Claude Code consulting from a studio that operates what it ships.
Claude Code consulting, principal-only. Claude Code is our engineering surface — we build on Claude by default, write the evals on day one, ship in two-week cycles, and stay on the pager when it is live. No juniors on the keyboard. No demo theatre.
It moves the hard conversation to design time.
Claude Code is not autocomplete. It reads the repo, drafts the plan, and acts on the real system through MCP — so review happens before merge, not after the incident.
The codebase is the prompt
Claude Code reads your repo, not a snippet. With a 1M-token context window it holds an entire service in view — call sites, types, tests, and conventions — so changes land in your idioms instead of a generic stub.
Review moves earlier
Architecture memos, diffs, and migration plans are produced and read before a line is merged. The expensive conversation happens at design time, where it is cheap to change your mind.
Tooling is first-class
Through the Model Context Protocol and the Claude Agent SDK, Claude Code talks to your build, your test runner, and your internal services directly — so it acts on the real system, not a description of it.
Velocity without ownership drift
Output multiplies, but the senior engineer still signs the PR. We treat Claude Code as leverage on judgment, never a replacement for it — the human who can defend the change is the one who ships it.
We don't hand you a Claude demo. We operate it.
A principal in every session, graders before features, and an SLA-backed pager after launch. The same people who build it run it.
Architect with Claude, ship with humans
A principal drives the session — scoping, reading diffs, rejecting the lazy answer. Claude Code drafts; the engineer who owns production approves. Every PR is defensible on a call.
Graders before features
We write a golden set and LLM-as-judge graders on day one. No Claude-touching path ships without a pass/fail number, and the suite runs on every PR and nightly so a model update can never silently regress you.
We stay on the pager
When the system is live, we keep the runbook current, tune prompts and graders as the world changes, and answer the page under an SLA. You inherit a system you can run — and a team that already runs it.
Four things, all yours, all versioned.
Claude integration
Typed calls to the Messages API or Bedrock/Vertex, prompt modules, fallback policy. Versioned like code.
src/claude/*.tsMCP + tools
Model Context Protocol servers wiring Claude to your build, data, and internal services with typed schemas.
mcp/*.ts · tools.tsEval harness
Golden sets, LLM-as-judge graders, PII and jailbreak guards, regression runs on every PR.
evals/*.jsonl · ci.ymlRunbook + on-call
What to do when latency spikes, a grader red-lines, or a model update lands. Plus the pager rotation.
docs/runbook.mdA change with a grader attached.
Plan, edit, eval, commit — with a hard stop for human review before anything merges. This is the loop on every engagement.
$claude "add idempotency keys to the refund endpoint, with a regression eval"reading repo · 41 files in context (api/, db/, evals/) ...plan: dedupe on Idempotency-Key header → ledger lookup before charge reversaledit api/refunds.ts +38 −6edit db/migrations/0042.sql +12 −0edit evals/refunds.jsonl +9 −0 (replay + double-submit cases)$npm run eval -- refundsgraders: 9/9 pass · double-submit blocked · no double refundnote: principal review required before merge — diff attached to PR$git commit -m "refunds: idempotency keys + eval"committed 8f3a1c2 · CI green · awaiting human approvalIf we can't grade it, we don't ship it.
Claude is non-deterministic; our delivery is not. Every Claude-touching path lands with a measurable bar that runs in CI.
Real inputs from your domain, labelled with the answer you would defend in a post-mortem.
Claude grades Claude against a rubric you sign off on — so quality is a number, not a vibe.
PII, jailbreak, and policy checks run inline. A failed guard fails the build, not production.
The full suite runs on every PR and nightly. A model swap is a code change with a test, not a leap of faith.
The same discipline runs deeper on our AI workflow automation work, and we apply it inside compliance boundaries on sovereign AI for the GCC.
Where to go next.
Hands-on builds: features, migrations, and services shipped with Claude Code at the keyboard.
Claude API integration →Wiring the Messages API, MCP, and the Agent SDK into your product, on Bedrock or Vertex.
Claude agent development →Multi-step agents with typed tools, graders, and guardrails — built to run in production.
What engineering leaders ask before they pick a Claude studio.
The current Claude family — Opus 4.8, Sonnet 4.6, Haiku 4.5, and Fable 5 — chosen per task: a capable model for hard reasoning, a fast one for high-volume paths. All ship with a 1M-token context window, and we write the integration so the model is a swappable dependency, not a hardcode.
No. We are a Claude-native studio: we build on Claude and Claude Code by default and specialise in them, but we are not a member of the Claude Partner Network and make no claim to an official Anthropic relationship. If you need the Partner Network specifically, that program is run by Anthropic directly.
Yes. Claude is available on AWS Bedrock and Google Vertex AI as well as the Anthropic Messages API. We deploy into whichever your cloud, compliance, and data-residency posture requires, and keep the integration portable across them.
Under your DPA and your key management, in your cloud account unless you explicitly ask us to host. Prompts and outputs stay inside your boundary; we wire PII guards into the eval harness so sensitive data is caught before it reaches a model.
Every Claude-touching path has graders, guards, traces, and cost and drift alarms wired to your observability stack. Prompts and tool schemas are versioned in your repo and reviewed like code, so there is an audit trail for every change a model can make.
You do, from day one. The repo, the prompts, the MCP servers, and the eval suite are yours. We leave you a system your own engineers can read, run, and extend without us.
A monthly retainer tied to eval runs and on-call, reviewed quarterly — qualitatively a fraction of the build, scaled to how much you lean on the system. No surprise hours, and you can take operations in-house whenever your team is ready.