AI for Developers The Velocity Trap: Why the Best Software Architects Move the Slowest Using LLMs and AI agents can accelerate our output exponentially. But there is a dangerous side effect to this velocity.
AI for Developers Where the LLM Helped, and Where It Didn’t: Designing a Hard Comparison UI While generating comparison concepts with a model, I had to change the team's approach; the AI couldn't have asked the question that mattered.
AI for Developers How to Build a RAG App, for Beginners: Local LLMs, Ollama, and LangChain Here's a hands-on guide to building a custom app using LangChain, a RAG system, and local LLMs with Ollama — perfect for beginners.
AI for Developers My Relationship with an AI Code Editor LLMs and an AI Code Editor like Cursor are still a benefit to my growth, but I'm not ready for the LLM to take the joy of my job just yet.
Artificial Intelligence From Experiment to Investment: Prove Generative AI ROI in Your Business Processes Learn how to establish a solid baseline, select a high-impact use case, and calculate ROI in terms your finance team can appreciate.
AI for Developers A Pragmatic Look at Web Scraping, Open Source, and LLM-Assisted Development My Mrln project serves as an example of a few ethical topics related to creators, AI labs, and LLM-assisted development.
AI for Designers Getting Back into Code After Taking a Break: Vibe Coding with Cursor I tried coding passion projects Cursor—the AI-powered code editor—and was surprised by how much I could build with just a prompt.
AI for Developers Large Language Models Are Designed to Be Average Large language models like Claude and GPT captured the public imagination — but they're fundamentally designed to produce average outputs.
AI for Developers 3 Questions to Help You Write a Better AI Prompt AI Prompting is a strategic art. Think of each AI prompt as an opportunity to shape how the LLM thinks, not just what it outputs.
AI for Developers From Chatbots to Components: Teaching Developers to Think of LLMs as (Fuzzy) Functions Apply your software engineering skills to LLM development. Learn to treat models as 'fuzzy functions' to build robust and testable AI systems
AI for Developers Turn a Web Scraper Into a Content Parser Using AI Let's explore using AI to transform a basic web scraper into an automated information processor or content parser.
Artificial Intelligence Patterns for Compounding the Value of LLM interactions LLM work has evolved past the one-shot. Let’s take a look at a few common patterns where origami-like LLM interactions can have a big impact.