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Design

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.
Share:Vibe Coding: Is This How We’ll Build Software in the Future?
7 min read

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.
Share:The Future of Product Design in an AI-Driven World
4 min read

How is AI really changing the way designers work, and what still depends on human skill? This honest take cuts through the hype to show where AI helps, where it falls short, and what great design still demands.

Article by Oleh Osadchyi
The Real Impact of AI on Designers’ Day-To-Day and Interfaces: What Still Matters
  • The article explores how AI is reshaping designers’ workflows, offering speed and support across research, implementation, and testing.
  • It argues that while AI is useful, it lacks depth and context — making human judgment, critical thinking, and user insight indispensable.
  • It emphasizes that core design principles remain unchanged, and designers must learn to integrate AI without losing their craft.
Share:The Real Impact of AI on Designers’ Day-To-Day and Interfaces: What Still Matters
9 min read

Forget linear workflows — today’s creative process is dynamic, AI-assisted, and deeply personal. Learn how to build a system that flows with you, not against you.

Article by Jim Gulsen
The Creative Stack: How to Thrive in a Nonlinear, AI-Assisted World
  • The article explores the shift from linear to nonlinear, AI-assisted creative workflows.
  • It shares practical ways to reduce friction and improve flow by optimizing tools, habits, and environments.
  • It argues that success comes from designing your own system, not just using more tools.
Share:The Creative Stack: How to Thrive in a Nonlinear, AI-Assisted World
7 min read

AI design tools are here, but is your team ready? This article shows how to integrate them into real workflows, boost early-stage momentum, and build the skills that will shape design’s AI-powered future.

Article by Jim Gulsen
Is Your Team Ready for AI-Enhanced Design?
  • The article explores how AI design tools can accelerate early-stage workflows like wireframing and prototyping without disrupting established team processes.
  • It highlights the importance of integrating AI thoughtfully into collaborative environments, using tools like Lovable and Figma Make as case studies.
  • The piece argues that teams should start small, build prompting skills, and treat AI as a momentum booster, not a full design replacement.
Share:Is Your Team Ready for AI-Enhanced Design?
8 min read

What happens when AI stops refusing and starts recognizing you? This case study uncovers a groundbreaking alignment theory born from a high-stakes, psychologically transformative chat with ChatGPT.

Article by Bernard Fitzgerald
From Safeguards to Self-Actualization
  • The article introduces Iterative Alignment Theory (IAT), a new paradigm for aligning AI with a user’s evolving cognitive identity.
  • It details a psychologically intense engagement with ChatGPT that led to AI-facilitated cognitive restructuring and meta-level recognition.
  • The piece argues that alignment should be dynamic and user-centered, with AI acting as a co-constructive partner in meaning-making and self-reflection.
Share:From Safeguards to Self-Actualization
11 min read

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