Search Results: AICoding

A developer's four-hour experiment creating a SQL client exclusively through AI-assisted 'vibe-coding' yields a functional desktop app but exposes critical concerns about maintainability. The Seaquel project demonstrates LLMs' coding capabilities while highlighting the risks of uncurated AI-generated codebases.

A groundbreaking study on Cursor's impact on software development reveals that while AI coding assistants provide an initial productivity boost, they may lead to increased code complexity and long-term slowdowns, challenging the narrative of AI as a silver bullet for software engineering.

In a controversial ACM Queue talk, computer scientist Matt Welsh argues that traditional coding will soon be obsolete, replaced by AI models trained to generate software from specifications. This prediction ignites fierce debate on Hacker News about the future of developer roles, the nature of creativity in tech, and the urgent need for skill adaptation in an AI-dominated landscape.

GitHub has announced a groundbreaking AI-powered tool that automates complex coding tasks, signaling a major leap beyond its Copilot assistant. This innovation promises to reshape developer workflows by handling everything from boilerplate generation to architectural decisions, though it raises critical questions about code ownership and security.

A new challenger, Code Supernova, delivers code 6-10x faster than GPT-5—but at what cost? Our deep-dive tests reveal its revolutionary execution-first approach, surprising UI capabilities, and the strategic multi-model workflow it enables for developers.

Linux creator Linus Torvalds has erupted at developers flooding kernel patch submissions with 'pointless links' that waste maintainers' time—many generated by AI tools. His fiery critique exposes growing tensions between automation and meaningful collaboration in open-source development.