/dev:dev-ai-integration
Integration of language models (LLM) and AI APIs into applications.
Integration of language models (LLM) and AI APIs into applications.
Create or document REST, GraphQL, or tRPC endpoints, with a versioning strategy.
Generate a complete UI component — or a custom React hook — with tests, types and documentation.
Methodical and systematic bug diagnostic and resolution.
Creation and maintenance of design systems and component libraries.
Generation of professional documents in various office formats.
Implements a robust and consistent error handling strategy.
Create Flutter widgets, screens and features with Clean Architecture.
Guide for creating quality MCP (Model Context Protocol) servers.
Create and configure Neovim plugins, LSP, keymaps and features in Lua.
Configuration and usage of Prisma ORM.
Design and implementation of RAG (Retrieval-Augmented Generation) systems.
React/Next.js performance optimization based on rules prioritized by impact.
Code refactoring with behavior preservation and quality improvement.
Configure and use Supabase as a backend (Auth, Database, Storage, Realtime, Edge Functions).
Implements a feature by following the TDD (Test-Driven Development) cycle.