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Handle remote tool calling with Model Context Protocol

Model Context Protocol (MCP) is an open source standard to connect AI agents to data sources.
MCP servers act as bridges between data sources and AI agents, while MCP clients leverage the protocol to access tools and data.
MCP hosts handle communication between servers and clients, enabling interaction in applications like chat or IDE.
This tutorial explains how to create an MCP server using TypeScript SDK and use watsonx.ai Flows Engine to connect remote tools.

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Dev

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Deploy CrewAI Agent to the Cloud ⚡⚡⚡

This article guides you through deploying a CrewAI agent to a cloud endpoint using Itura's free tier in a serverless environment.
Prerequisites include a GitHub account, basic CrewAI understanding, uv package manager, and an OpenAI API key.
The deployment involves hosting a CrewAI agent on a serverless cloud endpoint with the ability to initiate and execute upon receiving POST requests.
You can locally run the agent using environment variables set in the .env file and the CrewAI CLI.
Steps include downloading the source repository, installing Flask, creating a /run endpoint, and generating a requirements.txt file.
Deployment involves pushing code to a GitHub repository, creating a new agent project on app.itura.ai, adding environment variables such as the OpenAI API key, and initiating the agent by sending a POST request.
Once deployed, you can monitor the agent's status, logs, and metrics from Itura's dashboard.
Updating the deployment code is as simple as pushing a new commit to the GitHub repository, which Itura will automatically detect and apply.
For more information on Itura, you can visit itura.ai.

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Dev

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OpenAI’s AI-Powered Social Network: A Strategic Play or Another Tech Turf War?

OpenAI, the team behind ChatGPT, is reportedly entering the social media space with an AI-powered social network, potentially competing with Twitter and Meta's upcoming AI-driven platforms.
OpenAI's platform is expected to utilize ChatGPT to revolutionize social media interactions with AI-generated posts, AI-powered moderation, and personalized AI companions resembling real people.
Testing OpenAI's AI-driven social network poses challenges for Quality Assurance (QA), as it involves testing generative AI interactions, context-aware responses, and evolving edge cases.
There is speculation about potential blockchain integration on OpenAI's platform, enabling Web3 concepts like decentralized identity, on-chain content verification, and tokenized creator economies.

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Dev

408

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Building a RAG-Powered AI Customer Support Chatbot with Stream and OpenAI

Retrieval Augmented Generation (RAG) allows Large Language Models (LLMs) like GPT-4 to access external knowledge sources for better responses, making them effective for customer support chatbots.
RAG provides relevant information from knowledge bases as context during response generation, creating automated customer support systems.
Tutorial guides building a RAG-powered chatbot using Stream, OpenAI's GPT-4, and Supabase's pgvector.
Vector database set-up involves enabling pgvector, creating table for documents with content and embedding columns, and implementing a match_documents function for similarity searches.
Express server is set up to create and store vector embeddings from knowledge base using OpenAI embeddings API and Supabase.
Authentication for customers is managed with Stream, where a token is generated and sent to the frontend for user/channel authentication.
A route in Express handles customers' queries, generates embeddings, performs similarity search, leverages context from the knowledge base for AI responses using OpenAI chat completions.
React with Vite is used at the frontend to create the chat UI, connecting to the backend server for handling customer queries and responses.
Chat UI includes components for sending messages, interacting with the AI Support Bot powered by OpenAI, and displaying responses in the support channel.
Application can be extended for human support requests, multi-user collaboration, and exploring different technologies for building RAG systems.

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Medium

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Qwik: The Next Big Thing in Resumable Apps That Will Blow Your Mind!

Qwik is a new technology for resumable apps that eliminates the need for costly hydration in server-side rendering (SSR) and client-side rendering (CSR).
Qwik's resumability allows the serialization of an application's state on the server and quick resume on the client, resulting in instant interactivity and minimal initial JavaScript payload.
Qwik promises sub-second page loads, even on mobile devices, with its approach to resumable apps.
Qwik's architecture is built around three key concepts and leverages the Qwik Optimizer tool for code transformation.

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Medium

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Panic: A Wave of Unemployment is Coming for Programmers!Why even learn Python anymore?

AI has made coding more streamlined and efficient, making Python more valuable to learn.
Python is the backbone of modern AI, with most AI tools and frameworks built with Python.
Learning Python can help programmers ride the wave of increasing AI adoption and development.
AI can assist in automating tasks, such as writing Python scripts for parsing Excel files.

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Analyticsindiamag

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xAI Launches Grok Studio for Developers

Elon Musk’s xAI has launched Grok Studio to streamline the coding experience for users.
Grok Studio allows users to generate and execute code, create documents, collaborate in real time, and work with files from Google Drive.
The platform supports live code execution in popular languages like Python, C++, JavaScript, TypeScript, and bash script.
Grok Studio enhances focus and collaboration, providing a separate workspace for building interactive reports, articles, and browser-based games.

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Jetbrains

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PyCharm, the Only Python IDE You Need

PyCharm is now a unified product, with core functionality and Jupyter Notebook support available for free.
Previously, PyCharm offered separate Community and Professional editions, but now everything is in one place.
Users can switch between core and advanced features seamlessly within the same installation.
A free one-month Pro trial is provided with every new major release, after which users can choose to continue with a Pro subscription or use the core features for free.

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Siliconangle

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JetBrains launches Junie, its AI coding agent for developers

JetBrains launches Junie, its AI coding agent for developers.
Junie, the AI coding agent, can automate coding tasks and assist developers in completing routine and complex coding tasks.
Developers can delegate tasks to Junie by providing project goals in conversational English, enabling collaborative coding.
JetBrains also announces major upgrades to the AI Assistant, providing improved code completion and increased context awareness.

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Medium

206

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How To Pick The PERFECT Tech Stack

When choosing a tech stack for your project, it's important to start simple and gradually learn new technologies as you need them.
For web development, HTML, CSS, and JavaScript are essential, and you can choose a web framework based on your preferred programming language.
For mobile app development, you can go with native development using Swift for iOS and Kotlin for Android, or opt for cross-platform development with React Native or Flutter.
In desktop app development, the tech stack will depend on the operating system. You can use Swift for macOS, C# for Windows, or Java (JavaFX/Swing) for cross-platform development.
When it comes to video game development, you can choose between Unreal Engine (C++) for high-end graphics or Unity (C#) for simpler projects.
For AI and machine learning projects, Python is widely used, along with libraries like NumPy and Pandas. scikit-learn is suitable for traditional machine learning, and PyTorch or TensorFlow for deep learning.

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Dev

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Modern Startup Stack Architecture on Azure

When building a startup, choosing the right tech stack is crucial for fast progression and cost efficiency, favoring simplicity over complexity early on.
Example use case of a RAG app startup utilizing Python (FastAPI) for the backend and JavaScript (React) for the frontend.
Architecture components on Azure include Azure Entra ID, Azure DNS, Application Gateway, Azure Virtual Network, Static Web App, App Service Plan, Azure OpenAI, Neon Serverless PostgreSQL, Azure Blob Storage, Azure Key Vault, and more.
The core stack comprises React, Python (FastAPI), Azure OpenAI Service, Neon Serverless PostgreSQL, Azure Blob Storage, GitHub Actions, Azure Key Vault, Azure Monitor, and Log Analytics.
The data flow involves DNS routing, backend processing, AI interactions, and monitoring through Azure tools.
The architecture is designed for scalability, utilizing App Service Plan scaling, Neon for data scaling, OpenAI usage control, Azure Front Door for global reach, and multi-tenant security measures.
Continuous deployment is streamlined using GitHub Actions, enabling feature testing and scaling workflows as the team expands.
Overall, the modern startup stack on Azure with Neon integration facilitates rapid development, cost efficiency, scalability, security, and a focus on product innovation.

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Medium

408

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Why Go is the Secret Weapon for Building Blazing-Fast Real-Time Analytics Dashboards

Go is an excellent fit for building real-time analytics dashboards.
Go's goroutines and channels make it easy to handle streaming data and communicate between concurrent routines.
Being a statically typed, compiled language, Go ensures minimal runtime overhead for handling high-throughput data streams.
Go has solid support for WebSockets, enabling live updates to dashboard frontends in milliseconds.

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Medium

234

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7 Must-Have Tools Every Developer Should Try

Excalidraw is an online drawing tool that allows users to create hand-drawn diagrams quickly and invite others to collaborate.
CodeSee creates visual maps of code, making it easier to understand complex projects and reducing the time for new developers to become productive.
HedgeDoc is a collaborative tool for writing documents in Markdown, ideal for technical teams and syncing with GitHub.
Hoppscotch (formerly Postwoman) is a browser-based tool for testing APIs, offering a clean interface, request customization, and formatted response viewing.

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Medium

323

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Starter Town Ep. 4: Shopping without a list

In this episode of Starter Town, the concept of operators is introduced to handle numbers in coding.
The importance of the order in which mathematical operations are performed is highlighted by using the example of calculating the cost of cat collars.
Variables are explained as a way to label data and make the calculations less messy and easier to read.
The episode concludes with the realization that the protagonist is not a house cat and doesn't actually wear collars.

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Dev

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Master Modern Web Development with a React JS Course

Fusion Software Institute offers a specialized React JS course for aspiring developers and professionals.
React JS has become one of the most in-demand JavaScript libraries for building user interfaces.
The comprehensive course covers topics like components, props, state, API integration, and more.
Students receive hands-on experience and career support throughout the course.

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