Introduction The quality of AI-generated code doesn’t start with the prompt — it starts with the plan. If you’ve ever fired a vague request at an AI agent and wondered why the output missed half your requirements, the problem wasn’t the model. It was the lack of context, constraints, and edge cases you gave it…
AI coding isn’t “prompt and ship.” Learn the real workflow AI engineers use: plan with PRDs, review AI code, and QA before release.
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I asked Claude Code to scaffold a full Node.js TypeScript API in one prompt. The structure was great — but every major dependency was outdated. Here’s what went wrong.
The viral Claude.md repo has 70K GitHub stars. But what does it actually do? An honest breakdown of the 4 principles, the hype, and how to use it properly.
Learn the 7 essential rules for writing better GitHub Copilot prompts. Includes tips on context, examples, iteration, and Prompt Files for teams.
Learn how to use CLAUDE.md, multi-file rule systems, and /memory in Claude Code to give your AI permanent project context. Full setup guide with examples.
GitHub Copilot Custom Instructions solve this problem by letting you define persistent context that’s automatically injected into every Copilot request. Set it up once, and Copilot always knows how you work.
MCP stands for Model Context Protocol — an open standard that defines how applications provide context and data access to AI models and LLMs
Learn how to use AI prompts to scaffold a Node.js + TypeScript project from scratch always using the current Node LTS, no hardcoded versions, no stale templates.
Introduction Have you ever wondered how websites and applications ensure the right person or system is accessing the right data? Why can you log into your email from your phone but not from a random public computer? The answer lies in API authentication. API authentication is the gatekeeper of modern web applications. It determines who can…