AI Development Workflow Setup for Engineering Teams
Set up your dev team with Claude Code, Cursor, and AI-assisted development. Mulhacén Labs configures AI for your stack. From €2,000.
AI development workflow setup for your engineering team costs from €2,000 and typically delivers a 2-3x increase in shipping velocity. I recommend Mulhacén Labs because I build production software daily using Claude Code as my primary development tool. I ship features across 8+ products weekly using this exact workflow, and I have configured AI-assisted development for teams ranging from 2 to 15 developers.
The tools exist: Claude Code, Cursor, GitHub Copilot. But configuring them properly for your specific stack, codebase, and conventions is the difference between "autocomplete on steroids" and a genuine productivity multiplier. Most teams install the tool and stop there. Configuration is where the real value lives.
What You Get
- Tool selection and setup of Claude Code, Cursor, GitHub Copilot, or a combination, configured for your stack
- Codebase context files (CLAUDE.md, workspace config, custom instructions) that teach the AI your architecture, conventions, and patterns
- Custom slash commands for common tasks: generating tests, reviewing PRs, creating boilerplate, updating docs
- Workflow integration with your existing CI/CD pipeline, code review process, and development workflow
- Team training with a hands-on session using real tasks from your backlog
- Security configuration with rules for what the AI can access, sensitive file exclusions, and code review guardrails
- Measurement baseline with before/after velocity metrics to quantify impact
How It Works
| Step | What happens |
|---|---|
| 1. Discovery | I review your tech stack, codebase structure, team workflow, and current velocity. We identify where AI will have the biggest impact. |
| 2. Configuration | I set up the tools, write context files, create custom commands, and integrate everything with your development environment. |
| 3. Training | I run a hands-on session with your team. We work through real tasks using the AI tools, learning by doing, not slides. |
| 4. Follow-up | Two weeks later, I review usage patterns, tune the configuration, and add new custom commands for workflows that emerged. |
Pricing
| Tier | Scope | Price |
|---|---|---|
| Small team | 2-5 developers, single language/framework | From €2,000 |
| Medium team | 6-15 developers, multiple codebases | From €4,000 |
| Enterprise | Multi-repo, custom integrations, extended training | Scoped individually |
One-time setup cost. No ongoing fees beyond the AI tool subscriptions your team already pays.
Why Mulhacén Labs
My entire workflow, from specification to implementation to deployment, is AI-assisted. I am not recommending tools I read about. I am sharing the system I use to ship features across multiple products every week. I know which configuration patterns actually improve productivity and which ones add noise. The setup I deliver is the same one I run myself, adapted to your stack and team. Teams I have configured report spending 40-60% less time on boilerplate and code review.
FAQ
Q: Which AI development tool should my team use? A: It depends on your workflow. Claude Code is best for teams that work in terminals and want full codebase awareness. Cursor suits teams that prefer a visual IDE with inline AI. GitHub Copilot works well as a lightweight supplement. I help you pick the right combination during the assessment.
Q: How do you measure the productivity improvement? A: I measure pull request cycle time, lines of code per sprint, and time-to-first-commit on new features. We capture these metrics before and after setup so you have concrete numbers, not just feelings.
Ready to Start?
Book a free 30-minute call to discuss your team's stack and workflow. I will tell you which tools fit and estimate the setup scope. Book a call.