- 1Write down the domain rulesCustomers, the workflows that make money, what done means for each, and what must never change.
- 2Move the code into a repo you ownSync the builder project to GitHub so changes go through branches and pull requests.
- 3Test the candidate on your codeAsk them to review a piece of the AI-written code and to turn a scenario into acceptance criteria.
- 4Run a paid trial on one bounded pieceOne module, a written acceptance test, no production secrets, review before merge.
- 5Widen access step by stepStart with the lowest repository role that lets them do the work, then raise it as trust grows.
Graphic: Vibecode Beratung · Based on the sources below
You built the product yourself, mostly with AI tools, and it works. Customers pay. But every hour you spend prompting features is an hour you do not spend selling. So you start looking for your first engineer, and you hit a wall: explaining what you need seems to take longer than building it yourself.
That exact dilemma was the subject of a busy discussion on Reddit. A solo founder without an engineering background described a B2B product in financial services with more than 230 paying users, built almost entirely with AI over about two years. Several earlier employees and contractors had not worked out, and the founder found it easier to build with AI than to brief people. The question was whether to take on a full-time developer and a large recruiter fee, or keep going alone. The replies contain a useful pattern for anyone in the same position.
SEV-1: The knowledge lives only in your head
Several commenters made the same point: if you have to explain everything every time, the problem is not the developers. You are the specification. Nothing about the product exists in writing, so every handover starts from zero.
The fix comes before any hiring. Write down who the customer is, the handful of workflows that make money, what “done” means for each, and what must never change. One commenter suggested recording a walkthrough of a feature and transcribing it. In a domain such as financial services, list the rules a new developer must know before they can ship anything alone.
Imagine a SaaS founder whose billing logic depends on three regulatory rules that exist only as prompts in Lovable’s chat history. A new engineer cannot learn those rules from the code. Write them down first.
SEV-1: The code is not in a place you can share safely
By default, a Lovable project’s code is stored and managed inside the Lovable platform. Lovable’s GitHub integration syncs it to your own repository, so you get a copy you control, changes reviewed in pull requests, work on branches and the option to deploy outside Lovable. The sync runs both ways, and Lovable edits one branch at a time. Only workspace or project owners and admins can connect a project to a repository.
Do this before anyone joins. Without a repository, there is no history, no review step and no clean way to give limited access. If your keys are spread through the codebase, read how to find and rotate exposed API keys first.
SEV-2: Full access on day one
The thread raised a real worry about intellectual property. One answer was practical: most of the risk comes from handing over everything at once. Keep the core logic and data model close, and give a new person one well-bounded module at a time.
GitHub’s repository roles support this. From least to most access they are Read, Triage, Write, Maintain and Admin. Write is meant for people who push code. Admin also covers sensitive and destructive actions, such as managing security or deleting the repository. GitHub also warns that anyone holding the private half of a deploy key keeps access to the repository even after being removed from the organization, so check for deploy keys when people leave.
SEV-2: Hiring the role before you know the job
One reply put it plainly: the real cost is a full-time hire before you know what the job is. The alternative suggested by several people is a paid trial on one real, contained piece of work, such as hardening the billing flow or adding regression tests. Give it a written acceptance test, keep production secrets out of reach and review the code before it merges.
Two interview ideas from the discussion are worth copying. Ask the candidate to review a chunk of your AI-written code and say what they would fix. And give them an anonymized customer scenario and ask for acceptance criteria before any code. This tests whether they can turn your domain knowledge into a specification.
Also run the numbers on the weak revenue case, not the optimistic one. One commenter noted that a new engineer in a niche with many domain rules will need months before adding value, partly because of refactoring and cleanup in AI-generated code. Whether to clean up or rebuild is its own decision, covered in refactor or rewrite.
What this means for your project
Your first engineering hire is less about finding a great developer and more about making your product handable. Before you pay a recruiter, check three things: the domain rules are written down, the code lives in a repository you own with staged access, and you have one bounded task that can serve as a trial. If the code itself is fragile, an AI code rescue or a production-readiness review shows what kind of engineer the next phase actually needs.
The commenters disagreed on whether to hire now or later. They agreed that a hire does not solve the time problem if you remain the only person who can explain the product.
Not sure what your codebase needs before someone else takes it over? Book a free intro call and describe your app, and you will get an honest view of the next step.
Frequently asked questions
When should a non-technical founder hire a first developer?
When the time you spend building blocks growth and you can survive the weak revenue case with the extra fixed cost. If the worst case leaves too little runway, a bounded contract or a paid trial is the safer first step.
Why is it hard to hand an AI-built product to a developer?
The requirements often live only in the founder's head and in old prompts, not in documents or tests. The new developer also has to read code they did not write and that nobody reviewed line by line.
How can I test a developer before hiring them full time?
Give them one contained piece of real work with a written acceptance test, keep production secrets out of reach and review the code before it merges. Asking them to review part of your AI-written code also shows how they think.
What GitHub access should a new developer get first?
The lowest role that lets them do the job, usually Write for someone who pushes code, not Admin. Admin includes sensitive and destructive actions such as managing security settings or deleting the repository.
Does my Lovable code belong in my own GitHub repository?
If you plan to work with developers, yes. By default the code is managed inside Lovable, and GitHub sync gives you your own copy plus branches, pull requests and the option to deploy elsewhere.