15 overlooked AI rules, accessibility tips, AI agents

Meet Paris Karahalios, the nuclear engineer who turned a passion for programming into a second career and built a spreadsheet to rival Lotus 1-2-3. In part one of this four-part series, Jim Hall interviews Paris to discover how punch cards, calculators, and curiosity set the stage for As-Easy-As, a powerful alternative born from unexpected beginnings.

WHY WE ❤️ IT: Believe it or not, in the early days of personal computing developers built software by hand from first principles because they had to. This series shares the story behind As-Easy-As, the spreadsheet built from scratch, and the lessons learned along the way. This is part one of an in-depth look at an innovative program that was a standout in its field.

Accessibility matters, and it starts with a few small steps. Aude Konan shares 5 practical tips to help you build more inclusive websites that welcome all users. Learn how to write better alternative text, choose accessible colors, craft descriptive links, structure headings, and simplify your language. Start now and make a difference.

WHY WE ❤️ IT: Around 1 billion people in the world have a disability of some sort which impacts the way they access the online world and websites. The open source community has the opportunity to make a difference by creating accessible websites. But with accessibility being so vast and complex, where should you start? This article helps to answer that question.

What does real AI actually look like? This opinion piece by David Both outlines 15 overlooked rules that should shape how we think about intelligent systems, plus what sci-fi icon Robbie the Robot can still teach us today about "intelligence."

WHY WE ❤️ IT: Any article that mentions or uses as a reference point the now classic Sci-Fi movie Forbidden Planet and goes on to mention "the planet Altair IV" and "the United Planets starship C-57D" is one we'll read almost immediately.

From one-person startups to enterprise teams, real-world generative AI projects all face the same challenge: Turning ideas into working solutions. This podcast interview shares practical lessons on use case strategy, tooling, and why staying hands-on with the tech is essential for building AI that actually delivers.