Byte Sized Examples
Step-by-step technical tutorials with companion code from our Byte Sized Examples GitHub repo
Step-by-step technical tutorials with companion code from our Byte Sized Examples GitHub repo
Learn how to build professional-grade Claude Code skills from scratch. This hands-on guide walks through the complete lifecycle — from understanding the Agent Skills spec to writing a Scrum Master skill with progressive disclosure, validating it, and submitting a PR to the official anthropics/skills repository.
Build a conversational AI chatbot that runs in your terminal. This beginner-friendly guide walks you through TypeScript setup, Anthropic API integration, conversation history, and streaming responses — no prior AI experience required.
Build a production Chrome extension that tracks OpenAI, Anthropic, and Google AI API costs in real-time. Complete guide covering request interception, token counting, cost calculation, Chrome storage, and analytics dashboards with 100% test coverage.
Build an MCP server that gives AI agents the power to send realtime messages through Pusher Channels. Step-by-step TypeScript guide covering tool design, Pusher REST API integration, and Claude Desktop configuration.
Build production-ready MCP servers with TypeScript - complete guide covering architecture, testing, deployment, and enterprise patterns for AI tool integration with Claude and other LLM platforms.
Build production-grade AI code review agents that automatically analyze pull requests for security vulnerabilities, code quality issues, and architectural concerns using Claude API integrated with GitHub Actions workflows.
Step-by-step guide to building a production-ready agentic AI system with tool calling, error handling, rate limiting, and observability. Includes complete working code and GitHub repository with TypeScript implementation using Claude API.
The Model Context Protocol ecosystem had a critical gap: no simple, production-ready testing framework. Learn why we built @crashbytes/mcp-test-kit and how to test your MCP servers properly with automated testing, CI/CD integration, and regression protection.
Learn to build production-ready AR navigation systems with spatial mapping, pathfinding algorithms, gesture detection, and real-time rendering—the technologies powering Google's Android XR and Meta's Ray-Ban Display glasses.
Learn how to measure enterprise AI productivity with quantifiable metrics, calculate true ROI beyond simple time savings, and build automated tracking systems that prove business value to skeptical stakeholders.