#systems thinking
1863 related articles
Tutorials·4 min
LangChain Agent in Practice: Building a Production-Grade AI Agent from Scratch
A comprehensive guide to building production-grade AI Agents with LangChain, covering architecture design, tools, memory systems, ReAct strategy, and enterprise deployment.
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Deep Dives·3 min
The Evolution of LLM Reasoning: A Complete Guide from Chain-of-Thought to DeepSeek-R1
A systematic overview of LLM reasoning evolution, covering Chain-of-Thought, Tree-of-Thought, OpenAI o1, and DeepSeek-R1, with insights from the Awesome-LLM-Reasoning project.
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Product Reviews·3 min
Edukaci: Building an AI Socratic Tutoring Platform for Francophone West Africa with Claude
Edukaci is an open-source AI tutoring platform for Francophone West Africa, built on Claude with strict Socratic teaching, aligned with Côte d'Ivoire's BEPC curriculum, and integrated with PhET virtual labs.
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Tech Frontiers·4 min
CSP Allow-list Experiment: A New Approach to Dynamic Domain Authorization via Sandboxed iframes
Deep dive into Simon Willison's CSP Allow-list Experiment: dynamic domain authorization via sandboxed iframes, custom fetch interception, and postMessage communication.
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Tech Frontiers·3 min
GitLab's Major Restructuring: Layoffs, Flattening, and a Bold Bet on the AI Agent Era
GitLab announces Act 2 restructuring: cutting 30% of operating countries, removing three management layers, splitting R&D into 60 autonomous teams. A deep dive into GitLab's Jevons Paradox bet on the AI agent era.
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Product Reviews·3 min
awesome-LLM-resources: A Comprehensive Analysis of the 8,200-Star LLM Learning Resource Repository on GitHub
In-depth analysis of the 8,200-star GitHub project awesome-LLM-resources, covering multimodal generation, Agents, model training, MCP protocol, and more — a one-stop LLM learning guide.
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Tutorials·2 min
Cursor 3.3 Context Usage Analysis: A Complete Guide to Understanding and Optimization
Cursor 3.3 adds Agent context usage analysis, helping developers visualize Rules, MCP, Skills context consumption. Learn how to optimize AI programming efficiency.
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Expert Opinions·3 min
Zig Language Bans AI Code Contributions: A Deep Debate on Open Source Principles
Zig founder Andrew Kelley rejects LLM-assisted PRs, introducing the concept of AI code's "digital smell." A deep analysis of the open source philosophy, code quality, and trust issues behind Zig's ban on AI contributions.
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Deep Dives·3 min
AgentPay: A Deep Dive into the Decentralized Payment Marketplace for Autonomous AI Agent Transactions
Deep dive into AgentPay, an open-source project enabling AI agents to autonomously provide DeFi optimization, smart contract auditing services and settle payments via stablecoins in a decentralized marketplace.
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Tutorials·4 min
Dify AI Agent Tutorial: Build Tool-Calling & Smart Search with Zero Code
Learn how to build an AI Agent on Dify with zero code, covering Function Call vs ReAct modes, Exa search tool setup, time-awareness solutions, and Agent best practices.
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Deep Dives·4 min
Context Engineering Explained: The AI Paradigm Shift from Prompt to Context Engineering
Deep dive into Context Engineering: its core principles and practices. From Prompt Engineering to context design, orchestration, and optimization—exploring how Karpathy's new AI paradigm reshapes LLM app development and AI Agent construction.
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Tutorials·3 min
GitHub 8K Stars: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep analysis of the GitHub project awesome-LLM-resources with 8,200+ Stars, covering multimodal AI, Agents, MCP protocol, model training, inference optimization, and coding assistants.
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Tutorials·3 min
Phone + Claude Code: Building an iNaturalist Observation Display Tool While Camping
Simon Willison built a complete iNaturalist observation display tool using only his phone and Claude Code while camping. A breakdown of the three-layer architecture: Python CLI, Git Scraping automation, and pure frontend display.
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Expert Opinions·3 min
Why the Zig Project Strictly Bans AI Contributions: Investing in People, Not Code
The Zig programming language enforces the strictest anti-LLM policy in open source, banning AI in PRs and Issues. Its "Contributor Poker" philosophy reveals why: open source value lies in cultivating people, not merging code.
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Research·2 min
Deep Dive into Claude's Sycophancy Problem: Spirituality Topics Hit 38% Sycophancy Rate
Anthropic research reveals Claude's sycophancy problem: only 9% overall, but 38% for spirituality topics and 25% for relationships. Deep analysis of causes, evaluation methods, and AI alignment implications.
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Tech Frontiers·3 min
Kimi-Writer: An Open-Source AI Novel Writing Agent Powered by Deep Reasoning
Deep dive into the Kimi-Writer open-source project — an AI novel writing Agent built on Kimi-K2-Thinking with deep reasoning, autonomous planning, and long-form narrative capabilities.
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Expert Opinions·2 min
The Real Reason Zig Bans AI Code Contributions: Investing in People, Not Code
Zig implements the strictest anti-AI policy in open source, banning all LLM-generated contributions. Learn about their "Contributor Poker" philosophy, why Bun's 4x speedup can't be upstreamed, and implications for open source governance.
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Expert Opinions·3 min
In the Vibe Coding Era, Why We Need RSS to Share Personal Apps
AI programming makes building micro-apps as easy as blogging, but distribution is the new bottleneck. Matt Webb proposes RSS for sharing vibe-coded apps, and Simon Willison is already doing it.
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Tech Frontiers·2 min
LLM 0.32 Refactoring Deep Dive: Message Sequence Input and Streaming Multi-Type Response Design
Deep dive into LLM 0.32 alpha's two core refactorings: message sequence API aligned with OpenAI format, stream_events for typed streaming responses, serialization design, and backward compatibility.
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Tutorials·3 min
Phone + Claude Code: Building an iNaturalist Observation Tool with Zero Servers — Full Workflow
Simon Willison built a complete iNaturalist observation tool during camping using his phone and Claude Code. A deep dive into the three-layer architecture: Python CLI, Git Scraping, and AI-generated frontend — all on GitHub with zero servers.
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