Immersion
We read the codebase the way an agent has to — architecture, module boundaries, and the conventions that live only in your team's heads.
AI Coding Rollout
Claude Code, Codex, and Cursor made reliable for your whole team — the context layer, repo skills, evals, CI gates, and training.
- Price
- From $12K
- Timeline
- 3–10 weeks (Foundation → Org Scale)
- Terms
- Fixed scope
We roll out AI coding your team can trust — the files agents read first, and the gates that catch them when they're wrong.
Foundation writes the context layer: AGENTS.md, CLAUDE.md, DESIGN.md, codebase maps, repo-specific skills, and your test, PR, and security conventions. Org Scale adds MCP, evals, CI agent-gates, multi-agent workflows, observability, and team training.
Vendor-neutral by design: the same rollout makes Claude Code, Codex, Cursor, and Gemini reliable in your repo. You own every file, and your team is trained on all of it.
Foundation
We write AGENTS.md, CLAUDE.md, and DESIGN.md, map the repo, build repo-specific skills, and set the test, PR, and permission guardrails.
Org Scale
MCP and tool integrations, the eval and regression suite, CI agent-gates on every PR, multi-agent workflows, and observability.
Rollout
Team training, workflow redesign, and a runbook — then we walk the whole team through every file before handover.
What the engagement covers
- Stack, architecture, conventions
- Build + test + deploy commands
- What the model must never assume
Agents stop re-guessing your conventions on every run — the first file they read is the source of truth.
- Design tokens + type scale
- Component + section patterns
- Accessibility rules
UI changes land on-system the first time, instead of inventing a fifth button style.
- Module + package boundaries
- Where features actually live
- Data + control flow
Agents navigate a large repo without losing the thread across package boundaries.
- Your recurring tasks
- Task-to-file playbooks
- Reusable prompts + steps
The tasks your team does weekly become one-command skills any agent can run.
- Test patterns + fixtures
- PR template + checks
- Your definition of done
Agent PRs arrive shaped like your team's — reviewable, tested, and scoped.
- Secret + token scope
- Tool + MCP permissions
- What agents may touch
Agents operate inside explicit boundaries — no unscoped access to production.
What you receive
Tangible artifacts you keep, whether or not you continue past this engagement.
Deliverables · 8 included
- 01AGENTS.md, CLAUDE.md, DESIGN.md tuned to your stack
- 02Architecture + codebase maps
- 033–8 repo-specific skills
- 04Testing + pull-request conventions
- 05Security + permission policy
- 06Org Scale: MCP integrations, eval harness, CI agent-gates
- 07Org Scale: multi-agent workflows, observability, team training
- 08Team walkthrough + handover docs
The rollout, delivered as real files and gates — not a wiki page.
The files agents read first, the skills that automate your recurring work, the guardrails that keep output on-pattern, and — at Org Scale — the evals, CI agent-gates, and observability that keep a whole org in control. A sample is shown; yours is written against your repo.
The files we write
AGENTS.md, CLAUDE.md, DESIGN.md, and the rules agents read before they touch a line.
root + per-package
A repo skill
Your recurring tasks, encoded as one-command skills any agent can run.
01---02name: ship-feature03when: adding a user-facing feature04---05 06## Steps071. Scaffold under src/components/<feature>082. Wire the route + nav (header + footer)093. Add tests; run `bun run check`104. Open a PR with the feature templateThe implementation is adapted to the qualified workflow and reviewed before release.
The merge gate
A representative gate policy: required evidence, explicit review, and hard blocks where risk changes.
required
- Input
- Representative case
- Evidence
- Trace and expected outcome
The states demonstrate the review UI. They are not evaluation results.
The acceptance policy
What an agent change must prove before the team accepts it.
01# Agent change acceptance02 03Required04- scoped to the requested outcome05- tests cover changed behavior06- eval evidence is attached07 08Review when09- permissions or tool access expand10- generated output changes policy11 12Block when13- evidence is missing or checks regressThe implementation is adapted to the qualified workflow and reviewed before release.
Illustrative product scenes · never client results
Plus: A team walkthrough of every file · handover docs · 30 days of async Q&A while your team beds it in.
Built for
Standardizing agent conventions across repos
One context standard every team inherits, instead of ten engineers each tuning their own.
Owning a large, load-bearing codebase
A repo an agent can navigate reliably — so AI accelerates the team instead of adding review load.
Making a monorepo agent-legible
Maps, skills, and boundaries that scale agent work across every package.
Questions, answered
Common questions
Start with one useful decision.
Bring the workflow and the person responsible. We scope the exact number with you, and sign a mutual NDA before any code or data is shared.
From $12K · 3–10 weeks (Foundation → Org Scale)