8 posts tagged with "ai"

Have you ever spent half an hour refining a prompt — making the instructions clearer, more detailed, adding examples, adding constraints — and the agent kept failing in exactly the same way?

You've been there: the model hallucinates even with a perfect prompt. Or worse: the agent acts on the world, does something it shouldn't, and you find out in production. Not in the test chat, not in the sandbox. In production, with real data.

That's not a prompt problem. And polishing the system prompt text won't fix it.

This article is about understanding where the problem actually lives — and why conflating these three layers of AI engineering wastes time, money, and sometimes causes incidents.

Over the past few months I've been using Claude Code intensively in my work and personal projects. It's not hype — it's an actual work tool. And like any tool, there's a right way to use it, there are traps, there are limits, and there are combinations with other things that change the game.

This article is an honest account. What worked, what didn't, what I learned the hard way, and what I'd tell any developer just starting out. If you want the marketing pitch of "AI will replace programmers," this article isn't for you. If you want to know how to get the most out of it without losing your mind, keep reading.

Machine learning always seemed distant from frontend — Python, powerful servers, expensive GPUs. But that changed. Today it's possible to run a trained AI model directly in the browser, with zero backend, using pure JavaScript and the user's own GPU.

This article explains how this works in practice, using TensorFlow.js as a foundation — and how I applied it in a project called SeeFood, a classifier that solves humanity's greatest problem: knowing whether what you're about to eat is a hot dog or not.

Technical documentation is a constant challenge in software projects. The technical team needs to document, but there's generally no dedicated tech writer. In this case study, I show how we created a complete automated documentation system using Cursor Agents, Rules, and Commands.

Software development is undergoing a significant transformation with the arrival of generative AI tools. Among these tools, Cursor stands out as one of the most powerful, especially with its Agents functionality.

While Rules define standards and Agents execute complex tasks, Commands are reusable workflows that standardize common processes. They transform repetitive tasks into simple commands with the / prefix.