Claude Code Power User Guide: Skills, Hooks, Subagents
Configure Claude Code beyond defaults: skills, hooks, subagents, and CLAUDE.md memory. Working examples, team patterns, and common setup mistakes to avoid.
Everything Refactix covers across AI and machine learning: generative AI and agents, training and deploying models on your own data, and putting AI to practical use in everyday work. AI is more than LLMs, and the guidance here spans the whole space, focused on what holds up in production rather than the hype.
Configure Claude Code beyond defaults: skills, hooks, subagents, and CLAUDE.md memory. Working examples, team patterns, and common setup mistakes to avoid.
How to use LangGraph for stateful AI agents that branch, loop, retry, and pause for human approval, with code for state, cycles, and checkpointing.
Build autonomous AI agents for CI/CD with LangGraph: code review, test generation, security analysis, and deployment decisions, with the operational patterns that keep them honest.
Working code for building multimodal apps with GPT-4o and Gemini, covering image analysis, document processing, visual debugging, and design-to-code.
How to build AI agents with LangChain that hold up in production: architecture, memory, tool integration, and deployment patterns, with working code.
How GitHub Copilot, Cursor, and Claude actually compare for day-to-day coding work. Setup, productivity numbers, ROI math, and where each tool falls down.
How to build AI assistants with persistent memory that learn your business patterns over time, so your team stops re-explaining the same context every session.
How to build autonomous AI agents with LangChain: agent architecture, tool integration, memory, and what holds up when you actually deploy them.