Engagement
1–3 weeks
Depends on repos and integrations
Dev environment · AI tooling · Engineering productivity
AI development environment setup for productive engineering teams
I design and implement the AI-augmented dev environment your team actually needs — editors, rules, MCP, local models, CI hooks, and documentation — so engineers ship faster without chaos.
Overview
The best AI dev setup is not “everyone installs Cursor.” It is indexed context, shared rules, safe defaults, integrations with your issue tracker and docs, and a review culture that catches AI mistakes early.
I set up AI development environments for startups and scale-ups — from solo founders to teams of dozens — including monorepo conventions, MCP servers, template prompts, and onboarding docs.
This is hands-on implementation, not a slide deck. When we finish, your team has a working environment and a playbook to evolve it.
At a glance
Includes
Rules + MCP
Tailored to your stack and compliance
Outcome
Team-ready
Documented setup new hires can follow
What you get
Editor and agent configuration
Cursor / Claude Code settings, shared rules, model routing, and ignore patterns.
MCP and integrations
Issue trackers, docs, databases (read-only where appropriate), and internal APIs.
Repo and docs structure
AGENTS.md, architecture overviews, and context that improves agent accuracy.
Enablement session
Live walkthrough for engineers with Q&A and recorded reference material.
Setup impact areas teams report after rollout
Self-reported improvement themes from post-setup check-ins.
How it works
Days 1–2Discovery — Stack, compliance, and how the team works today.
Days 3–7Implementation — Rules, MCP, templates, and pilot with 2–3 engineers.
Days 8–10Rollout — Team workshop and documentation.
Week 3Tune-up — Optional follow-up after real usage data.
Outcomes teams care about
- Working AI dev environment committed to your repos or internal docs
- Engineers aligned on when and how to use agents
- Faster iteration on features and fixes
- Foundation for ongoing vibe coding coaching
Frequently asked questions
How is this different from the vibe coding audit?
The audit diagnoses gaps. This engagement implements the setup — rules, MCP, docs, and team rollout.
Do you support Windows and Mac mixed teams?
Yes. Setup docs cover per-OS differences and CI environments.
Can we use our own LLM gateway?
Yes. OpenRouter, Azure OpenAI, Bedrock, and self-hosted models can be integrated where policy allows.
What stacks do you specialize in?
TypeScript-heavy web apps (Angular, React, Vue), Node backends, and typical SaaS infra. Other stacks on request.
Ready for an AI dev environment that works on day one?
Share your team size, repos, and compliance constraints. I will propose setup scope and timeline.