For Developer Experience
Turn the AI coding free-for-all into a golden path
Adoption is happening with or without you. We help you standardize it — so juniors and seniors both get faster, and quality goes up instead of down.
The productivity is real but it’s not compounding, because everyone uses the tools differently. We build the internal AI dev platform that makes the right workflow the default one.
What’s on your desk
Quality is slipping as speed rises
Juniors ship faster with agents; seniors catch more issues in review. Without standards and guardrails, velocity comes at the cost of the codebase.
Every engineer reinvents the workflow
No shared slash commands, agent definitions, or templates. The team’s collective learning evaporates instead of accumulating.
Internal tools aren’t agent-accessible
Your devs can’t point agents at company infra safely, so a whole class of high-value tasks stays manual.
No measurable adoption story
Leadership asks if the AI tooling investment is paying off and you don’t have the instrumentation to answer.
How we’d help
The engagements that fit a Head of DevEx best — each ships working software and a measurable result.
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.
A working internal AI dev platform your team adopts
MCP Server Builds for Internal Tooling
→We expose your internal systems — Datadog, Linear, databases, deploy tooling — to AI agents over MCP, so your devs can work against company infra safely.
Internal MCP servers with auth, access control, audit logs
Agentic Codebase Readiness Audit
→We map your codebase against what actually makes it AI-coding-ready — module boundaries, test coverage, type strictness, docs, CLAUDE.md / rules files, and MCP potential — and quantify how far off you are.
A scored report + prioritized remediation roadmap
Agentic Development Platform Build
→A brat-style multi-agent harness tuned to your stack. Your devs delegate tasks — refactor a module, add tests, fix a class of bugs across the codebase — with safety rails and human-in-the-loop.
A multi-agent harness running against your repo
The proof is open source
We deploy the same infrastructure we build in the open.
Ship the golden path your team adopts
We’ll build the slash commands, agent definitions, MCP servers, and review hooks — and roll them out until adoption sticks.