#programming learning roadmap
195 related articles
·3 min
AI Agent Development: A Three-Stage Learning Roadmap from Zero to One
A systematic three-stage AI Agent development roadmap: from Python basics and LLM fundamentals, through five core capabilities like planning and tool use, to hands-on RAG projects for real-world deployment.
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·3 min
Industrial Defect Detection: OpenCV vs. YOLO — A Complete Guide to Scenario-Based Decision Making
Compare OpenCV vs. YOLO for industrial defect detection. Analyze selection criteria across data needs, accuracy, deployment, and get learning roadmap advice.
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·1 min
Sakana AI Launches RSI Lab: The Path to Recursive Self-Improvement Where AI Builds AI
Sakana AI launches RSI Lab for recursive self-improvement, letting AI autonomously improve its own architecture. Explore their four-stage roadmap and key breakthroughs.
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·3 min
SWE-Smith Expands to JavaScript: 6,099 Synthetic Bugs Powering Multilingual Code Repair
SWE-Smith Multilingual extends synthetic bug generation to JavaScript, validating 6,099 patches across 74 repos. Covers 14 modifiers, high-yield repo traits, and Modal cloud pipeline architecture.
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·3 min
748-Episode AI Large Language Model Development Tutorial: Seven Core Modules from Zero to Project Deployment
Analysis of a 748-episode, 198-hour AI LLM development tutorial covering API integration, prompt engineering, RAG, AI Agents, fine-tuning, multimodal development, and deployment.
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·4 min
AI Agent Development: A Complete Six-Week Systematic Learning Roadmap
A systematic six-week learning roadmap for AI Agent development covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, deployment, and hands-on projects.
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·3 min
The Complete Skill Map for AI Application Engineers: A Progressive Roadmap from Fundamentals to Production
A systematic breakdown of the complete skill structure for AI application engineers, covering Python & deep learning fundamentals, small model engineering, LLM fine-tuning, Agent development, and enterprise projects.
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·3 min
The Vibe Coding Four-Module Framework: A Complete Methodology from Fragmented Learning to Engineering Delivery
A deep dive into the Vibe Coding four-module framework: paradigm cognition, open-source customization, SDD, and project rules for real engineering delivery.
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·1 min
Codex Guide: An Open-Source Guide Covering Everything from Installation to Advanced Techniques
Codex Guide is an open-source practical guide for Codex, covering installation, third-party API integration, agents.md writing, Skills MCP usage, and more to help developers get started quickly.
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·2 min
Career Switch to AI Software Testing from Scratch: A Complete 3-Month Learning Roadmap
A complete 3-month learning roadmap for switching to AI software testing from scratch, covering fundamentals, Python automation, AI-powered testing, and career guidance.
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·3 min
The Complete Guide to Vibe Coding: Turn Ideas into Products with AI — No Coding Required
A complete guide to Vibe Coding: from idea to PRD, UI design, and working code using AI tools like Gemini, Figma Make, and Cursor — no coding skills needed.
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·3 min
Codex vs Claude Code in Practice: A Complete Guide to AI-Engineered Programming for Enterprise Projects
In-depth comparison of Codex and Claude Code for enterprise AI development, covering Vibe Coding limitations, multi-Agent workflows, OpenRouter platform architecture, and programmer learning paths.
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·4 min
UniApp Beginner Tutorial: Build Multi-Platform Apps with One Codebase
In-depth analysis of a UniApp zero-to-hero APP development course covering HTML, CSS, JavaScript, and UniApp, with project-driven teaching and learning path recommendations.
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·3 min
How Wayfair Uses GPT Models to Process a Catalog of 40 Million Products
Deep dive into how Wayfair uses OpenAI GPT models for catalog enrichment across 40M SKUs, covering technical implementation, AI solutions for non-standardized product classification, and implications for e-commerce.
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·3 min
5 Daily Claude Code Tips: Let AI Interrogate You Instead
5 daily Claude Code tips: Grill Me for requirements, Brainstorming for architecture, Writing Plan for execution, TDD for testing, and Debugging for precise fixes — a complete AI coding workflow.
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·4 min
AI + Java Backend Learning Roadmap: Four Stages from CRUD to Senior AI Engineer
A complete AI + Java backend learning roadmap based on Spring AI Alibaba: from prompt engineering and LLM API integration to RAG knowledge bases and Agent systems across four stages.
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·3 min
AI Agent Hands-On Learning Path: A Complete Guide from Beginner to Enterprise-Level Development
A systematic AI Agent development learning roadmap covering prompt engineering, RAG, multi-Agent collaboration, tool calling, and more—with phased learning advice and 28 hands-on project references.
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·3 min
Vibe Coding Tutorial for Beginners: Three Steps from Idea to Product Launch
A complete Vibe Coding guide: use natural language to drive AI for product development — from ideation and PRD generation to UI design and code implementation. Build launchable products with zero coding skills.
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·3 min
OpenAI Codex Beginner's Guide: From Environment Setup to Enterprise-Level Practice
A systematic guide to OpenAI Codex and AI LLM learning, covering Transformer basics, dev environment setup, prompt engineering, RAG deployment, LoRA fine-tuning, and AI Agent enterprise projects.
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·3 min
Getting Started with AI Agent Development: A Detailed Three-Stage Learning Roadmap
A complete roadmap for learning AI Agent development from scratch, covering Python & LLM basics, five core skills, and hands-on RAG projects in 1-2 months.
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