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

try.solar lets small teams collaborate with AI agents to build and deploy production apps in minutes. Like Figma, but no mockups — just real software with live data and backend functionality, built by the full-stack AI agent. Try Solar is an AI-powered platform designed for small teams to build and deploy full-stack applications, including AI agents, quickly. It aims to streamline the development process, allowing for rapid creation and deployment of production-ready software. It facilitates collaboration with AI agents, enabling users to build and deploy apps in minutes. The platform provides a streamlined experience, focusing on real software rather than mockups, like Figma. https://try.solar/ #trysolar #fullstackai #aiagents #nocode #lowcode #aidevelopment #applicationdevelopment #softwaredevelopment #productionapps #figma #bubbleio #retool #webdevelopment #rapiddevelopment #aiteams #aicommunities

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

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

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

So, I've been diving into no-code AI agent builders lately, and MindStudio definitely caught my eye. It’s a platform that lets you design, build, and deploy AI agents using a visual interface. The big selling point is the no-code aspect, but it's extensible with code if you need more flexibility. Here’s the lowdown: They boast over 100 templates for different use cases, and claim you can build an agent in under an hour. Honestly, the interface looks clean, but the true test will be how well these agents perform in real-world scenarios. It seems promising for quickly prototyping ideas. https://www.mindstudio.ai/ #MindStudio #NoCodeAI #AIAgents #AICreator #AIAutomation #NoCodeDevelopment #DigitalTransformation #ProductivityTools #TaskAutomation #MindStudioAI #AIBuilder #AgentBuilding

Check this Repo out ! Shubham Saboo's GitHub repository hosts a collection of LLM Apps. These applications leverage large language models (LLMs) from various providers, including OpenAI, Anthropic, and Google, and open-source models. The apps incorporate Retrieval-Augmented Generation (RAG), AI agents, multi-agent teams, and voice agent technologies. This curated list is a valuable resource for exploring the capabilities and applications of LLMs in different contexts. #AwesomeLLMApps #LLM #LargeLanguageModels #OpenAI #Anthropic #GoogleAI #RAG #RetrievalAugmentedGeneration #AIAgents #MultiAgentTeams #VoiceAgents #GitHub #MachineLearning #NLP #AI #Langchain #LlamaIndex #DeepLearning #AISolutions https://github.com/Shubhamsaboo/awesome-llm-apps

l honestly think Warmwind is promising to be a big deal (all this from a person still on the waitlist). Like where else is all transition from Chat Bot technology to Agentic AI going to go ??? Entire Operating systems thats what l think. Check out the demo video by Warmwind and let me know what you think about the future of AI. #Warmwind #AgenticAI #Chatbot #AIagents #AIOS #AIOperatingSystem #AIfuture #AItools #AutonomousAI #AICopilot #CognitiveAI #AutoGPT #BabyAGI https://youtu.be/hYe3pQubPtc https://youtu.be/4tjm-Q1jWGs https://youtu.be/OHR-8aAOtTQ

Catching up on an old friend last l used this AI was ages ago ... glad it caught on and evolving. Tool: BLACKBOX.AI is an AI agent, described as the "best" and designed to transform how people work, learn, and build software. It is used by over 10 million users and Fortune 500 companies, indicating its broad adoption and impact. Its primary function is to accelerate innovation, particularly in software development, suggesting a focus on code generation and related tasks. The repeated emphasis on transformation highlights its aim to significantly alter existing workflows and practices. f https://youtu.be/oXABfT70RPg?si=5SXlY40sI9xVWuuT https://www.blackbox.ai/ https://www.youtube.com/@blackboxbruiser #blackboxai #aiagent #aicoding #codegen #softwaredevelopment #productivitytools #innovation #automation #fortune500 #gpt4 #githubcopilot #codiumai #programming #aitools #workflowautomation

Tool: Qodo AI is a platform focused on improving code quality and developer workflows through AI-powered agents. It offers tools for code generation, testing, and review within integrated development environments (IDEs) and Git workflows. Qodo aims to help developers write better code, identify and fix bugs, and streamline the code review process. So this was Codium before in case wandering so more like a rebrand. Qodo is a quality-first generative AI coding platform, offering developers tools for writing, testing, and reviewing code. Using Qodo, developers can leverage the power of AI directly within their IDE and Git, ensuring that generated code is accurate and high quality. https://www.youtube.com/shorts/IYORBrFyjHM https://www.qodo.ai/ Other Links: https://www.youtube.com/@QodoAI https://youtu.be/-aSX19T6TaY?si=Vw5BMVa95HNry2NU https://www.linkedin.com/posts/qodoai_introducing-qodo-merge-10-to-tackle-ai-assisted-activity-7290368173818761216-2piy/ #QodoAI #CodiumAI #AIcoding #codegeneration #codetesting #codereview #IDE #Git #developerworkflow #AIagents #codequality #jetbrains #visualstudiocode #githubcopilot #amazoncodewhisperer #AICodeAssistant #generativeAI #softwaredevelopment

Tool: Cognition AI is the company behind Devin, which is an AI agent designed for writing code. The co-founders include Scott Wu and possibly Walden Yan and Steven J. as well. Cognition AI was founded in 2022 by three former coders from Susquehanna. Devin's announcement was made on March 12, 2024. So whats the big deal ... Devin isn’t just another “code completion” model. It behaves like a junior software engineer who can pick up a ticket and carry it all the way to a tested pull-request. Try it ! Check out Devin here: https://devin.ai/ officail youtube announcement from Cognition Labs: https://youtu.be/fjHtjT7GO1c?si=fJY9XiFBNrPBKouo #devin #cognitionai #aiagent #aicoding #softwareengineer #cursor #github #copilot #codeium #tabnine #codegen #pullrequest #juniorengineer #automation #aiassistant #programming #devtools #machinelearning #artificialintelligence #coding

So whats the next big fad .... "Context Engineering". So WHAT IS CONTEXT ENGINEERING? 𝟭. It’s Feature Engineering—but for AI Agents. (*Check what's feature engineering down below) 𝟮. The art of filling the context window with exactly what’s needed. 𝟯. You’re managing “working memory” like an operating system manages RAM. 𝟰. Agents need engineered context: instructions, tools, memories, examples, feedback. 𝟱. Poor context = forgotten steps, broken tools, bad decisions. 𝟲. Long-running agents hit context limits fast—engineering is essential. 𝟳. Vibe coding doesn’t scale—context engineering does. In the context of AI prompting, feature engineering refers to the process of creating, selecting, and transforming input data (features) to improve the performance of a machine learning model. It involves using domain expertise and various techniques to make the data more suitable for the AI model to learn from and generate better outputs. Check the following links for context: - Langchain Explanation on what it is: https://youtu.be/4GiqzUHD5AA?si=BEIThE_HOT-i3I9T - First post l saw talking about this was by Andrej Karpathy (@karpathy): https://x.com/karpathy/status/1937902205765607626 - And you may wish to follow this lady she dove right into it detail ... never mind hte course it hella expensive !: https://x.com/MaryamMiradi/status/1940810454013518178 #contextengineering #featureengineering #aiagents #langchain #promptengineering #aioptimization #machinelearning #contextwindow #workingmemory #aiprompting #vibecoding #aiperformance #contextualization #aitraining #aiscaling