vibe-coding
9 articles
Eight Years in the Making, Built with AI in Three Months — The Birth of SQLite Dev Tools
After eight years of hesitation, Lalit Maganti spent roughly 250 hours over three months building syntaqlite with AI coding agents. He reports on a discarded month of vibe-coding, prompt addiction, lost codebase context, and the boundary between AI-accelerated implementation and human-led design.
Karpathy's Pain Point Isn't Writing Code — It's Deploying the Damn Thing
Karpathy found that vibe coding makes writing code a breeze, but deployment is pure hell. His exchange with Stripe CEO Patrick Collison reveals the next battleground: the entire DevOps lifecycle must become code before AI agents can truly take over.
Karpathy: Writing Code Is the Easy Part — Assembling the IKEA Furniture Is Hell
Karpathy's MenuGen journey shows the hard part of vibe coding was not writing code, but assembling Vercel, Clerk, Stripe, OpenAI, and other services into a product. His takeaway: DevOps must become code before agents can really ship.
Vibe Engineering — From 'Throw a Prompt and Pray' to Actually Shipping Software
Paweł Huryn proposes the Vibe Engineering framework: instead of accepting raw AI output, use Context Engineering, Intent Engineering, and Sub-agent orchestration to upgrade AI coding from 'lucky demos' to 'reliable products'.
Google AI Went on a Shopping Spree This Week: Vibe Coding, AI-Native Design, and More
Google AI dropped a week's worth of announcements in a single tweet — full-stack vibe coding in AI Studio, an AI-native design canvas called Stitch, major Gemini API upgrades, and a free hackathon platform on Kaggle.
Vibe Coding's Real Power Might Not Be Speed — It's Cutting Out the Middlemen
SemiAnalysis argues Vibe Coding's adoption driver is not just faster code, but removing the telephone game between domain experts and implementation. The catch: unclear intent still produces the wrong thing at warp speed.
Karpathy's Viral Speech Decoded: Software 3.0 Is Here — LLMs Are the New OS, and We're Still in the 1960s
Karpathy's viral SF AI Startup School talk: software is entering the 3.0 era (English = programming language), LLMs are the new OS but we're in the 1960s. He introduces the 'autonomy slider' and 'Iron Man suit' frameworks, warning that agents are a decade-long journey, not a year.
Karpathy: The App Store Concept Is Outdated — The Future Is Ephemeral Apps Assembled by AI on the Spot
Karpathy used Claude Code to build a custom dashboard in 1 hr, reverse-engineering a treadmill API. He believes AI-native sensors & LLMs will enable highly custom, ephemeral apps, rendering the App Store model obsolete. The ultimate goal: 1-min app creation.
Cursor's Browser Blunder — When 'AI-Built From Scratch' Really Means 'Copy-Paste Assembly'
Cursor CEO claimed they built a browser from scratch using GPT-5.2, but developers discovered it was just stitching together existing open source components