All articles tagged with #vibe coding
A Hackaday piece reviews a 2026 preprint warning that AI-assisted ‘vibe coding’—developers using LLMs to generate code—could erode open source ecosystems by reducing direct project engagement, bug reporting, and community funding, while biasing output toward code prevalent in training data. Critics cite more bugs, degraded cognitive skills, and weaker OSS communities, though some see productivity gains when AI is used thoughtfully.
LinkedIn is rolling out vibe coding badges that let users showcase proficiency with AI coding tools by having the toolmakers—Replit, Lovable, Descript, and Relay.app—assess and assign levels (e.g., bronze, intermediate) that appear on profiles. More integrations with GitHub and Zapier are in the works. These levels update as users gain experience, providing recruiters with a verifiable signal of tool-driven work while LinkedIn emphasizes that this isn’t meant to replace existing signals. The move comes amid a broader AI-era backdrop and concerns about layoffs.
An experienced developer uses Claude Code to port an iPhone-based filament-management app to macOS, delivering a working Mac app after iterative back-and-forth work and about 8 hours of project time spread over a month. The process highlights AI as a powerful force multiplier that still requires clear guidance, constant testing, and manual fixes. Mac-specific gaps (no NFC/camera, window resizing) and UI performance tweaks (thumbnail caching) demanded careful iteration. The result is a functional cross‑platform tool that boosts productivity, but it confirms AI isn’t magic and must be steered and tested by a human.
Linus Torvalds has quietly explored vibe coding by using Google's Antigravity AI to generate a Python-based audio visualizer for AudioNoise, a personal project built around his C code for digital audio effects. The effort grew from his GuitarPedal hardware experiments, and he notes the AI wrote the visualizer with minimal manual input, illustrating how AI tools are aiding coders on low-stakes tasks and signaling AI’s growing presence in the Linux ecosystem.
Linus Torvalds experimented with 'vibe coding' on a small hobby project called AudioNoise, using Google Antigravity to generate a playful audio-visualizer. He emphasizes it’s a toy rather than infrastructure and notes he’s not chasing hype around AI in coding, reflecting the ongoing debate about AI tools in software development.
A 13-year-old and his 18-year-old sister learned vibe coding and participated in a 24-hour AI hackathon in Singapore, building projects like an AI sports coach and university guidance counselor, inspired by their father and emphasizing the educational and collaborative potential of AI for young learners.
Cursor CEO Michael Truell warns against 'vibe coding,' a risky AI-assisted coding approach where users rely entirely on AI without understanding the underlying code, which can lead to unstable foundations. Instead, Cursor integrates AI directly into the coding environment, allowing developers to work with both detailed code and end-to-end tasks, promoting more reliable software development.
Alexandr Wang, Meta's 28-year-old billionaire, emphasizes the importance of 'vibe coding'—using AI to generate code through natural language prompts—especially for Gen Alpha, as he believes this skill will be crucial for future superintelligence and economic advantage. He advocates for teenagers to immerse themselves in AI tools now, comparing this moment to the dawn of the PC revolution, to gain a competitive edge in the evolving tech landscape.
The article discusses the rise of 'vibe coding,' where generative AI accelerates software development, leading to increased efficiency but also raising concerns about reduced critical thinking, job displacement, and security risks. Despite industry hype, AI-generated code still faces accuracy issues, and the long-term effects on developer skills and industry stability remain uncertain, with a shift towards more specialized AI tools and a cautious outlook for 2026.
AI contributed to over 25% of Google's (Alphabet) new code, with Vibe Coding emerging as a key workflow, highlighting advancements in AI-assisted software development.
Wei Khjan Chan, an accountant with nearly 20 years of experience, learned vibe coding to leverage AI tools for automating tasks and staying relevant in his profession, advocating for broader AI training in accounting to address workforce shortages.
ChatGPT Canvas, an underrated feature of ChatGPT, has evolved into a powerful tool for vibe coding and collaborative editing, transforming how users work with code and text by enabling side-by-side visual editing and real-time collaboration, making it especially useful for writers and coders seeking a more interactive and precise workflow.
AI tools like chatbots are revolutionizing software development by automating coding tasks, with a focus on higher-level goal communication rather than syntax, leading to a competitive market among major AI companies. Despite concerns about job displacement, experts emphasize that skilled engineers remain essential, as AI enhances productivity but does not replace expertise.
Despite the rise of unicorn vibe coding startups, dedicated mobile apps for vibe coding have struggled to gain traction, with only a few downloads and minimal revenue, though the technology is increasingly integrated into existing apps and developer interest remains high.
Alexandr Wang, Meta's 28-year-old CEO, emphasizes the importance of 'vibe coding'—using AI to generate code through natural language prompts—especially for young people, as he believes AI will soon obsolete traditional coding skills. Wang's goal is to build superintelligent AI models and hardware that merge digital perception with cognition, advocating for early immersion in AI tools to gain a future competitive edge. He highlights the transformative potential of AI in software development and the importance of experimenting with these tools now.