#code knowledge graph
1123 related articles
·3 min
Understand Anything: The AI Skill That Turns Code into Interactive Knowledge Graphs
Understand Anything is a high-star open-source GitHub skill that runs static analysis on any codebase and generates interactive knowledge graphs. It supports Claude Code, Cursor, Copilot and other agents, letting engineers ask questions in natural language with path references.
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·3 min
Understand Anything: The AI Skill That Turns Code into an Interactive Knowledge Graph
Understand Anything is a high-star open-source GitHub skill that performs static analysis on any codebase to generate an interactive knowledge graph, supporting Claude Code, Cursor, Copilot and more.
Read more →
·3 min
Understand Anything: The AI Skill That Turns Code into an Interactive Knowledge Graph
Understand Anything is a high-star open-source GitHub skill that performs static analysis on any codebase to generate interactive knowledge graphs, supporting Claude Code, Cursor, Copilot and more.
Read more →
·4 min
Getting Started with AI Agent Development: A Complete Guide from Concept to Practice
A comprehensive guide to AI Agent architecture and development, covering automated marketing, intelligent customer service, and investment analysis scenarios with single and multi-agent collaboration.
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·4 min
Faithfulness of the Burau Representation at n=4 Proven: A Key Breakthrough on a Classical Problem
The faithfulness of the Burau representation of braid groups at n=4 has been unresolved for nearly ninety years. Recent research finally proves it faithful, with deep implications for knot theory, topological quantum computing, and cryptography.
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·4 min
Faithfulness of the Burau Representation at n=4 Proven: A Key Breakthrough on a Classical Problem
The faithfulness of the Burau representation of braid groups at n=4 has been unresolved for nearly 90 years. A recent proof finally settles this critical case, with implications for knot theory, topological quantum computing, and cryptography.
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·3 min
Deconstructing Agents: Task Decomposition, Context Compression, and the Case Against Heavy Frameworks
A deep engineering analysis of Agent internals: how LLMs decompose tasks via tool calling, why context compression and memory are essential, and why solo developers should avoid heavy frameworks.
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·3 min
Poolside Laguna Model Launch: Can Silicon Valley's Open-Source Push Catch Up to China's AI?
Poolside launches Laguna open-weight model after 18 months of silence, pitting 118B parameters against Kimi K3's 2.8 trillion. Can Silicon Valley's open-source push close the gap with Chinese AI?
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·3 min
Steam Malware Attribution: How Bitcoin, Cookies, and Food Delivery Orders Identified the Attacker
Investigators traced Steam malware to its creator using Bitcoin transaction chains, Google Cookies, and Uber Eats orders—revealing how cross-referencing digital evidence destroys the illusion of online anonymity.
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·3 min
Open Source vs. Closed Source: Who Will Win the US-China AI Battle?
Chinese open-source models DeepSeek and Kimi K3 are challenging OpenAI's closed-source dominance. Analyzing the business logic, chip ecosystems, and US-China strategic dynamics behind the open vs. closed AI debate.
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·3 min
How to Fix AI Tool Error 1076? Root Cause Analysis and Solutions
Getting "Something went wrong 1076" from an AI service? This article analyzes common causes including server overload and session issues, with practical troubleshooting steps to restore normal usage.
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·2 min
Interview Prep Strategy for Senior Data Scientists: How to Prepare Efficiently Without Burning Out
Senior data scientist interviews are broad and multi-round. Learn an efficient evergreen fundamentals + targeted sprint strategy covering ML, SQL, system design, and mindset tips.
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·5 min
The Five Stages of AI Agent Architecture Evolution: The Real Path from Model Calls to Production Runtime
Deep dive into the five evolution stages of AI Agent architecture: model calls, tool calls, workflows, Agent loops, and production runtime. Learn the responsibility boundaries and design principles.
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·4 min
AI Agent Development in Practice: A Complete Path from Zero to Production
A systematic guide to AI Agent development covering core modules, framework selection, tool calling, data preparation, and production deployment to help developers build production-ready Agent applications.
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·3 min
Agent Skills Explained: Plug-and-Play Skill Packs for AI
A deep dive into Agent Skills architecture: modular design, progressive disclosure mechanism, and how it differs from Multi-Agent systems for AI capability extension.
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·5 min
The Complete Guide to AI Agent Development: A Four-Stage Progressive Roadmap
A systematic guide to AI Agent development across four stages: LLM fundamentals, ReAct paradigm, memory & tools, and multi-agent collaboration for developers.
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·3 min
Self-Hosting Hardware Upgrade Guide: From an Old NUC to a Game Server and Beyond
A detailed guide to self-hosting hardware upgrades: analyzing NUC performance bottlenecks, comparing used enterprise Mini PCs and custom ITX builds for Jellyfin, Immich, and Minecraft servers.
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·3 min
Poolside Laguna Model Release: Can Silicon Valley Open Source Catch Up with Chinese AI?
Poolside releases its Laguna open-weight model after 18 months of silence, challenging Moonshot's Kimi K3 with 118B vs 2.8T parameters. Can Silicon Valley close the gap with Chinese AI?
Read more →
·3 min
Open Source vs. Closed Source: Who Will Win the US-China AI Battle?
Chinese open-source models DeepSeek and Kimi K3 challenge OpenAI's closed-source dominance. Analysis of open vs. closed AI strategies, CUDA moat erosion, and the US-China strategic battle for AI supremacy.
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·4 min
Building a $5,000 Home Solar System: Budget Breakdown, DIY Process & Payback Analysis
A detailed guide to building a home solar power and storage system for under $5,000, covering PV panel and LiFePO4 battery selection, budget allocation, DIY installation risks, and 5-6 year payback analysis.
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