Claude Code in CI/CD: headless patterns for real pipelines
Running Claude Code in CI/CD without the surprise bills. Headless flags, JSON output parsing, cost controls, and the failure modes nobody writes about.
The full Refactix library of AWS and AI engineering guides, grounded in real production work.
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.
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 get AWS Lambda cold starts under 100ms with SnapStart, smarter runtime choices, smaller packages, and provisioned concurrency without blowing the budget.