FAQ
Frequently asked questions about our AI & Vibe Coding approach
We talk about AI every day — what is different today?
The capabilities of LLMs have evolved significantly. Since early 2025 a major step forward has appeared: LLMs now have real reasoning capabilities.
- Before 2025: models could generate syntactically correct code but often made logical errors.
- Today: LLMs can follow a chain of thought and produce code that is reliable, coherent and functional.
👉 This evolution fundamentally changes what AI can do for software development.
Why is it hard to code with AI?
In our experiments, AI "errors" were usually due to ambiguities or missing instructions. The approach starts from this observation: AI codes very well, but prompts are often incomplete or ambiguous. The goal is therefore to be exhaustive in the instructions given to the AI.
Gains plateau at 25% — can we do better?
AI is often used as assistance to development teams, delivering around a 25% productivity gain. This is paradoxical compared to AI capabilities: one would expect much larger gains.
To achieve productivity gains of another order (x2, x10, ...), you must change the approach. Your ability to understand customer needs and provide relevant answers will become the limiting factor — you might have an army of AI-generated developers, but the business knowledge, data and proximity to the customer will determine competitiveness.
Why do we see so much disappointment with AI?
Because people expect more from AI than from a developer while it still operates "in the blind".
- AI does not test its own code.
- Instructions are often ambiguous or incomplete.
- Integrate the full process (design, code, compile, test).
- Write clear and precise specifications.
- Understand AI strengths and limits.
Intellectual property: will AI reuse my know-how?
No. Data confidentiality is guaranteed by major AI providers: data is not used to train their models. Our platform uses ChatGPT via API according to usage conditions that protect customers' data. Open-source models will complement this in future.
Can AI really code a whole application?
Yes, provided the application is broken down into modules and a clear method is applied. Long monolithic specifications are hard to process for AI (the "Needle In A Haystack" problem). A modular approach produces complete and coherent deliverables.
How is this different from Vibe Coding?
Business applications are built from specifications, not from a single chat. We combine Vibe Coding with a RAD (Rapid Application Development)approach to industrialize the process for enterprise needs.
What will be the Product Owner's role tomorrow?
Product Owners will have a central role: writing Product Requirement Documents (PRDs) — structured techno-functional specifications (business needs + APIs + data structures). AI will help generate code from these, but the quality of PRDs remains crucial.
What about developers' role?
Developers remain essential to:
- Define architecture, methods and tools.
- Handle tasks AI cannot do (critical modules, UX).
- Industrialize, finalize and validate the remaining 20%.
- Ensure security, quality and maintainability.
Is AI suitable for all projects?
AI is particularly effective for business applications: it excels on business rules, but is less strong on advanced UX and highly specific or critical algorithms.
How to guarantee coherence of an AI-generated application?
The method is the key: define by design a plan, a design system, reusable building blocks and stable APIs, and wrap AI with precise instructions and tools.
How to ensure code quality?
By applying Test Driven Development, coding rules, linters and CI/CD with tests and reviews.
How to stabilize APIs?
By embedding APIs in the specifications (business rules, contracts, versions, constraints).
How to stabilize UX?
UX stability relies on design system, layout, reusable components and user journeys — an approach we call "UX by design".
Common misconceptions
- "Vibe Coding is for simple cases only" → False.
- "With Vibe Coding you don't need methods" → False.
- "Developers will disappear" → False.
- "You can do everything with AI" → No.
- "You must choose between AI and classic dev" → False.