Davidayo’s Post

A simple use case where AI can shine. 🤖🌟 Imagine you're building a new CRUD feature. After grasping the requirements, you define a simple contract: Product API: POST /product { name: "", description: "" } GET /products [{ name: "", description: "" }] This is where AI steps in: * OpenAPI Generation: Use the contract to ask AI to create a comprehensive OpenAPI specification. * API Development: Employ the OpenAPI with codegen tools or AI-powered code generation to bootstrap your API implementation. * Frontend Development: Begin integration immediately by mocking the API using the generated OpenAPI. This approach allows for parallel work between teams, accelerates development, and promotes efficiency. I've recently used StackSpot AI with the steps above and achieved very interesting results! #AI #OpenApi #stackspot #stackspotai

💡 Expanding the Horizons of AI Development! 🚀 In my latest project—a full-stack AI response website built with React.js—I integrated Neon Database to efficiently store and manage dates for AI responses. This choice was driven by Neon’s scalability, performance, and seamless compatibility, enabling the backend to handle data storage with speed and reliability. This addition not only enhances the functionality of the platform but also ensures a robust and efficient system for managing real-time AI interactions. It’s been an incredible journey combining the power of React.js and Neon Database to deliver intelligent, user-centric solutions! #AI #ReactJS #NeonDatabase #WebDevelopment #FullStackDevelopment

You can now turn your application into an AI powerhouse in a few hours.   If you are a developer who wants to build AI functionality into your application with as little effort as possible, this library is pretty magic, and it's open-source!   Star this repository:   https://lnkd.in/eHxrtNVE   You can use this library in many different ways. Here are a few:   • Add an in-app AI chatbot to your project   • Build an AI agent (powered by LangChain and LangGraph)   • Use an AI-powered smart textarea (AI autocomplete)   • Build RAG, function calling and integrations   Here is something super powerful about this:   When you do the integration, the AI functionality will have access to the data from your application. You can use it as context for the model and have the AI act on your application!   Their latest version uses GraphQL and implements React Hooks to customize the behavior of the AI behind the scenes.   CopilotKit🪁 is open-source (MIT license). You can self-host it. You can use it with any LLM.   Thanks to the team for showing me their tool and collaborating with me on this post!

Gooey.AI’s Functions makes for flexibility and ease to incorporate AI into your existing products and services.

🚀 Excited to share my latest work : 1️⃣ 🧠 Leveraged LangChain to harness the power of LLMs for seamless text processing. 2️⃣ 🌟 Integrated Hugging Face's open-source models via API keys for powerful AI capabilities. 3️⃣ 💻 Built a web app using Flask + HTML for a clean and interactive user experience. 4️⃣ 🗨️ Created a site where AI provides intelligent, real-time responses to user text inputs. 🌐 Combining cutting-edge tools to bring conversational AI to life! #AI #LangChain #HuggingFace #Flask #OpenSource #LLM repo : https://lnkd.in/gFUeAatp

ReAct Agents: The Future of Intelligent Automation!✨ Have you ever wondered how AI can break down complex tasks into simple, actionable steps? ReAct stands for Reasoning and Acting. These agents are a cutting-edge development in AI that seamlessly combine reasoning and action. By iteratively analyzing and executing steps, ReAct agents can tackle complex tasks with precision and efficiency. ReAct agents help in: - Enhanced Problem-Solving: ReAct agents excel at breaking down challenges into manageable parts, ensuring thorough analysis and effective solutions. - Dynamic Decision-Making: They can adapt to new information on the fly, making them perfect for real-time applications. Read more about ReAct agents in my latest blog: https://lnkd.in/gFmxA7Pe #MachineLearning #Automation #Innovation #Technology #artificialintelligence

🌟 Gemini 2.0 is a monumental leap in the evolution of AI systems! Google’s focus on speed, multimodality, and intelligent automation is setting new standards for what AI can achieve across industries. 🚀 📌 Agentic AI in Action: Project Astra: The ability to interpret mixed languages and integrate map-based and visual information is a game-changer for real-time applications like navigation and augmented reality. The seamless integration into wearables like eyeglasses is particularly exciting for accessibility and on-the-go productivity. 🌍🕶️ Project Mariner: Automating web navigation tasks like online shopping demonstrates the practical potential of AI to simplify everyday workflows. Coupled with Gemini 2.0’s advanced reasoning, it’s a tool poised to redefine how we interact with the web. 🌐🛍️ 💡 What Stands Out in Gemini 2.0: 1️⃣ Twice the Speed: With Gemini Flash 2.0, developers can achieve real-time performance in applications that demand quick responses. Lightning-fast computation is a win for industries like healthcare, finance, and gaming. ⚡ 2️⃣ Multimodal Versatility: Supporting text, image, and video makes this a universal tool across sectors, from media analysis to enterprise solutions. 📄📷🎥 3️⃣ Advanced Expertise: The focus on coding, reasoning, and math solves key bottlenecks for technical teams, making Gemini 2.0 an indispensable ally for developers and data scientists. 🧑💻🔍 ✨ Why This Matters: Gemini 2.0 isn’t just about incremental improvements—it represents a transformative shift in how AI can be used to empower innovation, automate complex tasks, and create smarter, more adaptive systems. The proprietary video streaming feature is particularly intriguing for real-time applications in industries like surveillance, education, and entertainment. 🎯 🙌 Excited to see what’s next! Gemini 2.0 is a testament to the rapid advancements in AI and its potential to redefine how we work and live. Looking forward to exploring its applications in coding, automation, and beyond. What do you think about the possibilities of AI agents like Astra and Mariner? Let’s discuss how these innovations can shape the future! 💬 #AI #Gemini2 #AgenticAI #Innovation #MachineLearning #GenerativeAI #FutureOfWork #TechTransformation

Don´t use AI to generate code. You are optimizing the wrong thing! Good code does not mean "it works", AI can do that perfectly well. It just doesn´t solve the real problem. Good Code for me is: - Easy to read (by humans) - Easy to understand (by humans) - Easy to extend (by humans) Writing good code requires empathy. AI can´t do that. And you know what? Writing the code is not the bottleneck in software projects. Never was. Why are we constantly trying to optimize this then? Most software projects spend the majority of their time in extension / maintenance mode (if they ever make it through the initial development phase). Using AI for code-generation might speed up the initial project-phase (some claim its 40%, I highly doubt it, I guess its more 10-20% if at all, but the real numbers don´t matter too much). This comes with a bad price you have pay later. And they only tell you when its too late. Maintaining AI-generated code is difficult. It slows me down, as I have to understand what the "thought-process" of this machine was at the time the code was generated. In this video, I´ll show you what I think is the real use case for AI. And how it help to speed up software plannning by 50% to 80%. We just launched our #accelerate program. Want to be an early adopter and use AI to solve the real problem? Lets talk! We are here to help. ----- The quiz example is stolen from Christian Thiel who presented this use case at AxonIQ Conference. I would solve the open question how to prevent the duplicate maintenance of events in typescript by using code generation of both backend and frontend directly from the Eventmodel. #eventmodeling #planning #ai

𝐓𝐡𝐞 𝐀𝐥𝐩𝐡𝐚 𝐀𝐈 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞 𝐋𝐨𝐰 𝐂𝐨𝐝𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Develop faster with minimal coding—AlphaAI handles the backend! 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Reduce dev time by 90% with seamless AI integration and rapid deployment. 𝐂𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥𝐢𝐳𝐞𝐝 𝐒𝐞𝐚𝐫𝐜𝐡: Harness powerful semantic search for highly relevant, intent-driven results. 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Choose any AI model you prefer—AlphaAI’s Model Gateway supports a wide range of options. 𝐔𝐧𝐥𝐨𝐜𝐤 𝐬𝐦𝐚𝐫𝐭𝐞𝐫, 𝐟𝐚𝐬𝐭𝐞𝐫 𝐀𝐈 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝐀𝐥𝐩𝐡𝐚𝐀𝐈! #AuxinAI #LowCode #SemanticSearch #AIDevelopment