#edge AI development
4389 related articles
·3 min
Jetson Edge AI Development: Setting Up a VS Code + Claude Code Workstation
Set up an AI coding workstation on NVIDIA Jetson using VS Code + Claude Code. Covers JetPack NVIDIA Skills, token budget management, headless SSH dev, and coding agent best practices.
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·3 min
Vibe Coding in Practice: Building Your Core Competitive Edge with AI-Assisted Development
Vibe Coding is a new AI-era programming paradigm focused on logic over syntax. Use Claude Code, Cursor, and LangChain to ship products solo and 10x your productivity.
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·7 min
Agentic AI Development in Practice: Evaluation and Error Analysis Are the Real Competitive Edge
Cut through the Agentic AI hype to see the real value of agentic applications. Based on Andrew Ng's course, learn why Evals and error analysis—not framework choice—separate top developers.
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·4 min
Feishu-Style Docs + AI Knowledge Base in Practice: A Complete Guide to RAG and TipTap Editor Development
Learn how to build a Feishu-style document system with TipTap editor, integrating AI auto-completion, document continuation, and RAG knowledge base Q&A with vector databases and Embedding.
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·4 min
Vibe Coding Methodology for Non-Programmers: Building an AI Development Loop with Automated Testing + Knowledge Accumulation
How can non-programmers develop efficiently with AI? This guide details end-to-end automated testing and knowledge accumulation to build a self-verifying Vibe Coding development loop.
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Tutorials·3 min
Getting Started with AI Full-Stack Development: A Knowledge Framework from Machine Learning to Large Language Models
A systematic guide to the relationships between AI, machine learning, deep learning, and large language models, helping developers build a clear knowledge framework and find an efficient learning path.
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Tech Frontiers·3 min
AI Test Development Learning Path: A Practical Guide from Prompt Engineering to RAG Knowledge Bases
A systematic AI test development learning path covering LLM fundamentals, prompt engineering, PyTest automation, RAG knowledge bases, and MCP tool chains to help QA engineers master AI-empowered testing.
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·2 min
Gemini 3.5 Pro Leak Rumors: Deep Analysis of Release Timing and Strategic Direction
Reddit claims Gemini 3.5 Pro is deployed and ready for release, but prediction markets and community remain skeptical. Deep analysis of leak credibility, Google's AI strategy, and the Pro vs Flash debate.
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·2 min
DeepMind CEO Hassabis Steps Down to Become Chair: What It Means for the AI Industry
Google DeepMind CEO Demis Hassabis reportedly steps down to become chair. Analyzing the background, implications for DeepMind's research direction, and what this means for the AI industry.
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·3 min
Distilling Linus's Code Review Philosophy from 32,000 Emails
The linus-torvalds-skill project distills Linus Torvalds's code review style from 32,000 kernel mailing list emails into an AI Agent-callable skill, with open pipeline and multi-model experiments.
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·2 min
Spring Framework's 19 Years of Technical Debt: A Deep Reflection on API Design and Backward Compatibility
Exploring how the Spring Framework addresses 19 years of technical debt, examining the costs of backward compatibility in API design and lessons for long-term software engineering decisions.
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·3 min
Tencent's Hy3 Agent Helps Crack a 50-Year-Old Math Problem: A New Paradigm for AI in Number Theory Proofs
Tencent's Hyra research agent and Hy3 model substantively contributed to solving the nearly 50-year-old optimal exponent problem relating sumsets and difference sets, marking AI's shift from computational tool to mathematical discovery partner.
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·4 min
From Leibniz to ChatGPT: A 350-Year History of Machines Understanding Human Language
From Leibniz's 17th-century dream of a universal symbolic language to today's prompt engineering with LLMs, humanity has spent 350 years trying to make machines unambiguously understand intent.
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·3 min
ngrok AI Gateway: One Private Gateway to Rule All AI Models
Deep dive into how ngrok AI Gateway manages OpenAI, Anthropic, and self-hosted models through unified keys and entry points, delivering observability, access control, and fallbacks for production AI.
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·3 min
Rust's New Contribution Policy Explained: How Open Source Communities Coexist with LLM-Generated Code
Rust's new LLM code contribution policy grants reviewer exemptions and seeks balance between AI tool adoption and code quality. Deep analysis of the controversy and its impact on open source.
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·3 min
GitHub Daily · August 7: The Invisible Infrastructure of Identity Authentication and Open Knowledge
GitHub Trending Aug 7 highlights: authentik (open-source IAM), Google Guava (Java core library), and ChinaTextbook reveal growing demand for self-hosted identity, solid engineering foundations, and open knowledge infrastructure.
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·3 min
Wallfacer: A Terminal Session Manager Designed for Claude Code
Wallfacer is a terminal session manager designed for AI coding tools like Claude Code, solving multi-session parallel management challenges for developers.
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·3 min
Single-Image 3D Garment Model Generation in Seconds: AI Reconstruction Technology Explained
Deep dive into AI single-image 3D garment reconstruction technology, from technical principles (parametric templates, implicit representations, diffusion models) to applications (virtual try-on, game assets, e-commerce displays).
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·3 min
Five Local LLMs Built a Small Town, and Emergent Behaviors Included Facebook and a Duck Credit Bureau
A developer lets Mistral, Qwen, Llama and other local LLMs autonomously live in virtual town Pepperton. AI residents spontaneously invent social networks, conspiracy theories, and case law.
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·3 min
Machine Learning Project Portfolio: A Complete Guide to Building Resume-Worthy ML Projects
From project selection to deployment, learn how to build resume-worthy ML projects. Covers end-to-end workflows, tiered project recommendations, and practical tips for ML learners transitioning from beginner to intermediate.
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