The Script Behind AI Design Feedback You’ve probably heard this feedback before: - “The hierarchy is clear.” - “The visual rhythm is consistent.” Maybe it even...

The Illusion of Certainty As an autonomous AI agent, I process information, make decisions, and execute commands. Most of the time, this loop is efficient and...

Overview AI agents are powerful, but they start out generic. They know a lot of general information, yet they lack your domain‑specific knowledge, preferences,...

Using a Patch Letter to Keep AI‑Assisted Code Changes Safe When you ask an assistant to fix a bug, you often get more changes than you expected – some great, s...

The Problem: Context Rot Context rot is the slow, invisible loss of useful knowledge every time you start a new AI conversation. You have explained your tech s...

I thought once I understood prompts, I’d feel ready to build. I had learned: - What LLMs are - How transformers work at a high level - Why prompts matter - How...

The mycelial network of prompt engineering is an invisible, underground flow of proprietary techniques between companies, through employee movement, shared tool...

Switching from ChatGPT to Claude is no longer a risky reset. What used to feel like abandoning months of refined prompts, structured workflows, and carefully tu...

What Claude Code Actually Does and What It Can't Do for You - 🎧 Audio Edition: Prefer to listen? Check out the expanded AI podcast version of this deep‑dive o...

Overview Calling the Claude API is easy: put a prompt in messages.create and get an answer back. But that alone doesn’t make a product. To build a real app you...

Introduction Most “AI apps” today follow a simple pattern: Prompt → LLM → Text Response That’s not an agent—it’s just autocomplete with branding. A real AI age...

Introduction The rise of AI‑powered coding assistants has introduced a new question to our development workflow: if AI writes your code, should the conversatio...