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AI Coding

AI coding with Claude Code and OpenAI Codex

We help European founders accelerate software development with the most powerful AI coding tools — faster, and built to last.

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Who's it for

Founders building something new

You have a defined product to ship. We build it in Next.js and Supabase, using Claude Code and Codex to move faster — without dropping production grade quality.

Founders past the prototype stage

You used AI tools to build something real. Now it's time for production code, senior engineering, and AI native engineering practices to take it the rest of the way.

Founders who need to accelerate

We help you ship faster using Claude Code, Codex, and AI native engineering practices — part of how we work on every project.

Founders migrating legacy technology

Moving off older code? AI assisted development means we can rebuild and migrate faster — without your live business going down.

What we offer

We use Claude Code and OpenAI Codex to build modern web apps faster than traditional dev teams — while keeping the code maintainable, testable, and ready for real users.

AI doesn't replace good engineering — it accelerates it. We practice what's becoming known as agentic engineering: AI agents handle the implementation, senior engineers own the architecture, code review, and testing. The codebase stay maintainable, without building tech debt that slows you down.

What you'll get

Faster software development

Claude Code and Codex help us turn scope into shipped features faster, sometimes 2–3x faster than a traditional development teams, without dropping quality.

Less repetitive work, more thinking

Codex & Claude Code handle the repetitive parts of coding. Our team focuses on architecture, design decisions, and the parts that need human judgment.

Clean, maintainable code

We never ship code we don't understand. AI accelerates the work, but every change is reviewed, tested, and owned by a senior engineer — not the prompt that generated it.

AI native engineering practices

We have built our entire development workflow around Claude Code and Codex: code review, prototyping, refactoring, testing. It's how we work, not a side experiment.

Why use Claude Code and Codex?

Lovable, Bolt, and Base44 are great at turning a prompt into a working demo. But the output isn't always code a senior engineer would ship — let alone maintain in production.

Claude Code and OpenAI Codex are built for engineers, not just prompters. We produce reviewable, testable, version controlled code. We use them because that is how high quality production software actually gets built today.

Our AI Coding development process

Scoping & prototyping

We turn your idea into a clear plan and usually build a working prototype alongside it. Claude Code and Codex let us move fast — you see real software in days, not months.

Sprint based development

A senior team builds in short sprints, using Claude Code and Codex to ship fast — with code review and testing on every change. You always know where things stand.

Quality assurance & testing

Every AI workflow is tested for accuracy, edge cases, and performance — we make sure Claude and Codex behave predictably in production.

Launch & support

We launch with you — and stick around. Most clients become long-term partners: we iterate, support, and evolve the software as the business grows.

You have questions?

We have answers

Why use AI in my product at all?

AI handles the tasks that don't need a human — classification, summarization, search, generation, routing. It makes your product faster for users and cheaper to operate at scale.

Does AI Coding make my project cheaper or faster?

Faster — usually significantly. Cheaper isn't guaranteed: we still charge for senior engineering, architecture, and review, which is where most of the value sits. AI accelerates the build; it doesn't replace the engineering.

How do you ensure the code is production-ready?

AI-generated code is only as good as the engineers reviewing it. With proper code review, automated testing, and senior oversight, the output is production-ready and maintainable. Without those guardrails, it's technical debt waiting to bite you. We don't ship code we don't understand.

What's the difference between AI coding and "vibe coding"?

Vibe coding means prompting an AI and shipping whatever it generates — no review, no tests. Fine for prototypes, risky for production. We practice agentic engineering: AI handles implementation, senior engineers own the architecture, review, and tests.

How is this different from using Cursor or GitHub Copilot?

Cursor and Copilot are great for individual developer productivity — they autocomplete and suggest code as you type. Claude Code and Codex are agentic — they can plan, execute, test, and refine work autonomously under our oversight. That's how we deliver entire features faster, end-to-end.

Can you take over an AI-built prototype and turn it into real software?

Yes — this is one of the most common ways founders come to us. We audit what's there, identify what's salvageable, and rebuild what needs to be production-grade. You don't lose the work you've already done; you build on it.

Let’s get in touch

Ready to build your product?

Turn your concept into clarity.
Let’s define exactly what you need to build to succeed.