- Artificial Intelligence, Generative AI, Product Design, Vibe Coding
What if you could build software just by talking to your computer? Welcome to vibe coding, where code takes a back seat and the vibe leads.
Article by Jacquelyn Halpern
Vibe Coding: Is This How We’ll Build Software in the Future?
- The article introduces vibe coding, using AI to turn natural language into working code, and shows how this approach lets non-coders build software quickly and independently.
- The piece lists key tools enabling vibe coding, like Cursor, Claude, and Perplexity, and notes risks like security, overreliance on AI, and the need for human oversight.
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- August 14, 2025
7 min read
- Artificial Intelligence, Design Tools and Software, Future of Work, Human-AI Collaboration, Product Design
AI is changing the way we design — turning ideas into working prototypes in minutes and blurring the line between designer and developer. What happens when anyone can build?
Article by Jacquelyn Halpern
The Future of Product Design in an AI-Driven World
- The article shows how AI tools let designers build working prototypes quickly just by using natural language.
- It explains how AI helps designers take on more technical roles, even without strong coding skills.
- The piece imagines a future where anyone with an idea can create and test products easily, speeding up innovation for everyone.
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- August 12, 2025
4 min read
Article by UX Magazine Staff
Share:Understanding AI Agent Runtimes and Agent Frameworks
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- August 8, 2025
7 min read
- Agentic AI, Agentic AI Myths, AI Agents, AI Automation, AI Orchestration, AI Strategy, Artificial Intelligence, Conversational AI, Enterprise AI, LLM, Multi-Agent AI Systems
Forget chatbots — Agentic AI is redefining how work gets done. Discover the myths holding businesses back and what it really takes to build AI with true agency.
Article by Josh Tyson
Five Myths Debunked: Why Agentic AI Is Much More Than Chatbots
- The article reframes Agentic AI not as a tool, but as a strategic approach to automating high-value tasks through orchestration and dynamic objectives.
- It argues that success with Agentic AI lies in starting small, experimenting quickly, and integrating agents around outcomes — not traditional workflows.
- The piece emphasizes the need for open, flexible platforms that enable multi-agent collaboration, rapid iteration, and seamless integration with legacy systems.
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- August 7, 2025
8 min read
- AI Governance, Artificial Intelligence, Human-Centered AI, Responsible AI
AI won’t take the blame — you will. In the age of automation, real leadership means owning the outcomes, not just the tools.
Article by Anthony Franco
The AI Accountability Gap
- The article reveals how AI doesn’t remove human responsibility — it intensifies it, requiring clear ownership of outcomes at every level of deployment.
- It argues that successful AI adoption hinges not on technical skills alone, but on leadership: defining objectives, managing risks, and taking responsibility when things go wrong.
- It emphasizes that organizations able to establish strong human accountability systems will not only avoid failure but also accelerate AI-driven innovation with confidence.
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- August 5, 2025
4 min read
Article by Josh Tyson
Share:The Dark Side of Chasing AGI
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- August 2, 2025
1 min read