Amith Chandrappa’s Post

Exciting News from the world of GraphQL! Introducing Grafbase, a powerful tool that simplifies the complexity of building big and dynamic applications. With Grafbase, you can effortlessly connect and link various data sources into a single unified GraphQL endpoint. One of Grafbase's standout features is its ability to import your existing schema from GitHub repositories. This allows you to conveniently edit your schema within the Grafbase platform. Plus, enjoy the added benefit of testing your schema before deploying it. Curious to learn more about how Grafbase can revolutionize your GraphQL experience? Check out this informative blog post: [link](https://lnkd.in/dBBj_tEN). Stay ahead of the game with enhanced GraphQL development with Grafbase!

Happy to have made a meaningful contribution to the Astro project! 🌟 I recently identified and resolved an issue in the blog starter template, fixing the path to the included blog posts for a smoother developer experience and prevent confusion. Every tweak counts towards enhancing usability and efficiency. Check out the pull request here: https://lnkd.in/g3XJdC4E Learn more about Astro and its capabilities at https://astro.build/. #opensource #astro #github #contributions #developercommunity

People at work were talking about #OpenHub, I had completely forgotten about that tool. I noticed two really, really old Open Source projects I had on there which only I ever used. These two projects I had long moved to Gitlab, then archived, then eventually deleted them. Oops, I probably shouldn't have done that for historical reasons but at the time I thought "this project will never be useful again to anyone". I can't seem to remove the projects from OpenHub so I just marked them (abandoned) in the description, and removed the link to the now dead source from each project. It did pick up my Samba contributions though, and I took the opportunity to add my two projects I *actually* maintain: https://lnkd.in/gDDgQVfT https://lnkd.in/gDFbzdJy I have no idea how long it will do to do code analysis no those two projects I added, 24 hours probably. Do people still use OpenHub? Is it still relevant? That UI looks like it's built by a backend developer 🤣

Summary: The article provides a comprehensive guide to understanding and implementing createContext in React. It explains how createContext can be used to manage state and share data between components without the need to pass props down through each level of the component tree. It includes example implementations for managing user authentication and cost-related data using createContext and demonstrates how to consume context in components. Takeaway: createContext in React is a powerful tool for managing and sharing state across components, enabling efficient global state management and eliminating the need for prop drilling in React applications. Hashtags: #React #createContext #StateManagement #ComponentSharing #ReactDevelopment #ContextAPI

Staying aware of the latest developments in the tech world is essential for innovation and progress. One effective method is to explore trending #GitHub repositories. These projects are gaining popularity among #developers and offer insights into emerging technologies and industry trends. By monitoring what's trending, you can make informed #decisions for your tech teams and projects, staying ahead of the curve. Embrace the power of #opensource collaboration and dive into the exciting world of trending GitHub repositories! You can checkout trending projects here: https://lnkd.in/ga5YEpUJ

Learnt to integrate Tavily and Google API keys to fetch and display informations as per the user queries. Using Streamlit, I created an interactive web interface where users can input queries and receive real-time responses. Additionally, I have also utilized langchain, its functions, agents, and tools effectively throughout the project. In next iteration, I will be fetching the images from the datas that are retrieved and merging them together to get Content, the URL of the information, and the images on it. Check the repo : https://lnkd.in/d7SvqGj9

At BloomTech, we prototype and deploy agents every week. Follow our 4-step guide to do the same: Step 1: LangServe: Install and set up your LangChain-based agent. Step 2: Docker: Create a Dockerfile to containerize your application. Step 3: LangChain CLI: Initialize Docker setup and manage your project. Step 4: Render: Deploy your Dockerized application on Render, configure settings, and monitor from the dashboard.

🚀 Streamline Your Workflow with Vuesion's Code Generators! 🔧 Vuesion's code generators are powerful tools designed to speed up your development process. With a simple command, you can generate new components, pages, stores, and even RESTful APIs, ensuring consistency and reducing repetitive tasks. 💡 These generators not only save time but also help maintain a clean and organized codebase. Discover how Vuesion's code generators can enhance your project: https://lnkd.in/dwTBJCpm

🚀 System Design 101: Building Scalable Solutions Mastering system design is essential for robust tech projects. It's the blueprint for scalable, reliable, and efficient systems. Check out this curated collection of system design resources on GitHub to dive deep: https://lnkd.in/gYjHsjMX #SystemDesign #Tech #Scalability #GitHub

🎏🕸️Streaming with #LangGraph Explore LangGraph as way to construct language agents as graphs Because this is built on LangChain, it comes with the ability to stream intermediate steps as well as tokens Check it out:https://lnkd.in/gZGGvGH6