AI challenge

We want to build software ourselves with AI tools, but start off right technically

Building yourself with AI can go incredibly fast. That's exactly why it's smart to get the foundation right early. We handle the senior engineering part that AI coding tools don't automatically protect you from. Then you carry on.

Does this sound familiar?

This fits teams and entrepreneurs who deliberately want to build themselves, but know that a good start prevents a lot of technical misery later.

  1. With AI you can already do a surprising amount yourself

    Building features is no longer the biggest hurdle.

  2. Architecture feels harder

    Stack, data, auth and project structure require choices whose impact only becomes visible later.

  3. The product has a serious purpose

    This is no throwaway experiment, but software that will affect real users or business processes.

  4. You don't want a traditional agency model

    Ideally you build on yourself afterwards and only bring in senior engineers where it's really needed.

Where do you want to be?

You want to keep the speed and autonomy of vibe coding without needing a technical rescue operation later.

A good technical foundation

Stack, architecture, repository, data and deployment have a clear structure from the start.

Guardrails for AI coding tools

Tests, conventions and project instructions give coding agents better feedback while building.

Then carry on yourself

The setup is specifically meant to avoid day-to-day dependency on 9to5.

Why does this happen?

AI lowers the cost of writing code, but not automatically the cost of bad technical choices.

See how we approach this

AI optimises locally

A coding agent solves the current task, but doesn't guard the product's architecture for years by itself.

Bad patterns scale faster

Once something is in the codebase, AI can repeat it in more places at lightning speed.

The hard foundational parts come early

Auth, deployment, databases and environments are less visible than features, but fundamental.

Why 9to5 for this?

This offer follows exactly the principle of 9to5 software: build yourself where you can and bring in senior engineering where it's needed.

View cases

No permanent development capacity

The handover is part of the result, not the start of a retainer.

AI tools are part of the way of working

We deliberately design the codebase so Claude Code, Codex, Cursor and similar tools can work well in it.

A rescue remains possible later

If you do get technically stuck somewhere months later, we can step in again in a targeted way.

What else fits your situation?