Hello world
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Interview with @pasternak because SuperFriend is LIVE!!
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Nothing is more important than time. Getting a new dev up to speed on Day 1 is really difficult. Codebases don’t come with a map. It takes time to find your way around all the complexities. What if everyone can have a SuperFriend?
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Roadmap: - Scale the backend - Open-source a version of SuperFriend - Market a ton on various platforms - Make SuperFriend the friend for every coder in the world
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Hello SUPERFRIENDS. Comment and QT $SUPFRIEND. I will randomly pick 10 SuperFriends and send a hoodie to you
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We are trying to support as many coding languages as possible
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You can use SuperFriend to analyze and visualize open-source codebases — breaking down complex AIagents architectures and helping developers understand how agents collaborate and operate. We used the open-source multi-agent framework @swarms_corp as our demo project. Here’s the full breakdown #DevTools #AIagents
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Hey SuperFriends. UI updates coming up..
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waSSUP FRIENDS??!!!!!
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New landing. Will update the website soon!
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We want to positively impact lives with great technology. We’re gonna start by helping developers grasp large codebases and save time. Join our Telegram to suggest how we should make this possible! t.me/+J5CfHOl7CSQwOTAx
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Here's our technical deep dive on SuperFriend. We want SuperFriend to more than a tool; it's a new way of experiencing and sharing the world of software development. theaiworld.substack.com/p/th…
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Huge influx of users. Need to scale the backend!
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Now it's possible to upload and process 100GB of files.
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SUPER excited about this
Hello SUPERFRIENDS. Comment and QT $SUPFRIEND. I will randomly pick 10 SuperFriends and send a hoodie to you
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We are building SuperFriend for every developer, traditional or not. First, we’re helping you visualize and understand your codebase. Next, we will be tackling how you share progress—think Linear, but outward-facing. We’ll be using it ourselves to keep you in the loop. 🚀
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There are over 26.3 million software developers in the world. That means there can be millions of SuperFriends.
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SuperFriend supports the following programming languages: 1. Python (.py) 2. JavaScript (.js) 3. TypeScript (.ts) 4. TSX (.tsx) - TypeScript with JSX 5. Java (.java) 6. Go (.go) What other languages do you want supported?
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What if you can have your own SuperFriend, and launch it on @believeapp? We can make it possible by open-sourcing, so you can create your own fork.
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Back to work. Lots to improve. Will do a big launch of deployed and open-source repos when we're more ready.
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A fun post is scheduled for later today! :O
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Time to build a community:
80% Telegram
20% Discord
270 votes • Final results
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I spy with my eyes.. a SuperFriend and Osly partnership
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Just got an awesome domain name!
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👬Share your feedback and win! We want to hear your thoughts on SuperFriend. Share your experience on X — the good, the bad, and the ideas — and get a chance to win exclusive merch! 🔎 Use #SuperFriend and tag @SuperFriend_AI 🎁 We’ll reward the top 3 most helpful posts! Campaign runs until May 25. Let’s be SuperFriends together! 👬👭thesuperfriend.com
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Traction within developer communities on Reddit, LFG
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We think about this always. - especially when we think about the design of SuperFriend - the logic, where the buttons are, how outputs are displayed, and etc.
As you become an adult, you realize that things around you weren't just always there; people made them happen. But only recently have I started to internalize how much tenacity *everything* requires. That hotel, that park, that railway. The world is a museum of passion projects.
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What’s the most complicated and confusing codebase you’ve seen? Send it to us and we’ll map out all the functions and it’s relationships.
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The era of vibe coding is here. 3 billion more people can code. Pro engineers are 100x faster. But this explosion in creation brings a new challenge: How do you navigate a world you didn't build line-by-line?
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SuperFriends help the world
This is a great iteration by @helenaeverley on something we experimented with 8 years ago when I helped fund @CryptoKitties and @dapperlabs who pioneered the digital asset / Non fungible token segment. We launched the world’s first “ocean conservation specific NFT” with Sir Richard Branson at our Blockchain Summit. I could see how Helena might crack the code on something that has the possibility of getting communities to help dozens, possibly hundreds of small cause based non-profits everywhere around the world. It’s still early days of course and we’re all learning as we go. Thank you all for supporting us in this process. Here’s what we did years ago: forbes.com/sites/rachelwolfs… I’d be delighted to see @helenaeverley succeed in this pioneering effort to help fund the work of @MauiReefs. They dedicate their lives everyday to helping preserve and protect our environment .. for All of us. 🌎 Cc @Rachelwolf00 @richardbranson
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Replying to @ShawnThread
Yes, soon
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(11/11) Reverse Engineering Aid: Finally, we help reverse-engineer the Swarms codebase to reveal design patterns and intentions. By analyzing the implementation, it infers the underlying architecture and explains the “why” behind the code structure. In short, it reconstructs high-level design insights from the source code, so you understand not just what the framework does, but also the reasoning behind its design.
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Thank you swarms!!
Replying to @superfriend_ai
Cool Thread! Appreciate the analysis : )
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This is how you turn 100x generated code into 100x productivity. While, "vibe coding" is creating a new world of software, we're building the tool to help you master it. Try thesuperfriend.com/
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To prepare for what we're helping to launch, we used SuperFriend for a deep dive into @RaydiumProtocol SDK V2's architecture. Here's what SuperFriend has to say👇
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Graph Visualization We provide an interactive Codebase Dependency Graph, offering a visual map of the @swarms_corp project. Nodes represent files, functions, classes, and variables, while edges denote dependencies. This birds-eye view helps developers understand how modules are interconnected, identify hotspots, and spot opportunities for refactoring—especially useful when analyzing complex AI systems.
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Replying to @pasternak
GM, Wanna become a SuperFriend together?
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Replying to @robb_schmidt
Thank you for using it! If there’s anything that needs improvement, feel free to let me know—my SUPERFRIEND👬
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Thank you for recognizing Superfriend! You’re welcome to share your experience—my SUPERFRIEND👬
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"Vibe coding" is creating a new world of software. We're building the tool to help you master it. Don't just build faster. Understand deeper. Explore your code with confidence.
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Replying to @hemanthreddy_t
Thank you this is an awesome recap!
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(6/11) Concept Q&A: With the Swarms code indexed, our Chat with Code feature allows interactive Q&A about the project. For example, ask “What does the AgentRouter do?” – We will explain this component’s role in coordinating agents. This on-demand conceptual clarity helps developers understand design decisions and agent responsibilities without digging through docs.
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(10/11) Architecture Guidance: Taking a higher-level view, we can suggest architectural improvements and integration ideas. It examines the Swarms framework’s design and offers ways to enhance scalability or reliability (for instance, recommending better modularization of agent controllers or caching strategies for memory). These strategic insights help in planning robust AI agent deployments and integrating Swarms into larger systems.
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(8/11) Logic Parsing: You can have SuperFriend unpack complex logic on demand. A query like “Explain the run() method in the Swarm class” triggers a step-by-step breakdown of that function’s execution flow. The tool clarifies how the swarm orchestrator manages agents at runtime, turning deep code internals into an easy narrative. It’s like having the code’s author guiding you through the logic.
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(7/11) Code Navigation: The Chat with Code interface doubles as a smart navigator for the repository. You can ask, “Where is the Agent class defined?” and we will instantly point to the exact file and line, providing context from the source. This saves time and effort combing through directories, letting developers jump directly to relevant code sections.
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(9/11) Refactoring Support: We also act as an AI pair-programmer, ready with improvement tips. Developers can request refactoring suggestions or code modifications (e.g. “How can we optimize the agent initialization logic?”). The tool will analyze the current implementation and propose cleaner, more efficient alternatives or flag potential issues. This kind of automated code review boosts code quality and maintainability.
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(2/11) Summaries & Explanations: The tool produced concise explanations for complex parts of the code. Each major class and function in Swarms comes with a plain-language summary of its purpose and logic. By translating code into clear English, we make the framework’s core concepts easy to grasp for developers.
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(5/11) Use Case Insights: Beyond static analysis, we suggested practical ways to apply or extend Swarms. It identified potential use cases and enhancements (e.g. custom workflows or new agent roles) based on the code structure. These insights guide developers on leveraging the Swarms framework effectively in real-world scenarios and even point out areas for improvement.
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(1/11) Structure Overview: We generated a high-level map of the Swarms codebase. It outlined the key components (agents, routing modules, memory systems, etc.) and their locations. This quick content breakdown gives developers instant clarity on how the framework is organized.
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(4/11) Module Mapping: Our analysis charts how different modules and classes in Swarms interact with each other. We traced internal connections – for instance, how agent components communicate via routing mechanisms and shared memory – to reveal the framework’s architecture. This bird’s-eye view highlights key integration points and dependencies across the system.
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Replying to @KhineCryptoX
We are bullish too.
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More to come soon
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Replying to @TonyYoungYTT
Thank you for the feedback!!
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(3/11) Function Deep-Dive: We parse individual functions and code blocks step-by-step. For example, it can walk through a method like Swarm.run() and explain each step of the agent orchestration process. This granular analysis demystifies how tasks are executed within the Swarms framework, helping pinpoint the exact logic flow.
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Replying to @iamkikila
Yes we’re on it!
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Replying to @HoudiniWorld
We did not get as much as you think. We've held onto the base tokens and the SOL, we are using it to fund our new direction
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While agents build the code, we make it explorable. We analyze your entire repository—every file, function, and dependency. It then generates a visual, interactive map of your architecture. In addition to reading the codebase, you can see how it all fits together with SuperFriend
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Why 3B? It’s the number of people creating spreadsheets, Excel, and Google Sheets. Creating apps is almost as easy as creating spreadsheets today.
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The economic impact isn't just about creation speed; it's about maintenance and iteration speed. Teams using SuperFriend can: - Onboard new engineers in hours, not weeks. - Debug complex, AI-generated code visually. - Assess the impact of changes before they break production.
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Replying to @pasternak
Go Ben!
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When you add liquidity, you get LP tokens back as your "pool shares." It's like a swimming pool with two chambers: - SOL Chamber andUSDC Chamber - Traders swap between the two - LPs add/remove from both sides - There's a constant product formula keeps it balanced (k = x * y)
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The same LLMs (@AnthropicAI, @Google's Gemini) that enable "vibe coding" also power our intelligence layer. Once the map is built, you can ask questions in plain English: "Show me how the processPayment function connects to the database." Get a visual trace and a clear explanation, not just a text search.
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We are building!!
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The explosion of code demands a new class of tools—not just for writing it, but for comprehending it. That's why we're building SuperFriend. It's the interactive map for the new worlds that are being built by AI.
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Replying to @ke_wei18342
Got it!Let’s make it GMI together💪
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We’re about to release new updates—thank you for your support, SUPERFRIEND👬!
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Try entering a GitHub url. We are working on local support
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Exchange rates between different tokens is tricky - different decimals, inversions, all that complexity. However, @RaydiumProtocol's Price class just handles it all automatically. Give it RAY/USDC and it can instantly flip it to USDC/RAY. No headaches.
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So when you create a token, there's actually this whole process running behind the scenes: The Token class is doing all the work: - Special handling if it's SOL - Validates the mint address - Sets up default values - Connects to the actual token on Solana
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When you want to work with "5.5 USDC", it doesn't just store "5.5" It converts that to raw numbers internally, does all the math with those, then converts back to something you can actually read. Smart way to avoid all those decimal precision issues.
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Replying to @robb_schmidt
Will do! Thank you
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Replying to @Limited82885182
We will keep $supfriend related, we haven’t received any trading fees for months, but we want to make a positive impact for all the traders who believed in us from the very beginning and throughout these past months
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