AI-Driven Developer
Complete guide to LLM application development: prompts, context management, RAG, tool use, streaming, prompt caching, structured output, and production best practices with Python and Claude API.
Learn how to build AI-powered automation workflows in n8n: connect Claude/GPT, automate emails, build Slack bots, process data, and create LLM agents — no coding required.
An honest developer’s guide to the best AI coding tools in 2026: Cursor, Claude Code, GitHub Copilot, Codeium, v0, and more — with real use cases and pricing.
Compare LangChain and LlamaIndex side by side: key differences, code examples, and a practical guide to choosing the right Python AI framework for your project.
Hands-on Cursor AI editor review: Tab completion, Agent mode, codebase chat, and .cursorrules explained. Comparison with VS Code + GitHub Copilot, pricing breakdown, and honest verdict.
Build multi-agent LLM pipelines with Python: orchestrator pattern, parallel fan-out, agent handoffs with state. Practical examples using Claude Sonnet and Haiku.
Learn ChromaDB from scratch: create collections, add documents, query by semantic similarity, filter with metadata, and integrate with Claude to build RAG applications.
Build a RAG chatbot from scratch using Python, ChromaDB, and Claude. Load documents, create a vector index, retrieve relevant chunks, and generate grounded answers.
Learn how to build a RAG (Retrieval-Augmented Generation) system from scratch in Python. Covers embeddings, vector search, and generation with Claude API — with a complete working example.