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  1. This article presents findings from a survey of over 900 software engineers regarding their use of AI tools. Key findings include the dominance of Claude Code, the mainstream adoption of AI in software engineering (95% weekly usage), the increasing use of AI agents (especially among staff+ engineers), and the influence of company size on tool choice. The survey also reveals which tools engineers love, with Claude Code being particularly favored, and provides demographic information about the respondents. A longer, 35-page report with additional details is available for full subscribers.
  2. A guide to supercharging Claude Code with Skills and the Model Context Protocol (MCP), including running Claude Code in an IDE like Cursor or VS Code. It covers setting up Skills, connecting to MCP servers, and combining both for powerful workflows.
  3. This article explains how the Cursor IDE indexes a codebase, focusing on its approach to understanding code structure and relationships beyond simple text indexing. It details the use of Language Server Protocol (LSP) and the creation of a graph database to represent the codebase, enabling features like code navigation, refactoring, and accurate code completion.
  4. An article detailing FastRender, a web browser built by Cursor using thousands of parallel coding agents. It explores the project's goals, architecture, and surprising findings about using AI for software development.
  5. Wilson Lin at Cursor has been experimenting with a large fleet of autonomous coding agents, successfully building a web browser from scratch with over a million lines of code. The article details the approach, the resulting browser's functionality (and minor glitches), and its implications for AI-assisted software development.
  6. One source of truth for all your AI CLI skills. Install once, sync everywhere — Claude, Cursor, Codex, Gemini, and 10+ more.
  7. An extensible Model Context Protocol (MCP) server that provides intelligent semantic code search for AI assistants. Built with local AI models using Matryoshka Representation Learning (MRL) for flexible embedding dimensions.
  8. A workshop that teaches you how to build your own coding agent. Similar to Roo code, Cline, Amp, Cursor, Windsurf or OpenCode.
    2025-08-24 Tags: , , , , by klotz
  9. An overview of the top AI-powered coding tools available in 2025, including Cursor, Claude Code, Windsurf, VSCode, and others, highlighting their features and popularity among developers.

    | **Tool** | **Developer** | **Key Features** | **Notes** |
    |-------------------|----------------------------|---------------------------------------------------------------------------------|---------------------------------------------------------------------------|
    | **Cursor** | Anysphere | AI-powered autocomplete, code rewriting, agent mode, integrates with Web resources | Most popular AI-focused IDE, fork of VSCode |
    | **Claude Code** | Anthropic | Works in MacOS/Linux terminal, command-line interface, high control over workflow | Preferred by developers who like command-line tools |
    | **Windsurf** | Codeium (acquired by OpenAI)| AI autocorrect, agentic AI, Cascade interface, works in other IDEs (e.g., Jetbrains) | Rebranded from Codeium, acquired by OpenAI for $3 billion |
    | **VSCode** | Microsoft | Extensions support, GitHub Copilot (agent mode in preview), slow AI integration | Popular IDE, but slower to adopt AI features compared to startups |
    | **Vibe Coding Tools** | Various (e.g., Lovable, Replit, Bolt, Firebase) | Chat interface, no software installation, browser-based, minimal coding required | Designed for "vibe coding," where users describe what they want to build |
    | **Other Tools** | OpenAI, Mistral, Apple, etc. | Codex (OpenAI), Mistral Code, Apple’s AI tools, Zed, Devin (AI software engineer) | Rapidly evolving, many new tools emerging frequently |
  10. A repository containing extracted system prompts and tools for various AI models including FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, and VSCode Agent. It offers insights into the structure and functionality of these models and includes a security notice for AI startups.

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