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A field guide to responsible AI-assisted development

I've been building MVPs and SaaS products for 15 years. Let's work together on your next project.

Developers and marketers are being told to add special files to their sites to help LLMs "understand" their content. But does it do anything?

I enjoy shocking people by telling them I don’t use LLMs.This isn’t true, but it’s morally true for the reference class I’m in (people who wrote a book about...

I'm no longer browsing the web; I'm consuming AI answers instead. I love and adore today's so-called AI answer engines: tools like ChatGPT, Perplexity, Grok, Copilot, and Gemini. I use them at least a dozen times throughout the day, and I'm sure you use them frequently as well. Their convenience is

MCP aims to standardize AI tool integration, potentially simplifying development and enabling more capable AI assistants. Current adoption is limited.

AI agents use models, loops, memory, and tools to automate complex tasks. Learn how they work, their evolution, and their practical uses and limitations.

I recently left my job at Netlify and have been looking at what's next. At Netlify I became very interested in the power of ML, AI and LLMs in particular, and that's the area I've been looking in. But there's a lot of hype and buzzwords around, so I wanted an explainer I can point people to when they ask "but what is all

I started writing a post called "how to write AI apps" but it was over-reach so I scaled it back to this. Who am I to tell you how to write anything? But here's what I'll be applying to my own writing of AI-powered apps, specifically LLM applications. A battle I've already lost is that we shouldn't call LLMs "AI" at all; they are machine learning and not the general intelligence that is implied to the layman by the name. It is an even less helpful name than "serverless", my previous can

There's been a whole lot of discussion recently about the impact of AI on the market for web developers, for programmers in general, and even more generally the entire labor market. I find myself making the same points over and over, and whenever I do that it's time to write a blog post about it, so this is that. Doom and utopia are not our only options There are two extreme takes on the impact of AI on programmer jobs:

Ever wondered how AI agents actually work behind the scenes?

Personal website and blog of Felix Krause

A detailed walkthrough of my current workflow for using LLms to build software, from brainstorming through planning and execution.

Learn effective prompt engineering techniques for AI code generation in WordPress. Discover best practices, examples, and tips for creating clean, organized, and maintainable code

Learn what Large Language Models (LLMs) actually are, how they work, and practical ways to add them to your web projects—no PhD required.

Research recently showed that using AI may impact workers’ long term critical thinking powers. Another alarm bell raises worries that overreliance on AI to help write code will also have a long-term on the workplace.

Understanding LLMs: A Simple Guide to Large Language Models

In this article, I share my personal mental model of how LLMs affect software engineers at different levels, and why this leads to both excitement and scepticism.

It will change it. But how?

AI isn't replacing devs, it's making them more valuable. Let's look at how the job of devs is evolving and how it impacts teams

Secure, compliant AI for mission-critical operations. EXO delivers enterprise-grade AI that runs entirely on your infrastructure.