solutions · build & engineering capability

Agentic engineering: software shipped by Claude Code, owned by a senior engineer.

Agent workflows write the volume. A senior engineer owns the architecture, reviews every diff, and signs the release. You get production velocity that a traditional team cannot match, without the unreviewed-AI-code risk that sinks most attempts at this.

book a 30-min call the agency version

12,000+ sites shipped · this site built entirely via Claude Code · 91,000-page platform run the same way · every diff senior-reviewed

who this is for

Founders who need production velocity

You need a real product shipped and sustained without a six-engineer payroll. Agent workflows carry the volume; one senior engineer carries the accountability.

CTOs with a legacy codebase

You want AI-driven refactors, test coverage, and migrations at a pace a human team cannot match, but only behind review gates you trust.

Agencies evaluating AI-assisted delivery

You want a working reference for how an agency actually ships with Claude Code, not a webinar. I run one at 12,000+ sites and will show you the harness.

Founders with a vibe-coded prototype

Lovable or Bolt got you a demo that broke on contact with real users. It needs auth, error handling, tests, and an architecture that survives growth.

the stack

  • /01 Claude Code The delivery harness: skills, hooks, memory, and sub-agents tuned per project, so quality is enforced by the pipeline, not by hope.
  • /02 Anthropic API Product features that use AI directly: retrieval, agents, evals, and structured extraction built into your application.
  • /03 MCP servers Tool integrations that survive production: databases, CMSs, analytics, and deployment surfaces wired into the agent workflow.
  • /04 GitHub + CI gates Every agent-written change lands as a reviewed pull request. Lint, tests, and build checks run before a human ever approves.
  • /05 Vercel Preview deployments on every branch, so each change is verified against a running app before it reaches production.
  • /06 Supabase The default data layer: Postgres, auth, row-level security, and storage, with schema owned and reviewed by the senior engineer.

what you get

  • A production application, not a prototype: auth, error handling, tests, and monitoring included
  • Every line reviewed by a senior engineer before merge, with the review trail in the repo
  • The delivery harness itself: CLAUDE.md, skills, hooks, and CI configuration you keep
  • Test suite and eval coverage written alongside the features, not bolted on after
  • Security pass on every boundary: auth flows, RLS policies, input validation, secrets handling
  • Core Web Vitals budget enforced at build time for anything with a public surface
  • Documented architecture decisions so the next engineer, human or agent, has context
  • Handover or retainer: your team takes the harness, or we keep shipping on a monthly cadence

how it runs

  • /01 Guard rails first Before any feature work: CLAUDE.md, project skills, hooks, CI gates, and the test harness. The pipeline that keeps agent output honest is the first deliverable.
  • /02 Agent-driven build Claude Code ships the volume in small, reviewed increments. A senior engineer reviews every diff, owns the architecture, and rejects anything that does not meet the bar.
  • /03 Eval and hardening Test coverage, a security pass across every trust boundary, load checks where they matter, and a Core Web Vitals budget verified against field conditions.
  • /04 Handover or retainer You get the codebase, the harness, and the playbooks. Either your team runs it from here or we keep shipping on retainer with the same review discipline.

proof

the full workflow →

common questions

What is agentic engineering?

Agentic engineering is software delivery where AI coding agents, Claude Code in my case, write the majority of the implementation while a senior engineer owns the architecture, reviews every change, and runs the test and security gates. It is distinct from autocomplete-style AI assistance: the agent works through whole tasks, and the engineering discipline lives in the harness around it, skills, hooks, CI, and review.

Is code written by Claude Code safe to run in production?

Yes, when the pipeline treats it exactly like code from a new senior hire: every change lands as a pull request, passes lint, tests, and build checks, and gets a human review before merge. The failure mode is skipping that discipline, not the tool. Everything I ship this way runs behind the same gates, and the review trail is in the repository for your team to audit.

How is this different from a developer using Copilot or Cursor?

Copilot and Cursor accelerate a developer who is typing. Agentic engineering inverts the ratio: agents work through complete tasks, tests, refactors, and migrations end to end, and the senior engineer spends their time on architecture, review, and the hard decisions. The output per senior hour is several times higher, which is where the cost advantage comes from.

Who reviews the code the agents write?

I do, or a named senior engineer from my team at Seahawk. Never another AI as the final gate. The reviewer owns the architecture document, signs off every pull request, and is the person you talk to on the weekly call. That accountability is the difference between agentic engineering and unsupervised generation.

What does agentic engineering cost compared with a traditional build?

Builds run £8-60k depending on scope, with retainers at £3-8k per month. Against a traditional agency build of equivalent scope you typically save 40-60%, because agent throughput replaces most of the implementation hours while the senior review time stays the same. You get the full breakdown, with the assumptions visible, in the scoping call.

Can you rescue a vibe-coded prototype that broke in production?

Yes, and it is one of the most common briefs. The pattern: audit what the prototype actually does, keep the validated product decisions, then rebuild the foundations, auth, data model, error handling, tests, while preserving the UX your users already validated. Usually faster than patching the generated codebase in place.

the first call

Bring the brief. I will show you the harness that ships it.

Thirty minutes: your product, your codebase if you have one, and an honest read on whether agentic delivery fits. You leave with a price range and a timeline either way.

book a 30-min call next.js + supabase builds