Hryhorii
NikitenkoBubble.io Developer & Vibe Coding / AI Integration Engineer

A focused no-code MVP usually takes 3 to 6 weeks from the first call to launch. Working the vibe coding way - building together with AI - shortens the repetitive parts considerably, so more of the schedule goes into architecture, data structure and testing rather than routine setup.

Yes. Over the past 8 years I have built custom CRM systems, an LMS platform, a CRM and marketplace for real estate, and internal tools with relational databases, role-based access and third-party API integrations. Bubble.io handles production workloads well when the database and workflows are designed properly from the start.

Choose Bubble.io when speed to market and cost matter more than owning the source code: you validate the idea in weeks instead of months and can change the product without a development team. Choose custom code when you need extreme scale, a very specific tech stack or offline-first mobile. Many startups launch on Bubble.io and move to custom code only after the market is proven.

Vibe coding means building together with AI: language models take the first drafts, the repetitive logic and the throwaway prototypes, while I stay responsible for architecture, quality and product decisions. It shortens the road from idea to a working MVP considerably, without trading away reliability.

Yes. I integrate LLM APIs, AI agents and automation into both Bubble.io apps and existing products - text generation, document processing, smart search, chat assistants and AI-driven workflows, including prompt engineering and the workflow design around them.

Yes. I regularly pick up Bubble.io projects started by someone else - auditing the database structure and workflows, fixing broken logic, improving performance and adding new features. The first step is a short audit, so you know what is worth fixing and what is cheaper to rebuild.

Yes. AI-generated apps often work in a demo but break with real users: missing access rules, exposed API keys, duplicated logic. I start with an audit of the code, database and security, then fix what is critical and take the vibe-coded app to production - or recommend a rebuild when that is cheaper.

Through the Bubble.io API Connector and backend workflows: the app sends a prompt with the right context to OpenAI, Claude or another LLM API and saves the response to the database. API keys stay on the server side, and I design the prompts, conversation history and usage limits so AI costs stay predictable.