Articles

There’s a quiet misunderstanding spreading through our industry right now. Developers are using AI to generate code. The code compiles. The tests pass. And they think they’re done. But working code is not the same thing as well-designed code. In fact, AI has made design thinking more important than ever. ⸻ Working Code Is the […]

Most “legacy code” isn’t legacy because it’s old. It’s legacy because it has lost its agency. I’ve worked with millions of lines of production code over four decades, across some of the largest companies in the world. The pattern is always the same: Objects don’t manage their own state Behavior is scattered Changes ripple unpredictably

Most people are using AI like a very fast search engine. They ask for code.They ask for answers.They ask for solutions. And sometimes, that works.But if you’ve spent any time building real software—software that needs to grow, change, and survive contact with reality—you’ve probably felt that something is missing. What’s missing isn’t a better prompt.It’s design thinking. Design Isn’t

AI isn’t confused — we are. If you’ve ever typed a prompt into ChatGPT and thought, “That’s not what I meant,” you’ve met the mirror. AI amplifies whatever we give it — our thinking, our assumptions, our clarity — and it reflects them back, sometimes with stunning accuracy and sometimes in spectacular confusion. The difference

Over the last month, I’ve been building something I wish I’d had years ago—a Prompt Manager that makes working with AI faster, smarter, and more organized. If you’ve been following the YouTube series, you’ve seen it evolve from a rough concept into a functioning tool. In this post, I want to share the key takeaways

Working with AI has taught me something I never expected about programming: that clarity isn’t just logical — it’s emotional. When I’m distracted or impatient, the quality of my code, my prompts, and my thinking all decline. When I slow down, breathe, and connect to the intention behind what I’m building, AI responds in kind.

How we prompt, collaborate, and think with machines—starts here. When people talk about “prompt engineering,” most of the time they’re missing the point. They treat it like an art of copy-paste hacks, fill-in-the-blank templates, and tricks to get better responses from ChatGPT. And while those tips have their place, they’re firmly stuck at what I

The Power of Thinking with AIBy David Scott Bernstein Have you noticed that the better you prompt, the better you think? It’s one of the quiet revolutions happening right now—beneath the surface of the AI boom. Everyone’s talking about productivity, but what’s more interesting to me is how prompting is reshaping how we understand and

Have you noticed that the better you prompt, the better you think? It’s one of the quiet revolutions happening right now—beneath the surface of the AI boom. Everyone’s talking about productivity, but what’s more interesting to me is how prompting is reshaping how we understand and communicate our ideas. Because when we prompt well, we

When we build software in an Agile process correctly, we discover that it is actually more efficient and quicker to do high-quality work than in a traditional Waterfall process. This is because a traditional Waterfall process devotes very little time to actually building software, which is where the value is to the customer.  We spend