Internal AI Coding Workflow Build-Out
Last verified: June 2026· engagement
We standardize how your team uses Claude Code / Cursor / Copilot — custom slash commands, agent definitions, MCP servers for your internal tools, golden-path templates, and code-review hooks.
- Outcome
- A working internal AI dev platform your team adopts
- Timeline
- 6–10 weeks
- Pricing
- $40–120k build, $5–10k/mo tuning
- Buyer
- Head of DevEx, Head of Platform
The problem
Your team adopted Claude Code, Cursor, and Copilot in a free-for-all. Juniors move fast, seniors complain quality slips, and there’s no golden path — so the gains don’t compound.
What we do
- Define golden-path templates, slash commands, and agent definitions for your stack.
- Build MCP servers that connect agents to your internal tools, safely.
- Add code-review hooks and guardrails so agent output meets your bar.
- Roll it out with your team and tune until adoption sticks.
How it fits together
What you get
Built on our open source
brat — A multi-agent harness for AI coding tools — crash-safe state, parallel execution, one CLI.
Common questions about this engagement
Do you work under NDA?
Yes — we sign your mutual NDA before any data or repo access. For audits we prefer read-only access to start; for builds we work in a clean repo under your ownership.
Will we own what you ship?
Always. You own the code, the runbooks, the dashboards. We are explicitly set up to hand off and transition out, not to create dependency.
Vendor-agnostic — what does that mean in practice?
We integrate with what you already run — OpenAI, Anthropic, open-weight models on your cloud, your CI/CD, your observability stack. If a hosted vendor solves it, we will not reinvent it; if a self-hosted tool is the right answer, we will not pretend the hosted one is.
How is this different from a Big Four consulting deck?
We are the engineers doing the work, not analysts handing recommendations to a different team. The deliverable is working software in your repo, not a slide deck.
Can you work with our in-house AI team instead of replacing them?
Yes — most of our engagements pair with an internal owner and ramp them up to run the system after we leave. Many of our best engagements start with "we hired an AI team, help us get them productive."
Guides for this work
What is agentic coding?
Agentic coding is letting an AI coding agent plan, edit across files, run tools and tests, and iterate in a loop toward a goal — powerful for the first 80% of a change, and quietly expensive on the last 20% if you skip standards and review.
Agentic codingIs your codebase ready for AI agents?
Agents don't fail randomly on a repo — they fail predictably on the same things that slow down human engineers: fuzzy boundaries, missing tests, undocumented conventions. Readiness is just those weaknesses paid down deliberately.
Let’s scope it on a call
Thirty minutes with an engineer. We’ll tell you straight whether this is the right first move for your team.