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Production products, shipped in weeks. Built with Claude Code.

Not AI hype. A real engineering method: specs first, Claude Code implements, a senior engineer gates every line on auth, money, and security.

Three of our own products prove it. They are in production. Open them and check.

Fast because the method is real, not because we cut corners.

The reason most AI-built software is unsafe is that nobody specs it and nobody reviews it. We do both. The AI removes the typing bottleneck. The senior engineer keeps the standards.

Spec first

Every feature gets a written spec before any code exists. The architecture, the data model, the edge cases, the auth boundaries. The spec is the contract.

Claude Code implements

Claude Code builds against the spec, driven by our own ecosystem of 20+ custom skills that handle scaffolding, tests, PR review, and security scans. The AI does the typing.

A senior engineer gates every line

An engineer with 10+ years reviews everything, with hard gates on auth, money handling, and security. The judgment stays human. Nothing ships unreviewed.

AWS-native, production-grade

The same serverless stack and standards we use for client work: Lambda, DynamoDB, EventBridge, Terraform, real test suites, real CI. A team’s six-month build, shipped in weeks.

Three products. In production. Built this way.

Not slides. Real products with real users, each shipped in days or weeks.

All case studies

CostPatrol

AWS cost anomaly detection SaaSShipped in ~2 weeks

Scans AWS accounts daily across 123 rules over 30 services, flags anomalies within 24 hours, and delivers the exact fix command with a dollar amount to Slack. Serverless on Lambda, DynamoDB, SQS, and EventBridge. Stripe billing, CloudFormation onboarding in 5 minutes, read-only access.

Public scans show $284 to $6,496/mo in savingsRead the case studycostpatrol.io

VowTrust

Institutional deal verification platformWeeks, not the usual six months

Dual-mode verification for banks, lawyers, and SMEs. Express runs six parallel compliance checks across five providers in 15 to 45 seconds and scores 0 to 100. Institutional puts human mediators in role-based, invite-only deal rooms. Strict lifecycle state machine, immutable audit trail, exportable certificates. Next.js, Lambda, PostgreSQL, Terraform.

1,000+ TypeScript files, built soloRead the case study

Boody

AI nutrition coach on WhatsApp and TelegramConcept to live users in 3 days

A self-hosted Qwen3-VL 32B vision model reads food photos and returns calories, protein, and a normalized name. Ollama on local Apple Silicon for the pilot, vLLM on cloud GPUs in production. A 4-layer memory system (SQLite, LanceDB embeddings, weekly AI coach notes, recent context) makes it feel like a real coach. Roughly $0.001 per interaction versus $0.01 to $0.05 for API-based competitors.

27 modules, 250+ automated tests, live pilot usersRead the case study

Questions a skeptic asks.

Do you actually use AI to write the code?

Yes. Claude Code implements against a written spec, and a senior engineer reviews every line with hard gates on auth, money, and security. The AI does the typing. The architecture and judgment stay human. This is how CostPatrol, VowTrust, and Boody were built.

Is AI-generated code production-safe?

It is when it is specs-first and human-gated. All three of our products run in production with real users. VowTrust handles institutional deal verification with an immutable audit trail. Boody ships with 250+ automated tests. The method is the safety, not the tool alone.

How do you ship a six-month build in weeks?

Specs-first design, Claude Code for implementation, a 20-skill review pipeline, and a senior engineer who has shipped production AWS systems for 8+ years. The AI removes the typing bottleneck. The engineer keeps the standards. VowTrust is the clearest example: 1,000+ TypeScript files, built solo, in weeks.

What is Claude Code?

Claude Code is Anthropic’s agentic coding tool. We built a custom ecosystem of 20+ skills on top of it for scaffolding, tests, PR review, and security scans, tuned to our AWS and backend stack. It is how we deliver production software in weeks instead of months.

Can you build my product this way?

Yes, if it has clear outcomes. We work best on AWS backend, infrastructure, and full-stack delivery for scale-ups and mid-market teams. The 48-hour diagnostic is free. Paid sprints start at $8K with scope and timeline agreed in writing, and scope-or-refund.

Which of your own products were built with Claude Code?

CostPatrol, an AWS cost anomaly detection SaaS. VowTrust, an institutional deal verification platform with dual-mode automated and human-mediated verification. Boody, an AI nutrition coach on WhatsApp and Telegram using a self-hosted LLM. All three are in production and openable.

Have something to ship?

15-minute call. No pitch. We will tell you honestly whether this method fits what you are building.