Vibe Coding Support

The distance between a working prototype and a system a business can run on is its own body of work. It begins with an assessment of what the AI-generated application gets right and what will not hold up under real use. From there it covers rebuilding the data foundation so records stay accurate as volume grows, setting up controlled access so the right people see the right information, connecting the application to the systems the business already uses, and putting testing and release practices in place. Hosting, monitoring, and support are settled before launch rather than after. The original idea and the workflow it proved carry forward. The work usually also includes standards and review habits for the team, so their next prototype starts closer to something the business can rely on.

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AI Integration

AI that learns your workflow, instead of a workflow that bends to the AI.

The practice of embedding artificial intelligence tools into an organization's existing systems and workflows. It involves analyzing business processes, selecting appropriate models or platforms, and connecting them to data, applications, and decision logic, producing operational systems with built-in intelligence.

Vibe Coding Support

Recommendation Engine Development

Python Development

Workflow Automation

Retrieval Augmented Generation (RAG) Configuration

n8n Consulting

Custom MCP Development

AI-Enhanced Systems

Consulting

Model Context Protocol

Large Language Model (LLM)

Rails

Python

JavaScript

n8n

Claude Cowork

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Prototyping

Your vision and design come to life in a prototype. And excitement builds! Cool stuff!

A method used in order to demonstrate the appearance, concept, and functionality of a new app. It should be close enough to the final product that it can be shown to would-be investors and the like.

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System Audit

Sluggish systems lead to sluggish profits. Don't let this happen. Find issues before they occur.

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SOLID Principles

Federico Ramírez 6 months ago

The SOLID principles improve code durability, flexibility, and scalability by emphasizing clear responsibilities, ease of change, and strong design. Each principle—Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion—contributes to manageable systems where changes don't adversely impact unrelated components, thus promoting maintainable and resilient code.