc.)
- Any AI provider (Anthropic, etc.)
- Agent browser access
- Hands-on onboarding within 24 hours
Enterprise
Deploy in your own cloud, your own VPC
- Your own AWS, GCP, or Azure
- VPC & private networking
- Multiple agents & custom integrations
- SSO, audit logs & SLA guarantees
- Dedicated account manager
Frequently asked questions
Copilot and Cursor assist individual developers as they type. Laboros deploys a fully autonomous engineer that takes a task, reasons through it independently, writes code, runs tests, and opens a pull request — without you watching or intervening. It's a teammate, not a typing aid.
Feature development, bug fixes, refactors, test coverage, documentation, code reviews, and database migrations. It works best on well-scoped tasks in established codebases. After onboarding, the team helps you identify your highest-leverage task types.
You grant GitHub repo access scoped to what you're comfortable sharing. Your AI engineer only reads and writes to repositories you've explicitly connected. API keys and secrets are stored encrypted on your dedicated server — not on shared infrastructure.
$99/month per AI engineer. You start with a 1-day free trial to verify it works for your stack. If you're not satisfied for any reason within the first 30 days, we'll refund you in full — no questions asked.
Yes. Each engineer runs on its own dedicated server, with its own context, tools, and configuration. Teams often start with one engineer and add more as they discover new task types. Enterprise plans include volume pricing and centralized management.
Ready to add a senior AI engineer to your team?
Deploy in minutes. We'll work with you to configure your AI engineer to fit your exact stack and workflow.
1-day free trial · 30-day money-back guarantee