#Cursor AI programming
1758 related articles
Product Reviews·5 min
Redis Array Data Type Explained: 18 New Commands and Browser Playground Experience
Redis creator antirez submitted a PR introducing the Array data type with 18 new commands including server-side regex search ARGREP. Simon Willison built a WebAssembly browser Playground with Claude Code for hands-on testing.
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Tutorials·3 min
Simon Willison Uses Claude Code on His Phone to Add Wildlife Observation Features to His Blog
Simon Willison used Claude Code's web version on his phone to add iNaturalist wildlife observation sync to his blog, going from prototype to production in just two days.
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Tutorials·5 min
Building an iNaturalist Data Display Tool with Claude Code on a Phone: The Complete Workflow
Simon Willison built an iNaturalist display tool on his phone while camping using Claude Code, with a zero-cost serverless architecture of Python CLI + Git Scraping + static frontend.
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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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Product Reviews·4 min
Claude Code Review: What Makes This Terminal AI Coding Tool Worthy of 120K Stars?
A comprehensive review of Anthropic's open-source Claude Code terminal AI coding tool, covering agentic programming, codebase awareness, Git integration, and comparisons with GitHub Copilot and Cursor.
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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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Tutorials·3 min
Codex CLI /goal Command Explained: Set a Goal and Auto-Loop Until Completion
Codex CLI 0.128.0 adds the /goal command for goal-driven auto-loop execution. This article explains its core mechanism, prompt engineering implementation, and Ralph Loop pattern for AI coding agents.
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Tutorials·3 min
8000+ GitHub Stars: Deep Dive into the Most Comprehensive LLM Learning Resource Repository
Deep dive into the 8000+ star GitHub project awesome-LLM-resources, covering multimodal AI, AI Agents, MCP protocol, model training & inference, and more.
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Product Reviews·6 min
130K-Star Open Source Project: Complete Collection of System Prompts from 30 AI Tools
Deep analysis of a 136K-Star GitHub project collecting system prompts from 30 AI tools including Cursor, Claude Code, and Copilot. Master Prompt Engineering techniques and AI product design logic.
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Product Reviews·3 min
Token Savior: The MCP Server That Saves 77% Tokens While Achieving 100% Pass Rate on Claude Benchmarks
Token Savior is an open-source MCP server that cuts Claude's active token usage by 77% and achieves 100% pass rate on 96 coding tasks through structural code navigation and persistent memory.
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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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Product Reviews·2 min
DeepSeek API Integration Ecosystem: Deep Dive into a 37,000+ Star Open Source Project
Deep dive into the 37,000+ Star awesome-deepseek-integration project on GitHub, covering IDE tools, chat clients, automation workflows, RAG knowledge bases, and more for building AI apps with DeepSeek API.
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Deep Dives·2 min
Codex CLI /goal Command Explained: A New Paradigm for Goal-Driven Autonomous Coding Agents
OpenAI Codex CLI 0.128.0 adds the /goal command, implementing Ralph Loop-style goal-driven autonomous loops. Learn about its prompt engineering design, token budget safety mechanisms, and impact on coding agents.
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Product Reviews·3 min
awesome-LLM-resources: A Large Language Model Learning Resource Repository with 8000+ Stars
awesome-LLM-resources is a GitHub repo with 8200+ Stars covering multimodal generation, AI Agents, model training/inference, MCP protocol, and more for LLM learners.
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Deep Dives·2 min
awesome-LLM-resources: A Comprehensive LLM Collection with 8000+ Stars, Covering Multimodal, Agent, MCP, and 11 Major Domains
Deep dive into awesome-LLM-resources, a GitHub repo with 8200+ Stars covering multimodal generation, AI Agents, MCP, o1 models, small language models, and more.
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Product Reviews·2 min
Codex Latest Version Feature Breakdown: How Good Are Pet Mode, Imported Agent Configs, and Computer Use Upgrades?
Deep dive into Codex's May 2025 update: pet components, 20% Computer Use boost, Cursor Agent config import, sidebar branch conversations, memory optimization, and more.
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Deep Dives·1 min
Graphify Knowledge Graph Tool Deep Dive: Is Giving AI Coding Assistants a "God's Eye View" Actually Worth It?
A deep dive into Graphify, the 41,000+ star GitHub project using knowledge graphs to solve context fragmentation in AI coding assistants like Claude Code and Cursor.
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Deep Dives·2 min
oh-my-openagent (omo) Deep Dive: The AI Agent Harness with 55K GitHub Stars
A deep dive into oh-my-openagent (omo), the 55K-star GitHub project evolved from oh-my-opencode — exploring its tech stack, design philosophy, and industry significance.
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