setupLab
We build autonomous development pipelines for your team.
The hard part isn't the tool. It's learning to think in terms of orchestration instead of implementation. That's what we teach.
The Problem
Your team knows AI changes everything. They don't know how to change with it.
You've seen the demos. You've bought the Copilot licenses. Maybe you've even run a hackathon. But your development process is fundamentally the same: humans writing code, humans reviewing code, humans managing tickets.
The gap isn't tooling. It's architecture. Knowing how to decompose work so AI agents can execute it reliably. Knowing how to build trust boundaries, quality gates, and feedback loops that make autonomous execution safe. Knowing what to automate and what to keep human.
We've spent three years building this. We'll teach your team in weeks.
What You Get
A working autonomous pipeline. Not a slide deck.
Pipeline Architecture
Custom-designed orchestration architecture for your codebase. Signal intake, task decomposition, agent assignment, quality gates, and merge automation — mapped to your team's workflow.
Agent Configuration
Tuned agent templates with system prompts, context files, tool configurations, and model routing. Your agents know your codebase conventions, your test patterns, your review standards.
CI/CD Integration
Git worktree isolation, automated PR pipelines, branch protection rules, AI code review, and auto-merge workflows. Agents ship through the same quality bar as your human engineers.
Team Enablement
Your team learns to architect for autonomous execution — decomposing work, writing specs agents can implement, reviewing AI output, and evolving the system as models improve.
How It Works
Three phases. Operational in weeks.
Audit
We analyze your codebase, CI pipeline, team structure, and development workflow. We identify what can be automated today, what needs architectural changes, and what should stay human. You get a concrete assessment, not a generic playbook.
Build
We architect and configure your autonomous pipeline — agent templates tuned to your codebase, worktree isolation, quality gates, model routing, and CI integration. We build it alongside your team so they understand every decision.
Transfer
Your team runs the pipeline independently. We stay available for questions, but the goal is full ownership. The system is yours — no vendor lock-in, no recurring fees, no dependency on us.
Who This Is For
Teams that build software and want to build it faster.
Startups that need to ship at 10x speed with a small team
Mid-size engineering teams looking to multiply output without multiplying headcount
Technical leaders who understand AI is the shift but need help with the architecture
Solo founders building their first AI-native development workflow
Who We Are
Built by the team that built the system.
protoLabs is led by Josh Mabry — 8+ years shipping production software, former Principal Application Architect at Vizient, 3+ years deep in agentic AI. Josh designed the autonomous development methodology and uses it every day to ship real products.
The proof is in the git log. 370,000 lines of production TypeScript. Three shipped products — including the tool itself. 94 features at $0.56 average cost per feature. This isn't a methodology we theorized. It's one we run in production.
Ready to build faster?
Tell us about your team, your codebase, and what you're trying to accomplish. We'll tell you if we can help.
hello@protolabs.consultingNo sales deck. No demo request form. Just a conversation.