By: Tech & Development Desk Published: October 2026 Main Facts The rapid evolution of Large Language Models (LLMs) and autonomous coding agents has fundamentally transformed software engineering. Developers increasingly rely on AI tools to write, format, test, and refactor code. However, a glaring blind spot persists: frontend and user-interface validation. Autonomous agents regularly report that […]
Italian Retail Giant OVS Sets Ambitious Roadmap to Make India Its Largest Global Subsidiary
The landscape of India’s organized fashion retail is witnessing a significant shift as Italian retail powerhouse OVS aggressively scales its operations. With a clear vision to establish India as its primary market outside of Italy, the brand has embarked on a strategic expansion plan that balances large-format physical store growth with a deep, data-driven understanding […]
Beyond the Headlines: Re-evaluating the ‘Make in India’ Decade
In the corridors of economic policy, the assessment of India’s industrial trajectory over the past twelve years has become a battleground of metrics and narratives. A recent high-profile critique characterized the ‘Make in India’ initiative as having a “low and patchy impact,” citing a dozen specific indicators to support its verdict. However, this evaluation suffers […]
The Foldable Phone Paradox: Why Android Auto and Gemini Are Refusing to Let Closed Flip Phones Make Calls
By Tech Desk Published: April 2026 For millions of drivers worldwide, Android Auto has long been the quintessential co-pilot. Seamlessly projecting navigation, media controls, and hands-free communication onto the dashboard, it has transformed the modern driving experience. However, a frustrating new software quirk is threatening to disrupt commutes for a very specific segment of the […]
How To Make Your Design System AI-Ready — Smashing Magazine
https://res.cloudinary.com/indysigner/image/fetch/f_auto,q_80/w_800/https://files.smashing.media/articles/how-make-design-system-ai-ready/1-traditional-llm-readable-design-systems.jpg 800w, https://res.cloudinary.com/indysigner/image/fetch/f_auto,q_80/w_1200/https://files.smashing.media/articles/how-make-design-system-ai-ready/1-traditional-llm-readable-design-systems.jpg 1200w, https://res.cloudinary.com/indysigner/image/fetch/f_auto,q_80/w_1600/https://files.smashing.media/articles/how-make-design-system-ai-ready/1-traditional-llm-readable-design-systems.jpg 1600w, https://res.cloudinary.com/indysigner/image/fetch/f_auto,q_80/w_2000/https://files.smashing.media/articles/how-make-design-system-ai-ready/1-traditional-llm-readable-design-systems.jpg 2000w” src=”https://res.cloudinary.com/indysigner/image/fetch/f_auto,q_80/w_400/https://files.smashing.media/articles/how-make-design-system-ai-ready/1-traditional-llm-readable-design-systems.jpg” sizes=”100vw” alt=”A diagram comparing traditional with LLM-readable design systems by showing their processes and an example file structure.”>To get better results, AI needs better guidance that minimizes assumptions and reduces ambiguity. Guide by Hardik Pandya. (Large preview) 1. Design Decisions Are Infrastructure Unsurprisingly, better AI prototypes […]