AI programming
Preface > Translated from Addy Osmani’s article: Conductors to Orchestrators: The Future of Agentic Coding, published November 1, 2025. --- Executive Summary We are entering a new era in AI-powered programming, where developers evolve from conductors to orchestrators. * Conductor Model – Relies on cognitive leverage: AI amplifies individual execution, but
AI programming
# Table of Contents 1. [The Birth and Challenges of VibeCoding](#the-birth-and-challenges-of-vibecoding) 2. [Returning to the “Origin” to Examine Communication Challenges](#returning-to-the-origin-to-examine-communication-challenges) 3. [Writing Code vs. Reading Code](#writing-code-vs-reading-code) 4. [Prompts vs. Context Engineering](#prompts-vs-context-engineering) 5. [Some Insights](#some-insights) --- Have you ever experienced this: AI outputs feeling like a **“random
AI programming
🚀 AI and the Promise of “Zero‑Threshold Programming” In today’s AI‑driven era, “zero‑threshold programming” has emerged as one of the most attractive promises. Platforms from Lovable to Bolt, and V0 to Replit repeat the same message: > Don’t know how to code? No problem — AI will
AI programming
# AI Programming — Possibly the Largest Native AI Application Track Today AI programming is rapidly becoming one of the **biggest native AI application tracks** in history. What was once a niche "developer tool" market has transformed into a **multi-trillion-dollar opportunity**. --- ## The Scale of the Opportunity - **Global developer