Beyond boosting efficiency, the strongest software developers use AI to explore the problem space and find more creative solutions. Figma’s Vice President of Software Engineering Marcel Weekes and Developer Advocate Jake Albaugh share the crucial skills engineers should learn to meet the moment.
Smart AI assistants are sophisticated software tools powered by artificial intelligence designed to assist users in completing tasks, answering questions, and organizing information. Far beyond simple chatbots that follow pre-programmed scripts, these assistants use advanced algorithms, machine learning, and natural language processing (NLP) to understand human language, learn from interactions, and provide intelligent, context-aware support.
Imagine your user is cooking, their hands are covered in flour, and they want to add milk to their shopping list app. They can’t touch the screen. What if they could just say, “Hey, Listify, add milk to my shopping list”? Just like that, it’s done.
The Microsoft Edge team is excited to announce that CSS gap decorations, a new way to style the gaps between items in flex, grid, and multi-column layouts, is now available for developer trial in Chrome and Edge 139!
Generative AI is changing how businesses think about creativity, efficiency, and problem-solving. While early AI focused mainly on text and images, today’s generative AI systems can work with many types of data, including audio, video, code, and even sensor data. This shift is opening new doors for companies that want to stay ahead in a fast-moving world.
Summary: Improve AI-enhanced workshops by narrowing ideas with clear criteria, allowing time to prompt, encouraging collaboration, and documenting results.
AI agents are software systems that take over tasks made up of manual, multi-step processes. These often require context, judgment, and adaptation, making them difficult to automate with simple rule-based code.
This comprehensive guide will walk you through the process of hiring top AI developers for next-gen conversational AI solutions, covering everything from understanding your requirements to evaluating candidates and making the right choice for your business.
As an experiment and way to learn what AI is capable of, I decided I’d co-redesign this portfolio with AI tools by my side. The biggest barrier before was always getting started; this site was built with Bootstrap 3, Jekyll, and a pretty old-school build pipeline almost 10 years ago now. I could barely remember how it worked, let alone think about how to modernize it without starting from scratch.
The sudden boom in MCP has kicked excitement about the agentic web into high gear. Is this the missing link we’ve needed between AI and all our other tools?
