Vibe coding AI
You've sold the MVP. Now it has to hold up.
You built your MVP with vibe coding — you may even have sold it to several clients — but now you don't know how to make it solid, scalable, secure and maintainable.
That's where we come in: we review the code, architecture, data, hosting, security, performance, tests and deployment flows. AI stays an accelerator, but the project goes back to being governed by clear technical decisions.
That's where we come in: we review the code, architecture, data, hosting, security, performance, tests and deployment flows. AI stays an accelerator, but the project goes back to being governed by clear technical decisions.
For MVPs already sold
- Moving from a working prototype to a more stable product.
- Refactoring generated code, dependencies, APIs, database and permissions.
- A technical roadmap for scaling without blindly rewriting everything.
For universities and research
- Workflows for prototypes, proofs of concept and internal tools.
- Repeatable prompts and technical contexts for labs and working groups.
- Clear documentation to get from experiment to maintainable software.
For company teams
- Controlled use of AI coding inside real repositories.
- Rules for tasks, branches, review, tests and releases.
- Less repetitive work on CRMs, ERPs, apps, portals and automation.
For custom software
- Requirements analysis before any code is generated.
- Architecture, APIs, database, security and performance under control.
- Integration with existing systems, ERPs, CRMs, hosting and pipelines.
For agencies and partners
- Technical support on projects that need more than standard development.
- Components, automation and internal tools built with technical review.
- A shared method that avoids beautiful but unmanageable prototypes.
What we build
We shape concrete tools, not just demos.
We can work on assisted editors, technical content generators, data analysis tools, internal apps, CRMs, configurators, document automation, control systems, API integrations and prototypes that need to become stable software.
We can work on assisted editors, technical content generators, data analysis tools, internal apps, CRMs, configurators, document automation, control systems, API integrations and prototypes that need to become stable software.
Context before the prompt
We gather requirements, constraints, stack, data, roles and risks before letting AI produce code.
We gather requirements, constraints, stack, data, roles and risks before letting AI produce code.
Reviewed code
Every meaningful output is read, tested and adapted by developers, not pasted into production.
Every meaningful output is read, tested and adapted by developers, not pasted into production.
Tests and documentation
We define minimum tests, edge cases, operating instructions and documentation useful to whoever maintains the project.
We define minimum tests, edge cases, operating instructions and documentation useful to whoever maintains the project.
Governance
We set rules on data, access, privacy, security, repositories and responsibility for generated code.
We set rules on data, access, privacy, security, repositories and responsibility for generated code.
From generated code to a real product
The critical step isn't making a screen appear. It's making the software work as users, edge cases, data, permissions and responsibilities grow.
We can work on authentication, roles, database, code review, logging, backups, hosting, APIs, CRM integrations, performance, privacy, security and release procedures. The result shouldn't just "run": it has to be usable, sellable and maintainable.
We can work on authentication, roles, database, code review, logging, backups, hosting, APIs, CRM integrations, performance, privacy, security and release procedures. The result shouldn't just "run": it has to be usable, sellable and maintainable.
When to choose BitHub
- You have a vibe-coded MVP that works, but the code isn't ready to grow.
- You have a real software project and want to use AI without losing technical control.
- You want to train a team on AI coding workflows applied to real repositories and cases.
- You need prototypes that can evolve into maintainable tools.
When we're not the right fit
- If you're only after a list of generic prompts to copy.
- If you want to ship generated code with no review, tests or technical accountability.
- If the project's goals, data or processes aren't clear enough yet.
Frequently asked questions
Does vibe coding replace developers?
No. On serious projects AI speeds up analysis, scaffolding, refactoring, tests and documentation, but you still need technical judgement to decide what is correct, secure and scalable.
No. On serious projects AI speeds up analysis, scaffolding, refactoring, tests and documentation, but you still need technical judgement to decide what is correct, secure and scalable.
Can you fix an MVP already built with AI?
Yes. First we analyse the repository, stack, dependencies, data, security and commercial goals. Then we decide what to consolidate, what to rebuild and what to leave as it is.
Yes. First we analyse the repository, stack, dependencies, data, security and commercial goals. Then we decide what to consolidate, what to rebuild and what to leave as it is.
Is it suitable for universities and labs?
Yes, above all when research, experiments or prototypes need to become tidier, documented, reusable tools.
Yes, above all when research, experiments or prototypes need to become tidier, documented, reusable tools.
Does it integrate with CRMs, ERPs and apps?
Yes. We can connect it to custom software, ERPs, portals, apps, APIs and business systems when the use case calls for it.
Yes. We can connect it to custom software, ERPs, portals, apps, APIs and business systems when the use case calls for it.
Want to work out where AI can genuinely speed up your development?
We start from the repository, the process, the goals and the constraints. Then we decide together whether you need training, a prototype, an internal workflow or custom development.
Let's talk
We start from the repository, the process, the goals and the constraints. Then we decide together whether you need training, a prototype, an internal workflow or custom development.
Let's talk