Anthropic Academy - Build with Claude Start developing Claude-powered applications with our comprehensive API guides and best practices https://www.anthropic.com/learn/build-with-claude What you learn (Explore by topic) - Claude 4 Learn how to harness the intelligence and capability of our latest models, Claude Sonnet 4 and Claude Opus 4 - APIs & SDKs Learn about Anthropic's APIs, SDKs, and other development tools - Agents Build autonomous agents and agentic systems that understand, plan, and execute complex tasks - Model Context Protocol (MCP) Build advanced applications with the Model Context Protocol - Claude Code Speed up your development with Claude Code - Tool use Extend Claude's capabilities by connecting to external tools and APIs - Extended thinking Improve Claude's ability to solve complex tasks by allowing it to reason - Retrieval augmented generation (RAG) Build effective RAG systems to enhance Claude's responses with external data - Prompt engineering Create effective prompts that maximize Claude's performance - Evaluations Test and improve Claude's performance with structured evaluations - Prompt caching Optimize performance and reduce costs by reusing Claude's responses - Vision Harness Claude's ability to understand and analyze visual information - Computer use Learn how to use Claude models to interact with a computer desktop environment - Hackathon hacker guide Resources to help you get started with Claude, whether you're hacking with us at an event or on your own

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

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

So Augment offers a Context Engine, MCP integrations, Persistent Memory and more ... Try it here its free (for about 50 messages a month ...now where have l heard of that huh Cursor and Windsurf ???) https://www.augmentcode.com/ And the announcmeent made in April this year is in this article here: https://www.augmentcode.com/blog/meet-augment-agent #augment #augmentcode #contextengine #mcp #persistentmemory #aicoding #aidevelopment #cursor #windsurf #codecompletion #ai #codingtools #softwaredevelopment #codingassistant #freecodingtools

How l switched back to Augment Code from Claude Code ! Tried new Claude Code ... verdict: Worth every penny love the little to-do lists but hell lot expensive ! So what do l do l head back home to the loving arms of Augment Code ... still the best and always will be ! (For now 🤫 ... you know relationships nowadays) So this article exaplins why they are nota big fan of Model Pickers ... makes sense though would be great to have the ooption still !). Here is a low done on Augment code and its recent updates: Augment Code is considered a top AI coding agent due to its advanced context engine, which enables personalized and efficient code generation, and its seamless integration with popular IDEs. It also boasts features like memory persistence, which allows it to adapt to individual coding styles, and Multi-Context Programming (MCP) for connecting to various tools and systems, enhancing its utility in the development workflow. Here's a more detailed breakdown of why Augment Code stands out: 1. Contextual Awareness and Memory: Context Engine: Augment's Context Engine is a key differentiator. It analyzes the entire codebase in real-time, providing context-aware suggestions and code completions, leading to more accurate and relevant AI-driven code generation. Memory Persistence: The platform remembers your coding style and project patterns, ensuring that its suggestions are tailored to your preferences and codebase over time, improving efficiency and reducing errors. MCP (Multi-Context Programming): Augment Code goes beyond just the code by integrating with various tools and systems, such as Vercel, Cloudflare, and more, allowing it to gather more information, automate tasks, and even fix issues in live systems. 2. IDE Integration and Workflow: Seamless Integration: Unlike some AI coding tools that require a separate editor, Augment Code integrates directly with popular IDEs like VS Code, JetBrains, Vim, and GitHub, allowing developers to leverage its AI capabilities within their familiar environment. Code Checkpoints: Augment Code automatically tracks changes and creates checkpoints, enabling easy rollback and providing peace of mind when the agent tackles complex tasks. Remote Agent Functionality: Augment Code can operate in a separate container, allowing developers to work on code even when their main machine is off or unavailable, and even run multiple agents in parallel. 3. Advanced Features and Capabilities: Multi-Modal Support: Augment Code can handle various inputs, including screenshots and Figma files, making it helpful for implementing UI elements and debugging visual issues. Terminal Interaction: Beyond code editing, Augment Code can run terminal commands, streamlining tasks like installing dependencies or running dev servers. Auto Mode: For a more streamlined experience, Augment Code offers an Auto Mode, where it automatically applies suggested changes without requiring explicit confirmation for each action. 4. Focus on Collaboration and Productivity: Developer-Centric: Augment Code is designed to work alongside developers, enhancing their existing workflow rather than replacing it, making it a collaborative rather than a replacement tool. Time Savings: By automating tasks, providing accurate suggestions, and handling repetitive coding tasks, Augment Code frees up developers' time to focus on more complex and creative aspects of their work. Continuous Improvement: Through feedback loops and learning from user interactions, Augment Code continuously improves its performance and adapts to the evolving needs of developers. https://www.augmentcode.com/blog/ai-model-pickers-are-a-design-failure-not-a-feature #augmentcode #claude #aicodingagent #aicode #vscode #jetbrains #vim #github #ideintegration #codingtools #productivitytools #memorypersistence #contextengine #multicontextprogramming #vercel #cloudflare #codecheckpoints #remotework #multimodal #figma #terminalinteraction #automode #developercentric #aitools #aidesign #coding #softwaredevelopment #aitool

For all the techies ... ever consider how to build your own MCP Server??? Here is a tutorial probably worth it. To build an MCP (Model Context Protocol) server, you'll need to set up a development environment, define tools and resources, and implement the server logic to handle requests from clients. The MCP standard enables AI models to interact with external tools and services, making it easier for agents to access and utilize various functionalities. https://youtu.be/egVm_z1nnnQ?si=34eVdx8fSL6eaaq_ https://dev.to/debs_obrien/building-your-first-mcp-server-a-beginners-tutorial-5fag

Noone left behind ... or perhaps willing to stay behind should the new mantra ! No the one to be outdone Docker is going full-in on MCP servers with an entire catalogue. The Docker MCP Catalog is a trusted, Docker-Hub–integrated registry that hosts over 100 verified, versioned MCP servers packaged as Docker images, enabling instant, isolated, and consistent tool deployment. By containerizing each MCP server, it eliminates environment conflicts, streamlines setup, and ensures predictable cross-platform behavior. The catalog, accessible via Docker Hub, Docker Desktop, and GitHub, also offers straightforward contribution and fast publication workflows for partners such as New Relic, Stripe, and Grafana. #docker #mcp #mcpservers #dockerhub #dockerdesktop #containerization #claude #anthropic #aitools #devtools #microservices #serverless #kubernetes #crossplatform #aiintegration #tooldeployment #newrelic #stripe #grafana #registry https://www.youtube.com/watch?v=98M_6njOnus&ab_channel=Docker

Apify's MCP Server enables integration with over 4,000 Apify Actors, allowing users to connect a vast range of data extraction and automation tools. This integration can be particularly useful for creating AI agents or incorporating web data into workflows. Apify seems to offer solutions for monetization related to these MCP Servers. The use of MCP Server allows for the easy integration of actors with different LLMs. #apify #mcpserver #dataextraction #webautomation #aiagents #llmintegration #webscraping #scrapy #beautifulsoup #selenium #puppeteer #playwright #automation #datamining #webdata #workflows #monetization #actors #integration #ai https://docs.apify.com/platform/integrations/mcp https://apify.com/integrations

In this theater session, Software Engineer Eleanor Boyd walks through building a custom MCP (Model Context Protocol) server in Visual Studio Code using GitHub Copilot and Python. She walks through a real use case, fetching PyPI package data, and shows how to connect your tool to Copilot’s Agent Mode for powerful AI-assisted coding. #MCP #ModelContextProtocol #VisualStudioCode #GitHubCopilot #Python #PyPI #AIAssistedCoding #AgentMode #SoftwareEngineering #CodeDevelopment #AItools #Codegen #CodeCompletion #Tabnine #AmazonCodeWhisperer #JetBrainsAIAssistant https://youtu.be/SYcQXozpb_E?si=8QgX0-7lr3WsA0ZJ

🚀 Unlock the Power of Model Context Protocol (MCP) with Sampling! 🌟 In the latest installment of the MCP crash course, we dive into sampling, one of the most powerful features of the protocol. This innovative approach allows servers to delegate tasks back to the client's LLM, enabling a seamless integration of AI functionalities without overwhelming server resources. Key Highlights: Bidirectional Architecture: While LLM clients typically invoke server logic, sampling lets servers request input from the client’s AI model, creating a more efficient workflow. Cost Efficiency: By transferring the burden of AI computation to the client, it reduces server load and associated costs. Flexibility & Scalability: Clients can choose their preferred models for different requests, which enhances application scalability and user customization. By implementing sampling, developers can build better, more responsive AI-driven applications. Discover how to optimize your MCP servers and improve the overall performance with practical examples and best practices in the full article! #AI #MachineLearning #TechInnovation #ModelContextProtocol #MCP #Sampling #ServerSideLogic #LLM #OpenSource #DevCommunity https://www.dailydoseofds.com/model-context-protocol-crash-course-part-5/

ElevenLabs offers a free, experimental AI voice assistant, 11ai, designed for voice-first interactions. During its experimental phase, free access is provided to gather user feedback and showcase its capabilities. Users can build and customize their own AI voice assistants, integrating them with numerous tools. The AI assistant can automate tasks, leveraging MCP integration. The emphasis is on voice-first interaction and task automation, making it accessible and easy to use. https://11.ai/app/sign-in?redirect=%2F #AIRevolution #VoiceAssistant #TechInnovation #AI #Automation #FutureTech #ElevenLabs #VoiceTechnology #TechForGood #DigitalTransformation #Innovation #SmartTech #TechTrends #AIIntegration #VoiceFirst #AutomationTools

Welcome to 11ai Experimental The personal AI voice assistant, built with ElevenLabs Conversational AI. The ultimate personal assistant Plan your day, research customers with Perplexity, manage Linear tickets, and message your Slack team - all with just your voice. MCP support Out-of-the-box connections to Perplexity, Linear, Slack, and more. Or connect your own MCP servers for custom workflows. Choose from 5,000+ voices Pick the perfect voice from our library or clone your own in seconds. https://elevenlabs.io/blog/introducing-11ai #AIRevolution #VoiceAssistant #11ai #FutureTech #ProductivityTools #AIInnovation #TechLovers #AIForEveryone #DigitalAssistant #WorkSmarter #VoiceTech #ElevenLabs #AIIntegration #TechTrends #SmartLife