• https://x.com/windsurf_ai/status/1907497638267924566?t=_aGYldIgu-d3uKJXTarS1w&s=19
    https://x.com/windsurf_ai/status/1907497638267924566?t=_aGYldIgu-d3uKJXTarS1w&s=19
    ·150 Views ·0 Reviews
  • Augment Code is developer AI for teams that integrates your organization's specific knowledge and practices into every interaction. We put your team's collective coding knowledge at your fingertips, helping every developer work smarter and faster.

    Why it's a game-changer:
    #1 Open-source agent on SWE-Bench Verified (65.4% success rate!)
    Competes directly with Cursor & Windsurf — but faster, smarter, and memory-aware
    Supports VSCode, JetBrains, Neovim, and Vim
    Native support for MCP (Multi-Component Prompting) — plug in APIs, SQL, CLI tools
    Powerful features like Next Edit, persistent memory, and visual debugging from screenshots
    Handles huge codebases with 39,000+ lines, no context limit issues

    - https://www.augmentcode.com/
    - https://docs.augmentcode.com/introduction
    - https://youtu.be/NszE7xKpI5Y?si=Nr6LAFuMWgBFMH90
    - #1 SWE Bench Test: https://www.augmentcode.com/blog/1-open-source-agent-on-swe-bench-verified-by-combining-claude-3-7-and-o1
    - Blog Post: https://www.augmentcode.com/blog/meet-augment-agent
    - Demo Video: https://x.com/DataChaz/status/1907497648325800118

    #AugmentAgent #aicoding #agenticai #cursoralternative #opensourceai #NeovimAI #VSCodeAI #claude37 #openai #AIDeveloperTools #NextEdit #VisualDebugging #aiprogramming #softwareengineering #mcp
    Augment Code is developer AI for teams that integrates your organization's specific knowledge and practices into every interaction. We put your team's collective coding knowledge at your fingertips, helping every developer work smarter and faster. 🚀 Why it's a game-changer: #1 Open-source agent on SWE-Bench Verified (65.4% success rate!) Competes directly with Cursor & Windsurf — but faster, smarter, and memory-aware Supports VSCode, JetBrains, Neovim, and Vim Native support for MCP (Multi-Component Prompting) — plug in APIs, SQL, CLI tools Powerful features like Next Edit, persistent memory, and visual debugging from screenshots Handles huge codebases with 39,000+ lines, no context limit issues - https://www.augmentcode.com/ - https://docs.augmentcode.com/introduction - https://youtu.be/NszE7xKpI5Y?si=Nr6LAFuMWgBFMH90 - #1 SWE Bench Test: https://www.augmentcode.com/blog/1-open-source-agent-on-swe-bench-verified-by-combining-claude-3-7-and-o1 - Blog Post: https://www.augmentcode.com/blog/meet-augment-agent - Demo Video: https://x.com/DataChaz/status/1907497648325800118 #AugmentAgent #aicoding #agenticai #cursoralternative #opensourceai #NeovimAI #VSCodeAI #claude37 #openai #AIDeveloperTools #NextEdit #VisualDebugging #aiprogramming #softwareengineering #mcp
    WWW.AUGMENTCODE.COM
    Augment Code – Developer AI for real work
    Experience the AI platform that truly understands your codebase. Our developer AI helps teams code faster, make smarter decisions, and unlock collective knowledge. Try free today.
    ·231 Views ·0 Reviews
  • Discover how Model Context Protocol (MCP) is revolutionizing the way AI tools like Cursor AI , Windsurf and Claude communicate and integrate with software. Learn why this "universal translator" for AI agents could be the next big breakthrough in software development.

    This video breaks down how MCP enables seamless connections between AI tools and services, from Figma integration to Supabase Postgres database management. Perfect for developers, tech enthusiasts, and anyone interested in the future of AI-powered software development.

    Key topics covered:

    Understanding Model Context Protocol
    Real-world applications in software development
    Integration with popular dev tools Figma, Supabase
    Future implications for AI agents

    #ModelContextProtocol #AITools #SoftwareDev #BuildWithAI #AIAgents #OpenSource #TechInnovation #AIIntegration #FutureOfSoftware #DevTools

    Tools mentioned: Cursor AI, Glama, Smithery, Supabase, Figma

    COURSE & COMMUNITY
    If you want to learn how to build apps with AI checkout my course and community at SwitchDimension.com http://switchdimension.com currently in Waitlist

    LINKS
    Glama http://glama.ai
    Build With AI Resources http://notes.switchdimension.com
    https://youtu.be/japoGcdbZGw?si=79cpBLkcVyEzo4EG
    🚀 Discover how Model Context Protocol (MCP) is revolutionizing the way AI tools like Cursor AI , Windsurf and Claude communicate and integrate with software. Learn why this "universal translator" for AI agents could be the next big breakthrough in software development. This video breaks down how MCP enables seamless connections between AI tools and services, from Figma integration to Supabase Postgres database management. Perfect for developers, tech enthusiasts, and anyone interested in the future of AI-powered software development. 🔑 Key topics covered: Understanding Model Context Protocol Real-world applications in software development Integration with popular dev tools Figma, Supabase Future implications for AI agents #ModelContextProtocol #AITools #SoftwareDev #BuildWithAI #AIAgents #OpenSource #TechInnovation #AIIntegration #FutureOfSoftware #DevTools Tools mentioned: Cursor AI, Glama, Smithery, Supabase, Figma COURSE & COMMUNITY If you want to learn how to build apps with AI checkout my course and community at SwitchDimension.com http://switchdimension.com currently in Waitlist LINKS Glama http://glama.ai Build With AI Resources http://notes.switchdimension.com https://youtu.be/japoGcdbZGw?si=79cpBLkcVyEzo4EG
    ·823 Views ·0 Reviews
  • To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/DevelopersDigest/ . You’ll also get 20% off an annual premium subscription.

    Build and Deploy Your Own Model Context Protocol Server with Cloudflare Workers

    In this video, I show you how to build and deploy your own Model Context Protocol (MCP) server using CloudFlare workers. MCP, introduced by Anthropic last year, has gained traction with integrations in Claude Desktop App, Cursor, and Windsurf. I'll guide you through setting up the server, initializing a project, and deploying it, complete with a TypeScript implementation. Also, learn how to handle function invocations and update your MCP servers. Don't forget to try out Brilliant.org for enhancing your analytical skills!

    https://youtu.be/3Jsh4brTjE0?si=3J8_2Wu2DzjYqNf0
    To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/DevelopersDigest/ . You’ll also get 20% off an annual premium subscription. Build and Deploy Your Own Model Context Protocol Server with Cloudflare Workers In this video, I show you how to build and deploy your own Model Context Protocol (MCP) server using CloudFlare workers. MCP, introduced by Anthropic last year, has gained traction with integrations in Claude Desktop App, Cursor, and Windsurf. I'll guide you through setting up the server, initializing a project, and deploying it, complete with a TypeScript implementation. Also, learn how to handle function invocations and update your MCP servers. Don't forget to try out Brilliant.org for enhancing your analytical skills! https://youtu.be/3Jsh4brTjE0?si=3J8_2Wu2DzjYqNf0
    ·654 Views ·0 Reviews
  • https://www.youtube.com/watch?v=OKmwTv0BHwE&ab_channel=BetterStack
    ByteDance, TikTok owners, enter the AI IDE space with Trae AI, offering a polished VSCode fork featuring free access to Claude Sonnet and GPT-4. This walkthrough explores its builder mode, chat features, and UI improvements while examining how it stacks up against competitors like Cursor and WindSurf.
    https://www.youtube.com/watch?v=OKmwTv0BHwE&ab_channel=BetterStack ByteDance, TikTok owners, enter the AI IDE space with Trae AI, offering a polished VSCode fork featuring free access to Claude Sonnet and GPT-4. This walkthrough explores its builder mode, chat features, and UI improvements while examining how it stacks up against competitors like Cursor and WindSurf.
    ·947 Views ·0 Reviews
  • Some suggestions to deal with the Rate limit crisis ...
    Useful links:
    - https://github.com/cline/cline/discussions/871?sort=new
    - https://github.com/RooVetGit/Roo-Code
    - https://github.com/cline/cline/issues/923
    - https://github.com/cline/cline/issues/713

    Useful Solutions to consider:
    1. Try 1 api request per minute seems like its not causing anymore 429 error so I think this would be a good idea

    2. This issue seems to be related to the amount of context being sent to the API every time. The further you get in a conversation the more context there is, and by default Anthropic imposes a limit of 40,000 tokens up (though it seems like you have 80,000 somehow).
    One potential fix for this would be to just have Cline auto retry when it gets a rate limit error.

    2.1 Another would be to make it so that Cline heavily truncates the amount of context being sent back to the API (I believe Cursor and Windsurf do this). Neither solution is perfect though. Truncating the context leads to far more bad outcomes; while an auto-retry means that you're going to be sitting there and waiting a while for your response.

    3. I am not hitting rate limit issues with https://github.com/RooVetGit/Roo-Cline

    4. You can use the open router of claude sonnet 3.5. The limit is gone.

    5. For how long and how many repeated attemps to edit it? It is collecting context for the whole time. If you ask it to change something 30times in small file it can be hunded or thousands of tokens because the previous context. If I just cut the task into smaller ones i do not hit any limit of course.
    It looks like a lot of people have absolutely no idea how LLM AI works.

    6. For me it is failing inly when I go over 2USD in total price for current task. For several steps it is ok and then it starts limiting, but really if I wait for 5 minutes it is doable (just few times I hit the 200k token limit).

    7. I think the best solution is to create a wait/sleep option on cline that when it receives this error, it waits for 60 seconds and try again.
    Some suggestions to deal with the Rate limit crisis ... Useful links: - https://github.com/cline/cline/discussions/871?sort=new - https://github.com/RooVetGit/Roo-Code - https://github.com/cline/cline/issues/923 - https://github.com/cline/cline/issues/713 Useful Solutions to consider: 1. Try 1 api request per minute seems like its not causing anymore 429 error so I think this would be a good idea 2. This issue seems to be related to the amount of context being sent to the API every time. The further you get in a conversation the more context there is, and by default Anthropic imposes a limit of 40,000 tokens up (though it seems like you have 80,000 somehow). One potential fix for this would be to just have Cline auto retry when it gets a rate limit error. 2.1 Another would be to make it so that Cline heavily truncates the amount of context being sent back to the API (I believe Cursor and Windsurf do this). Neither solution is perfect though. Truncating the context leads to far more bad outcomes; while an auto-retry means that you're going to be sitting there and waiting a while for your response. 3. I am not hitting rate limit issues with https://github.com/RooVetGit/Roo-Cline 4. You can use the open router of claude sonnet 3.5. The limit is gone. 5. For how long and how many repeated attemps to edit it? It is collecting context for the whole time. If you ask it to change something 30times in small file it can be hunded or thousands of tokens because the previous context. If I just cut the task into smaller ones i do not hit any limit of course. It looks like a lot of people have absolutely no idea how LLM AI works. 6. For me it is failing inly when I go over 2USD in total price for current task. For several steps it is ok and then it starts limiting, but really if I wait for 5 minutes it is doable (just few times I hit the 200k token limit). 7. I think the best solution is to create a wait/sleep option on cline that when it receives this error, it waits for 60 seconds and try again.
    GITHUB.COM
    GitHub - RooVetGit/Roo-Code: Roo Code (prev. Roo Cline) is a VS Code plugin that enhances coding with AI-powered automation, multi-model support, and experimental features
    Roo Code (prev. Roo Cline) is a VS Code plugin that enhances coding with AI-powered automation, multi-model support, and experimental features - RooVetGit/Roo-Code
    ·769 Views ·0 Reviews
  • https://codeium.com/windsurf
    https://codeium.com/windsurf
    CODEIUM.COM
    Windsurf Editor by Codeium
    Tomorrow's editor, today. Windsurf Editor is the first AI agent-powered IDE that keeps developers in the flow. Available today on Mac, Windows, and Linux.
    ·292 Views ·0 Reviews