The title of my talk is “AI Changes Everything (And Nothing At All)”—and I know that sounds contradictory. But over the next 30 minutes, I hope to show you why both are true.

Anthropic Claude is a primary competitor of OpenAI’s ChatGPT. Just like ChatGPT this is versatile tool that can be use used in many different purposes but there is an area where Claude shines and this area is coding. Claude is great at code-adjacent design tasks and can be used as a nice supporting tool for everyday product design activities.

When working with Model Context Protocol (MCP) servers, each one might require its own setup, tools, or environment. For a deeper dive into MCP server development tools, check out our detailed guide here.

Anthropic Claude is a primary competitor of OpenAI’s ChatGPT. Just like ChatGPT this is versatile tool that can be use used in many different purposes but there is an area where Claude shines and this area is coding. Claude is great at code-adjacent design tasks and can be used as a nice supporting tool for everyday product design activities.

Prompt treadmill is a situation that happens when you get stuck endlessly rewriting prompts to “make AI understand” your design intention, instead of actually moving forward. It’s one of the most annoying things that can happen when you work with AI, as you feel like you’re not moving forward, but instead burn rubber while remaining stuck in a rut.

Each week, I’ll send you a short, friendly roundup of the most useful tools, ideas, and real-world examples—curated specifically for developers like you. No hype. No fluff. Just insights you actually need to stay ahead.

The closer an investment is to a core economic driver (revenue or cost), and the shorter the feedback loop between action and outcome, the easier it is to understand, justify, and manage ROI.

What if your business could reclaim thousands of hours every month, without hiring a single new employee? That’s the reality forward-thinking enterprises are achieving today with AI Business Process Automation (AI-BPA).

Local throughput optimization always externalizes costs onto downstream colleagues.

There is no denying that LLMs are the new kid on the block. Our marketing director (that’d be me) said that if we don’t write something about it, we will be left behind, so we ran an experiment, we went hardcore on it, and… TL;DR, we don’t fully buy it, yet.