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📢 A top AGP feature request is here. Publish multiple Android libraries as a single AAR with the Fused Library Plugin in AGP 9.0 → Modularize internal code & resources without forcing users to manage multiple dependencies or view project architecture.

Android Studio

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11,920 просмотров • 5 месяцев назад •via X (Twitter)

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Another awesome new feature inside of PQD is the ability to have multiple libraries mapped into your master library... If you're a user that's been with multiple different teams, this is a game-changer allowing you to utilize all of your previous work in one place.

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Pro Quick Draw

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Arcadia is now live on Base ✨✨ Arcadia allows users to interact with multiple protocols on Base in a single transaction. The protocol will automatically recommend one-click rebalancing actions, helping you manage your portfolio. Try it now:

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Arcadia Finance

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Your Google Maps listing gets views… but you don’t own the traffic. Build a full website or app from a single prompt with Autocoder. Autocoder generates frontend, backend, and database instantly — giving you a ready-to-deploy product in minutes. Features: Prompt → Full App → Deployment ☑️ Fully exportable frontend + backend code ☑️ Export complete source code ☑️ Instant custom domain launch ☑️ Templates for cafes, portfolios, e-commerce & local businesses ☑️ Built-in admin dashboard (manage content, users, bookings) 📈 Turn Google Maps traffic into your own website visitors with Autocoder. ⚡ What you get: • Ready-to-use backend + database (no developer needed) • Built-in admin dashboard to manage content, users, and bookings • Scalable workflow for building sites for multiple local businesses • Full source code export for Pro users to modify or extend AutoCoder.cc #Autocoder #AIWeb #NoCodeAI #WebGenerator

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Ai With Piyas

20,612 просмотров • 4 месяцев назад

over the labor day weekend i built out an app to analyze my twitter mutuals, using my Hyperspace agentic-os prototype. this is likely the most powerful agentic-os setup every assembled. this goes beyond a single model, or agent, or data source or a single smart CLI tool. this goes beyond hardware, or cloud or distributed networks. it is all of it, combined. the LLM OS is here, Andrej Karpathy. and this combined environment enabled me to build an app I craved for all these years, without writing a single line of code, saving me 150 hours of development work effort. i now have a deep understanding of my twitter mutuals here - and to construct the app - my agentic-os utilized multiple models including Grok Code, GPT-OSS-120B running locally, Qwen2.5 Coder and Google's Nano Banana, multiple orchestrators include Claude Code, 24 AI agents, several MCPs, and specific data from my Twitter archive which I plugged in and other data which it researched, analyzed and aggregated into helping me understand my network here. consider again: the absolute best work from all the top AI firms - all of it, in one actually-useful-integrated-environment. RT if you want this as well. any feature requests ? eg show when a mutual is in the same city in the future.. will DM with access.. this is madness, but it is here 🤖🔥

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Varun

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Maximizing your token throughput is one of the biggest productivity unlocks in Claude Code. So here's my guide to use multiple Claude Codes at the same time, effectively: - Run multiple Claude Code sessions at the same time, each on a different feature (Ghostty is great for this) - Use Claude Code's built in git worktrees to keep each instance isolated on its own branch (-w or --worktree flag) - Let Claude handle creating PRs or merging the worktree branches when you're done - Use the Claude Code Desktop app as your multi-agent control center Full guide below:

Maximizing your token throughput is one of the biggest productivity unlocks in Claude Code. So here's my guide to use multiple Claude Codes at the same time, effectively: - Run multiple Claude Code sessions at the same time, each on a different feature (Ghostty is great for this) - Use Claude Code's built in git worktrees to keep each instance isolated on its own branch (-w or --worktree flag) - Let Claude handle creating PRs or merging the worktree branches when you're done - Use the Claude Code Desktop app as your multi-agent control center Full guide below:

Avthar

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I've used Claude Code to build 20+ projects in the last 6 months. Thousands of new users across them. And I've never written a single line of code. I just dropped a 24-min video with my top 10 tips for non-developers — the exact playbook I use every day to run multiple AI agents that handle work that used to take me a full week. This is the best beginner guide to learning and building with Claude Code out right now. Every tutorial I found assumes you're a developer. This one doesn't. I cover everything from first install to running multi-agent workflows — with live demos and real examples for every single tip. How I set up new projects, how I got Claude to match my writing style, how I automate repeatable workflows with one command, and how I run multiple agents working on different tasks at the same time. I also built a full resource repo to go alongside the video — curated video tutorials, the best skill libraries, plugin directories, MCP server guides, written docs, community links, and a starter template you can copy-paste into your first project today. Comment "GUIDE" and I'll send you the full guide with everything you need to learn Claude Code! (make sure we're connected so I can DM you)

I've used Claude Code to build 20+ projects in the last 6 months. Thousands of new users across them. And I've never written a single line of code. I just dropped a 24-min video with my top 10 tips for non-developers — the exact playbook I use every day to run multiple AI agents that handle work that used to take me a full week. This is the best beginner guide to learning and building with Claude Code out right now. Every tutorial I found assumes you're a developer. This one doesn't. I cover everything from first install to running multi-agent workflows — with live demos and real examples for every single tip. How I set up new projects, how I got Claude to match my writing style, how I automate repeatable workflows with one command, and how I run multiple agents working on different tasks at the same time. I also built a full resource repo to go alongside the video — curated video tutorials, the best skill libraries, plugin directories, MCP server guides, written docs, community links, and a starter template you can copy-paste into your first project today. Comment "GUIDE" and I'll send you the full guide with everything you need to learn Claude Code! (make sure we're connected so I can DM you)

JJ Englert

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💧SCALLOP FEATURE - veSCA Merge & Split We are thrilled to introduce Scallop's latest feature, veSCA Merge and Split! This new feature provides Scallopers with the option to merge or split their different veSCA keys seamlessly, based on different needs and use cases! With this new feature update, Scallopers can perform the following actions: - Merge / Split veSCA - Manage multiple veSCA keys - Switching veSCA across multiple obligations With the ability to be split or merged into any size, veSCA is now as dynamic as a typical coin asset! 🎁Loyalty Program BONUS Airdrop Scallopers who claim and staked their SCA rewards in our recent loyalty program will receive a BONUS airdrop of 500,000 veSCA! Eligible Criteria: Hold at least 2,500 veSCA The bonus airdrop will be distributed in veSCA keys, with maximum lock duration of 4 years. Eligible Scallopers can claim their veSCA reward and choose to merge their new veSCA with their existing veSCA key! More Details Here:

💧SCALLOP FEATURE - veSCA Merge & Split We are thrilled to introduce Scallop's latest feature, veSCA Merge and Split! This new feature provides Scallopers with the option to merge or split their different veSCA keys seamlessly, based on different needs and use cases! With this new feature update, Scallopers can perform the following actions: - Merge / Split veSCA - Manage multiple veSCA keys - Switching veSCA across multiple obligations With the ability to be split or merged into any size, veSCA is now as dynamic as a typical coin asset! 🎁Loyalty Program BONUS Airdrop Scallopers who claim and staked their SCA rewards in our recent loyalty program will receive a BONUS airdrop of 500,000 veSCA! Eligible Criteria: Hold at least 2,500 veSCA The bonus airdrop will be distributed in veSCA keys, with maximum lock duration of 4 years. Eligible Scallopers can claim their veSCA reward and choose to merge their new veSCA with their existing veSCA key! More Details Here:

Scallop

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Firecrawl open-sourced "web-agent," a new framework that allows developers to build AI agents capable of autonomously executing "search-scrape-interact" loops on the live web. By running a single command, developers can scaffold a complete project with streaming UI, API, or library templates. The framework uses a "Plan-Act" mechanism and can spin up parallel sub-agents to process multiple websites simultaneously. It is entirely model-agnostic, allowing you to plug in OpenAI, Anthropic (with recent builds defaulting to Claude Opus 4.7), or your own self-hosted models.

Firecrawl open-sourced "web-agent," a new framework that allows developers to build AI agents capable of autonomously executing "search-scrape-interact" loops on the live web. By running a single command, developers can scaffold a complete project with streaming UI, API, or library templates. The framework uses a "Plan-Act" mechanism and can spin up parallel sub-agents to process multiple websites simultaneously. It is entirely model-agnostic, allowing you to plug in OpenAI, Anthropic (with recent builds defaulting to Claude Opus 4.7), or your own self-hosted models.

Wes Roth

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🚨 Flare is building around a very different vision for $XRP. Flare ☀️ is focusing on helping $XRP move across ecosystems, interact with protocols, and return back to XRPL without users dealing with the complexity underneath. Hugo Philion also highlighted how FXRP stands out through smart accounts, direct minting through exchanges and custodians, and data protocols that enable functionality other bridges cannot offer. 👉 FXRP can interact across multiple chains 👉 Assets can move without users touching those blockchains directly 👉 Flare data protocols enable cross-chain functionality others cannot offer 👉 Smart accounts simplify complex blockchain interactions One of the more interesting parts is that Flare is trying to remove the friction behind cross-chain usage instead of forcing users to manually navigate multiple ecosystems themselves. That opens the door for $XRP to access liquidity, applications, and utility across multiple blockchain environments in a much more seamless way.

🚨 Flare is building around a very different vision for $XRP. Flare ☀️ is focusing on helping $XRP move across ecosystems, interact with protocols, and return back to XRPL without users dealing with the complexity underneath. Hugo Philion also highlighted how FXRP stands out through smart accounts, direct minting through exchanges and custodians, and data protocols that enable functionality other bridges cannot offer. 👉 FXRP can interact across multiple chains 👉 Assets can move without users touching those blockchains directly 👉 Flare data protocols enable cross-chain functionality others cannot offer 👉 Smart accounts simplify complex blockchain interactions One of the more interesting parts is that Flare is trying to remove the friction behind cross-chain usage instead of forcing users to manually navigate multiple ecosystems themselves. That opens the door for $XRP to access liquidity, applications, and utility across multiple blockchain environments in a much more seamless way.

CryptoSensei

19,946 просмотров • 2 месяцев назад

Both Anthropic and OpenAI are gearing up to release updates to their desktop apps already next week. Anthropic is finalizing its new Claude Code "epitaxy" experience with a power-user-friendly UI, Cowork-style layout, and the possibility to work on multiple repositories at once. Users will be able to preview their code right in the app, along with sections to view a "Plan", "Tasks" executed by sub-agents, and "Diff". But that's not all 👀

Both Anthropic and OpenAI are gearing up to release updates to their desktop apps already next week. Anthropic is finalizing its new Claude Code "epitaxy" experience with a power-user-friendly UI, Cowork-style layout, and the possibility to work on multiple repositories at once. Users will be able to preview their code right in the app, along with sections to view a "Plan", "Tasks" executed by sub-agents, and "Diff". But that's not all 👀

🚨 AI News | TestingCatalog

208,705 просмотров • 3 месяцев назад

GROK AI APP HITS iOS—ANDROID USERS, STANDBY! Grok AI just dropped as a standalone app! iPhone users in the US, Australia, and India can download it now from the App Store. Android users? The app is listed on Google Play, but it's still in pre-registration mode—so hang tight! Not in one of those regions? No worries—Grok is still fully accessible inside the 𝕏 app on both iOS and Android. What makes Grok different? Real-time knowledge – Always up-to-date, no stale info. Image generation – Bring ideas to life with AI-powered visuals. Smart text & code tools – Summarize, write, and code like a pro. A curious mind – Designed to be truthful, useful, and actually interesting. The future of AI is here—and it’s in your pocket. Source: 𝕏

GROK AI APP HITS iOS—ANDROID USERS, STANDBY! Grok AI just dropped as a standalone app! iPhone users in the US, Australia, and India can download it now from the App Store. Android users? The app is listed on Google Play, but it's still in pre-registration mode—so hang tight! Not in one of those regions? No worries—Grok is still fully accessible inside the 𝕏 app on both iOS and Android. What makes Grok different? Real-time knowledge – Always up-to-date, no stale info. Image generation – Bring ideas to life with AI-powered visuals. Smart text & code tools – Summarize, write, and code like a pro. A curious mind – Designed to be truthful, useful, and actually interesting. The future of AI is here—and it’s in your pocket. Source: 𝕏

Mario Nawfal

47,222 просмотров • 1 год назад

Google Opal is vastly underrated but can replace n8n or Make in many situations You can create powerful AI workflows for free and with a single prompt: - Ask the user for any input - Run multiple deep research simultaneously - Add any context you want (YT video, text, docs...) - Use tools like web, Maps, code execution - Synthesize with Gemini 2.5 Pro - Generate results in any format I created this agent to prepare meetings in literally 10 minutes. Tip: make sure to use the microphone feature to give as much context as possible to Opal... So it can generate the workflow almost in one-shot!

Google Opal is vastly underrated but can replace n8n or Make in many situations You can create powerful AI workflows for free and with a single prompt: - Ask the user for any input - Run multiple deep research simultaneously - Add any context you want (YT video, text, docs...) - Use tools like web, Maps, code execution - Synthesize with Gemini 2.5 Pro - Generate results in any format I created this agent to prepare meetings in literally 10 minutes. Tip: make sure to use the microphone feature to give as much context as possible to Opal... So it can generate the workflow almost in one-shot!

Paul Couvert

67,996 просмотров • 8 месяцев назад

Greptile has raised $25M to Kill The Bug. The round is led by Benchmark with Eric Vishria joining our board. Today, code is written by humans and a variety of coding agents like Devin, Claude Code, and Cursor. Greptile serves as the independent and universal code review layer. This month alone, Greptile reviewed 500M lines of code for top companies like Brex, Substack, PostHog, Bilt, and even YC’s internal software team, helping prevent 180,000+ bugs. Alongside our Series A - we’re excited to announce Greptile v3 - a brand new agent architecture capable of catching >3x more critical bugs than Greptile v2. Available now to all users. 🧵

Daksh Gupta

688,471 просмотров • 10 месяцев назад

This might be the biggest Android emulator upgrade in years. MuMuPlayer 6.0 is built for gamers who want more performance without the usual emulator headaches. Here's what you get: • Android 12 + Android 15 Dual System • Rock-solid stability • High FPS gameplay • Smooth multi-instance support • Install and play games seamlessly • Broader compatibility with the latest Android games • Keep your existing Android 12 setup while testing Android 15 No random crashes. No lag spikes. No broken macros or settings after upgrading. Whether you're playing Roblox, running multiple accounts, or trying the latest Android games, MuMuPlayer 6.0 is designed to deliver a faster, smoother, and more reliable gaming experience.

This might be the biggest Android emulator upgrade in years. MuMuPlayer 6.0 is built for gamers who want more performance without the usual emulator headaches. Here's what you get: • Android 12 + Android 15 Dual System • Rock-solid stability • High FPS gameplay • Smooth multi-instance support • Install and play games seamlessly • Broader compatibility with the latest Android games • Keep your existing Android 12 setup while testing Android 15 No random crashes. No lag spikes. No broken macros or settings after upgrading. Whether you're playing Roblox, running multiple accounts, or trying the latest Android games, MuMuPlayer 6.0 is designed to deliver a faster, smoother, and more reliable gaming experience.

Techjunkie Aman

11,348 просмотров • 23 дней назад

Zerve has been the best platform for writing data science code for a while. It's 100x better than Jupyter notebooks. Now, they have a specialized, fine-tuned AI assistant who knows all about data science code and how to use the platform. This is a killer feature. A generalist model will never be better than a specialized one. Watch the video. I promise you'll be jealous in 3 minutes. Some other features, in case you've never used Zerve: 1. It's web-based 2. You can share and work with your team on the same canvas 3. You can deploy your code with a click 4. Blocks are the center of attention. Promotes code modularity 5. You can combine multiple languages in a single canvas 6. You can run code blocks in parallel Zerve organizes your code as a DAG. Each block inherits the state of every block before it. Everything runs in a serverless architecture. By the way, you can use Zerve for FREE. Visit this link: Thanks to the team for partnering with me on this post.

Zerve has been the best platform for writing data science code for a while. It's 100x better than Jupyter notebooks. Now, they have a specialized, fine-tuned AI assistant who knows all about data science code and how to use the platform. This is a killer feature. A generalist model will never be better than a specialized one. Watch the video. I promise you'll be jealous in 3 minutes. Some other features, in case you've never used Zerve: 1. It's web-based 2. You can share and work with your team on the same canvas 3. You can deploy your code with a click 4. Blocks are the center of attention. Promotes code modularity 5. You can combine multiple languages in a single canvas 6. You can run code blocks in parallel Zerve organizes your code as a DAG. Each block inherits the state of every block before it. Everything runs in a serverless architecture. By the way, you can use Zerve for FREE. Visit this link: Thanks to the team for partnering with me on this post.

Santiago

27,942 просмотров • 1 год назад

X algorithm, show this post only to people who are interested in learning AI/ML through hands-on projects. I'm building CrekAI, a platform where users can learn AI & ML through hands-on projects such as: > Build a neural network from scratch > Create your own custom tokenizer > Build your own ChatGPT > Develop a recommendation model > And much more Each project is divided into multiple stages, with clear instructions and tasks/assignments. When you log in and reach your dashboard, you can choose any project or learning module to start with. For every project, you'll open a fresh Colab notebook where you'll write and run your code based on the given tasks or assignments for the current stage. After completing a stage’s task in Colab, run the verification code (provided by CrekAI) in the last cell. If it passes, the next stage unlocks automatically. Grok what do you think about this project?

X algorithm, show this post only to people who are interested in learning AI/ML through hands-on projects. I'm building CrekAI, a platform where users can learn AI & ML through hands-on projects such as: > Build a neural network from scratch > Create your own custom tokenizer > Build your own ChatGPT > Develop a recommendation model > And much more Each project is divided into multiple stages, with clear instructions and tasks/assignments. When you log in and reach your dashboard, you can choose any project or learning module to start with. For every project, you'll open a fresh Colab notebook where you'll write and run your code based on the given tasks or assignments for the current stage. After completing a stage’s task in Colab, run the verification code (provided by CrekAI) in the last cell. If it passes, the next stage unlocks automatically. Grok what do you think about this project?

vixhaℓ

57,309 просмотров • 8 месяцев назад

The upcoming OpenAI's open model is mixture of expert model. They take their proprietary training process and train a model with an model architecture that only contains publicly well known model arch layers & optimizations similar. This allows OpenAI to keep their internal model architecture an secret while they open weight an SOTA model. Thus, none of their long context optimizations needed for acutal real world production serving are in the open model architecture. OpenAI has created multiple different sizes of open weights distilled o3 including an 120B param that fits on a single node and 20B param that fits on a single chip.

The upcoming OpenAI's open model is mixture of expert model. They take their proprietary training process and train a model with an model architecture that only contains publicly well known model arch layers & optimizations similar. This allows OpenAI to keep their internal model architecture an secret while they open weight an SOTA model. Thus, none of their long context optimizations needed for acutal real world production serving are in the open model architecture. OpenAI has created multiple different sizes of open weights distilled o3 including an 120B param that fits on a single node and 20B param that fits on a single chip.

SemiAnalysis

80,891 просмотров • 1 год назад

Project Launch 🚀: mukh v0.1.14 - The Face Analysis Library Hello Everyone, I am happy to launch my first python package "mukh". Mukh (मुख, meaning "face" in Sanskrit) is a comprehensive face analysis library that provides unified APIs for various face-related tasks. It simplifies the process of working with multiple face analysis models through a consistent interface. --- 📌 Features: 🥸 DeepFake Detector: First Python package featuring an Ensemble of multiple models 🎯 Unified API: Single, consistent API for multiple face analysis tasks like face detection and reenactment 🔄 Model Flexibility: Support for multiple models per task 🛠️ Custom Pipelines: Optimized preprocessing and model combinations --- 📌 Currently Supported Tasks: 1️⃣ Face Detection 2️⃣ Face Reenactment with Source Image and Driving Video 3️⃣ Deepfake Detection for Image and Video 4️⃣ Deepfake Detection Pipeline - Ensemble of multiple models --- 📌 Open Source Contributions: I am opening up multiple tasks in the issues section of mukh including a bunch of `good-first-issues`. My goal is to help a number of beginners get started with their contributions, I will be personally guiding across completing these tasks so keep a check on the issues section. The link to the GitHub repository and detailed documentation is available below 👇 in the reply section, do give it a ⭐️ to support the project! --- Special Mentions in the video: Ayush Chaurasia adi unni hsr hacker house Nimisha Chanda @ElonMastikhor Ctrl+Vibe

Project Launch 🚀: mukh v0.1.14 - The Face Analysis Library Hello Everyone, I am happy to launch my first python package "mukh". Mukh (मुख, meaning "face" in Sanskrit) is a comprehensive face analysis library that provides unified APIs for various face-related tasks. It simplifies the process of working with multiple face analysis models through a consistent interface. --- 📌 Features: 🥸 DeepFake Detector: First Python package featuring an Ensemble of multiple models 🎯 Unified API: Single, consistent API for multiple face analysis tasks like face detection and reenactment 🔄 Model Flexibility: Support for multiple models per task 🛠️ Custom Pipelines: Optimized preprocessing and model combinations --- 📌 Currently Supported Tasks: 1️⃣ Face Detection 2️⃣ Face Reenactment with Source Image and Driving Video 3️⃣ Deepfake Detection for Image and Video 4️⃣ Deepfake Detection Pipeline - Ensemble of multiple models --- 📌 Open Source Contributions: I am opening up multiple tasks in the issues section of mukh including a bunch of `good-first-issues`. My goal is to help a number of beginners get started with their contributions, I will be personally guiding across completing these tasks so keep a check on the issues section. The link to the GitHub repository and detailed documentation is available below 👇 in the reply section, do give it a ⭐️ to support the project! --- Special Mentions in the video: Ayush Chaurasia adi unni hsr hacker house Nimisha Chanda @ElonMastikhor Ctrl+Vibe

Ishan Dutta

13,931 просмотров • 1 год назад