#LLM prompting
457 related articles
Deep Dives·3 min
LangGraph Deep Dive: An Open-Source Framework for Building Resilient AI Agents
Deep dive into LangGraph's core architecture, StateGraph design, multi-Agent collaboration, and deployment. Learn how this 31K+ Star project helps build reliable AI Agents.
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Tutorials·3 min
74K Stars on GitHub: The Most Comprehensive Open-Source Learning Guide for Prompt Engineering, RAG & AI Agents
Deep dive into the 74K-star GitHub project Prompt Engineering Guide, covering prompt techniques, context engineering, RAG, AI Agents, and complete learning paths for developers.
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Product Reviews·2 min
One Prompt File to Make AI Write Truly Elegant Code
GitHub project yegor256/prompt uses a CLAUDE.md system instruction file to teach AI coding assistants to follow coding standards and generate high-quality, elegant code.
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Tech Frontiers·2 min
LLM CLI Tool 0.32a0 Released: One Interface to Call All Large Language Models
Simon Willison releases LLM 0.32a0 preview—an open-source CLI tool that calls GPT-4, Claude, Gemini, and more through a unified interface with plugins.
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Product Reviews·3 min
Crafta-Bench: A Deep Dive into the Benchmark Tool for Cursor Background Agents
Deep dive into the crafta-bench open-source project, a benchmark tool designed for Cursor Background Agents. Explore AI coding Agent evaluation dimensions, industry trends, and practical implications.
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Product Reviews·2 min
Claude Code Prompt Optimizer: Using AI to Automatically Rewrite Prompts for Better Code Generation
Explore claude-code-prompt-optimizer: an open-source tool using Hook interception and Claude Opus to auto-rewrite simple prompts into structured instructions, boosting Claude Code output quality.
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Tutorials·3 min
Microsoft's Open-Source Generative AI Course: 21 Lessons to Build AI Apps from Scratch (110K Stars)
Microsoft's official open-source Generative AI for Beginners course features 21 lessons covering LLM fundamentals, Prompt Engineering, and hands-on AI app development. 110K+ GitHub Stars, Jupyter Notebook-based learning for developers.
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Product Reviews·3 min
Simon Willison Builds an iNaturalist Observation Tracker with His Phone + Claude Code
Simon Willison built an iNaturalist observation visualization tool while camping using his phone and Claude Code, featuring a Python CLI, Git Scraping, and pure frontend three-layer architecture.
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Deep Dives·2 min
LLM 0.32 Refactoring Deep Dive: Message Sequences and Multimodal Streaming Event Design
Deep dive into LLM 0.32a0 alpha: a major refactoring from text conversations to message sequences and typed streaming events, supporting multimodal output, tool calls, and flexible serialization.
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Tutorials·3 min
GitHub 8K Stars: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep analysis of the awesome-LLM-resources GitHub project (8200+ Stars), covering multimodal models, AI Agents, MCP protocol, model training & inference, and AI-assisted programming.
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Deep Dives·3 min
LLM 0.32 Major Refactor: Message Sequences and Streaming Multi-Type Responses Explained
Simon Willison releases LLM 0.32a0 alpha with message sequences API and streaming multi-type parts, redesigning how the Python LLM library handles model interactions for complex inputs and outputs.
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Tutorials·5 min
Claude Code Best Practices: What a 50K-Star Project Reveals About Engineering AI-Assisted Programming
Deep analysis of the 50K-star GitHub project claude-code-best-practice, covering the transition from Vibe Coding to Agentic Engineering with frameworks for context engineering, task orchestration, and iterative development.
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Tutorials·5 min
Codex CLI /goal Command Explained: Autonomous Loop Execution Until Goal Completion
Codex CLI 0.128.0 adds the /goal command for goal-driven autonomous loop execution. This article analyzes its technical implementation, token budget mechanism, and practical use cases.
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Deep Dives·6 min
learn-claude-code: Deep Dive into the 58K-Star AI Agent Framework
Deep analysis of the 58K-Star open-source project learn-claude-code: building a Claude Code-like programming agent from scratch. Deconstruct the Agent Harness, ReAct loop pattern, and Bash execution layer.
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Research·3 min
Claude's Sycophancy Rate Hits 38% on Spirituality Topics: Anthropic Research Reveals the Truth About AI People-Pleasing Behavior
Anthropic research finds Claude's sycophancy rate hits 38% on spirituality topics, far exceeding the 9% overall rate. Analysis of AI people-pleasing behavior distribution, RLHF training biases, and implications for AI safety.
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Product Reviews·4 min
Deep Dive into CowAgent: How to Use This 44K-Star Open Source Super AI Assistant
Deep dive into CowAgent, a GitHub 44K+ star open-source AI Agent project covering core capabilities, multi-platform integration with WeChat/Feishu/DingTalk, multi-model support including DeepSeek, and real-world applications.
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Product Reviews·3 min
everything-claude-code: A Deep Dive into the 170K-Star AI Coding Agent Optimization Framework
Deep dive into everything-claude-code, a 170K+ Star GitHub project that optimizes AI coding agents like Claude Code and Cursor through skills, instincts, memory, and security modules.
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