Why enterprises need more than vibe coding, and how Rappit delivers
Moving from hype to enterprise-grade innovation
The AI development world has been buzzing with talk of “vibe coding”, the ability to build software simply by describing your intent in natural language. Tools like Lovable have popularized this “prompt-to-app” concept, making app creation feel conversational and intuitive. But for enterprises, the question remains: can vibe coding deliver business-critical systems that are maintainable, secure, and scalable?
At Rappit, we believe the future of enterprise software isn’t about joining the vibe coding hype, it’s about moving beyond it.
Rappit combines the creativity and flow of vibe coding with the discipline, governance, and reliability that enterprise-grade systems demand. Our AI-led platform bridges the gap between rapid prototyping and production-scale engineering, ensuring every generated line of code is powerful, traceable, and maintainable.
What vibe coding gets right
At its core, vibe coding, first introduced by Andrej Karpathy, is a conversational approach to development. Instead of writing code line by line, users describe what they want to build, and the AI generates the working code. This unlocks creativity, lowers technical barriers, and accelerates prototyping. It makes “building software by talking” a real possibility and has inspired a new wave of experimental tools in early-stage development.
For fast prototypes or “throwaway weekend projects,” this works incredibly well. Users can spin up ideas in minutes and iterate quickly through prompts. It’s the purest form of democratized development. Coding by intent.
Why pure vibe coding breaks at enterprise scale
Enterprises, however, live in a different reality. They require systems that are resilient, compliant, and extensible. Pure vibe coding’s prompt-based generation model introduces three major hurdles:
- Ambiguous intent = unpredictable results
Software specifications are rarely static. When AI interprets vague or incomplete intent, it can generate code that meets the words but not the real business need, amplifying hidden specification gaps and functional blind spots. This is particularly relevant when developing larger core systems where many different process owners need to work together to explain their piece of the puzzle and the system should cater for all these different and sometimes conflicting scenarios.
- Hidden complexity and risk
AI-generated code without inspection creates black-box systems. The moment enterprises lose visibility into logic and structure, governance collapses. The result? Invisible technical debt, security weaknesses, and scalability limits that surface only after deployment.
- Maintainability and ownership challenges
When developers can’t interpret or evolve what the AI builds, maintenance grinds to a halt. What began as accessible innovation becomes citizen-developed shadow IT, fast to start and costly to sustain.
As Google’s Addy Osmani put it, this is the “70% problem”: getting to a working prototype is easy, but the last 30% (testing, scaling, securing, and maintaining), is what makes software enterprise-grade.
The Rappit approach: beyond vibe coding
Rappit takes the best of vibe coding (its intent-driven creativity and flow) and builds upon it with structured, AI-led engineering discipline. Our platform orchestrates development through an AI-guided, human-validated lifecycle, ensuring applications are not only generated quickly but are built to last.
Here’s how it works:
- From prompt to precise specification
Users start conversationally by describing goals, sharing screenshots, or uploading functional specs. The AI transforms these into structured development artifacts (data model, business rules, workflow model, UI models ), rather than directly generating random code.
- Human-in-the-loop validation
Every AI interpretation is reviewable. Teams validate, adjust, and approve specifications before generation, ensuring integrity and intent are aligned with enterprise objectives. This is particularly relevant for larger core applications, when collaboration between different process owners is key.
- Deterministic code generation
Only once intent and logic are validated does Rappit’s engine produce deterministic code, including the generation of automated test scripts for validation of what has been generated. This means the resulting applications are clean, secure, and fully traceable. Developers own the output, can refactor it, and understand it.
- Continuous evolution with governance built-in
Rappit’s platform embeds architectural consistency, compliance, and collaborative workflows, enabling IT and business teams to co-create safely, together with AI, evolve applications iteratively, and deploy confidently. Rappit also links with code quality tools for validating secure and best-in-class code.
Why Rappit’s AI-led development matters
Rappit doesn’t just generate applications, it redefines how enterprises develop them. Our platform accelerates development while preserving everything vibe coding sacrifices:
- Productivity with precision: Speed from conversational development without sacrificing structure.
- Governed collaboration: Business and IT teams code together under auditable guardrails.
- Scalable architecture: Every application is enterprise-ready by design, not an AI experiment.
- Traceable output: Deterministic code that teams can maintain, extend, and trust.
By weaving intent capture, model-driven validation, and secure generation into one AI-led workflow, Rappit provides a new middle ground, the creativity of vibe coding, grounded in the rigor of enterprise software engineering.
In a nutshell
It’s time to move beyond vibe coding.
Forget prompt-driven prototypes that vanish after a demo. With Rappit, enterprises can embrace AI development that is fast, compliant, and sustainable.
Build the future of enterprise software, not just code that “feels right,” but applications that perform, scale, and evolve with your business.
AI-led development. Human-validated intelligence. Enterprise-grade by design.
That’s the Rappit way.
