AI Tutorials, Workflows & Field Notes
Practical guides on prompt engineering, AI workflows, and the tools that actually ship work — written for students, developers, creators, and operators.
Developers posts
5 Real Ways Developers Use Agentic Coding in 2026
gentic coding tools have moved past the demo stage and into real developer workflows. This guide breaks down 5 specific, real ways developers are using them in 2026, from large scale refactoring to debugging issues that used to take hours to trace.
Is Agentic Coding Safe for Production Code? What to Know Before You Trust It
Agentic coding tools can plan, write, and even deploy code with less human oversight than ever before. This guide breaks down the real risks, where these tools genuinely earn trust, and the practices that separate safe use from a costly mistake.
What Is Agentic Coding? Why Developers Are Talking About It
Agentic coding is one of the most discussed shifts in software development right now. It moves AI beyond simple code suggestions and into something that can plan, execute, and debug entire programming tasks on its own. This guide explains what it is, how it works, and whether it is worth paying attention to.
How Developers Are Using MCP Servers With Claude Code and Cursor AI
Model Context Protocol is changing how developers work with AI assistants. This guide breaks down how Claude Code and Cursor AI use MCP servers to pull real context from docs, databases, and repositories, and what to watch out for before connecting your own systems.
Cursor AI vs GitHub Copilot vs Claude Code: Which Coding Assistant Wins in 2026?
Cursor AI, GitHub Copilot, and Claude Code all promise to speed up your coding, but they solve very different problems. This guide breaks down what each one actually does well, where each one falls short, and which one fits your workflow in 2026.
Debug Like a Detective: Using AI to Generate Repro Steps, Test Cases, and Root-Cause Theories
Debugging rarely takes hours because the fix is hard. It takes hours because the situation is unclear. This post gives you a repeatable, AI assisted debugging method built around case files, reproduction steps, ranked hypotheses, and tests that actually lock the bug down for good.
From Idea to Deployed App in a Weekend with AI Pair-Programming
Most weekend coding projects die somewhere between Saturday excitement and Sunday burnout. This post gives you a clear two day plan for shipping a real, working app using AI pair programming, without letting scope creep or endless polishing get in the way.