The full Refactix archive. Hands-on writing on AI-driven development, cloud infrastructure, and modern software architecture.
Running Claude Code in CI/CD without the surprise bills. Headless flags, JSON output parsing, cost controls, and the failure modes nobody writes about.
Claude Code subagents run parallel AI work without context chaos. Config, dispatch patterns, model choice, and the mistakes that waste tokens, with examples.
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.
How emotionally intelligent AI tools catch burnout signals early in distributed teams. Honest guide to the tools, what they actually do, and how not to turn them into surveillance.
How WhatsApp's built-in AI summarization works, when it's good enough, and when to layer n8n or CrewAI on top for weekly team reports.
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.