#visual novel Scratch
46 related articles
·3 min
CS Students' Summer Prep: How to Strategically Choose Between ML Internships and Data Analytics Roles
How should a CS+Stat junior efficiently prep for data/ML internships? We break down the real market gap, skill priorities, and a focused 3-month strategy.
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·3 min
iOS 27 In-Depth Review: Five Major New Features Tested and Analyzed
iOS 27 deep dive: AI photo Extend & Spatial Reframe, a rebuilt Siri with personal data access, 30%+ system-wide speed gains, and long-overdue quality-of-life fixes — all tested and explained.
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·2 min
LTX 2.3 IC-LoRA Hands-On: Change a Video's Camera Angle with AI
LTX 2.3 CrossView IC-LoRA is open-sourced, enabling camera angle changes in existing videos. Learn how IC-LoRA works, why the 22B backbone matters, and where to get it.
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·2 min
A Beginner's Guide to Grokking Machine Learning: Self-Study Paths and Resource Recommendations
Why Grokking Machine Learning is a top pick for ML beginners — covering the author, content, legal access options, and an effective self-study roadmap.
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·4 min
Learn ML Free at Public Libraries: A Complete Guide to O'Reilly Tech Book Resources
Getting O'Reilly machine learning books free at public libraries? It's no myth. This article reveals hidden tech learning resources at libraries, including online platform subscriptions and digital database access, helping self-learners build AI knowledge at zero cost.
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·7 min
Base44 in Practice: How Claude Code Powered Rapid Scaling from 1 to 80 People
How Base44's product team scaled from a single founding engineer to an 80-person team with Claude Code. Covers AI-assisted onboarding, code review, user evaluation, and QA automation.
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·7 min
GitHub Copilot in Practice: The Capability Boundaries of AI Programming and the Irreplaceable Value of Humans
A developer's real case of building a dental clinic management system with GitHub Copilot and Azure SQL, revealing AI coding limits in cloud security config and how Human-in-the-Loop breaks through.
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·4 min
How Can Programmers Survive and Thrive in the Age of AI? A Deep Dive and Action Guide
AI is reshaping the programmer job market: junior roles are disappearing while senior architects grow more valuable. This guide breaks down AI's impact on knowledge workers and outlines three transformation paths for programmers.
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·4 min
Claude Code Beginner's Guide: From Installation and Configuration to Hands-On Projects
Complete Claude Code beginner's guide covering Git, VS Code setup, third-party model integration, permissions, Tools, Hooks, Skills, SubAgents, and a hands-on project walkthrough.
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·4 min
Vibe Coding in Practice: Three Strategies for Building an English Learning Game with Dramatically Different Results
Three controlled experiments compare pure Prompt, pre-prepared assets, and Godot engine strategies for Vibe Coding an English learning game — revealing dramatic differences in quality and Token cost.
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·3 min
Setting Up Claude Code from Scratch: An Installation & Configuration Troubleshooting Guide
A complete guide for beginners to set up Claude Code, covering VS Code installation, plugin troubleshooting, API configuration, model switching pitfalls, and practical usage tips.
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·4 min
AI Engineer Job Search: The Capability Leap from Demo to Production System
AI job demand is surging but companies can't find qualified candidates. Learn the 3 core skills—advanced RAG, local model deployment, and full-stack monitoring—to leap from demo builder to production engineer.
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·4 min
Agent Beginner's Guide: Architecture Principles and Practical Efficiency Tips
A deep dive into AI Agent principles, core architecture, and practical applications. Learn how Agents differ from LLMs and how to leverage Agent Skills to boost productivity.
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·3 min
AI Agent Development Tutorial: A Practical Guide from Zero to One-Person Company
A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.
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Tutorials·2 min
Getting Started with RAG: What Is Retrieval-Augmented Generation and How Does It Solve LLM Hallucination?
RAG (Retrieval-Augmented Generation) is the core solution for LLM hallucination. Learn RAG concepts, how it works, three causes of hallucination, and the complete learning path from basics to Knowledge Graph RAG.
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Product Reviews·2 min
Quip AI Game Generator Hands-On: Building a Mowing Game from Scratch with Zero Code
Hands-on review of Quip AI game generator: building a 2D side-scrolling mowing game from scratch using only natural language prompts, covering the full workflow from initial build through iterative refinement.
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Deep Dives·3 min
How Multi-Agent Teams Solve AI Hallucination and Make AI Reliable
Deep analysis of how multi-agent architecture solves AI hallucination. From context rot to adversarial debate mechanisms, see how Anthropic, xAI, and Kimi reduce hallucination rates from 12% to 4.2%.
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Expert Opinions·4 min
Is HTML Replacing Markdown? A Deep Dive into the AI Output Format Debate
Anthropic's team claims HTML is better than Markdown for AI output, and Karpathy agrees. A deep analysis of HTML's advantages in information density, interactivity, and visualization, plus its limitations in version control and token efficiency.
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Research·2 min
AI Gaming Showdown: O3 Pro Demonstrates Stunning Planning Capabilities
Researchers tested major AI models with Tetris, Super Mario, and Sokoban. O3 Pro showed unprecedented planning ability, becoming the only model to clear all levels. Game testing reveals AI's evolution from pattern matching to strategic thinking.
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Product Reviews·3 min
Claude 4.5 vs Gemini 3 Pro: A Comprehensive Coding Showdown
In-depth comparison of Claude 4.5 vs Gemini 3 Pro across five benchmarks including ARC-AGI-V2, SWE-Bench, and Terminal Bench 2.0, revealing their real coding and reasoning strengths.
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