Agents 7 min
MCP Servers: Giving Your AI Coding Agent Real Tools
How to extend your AI coding assistant with Model Context Protocol servers — connecting it to your database, APIs, and custom tools in about ten minutes.
Josh
[ Index ]
Articles
Page 04 / 04
Production 7 min
Writing Tests with AI: Getting Edge Cases, Not Just Coverage
How to prompt AI coding assistants to generate tests that actually catch bugs — edge cases, failure modes, and boundary conditions, not just happy-path boilerplate.
Josh
Tooling 7 min
Managing Context in Long AI Coding Sessions
How to keep AI coding assistants accurate across a long feature branch — when to trim, reset, and summarize context so the model stays focused.
Josh
Tooling 6 min
Debugging with LLMs: Give the Model What It Can't Guess
How to structure debugging sessions with an AI assistant — what runtime context to share, how to frame the problem, and how to verify a diagnosis before patching.
Josh
Production 6 min
Evaluating AI-Generated Code Before It Ships
A practical checklist for reviewing AI-written code — catching hallucinated APIs, subtle logic bugs, and security gaps before they reach production.
Josh
Prompt Engineering 3 min
Prompt Engineering Patterns That Survive Production
Five battle-tested prompting patterns — structure, examples, decomposition, self-checking, and output contracts — that hold up when real traffic hits.
Josh
RAG 3 min
RAG vs Fine-Tuning: How to Actually Choose
A practical decision framework for when to reach for retrieval-augmented generation, when to fine-tune, and when to do neither — with the trade-offs that matter.
Josh
Agents 4 min
Build Your First AI Agent in TypeScript
A from-scratch walkthrough of the agent loop — tools, reasoning, and termination — using the Claude API and plain TypeScript. No frameworks.
Josh