In 1779, the world's first major iron bridge opened over the River Severn in Shropshire, England. Its architect, Thomas Farnolls Pritchard, and builder Abraham Darby III faced a unique challenge: applying an entirely new material—cast iron—to bridge construction at unprecedented scale. While some structural theory existed by the 1770s, Pritchard relied heavily on carpentry methods,...
Category: Development
Vibe coding is broken. Could Controlled Natural Language – CNL – save it?
Six months ago, “vibe coding” was supposed to change everything. Tell the AI what you want, sit back, and watch it generate working software. Andrej Karpathy, ex-Tesla and OpenAI, hyped it as the future: forget syntax, just describe your intent. The demos were intoxicating. Startups bragged about entire codebases written by GPT-like copilots. Prototypes spun...
The Rise of Agentic Vibe Coding: How Replit Agent 3 is Redefining Software Development
When AI researcher Andrej Karpathy floated the phrase “vibe coding” in a 2025 tweet, describing a style of programming where you “give in to the vibes” and focus on intent rather than syntax, he crystallized a cultural shift already underway. His post went viral, resonating with developers willing to let AI assistants take the wheel....
Meet the “Superhero Janitors”: Vibe Coding Cleanup Specialists Cleaning Up AI’s Coding Disasters
When Andrej Karpathy, OpenAI co-founder and former Tesla AI director, coined the term "vibe coding" in February 2025, describing it as a process where "you fully give in to the vibes, embrace exponentials, and forget that the code even exists," he probably didn't expect to spawn an entire cleanup industry. Yet that's exactly what happened....
The New Unit Test: How LLM Evals Are Redefining Quality Assurance
Picture this: you've written a function that calculates the square root of a number. Feed it the input 16, and you'll get 4 back every single time—guaranteed. This predictability is the bedrock of traditional software testing, where unit tests verify that each piece of code behaves exactly as expected with surgical precision. Now imagine a...
Prompt sets are the new PRDs: How AI is fundamentally rewiring product development
The humble Product Requirements Document (PRD) has been the backbone of software development for decades. These lengthy documents outlined features, user stories, and technical specifications in painstaking detail before a single line of code was written. But according to Aparna Chennapragada, Chief Product Officer at Microsoft, that era is rapidly coming to an end. "I...
The Specification Revolution: How AI is Flipping Software Development Upside Down
For decades, software development has followed a familiar pattern: gather requirements, write specifications, then build the code that makes those specs reality. The specification was scaffolding—useful for planning, essential for alignment, but ultimately discarded once the "real work" of coding began. But as AI coding assistants become more sophisticated, a new paradigm is emerging that...
Vibe coding 101: How to build software by talking to AI (without setting your project on fire)
The explosive rise of large language models (LLMs) has given birth to a new kind of developer: the vibe coder. Unlike the meticulous, line-by-line craftsperson of an earlier era, the vibe coder engages in a conversational dance with an AI partner. You describe what you want in plain English, the AI generates code, and you...
In Defense of “Vibe Coding”: Why Your Personal Scripts Don’t Need to Pass Code Review
The term "vibe coding" doesn't appear in any computer science textbook, but ask any developer who's spent time with ChatGPT, Claude, or GitHub Copilot and they'll know exactly what you mean. It's that flow state where you're rapidly iterating with an AI assistant, throwing together solutions that work right now for the problem right in...
12-Factor Agents: A Blueprint for Reliable LLM Applications
Generative AI’s “agent” craze promised software that could reason and act autonomously, but early reality didn’t live up to the hype. Many teams found that beyond impressive demos, these AI agents often hit a wall around 70–80% reliability – prone to looping, making malformed tool calls, or losing track of state . Dex Horthy, an...
