Internal AI Coding Workflow Build-Out
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.
What you get
01A working internal AI dev platform your engineers actually use
02A library of slash commands, agent definitions, and templates
03MCP servers for your internal tooling with auth and audit
04Standards and review hooks that keep quality high
Built on our open source
brat — A multi-agent harness for AI coding tools — crash-safe state, parallel execution, one CLI.
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.