• MGX (MetaGPT X) is a multi-agent AI platform designed to automate software development using real-world software development processes. It uses AI agents, such as a leader, product manager, architect, and engineer, to generate various development artifacts. These artifacts can include user stories, competitive analyses, requirements documents, and more, all achievable with a single line of code. The platform facilitates the creation of websites, shops, and even games.

    https://mgx.dev/

    #MGX #MetaGPTX #MultiAgentAI #AISoftwareDevelopment #AIAgents #SoftwareAutomation #CodeGeneration #DevOps #AIProductManager #AIArchitect #SingleLineOfCode #WebsiteDevelopment #ShopDevelopment #GameDevelopment #GitHubCopilot #Tabnine #MutableAI #AIWorkflow #AutomatedSoftwareEngineering
    MGX (MetaGPT X) is a multi-agent AI platform designed to automate software development using real-world software development processes. It uses AI agents, such as a leader, product manager, architect, and engineer, to generate various development artifacts. These artifacts can include user stories, competitive analyses, requirements documents, and more, all achievable with a single line of code. The platform facilitates the creation of websites, shops, and even games. https://mgx.dev/ #MGX #MetaGPTX #MultiAgentAI #AISoftwareDevelopment #AIAgents #SoftwareAutomation #CodeGeneration #DevOps #AIProductManager #AIArchitect #SingleLineOfCode #WebsiteDevelopment #ShopDevelopment #GameDevelopment #GitHubCopilot #Tabnine #MutableAI #AIWorkflow #AutomatedSoftwareEngineering
    0 Comments ·0 Shares ·70 Views
  • Why Stagehand?
    Most existing browser automation tools either require you to write low-level code in a framework like Selenium, Playwright, or Puppeteer, or use high-level agents that can be unpredictable in production. By letting developers choose what to write in code vs. natural language, Stagehand is the natural choice for browser automations in production.

    Choose when to write code vs. natural language: use AI when you want to navigate unfamiliar pages, and use code (Playwright) when you know exactly what you want to do.

    Preview and cache actions: Stagehand lets you preview AI actions before running them, and also helps you easily cache repeatable actions to save time and tokens.

    Computer use models with one line of code: Stagehand lets you integrate SOTA computer use models from OpenAI and Anthropic into the browser with one line of code.

    https://www.stagehand.dev/
    https://github.com/browserbase/stagehand
    https://youtu.be/Qb1YrN0fZfM?si=mWz5NQgKyC-Lvunz

    #stagehand #browserautomation #playwright #selenium #puppeteer #ai #automation #lowcode #nocode #openai #anthropic #computerusemodels #aitools #webautomation #webscraping
    Why Stagehand? Most existing browser automation tools either require you to write low-level code in a framework like Selenium, Playwright, or Puppeteer, or use high-level agents that can be unpredictable in production. By letting developers choose what to write in code vs. natural language, Stagehand is the natural choice for browser automations in production. Choose when to write code vs. natural language: use AI when you want to navigate unfamiliar pages, and use code (Playwright) when you know exactly what you want to do. Preview and cache actions: Stagehand lets you preview AI actions before running them, and also helps you easily cache repeatable actions to save time and tokens. Computer use models with one line of code: Stagehand lets you integrate SOTA computer use models from OpenAI and Anthropic into the browser with one line of code. https://www.stagehand.dev/ https://github.com/browserbase/stagehand https://youtu.be/Qb1YrN0fZfM?si=mWz5NQgKyC-Lvunz #stagehand #browserautomation #playwright #selenium #puppeteer #ai #automation #lowcode #nocode #openai #anthropic #computerusemodels #aitools #webautomation #webscraping
    Stagehand: A browser automation SDK built for developers and LLMs.
    www.stagehand.dev
    Stagehand makes it easy for both developers and agents to control a browser. Write code once, run it anywhere.
    0 Comments ·0 Shares ·316 Views
  • Claims are awash on X about how the latest Kimi Model K2 beats Grok 4. My verdict ... try it for yourself ! l also noticed that some models are better in certain contexts than others but fail in other context where others excel. So my take is to know which is which for yourself .. don' t just rely on Benchmarks, social media posters and such ...

    Now back to Kimi AI the chinese controversial release:

    Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model with 32 billion activated parameters and 1 trillion total parameters. Trained with the Muon optimizer, Kimi K2 achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities.

    Key Features
    Large-Scale Training: Pre-trained a 1T parameter MoE model on 15.5T tokens with zero training instability.
    MuonClip Optimizer: We apply the Muon optimizer to an unprecedented scale, and develop novel optimization techniques to resolve instabilities while scaling up.
    Agentic Intelligence: Specifically designed for tool use, reasoning, and autonomous problem-solving.
    Model Variants
    Kimi-K2-Base: The foundation model, a strong start for researchers and builders who want full control for fine-tuning and custom solutions.
    Kimi-K2-Instruct: The post-trained model best for drop-in, general-purpose chat and agentic experiences. It is a reflex-grade model without long thinking.

    https://github.com/MoonshotAI/Kimi-K2
    https://www.moonshot.ai/
    https://platform.moonshot.ai/docs/introduction#text-generation-model
    https://github.com/MoonshotAI/Kimi-K2/blob/main/docs/deploy_guidance.md(Deployment Guide)

    #KimiK2 #KimiAI #MoonshotAI #Grok4 #LLM #LargeLanguageModel #MoE #MixtureOfExperts #AI #AgenticAI #MuonOptimizer #AICoding #Chatbot #KimiK2Base #KimiK2Instruct #TextGeneration #FrontierKnowledge #Reasoning #AutonomousProblemSolving #TransformerModel #Claude #Gemini #GPT4 #OpenAI #Llama3 #AIModels #GitHub #X #SocialMedia #Benchmarks #ControversialRelease #ChineseAI #AIInnovation #DeepLearning #NaturalLanguageProcessing #NLP #AIResearch #AIML #MachineLearning #DataScience #ArtificialIntelligence #BigData #Technology #Innovation #Tech #AISolutions #DigitalTransformation #AICommunity #AINews #EmergingTech #TechTrends
    Claims are awash on X about how the latest Kimi Model K2 beats Grok 4. My verdict ... try it for yourself ! l also noticed that some models are better in certain contexts than others but fail in other context where others excel. So my take is to know which is which for yourself .. don' t just rely on Benchmarks, social media posters and such ... Now back to Kimi AI the chinese controversial release: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model with 32 billion activated parameters and 1 trillion total parameters. Trained with the Muon optimizer, Kimi K2 achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities. Key Features Large-Scale Training: Pre-trained a 1T parameter MoE model on 15.5T tokens with zero training instability. MuonClip Optimizer: We apply the Muon optimizer to an unprecedented scale, and develop novel optimization techniques to resolve instabilities while scaling up. Agentic Intelligence: Specifically designed for tool use, reasoning, and autonomous problem-solving. Model Variants Kimi-K2-Base: The foundation model, a strong start for researchers and builders who want full control for fine-tuning and custom solutions. Kimi-K2-Instruct: The post-trained model best for drop-in, general-purpose chat and agentic experiences. It is a reflex-grade model without long thinking. https://github.com/MoonshotAI/Kimi-K2 https://www.moonshot.ai/ https://platform.moonshot.ai/docs/introduction#text-generation-model https://github.com/MoonshotAI/Kimi-K2/blob/main/docs/deploy_guidance.md(Deployment Guide) #KimiK2 #KimiAI #MoonshotAI #Grok4 #LLM #LargeLanguageModel #MoE #MixtureOfExperts #AI #AgenticAI #MuonOptimizer #AICoding #Chatbot #KimiK2Base #KimiK2Instruct #TextGeneration #FrontierKnowledge #Reasoning #AutonomousProblemSolving #TransformerModel #Claude #Gemini #GPT4 #OpenAI #Llama3 #AIModels #GitHub #X #SocialMedia #Benchmarks #ControversialRelease #ChineseAI #AIInnovation #DeepLearning #NaturalLanguageProcessing #NLP #AIResearch #AIML #MachineLearning #DataScience #ArtificialIntelligence #BigData #Technology #Innovation #Tech #AISolutions #DigitalTransformation #AICommunity #AINews #EmergingTech #TechTrends
    GitHub - MoonshotAI/Kimi-K2: Kimi K2 is the large language model series developed by Moonshot AI team
    github.com
    Kimi K2 is the large language model series developed by Moonshot AI team - MoonshotAI/Kimi-K2
    0 Comments ·0 Shares ·439 Views
  • Microsoft dropped a free AI Agent training for beginners.

    No paywall. No coding required.

    This repository provides a course on building AI Agents, covering 11 lessons that teach the fundamentals of AI agent development. The course includes code examples, multi-language support, and links to additional resources for further learning.

    11 lessons covering the fundamentals of building AI Agents
    Code examples utilizing Azure AI Foundry and GitHub Model Catalogs

    https://github.com/microsoft/ai-agents-for-beginners

    #microsoft #aiagentsforbeginners #aiagent #agentops #azureai #github #aimodels #nocode #aitraining #machinelearning #deeplearning #learnai #foundry #modelcatalogs #automation #aitools
    Microsoft dropped a free AI Agent training for beginners. No paywall. No coding required. This repository provides a course on building AI Agents, covering 11 lessons that teach the fundamentals of AI agent development. The course includes code examples, multi-language support, and links to additional resources for further learning. 11 lessons covering the fundamentals of building AI Agents Code examples utilizing Azure AI Foundry and GitHub Model Catalogs https://github.com/microsoft/ai-agents-for-beginners #microsoft #aiagentsforbeginners #aiagent #agentops #azureai #github #aimodels #nocode #aitraining #machinelearning #deeplearning #learnai #foundry #modelcatalogs #automation #aitools
    0 Comments ·0 Shares ·356 Views
  • A gold mine for prompt engineering code.

    Grab the link on GitHub:
    https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P

    After completing this course, you will be able to:

    • Recognize common failure modes
    • Master the basic structure of a good prompt
    • Understand Claude's strengths and weaknesses
    • Build strong prompts from scratch for common use cases

    #PromptEngineering #AI #Claude #Anthropic #GitHub #Prompting #AIML #LLM #LargeLanguageModels #GenerativeAI #FailureModes #PromptStructure #AISolutions #AICourse
    A gold mine for prompt engineering code. Grab the link on GitHub: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P After completing this course, you will be able to: • Recognize common failure modes • Master the basic structure of a good prompt • Understand Claude's strengths and weaknesses • Build strong prompts from scratch for common use cases #PromptEngineering #AI #Claude #Anthropic #GitHub #Prompting #AIML #LLM #LargeLanguageModels #GenerativeAI #FailureModes #PromptStructure #AISolutions #AICourse
    courses/prompt_engineering_interactive_tutorial/Anthropic 1P at master · anthropics/courses
    github.com
    Anthropic's educational courses. Contribute to anthropics/courses development by creating an account on GitHub.
    0 Comments ·0 Shares ·339 Views
  • On July 1st Replit announced three new capabilities that bring Dynamic Intelligence to Replit Agent. With this advancement, the Agent gains enhanced context awareness, iterative reasoning, and autonomous, goal-driven behavior—enabling it to adapt in real time, navigate complex tasks, and deliver complete solutions with minimal guidance.

    These three new capabilities are:

    Extended thinking: Instructs the Agent to slow down and think more deeply, producing more thorough solutions—while showing parts of its step-by-step reasoning before giving the final result.
    High power model: Increases the Agent’s accuracy by using a more capable AI model
    Web Search: Enables the Agent to perform intelligent web searches based on your request to fill knowledge gaps

    https://youtu.be/1JPvi48oVY8?si=4quo0BKQ762UBiYQ

    #ReplitAgent #Replit #DynamicIntelligence #AI #AIModel #WebSearch #ExtendedThinking #AICoding #AIDevelopment #AutonomousAgent #CodingAssistant #GitHubCopilot #CursorAI
    On July 1st Replit announced three new capabilities that bring Dynamic Intelligence to Replit Agent. With this advancement, the Agent gains enhanced context awareness, iterative reasoning, and autonomous, goal-driven behavior—enabling it to adapt in real time, navigate complex tasks, and deliver complete solutions with minimal guidance. These three new capabilities are: Extended thinking: Instructs the Agent to slow down and think more deeply, producing more thorough solutions—while showing parts of its step-by-step reasoning before giving the final result. High power model: Increases the Agent’s accuracy by using a more capable AI model Web Search: Enables the Agent to perform intelligent web searches based on your request to fill knowledge gaps https://youtu.be/1JPvi48oVY8?si=4quo0BKQ762UBiYQ #ReplitAgent #Replit #DynamicIntelligence #AI #AIModel #WebSearch #ExtendedThinking #AICoding #AIDevelopment #AutonomousAgent #CodingAssistant #GitHubCopilot #CursorAI
    0 Comments ·0 Shares ·365 Views
  • Am sure you thinking of cost saving/cutting costs when using Claude Code here is a tool to consider (thanks @sciencedegen):
    Zen MCP is a Model Context Protocol server that orchestrates multiple AI models as a development team, allowing Claude to seamlessly collaborate with different models like Gemini, O3, and others to enhance code analysis, problem-solving, and collaborative development. It provides guided workflows, multiple AI perspectives, automatic model selection, and advanced features like context revival, large prompt handling, and web search integration.

    https://github.com/BeehiveInnovations/zen-mcp-server

    #zenmcp #claude #gemini #o3 #modelcontextprotocol #aimodelcollaboration #aicoding #aiteam #codedevelopment #promptengineering #costsavings #github #codeanalysis #problem solving
    Am sure you thinking of cost saving/cutting costs when using Claude Code here is a tool to consider (thanks @sciencedegen): Zen MCP is a Model Context Protocol server that orchestrates multiple AI models as a development team, allowing Claude to seamlessly collaborate with different models like Gemini, O3, and others to enhance code analysis, problem-solving, and collaborative development. It provides guided workflows, multiple AI perspectives, automatic model selection, and advanced features like context revival, large prompt handling, and web search integration. https://github.com/BeehiveInnovations/zen-mcp-server #zenmcp #claude #gemini #o3 #modelcontextprotocol #aimodelcollaboration #aicoding #aiteam #codedevelopment #promptengineering #costsavings #github #codeanalysis #problem solving
    0 Comments ·0 Shares ·329 Views
  • Where to find Anthropic's on-demand Courses:

    https://github.com/anthropics/prompt-eng-interactive-tutorial

    https://www.anthropic.com/learn

    https://github.com/anthropics/courses

    This repository contains an interactive tutorial created by Anthropic to provide a comprehensive understanding of prompt engineering within the Claude language model. The tutorial covers various aspects of prompt engineering, from basic prompt structure to advanced techniques for building complex prompts.

    #Anthropic #Claude #PromptEngineering #AIML #LanguageModels #InteractiveTutorial #GitHub #PromptStructure #AdvancedTechniques #AIeducation #AICourse #PromptBuilding #GenerativeAI #AItools
    Where to find Anthropic's on-demand Courses: https://github.com/anthropics/prompt-eng-interactive-tutorial https://www.anthropic.com/learn https://github.com/anthropics/courses This repository contains an interactive tutorial created by Anthropic to provide a comprehensive understanding of prompt engineering within the Claude language model. The tutorial covers various aspects of prompt engineering, from basic prompt structure to advanced techniques for building complex prompts. #Anthropic #Claude #PromptEngineering #AIML #LanguageModels #InteractiveTutorial #GitHub #PromptStructure #AdvancedTechniques #AIeducation #AICourse #PromptBuilding #GenerativeAI #AItools
    0 Comments ·0 Shares ·376 Views
  • How can you run many powerful coding agent for your app safely in a secure customizable Sandbox ? VibeKit

    VibeKit is an SDK that allows developers to safely run powerful coding agents like Codex, Gemini CLI, and Claude Code in secure, customizable sandboxes. It provides a drop-in solution for executing code in the cloud, with features like GitHub automation, prompt history, and real-time output streaming.

    Embed Claude Code, OpenAI Codex, Gemini CLI, and Opencode directly into your app with sandboxing, streaming output, and built-in GitHub automation.

    100% Opensource.

    https://www.vibekit.sh/

    #VibeKit #Codex #GeminiCLI #ClaudeCode #codingagents #SDK #sandboxing #githubautomation #opencode #realtimeoutput #promptengineering #securecoding #cloudcoding #opensource #airesearch #AItools #codeexecution #LangChain #AutoGPT
    How can you run many powerful coding agent for your app safely in a secure customizable Sandbox ? VibeKit VibeKit is an SDK that allows developers to safely run powerful coding agents like Codex, Gemini CLI, and Claude Code in secure, customizable sandboxes. It provides a drop-in solution for executing code in the cloud, with features like GitHub automation, prompt history, and real-time output streaming. Embed Claude Code, OpenAI Codex, Gemini CLI, and Opencode directly into your app with sandboxing, streaming output, and built-in GitHub automation. 100% Opensource. https://www.vibekit.sh/ #VibeKit #Codex #GeminiCLI #ClaudeCode #codingagents #SDK #sandboxing #githubautomation #opencode #realtimeoutput #promptengineering #securecoding #cloudcoding #opensource #airesearch #AItools #codeexecution #LangChain #AutoGPT
    VibeKit - Run Coding Agents in a Secure Sandbox
    www.vibekit.sh
    Run Claude Code and other coding agents in a secure sandbox. Embed Claude Code, Codex, Gemini CLI, or OpenCode in your app with E2B, Daytona support.
    0 Comments ·0 Shares ·435 Views
  • What is Claudia UI and what can it do for your Vibe Coding ?
    Claudia is a powerful desktop application that transforms how you interact with Claude Code. It provides a beautiful GUI for managing your Claude Code sessions, creating custom agents, tracking usage, and much more. Claudia serves as a command center for Claude Code, bridging the gap between the command-line tool and a visual experience that makes AI-assisted development more intuitive and productive.

    Main Function Points
    - Visual Project Browser: Navigate through all your Claude Code projects
    - Session History: View and resume past coding sessions with full context
    - Custom AI Agents: Create specialized agents with custom system prompts and behaviors
    - Usage Analytics Dashboard: Monitor your Claude API usage and costs in real-time
    - MCP Server Management: Manage Model Context Protocol servers from a central UI
    - Timeline & Checkpoints: Create checkpoints at any point in your coding session and navigate through your session history
    - CLAUDE.md Management: Edit CLAUDE.md files directly within the app with live preview and syntax highlighting

    https://github.com/getAsterisk/claudia

    #ClaudiaUI #ClaudeCode #GUI #DesktopApp #AIAssistant #AICoding #VisualIDE #SessionManagement #UsageAnalytics #CustomAIagents #MCPserver #TimelineCheckpoints #CLAUDEmdfiles #OpenAI #CursorAI #GitHubCopilot #AIdevelopment #ProductivityTools
    What is Claudia UI and what can it do for your Vibe Coding ? Claudia is a powerful desktop application that transforms how you interact with Claude Code. It provides a beautiful GUI for managing your Claude Code sessions, creating custom agents, tracking usage, and much more. Claudia serves as a command center for Claude Code, bridging the gap between the command-line tool and a visual experience that makes AI-assisted development more intuitive and productive. Main Function Points - Visual Project Browser: Navigate through all your Claude Code projects - Session History: View and resume past coding sessions with full context - Custom AI Agents: Create specialized agents with custom system prompts and behaviors - Usage Analytics Dashboard: Monitor your Claude API usage and costs in real-time - MCP Server Management: Manage Model Context Protocol servers from a central UI - Timeline & Checkpoints: Create checkpoints at any point in your coding session and navigate through your session history - CLAUDE.md Management: Edit CLAUDE.md files directly within the app with live preview and syntax highlighting https://github.com/getAsterisk/claudia #ClaudiaUI #ClaudeCode #GUI #DesktopApp #AIAssistant #AICoding #VisualIDE #SessionManagement #UsageAnalytics #CustomAIagents #MCPserver #TimelineCheckpoints #CLAUDEmdfiles #OpenAI #CursorAI #GitHubCopilot #AIdevelopment #ProductivityTools
    0 Comments ·1 Shares ·463 Views ·1 Plays
  • How to use Gemini Code CLI

    The Gemini CLI is an open-source AI agent that brings the power of Google's Gemini models directly into your terminal. It allows you to interact with Gemini for various tasks, including code understanding, editing, and even automating operational tasks. The CLI uses a "reason and act" (ReAct) loop, leveraging built-in tools and external servers to complete complex requests.

    To use Gemini Code CLI in VS Code, first install the Gemini Code Assist extension from the VS Code Marketplace. Then, you can interact with it by opening the command palette (Ctrl/Cmd + Shift + P) and typing Gemini: Start Chat to begin a chat session, or using the /generate command in a code file to generate code based on your prompts.

    https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/

    #GeminiCLI #GeminiCodeAssist #AIagent #opensource #googleai #vscode #codegeneration #ReAct #terminal #commandline #codeunderstanding #codeediting #automation #codepilot #githubcopilot #amazoncodewhisperer #aicoding #googlecloud #developers #codingtools
    How to use Gemini Code CLI The Gemini CLI is an open-source AI agent that brings the power of Google's Gemini models directly into your terminal. It allows you to interact with Gemini for various tasks, including code understanding, editing, and even automating operational tasks. The CLI uses a "reason and act" (ReAct) loop, leveraging built-in tools and external servers to complete complex requests. To use Gemini Code CLI in VS Code, first install the Gemini Code Assist extension from the VS Code Marketplace. Then, you can interact with it by opening the command palette (Ctrl/Cmd + Shift + P) and typing Gemini: Start Chat to begin a chat session, or using the /generate command in a code file to generate code based on your prompts. https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/ #GeminiCLI #GeminiCodeAssist #AIagent #opensource #googleai #vscode #codegeneration #ReAct #terminal #commandline #codeunderstanding #codeediting #automation #codepilot #githubcopilot #amazoncodewhisperer #aicoding #googlecloud #developers #codingtools
    Gemini CLI: your open-source AI agent
    blog.google
    Free and open source, Gemini CLI brings Gemini directly into developers’ terminals — with unmatched access for individuals.
    0 Comments ·0 Shares ·403 Views
  • Google Code Assist, powered by Gemini, provides AI-driven support for software development. It is available in both free and paid versions and aids developers in building, deploying, and operating applications. The Google Cloud Shell Editor includes Gemini Code Assist pre-installed, offering a no-cost development environment.

    https://codeassist.google/

    #googlecodeassist #gemini #ai #aicoding #googlecloudshell #cloudshell #clouddevelopment #softwaredevelopment #pairprogramming #codegeneration #codecompletion #codereview #codingtools #githubcopilot #amazoncodewhisperer #codeium #jetbrainsai #vscodeai
    Google Code Assist, powered by Gemini, provides AI-driven support for software development. It is available in both free and paid versions and aids developers in building, deploying, and operating applications. The Google Cloud Shell Editor includes Gemini Code Assist pre-installed, offering a no-cost development environment. https://codeassist.google/ #googlecodeassist #gemini #ai #aicoding #googlecloudshell #cloudshell #clouddevelopment #softwaredevelopment #pairprogramming #codegeneration #codecompletion #codereview #codingtools #githubcopilot #amazoncodewhisperer #codeium #jetbrainsai #vscodeai
    Gemini Code Assist | AI coding assistant
    codeassist.google
    Get AI coding and programming help no matter the language or platform with Gemini Code Assist from Google.
    0 Comments ·0 Shares ·446 Views
More Results
Displaii AI https://displaii.com