# OCR

Karpathy's Epic Interview: In the Software 3.0 Era, Understanding Is Humanity's Only Moat

OpenAI co-founder Karpathy explains the Software 3.0 paradigm revolution at AI Ascent: from Vibe Coding to Agentic Engineering, programming's essence is fundamentally shifting. When AI can refactor 100K-line codebases, understanding becomes humanity's ultimate moat.

Four AI Diagram Paradigms: Claude Code and Gemini CLI Reshape Presentation Workflows

Four AI Diagram Paradigms: Claude Code and Gemini CLI Reshape Presentation Workflows

Explore four AI diagram paradigms: Excalidraw hand-drawn diagrams with Claude Code, Obsidian Canvas with Gemini CLI, interactive HTML pages, and Gamma PPT for automated presentation workflows.

Google AI Studio Builds Android Apps for Free: 250K in One Week, 99% of Creators Have Zero Coding Experience

Tech Frontiers

Google AI Studio Builds Android Apps for Free: 250K in One Week, 99% of Creators Have Zero Coding Experience

Google AI Studio now offers free native Android app building. 250K apps created in one week with 99% of creators having zero coding experience. A deep dive into this zero-code revolution.

The Lock-In Rule for AI Developers: How Deep Work Determines Project Success or Failure

The Lock-In Rule for AI Developers: How Deep Work Determines Project Success or Failure

Explore the Lock-In focus culture popular among AI developers, understand why deep work is critical in the fast-moving AI era, and get actionable tips to boost productivity.

You Are a Product of Your Actions, Not Your Aspirations: Bridging the Gap from Daydreaming to Execution

Expert Opinions

You Are a Product of Your Actions, Not Your Aspirations: Bridging the Gap from Daydreaming to Execution

Why aspirations can't define you and only actions shape identity. A deep analysis of the action-driven vs. aspiration-driven mindset with four practical strategies to bridge the knowing-doing gap.

Full Breakdown: Building an APP with A…

2026年6月1日·4 min

Full Breakdown: Building an APP with AI and Publishing to the App Store in 45 Minutes

How to use Cursor AI to develop an iOS APP in 45 minutes and publish it to the App Store, covering backend API development, iOS frontend, debugging tips, and effective AI communication methods.

pnpm Monorepo Full-Stack AI Engineerin…

pnpm Monorepo Full-Stack AI Engineering in Practice: Building a Multimodal Conversation System

Learn how to build a full-stack multimodal AI conversation system using pnpm Monorepo architecture, covering local model integration, image understanding, and streaming chat.

Building an AI Behavior Tree from Scra…

Building an AI Behavior Tree from Scratch: Python Window Capture Module Development Log

Detailed development log of a window capture module for an AI behavior tree game automation project, covering Python environment setup, OOP refactoring, and modular architecture design.

Context Engineering in Practice with C…

Context Engineering in Practice with CodeBuddy IDE: Two Rule Files to Generate Apps with a Single Sentence

Learn how to apply Context Engineering in CodeBuddy IDE using two custom rule files — a Requirements-to-TODO-LIST engine and a Project Execution engine — to generate complete apps with a single sentence.

Should Custom Software Teams Go All-In…

2026年5月31日·3 min

Should Custom Software Teams Go All-In on LLMs? ChatGPT Itself Gave the Answer

Should custom software teams go all-in on LLMs? Through a deep conversation with ChatGPT, we analyze scenario selection, Token costs, and industry fit to provide a rational decision framework for ToB developers.

35 Lines of Prompts Let Codex Auto-Opt…

2026年5月31日·3 min

35 Lines of Prompts Let Codex Auto-Optimize Your Workflow — Reposted by OpenAI's President

An OpenAI employee used just 35 lines of prompts to have Codex analyze 30 days of work history, identify repetitive tasks, and generate reusable automated Skills. Combined with screen reading and long-term memory, Codex is becoming a proactive workflow optimization agent.

What Problem Do You Most Want AI to Solve? A Deep Reflection on the Future Direction of AI

2026年5月30日·2 min

What Problem Do You Most Want AI to Solve? A Deep Reflection on the Future Direction of AI

A simple tweet sparks wide discussion: What do you most want AI to solve? From healthcare to education equity and scientific research, exploring the shift from technology-driven to demand-driven AI.

Llama 3.3 70B In-Depth Review: Testing…

2026年5月30日·3 min

Llama 3.3 70B In-Depth Review: Testing the Strongest Open-Source LLM with 13 Questions

Meta releases Llama 3.3 70B open-source model with just 70B parameters rivaling 405B performance. Tested on 13 logic, math, and coding questions, it passed 12 — reshaping the open-source model landscape.

Claude Opus 4.8 Hands-On: What Can You…

Claude Opus 4.8 Hands-On: What Can You Build in One Hour?

Hands-on testing of Claude Opus 4.8's coding and creative abilities, including Mario game and Slay the Spire-style card game development, quota consumption, and real-world bug frequency.

Deep Dive into Three Major LLM Career …

2026年5月29日·3 min

Deep Dive into Three Major LLM Career Paths: Requirements, Tech Stacks, and Career Prospects

Deep analysis of three core LLM roles—Application Engineer, Development Engineer, and Algorithm Engineer—covering technical requirements, salary thresholds, and career prospects including RAG, fine-tuning, and inference deployment.

MCP Protocol Practical Guide: The Stan…

MCP Protocol Practical Guide: The Standard Interface for Connecting LLMs to Everything

Deep dive into MCP (Model Context Protocol) principles and practical applications. Learn how LLMs connect to external tools via MCP to become agents, covering Java tech stacks, MCP Server ecosystem, Cherry Studio demos, and A2A protocol comparison.

DeepSeek V4 Flash MTP Speculative Deco…

2026年5月29日·3 min

DeepSeek V4 Flash MTP Speculative Decoding Real-World Test: A Guide to 20% Faster Local Inference

Real-world testing of DeepSeek V4 Flash with MTP speculative decoding: ~20% speedup for code generation, minimal gains for text. Covers memory overhead, accuracy differences, Q4 vs Q3 quantization, and full deployment tutorial.

Bolt DIY Setup Guide: Complete Guide t…

Bolt DIY Setup Guide: Complete Guide to the Free Open-Source AI Coding Tool

Complete guide to setting up Bolt DIY, the free open-source AI coding tool. From environment setup and free API integration to building and deploying high-performance websites at zero cost.

Dyad: A Free, Open-Source AI Full-Stac…

Dyad: A Free, Open-Source AI Full-Stack Builder — An In-Depth Look at This Lovable Alternative

In-depth review of Dyad, an open-source AI full-stack builder. Supports local execution, multiple AI models, and component-level editing. A free, privacy-first alternative to Lovable and Bolt.new.