Check out these models on Generatech: Claude 4 release (Opus and Sonnet), Gemini 2.5 Pro, ChatGTP (o3, 4.5), Deepseek V3, Grok 3, Ideogram, Flux, Kling, Minimax, Luma, Veo 3 and so much more ... Welcome to AI Heaven no kidding ! Never been this about an AI aggregation Platform ! #Generatech #Claude4 #Opus #Sonnet #Gemini2.5Pro #ChatGPT #DeepseekV3 #Grok3 #Ideogram #Flux #Kling #Minimax #Luma #Veo3 #AIModels #AIAggregationPlatform #AIHeaven #ArtificialIntelligence #GenerativeAI https://x.com/sentient_agency/status/1941811664871117142

Generatech.ai is an all-in-one platform that provides access to various generative AI models through a single dashboard. It allows users to generate text, images, videos, audio, and engage in chat functionalities, supporting models from providers like Gemini, OpenAI, and Claude. This eliminates the need for separate subscriptions to each AI platform, offering a consolidated and potentially more cost-effective solution for utilizing diverse AI tools. Generatech AI allows you to access all AI models worldwide for a single price. Instead of subscribing to each platform separately, you can subscribe to Generatech AI with a minimal user interface and quickly try out the latest and most up-to-date models! https://generatech.ai/ https://www.producthunt.com/products/generatech-ai https://generatech-studio.com/ #GeneratechAI #generativeAI #AImodels #Gemini #OpenAI #Claude #AIplatform #AItools #textgeneration #imagegeneration #videogeneration #audiogeneration #AIchat #singleDashboard #costeffectiveAI #allinoneAI #AIAccess #DeepAI #SimplifiedAI #ProductHunt

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

Vibetest.io is a platform focused on teaching prompt engineering. It offers hands-on coding challenges to help users learn how to communicate effectively with AI models such as Claude and GPT-4. The platform aims to enable users to transform code through improved prompting techniques. It emphasizes practical application and direct experience to master the art of prompt engineering. https://vibetest.io/ #vibetestio #promptengineering #ai #gpt4 #claude #prompting #ailearning #promptdesign #codingchallenges #aiplayground #learnai #promptcrafting #promptdeveloper #aieducation #durableknowledge

For those of you heavy on Claude code you might want to consider this article from Anthropic after the release of Claude Code: Claude Code is a command line tool for agentic coding. This post covers tips and tricks that have proven effective for using Claude Code across various codebases, languages, and environments. We recently released Claude Code, a command line tool for agentic coding. Developed as a research project, Claude Code gives Anthropic engineers and researchers a more native way to integrate Claude into their coding workflows. Claude Code is intentionally low-level and unopinionated, providing close to raw model access without forcing specific workflows. This design philosophy creates a flexible, customizable, scriptable, and safe power tool. While powerful, this flexibility presents a learning curve for engineers new to agentic coding tools—at least until they develop their own best practices .... (continue on the link below) https://www.anthropic.com/engineering/claude-code-best-practices

News: So AI has begun replacing junior level employees in various sectors .. now the major question is whether AI is ready to lead organistations? Like run a small shop for example ? Thats precisely what Anthropic did ... and the results .... TERRIBLE! But soon .. so don't move fromt hat edge just yet 😆 Project Vend: Can Claude run a small shop? (And why does that matter?) So I stumbled upon a fascinating experiment where Claude, an AI developed by Anthropic, was tasked with running a small vending machine shop for a month. This endeavor aimed to explore the practical applications of AI in economic environments. Here’s the lowdown: Claude demonstrated some ability to handle customer interactions and product sourcing, yet it fell short in several areas like inventory management and pricing strategy, leading to embarrassing setbacks, including losing money and making bizarre decisions. While it reveals AI's potential, it also highlights the limitations of current technology. It’s a vivid reminder that AI still struggles with complex, real-world business management. #ClaudeAI #Anthropic #AINoCode #TaskAutomation #AIManagement #BusinessAI #Productivity #Automation #AIExperiments #TechInsights https://www.anthropic.com/research/project-vend-1

Its finally here ... and here l m m talking about th e first AI Operating System !.. Or is it ... lets see Warmwind is a groundbreaking cloud-based employee that uniquely operates like a human by interacting with various applications through mouse and keyboard input without requiring programming knowledge. It autonomously performs tasks such as social media management, customer support, proactive competition monitoring, accounting, recruitment assistance, website monitoring, and innovation scouting, thereby streamlining business operations. With the potential to scale from one to a thousand workspaces, Warmwind provides an efficient solution designed for companies looking to automate and enhance their productivity. Particularly bold claims made against Claude there if l might say ... lets if it lives up to the hype. #Warmwind #AIOperatingSystem #AISolutions #Automation #CloudBased #EmployeeAutomation #Productivity #TaskAutomation #BusinessAutomation #NoCode #CustomerSupport #SocialMediaManagement #UiPath #AutomationAnywhere #BluePrism https://warmwind.space/

So Claude 4 Opus was down for a lot of users yesterday check out this post form @iannuttall on X: https://x.com/iannuttall/status/1940687651776221634 If you are heavy on Claude code use and wish to check the status of the models (uptimes) then use this tool, super useful: https://status.anthropic.com/ The Anthropic Status document reports that all core services (claude.ai, console.anthropic.com, and multiple API endpoints) whether or not they are presently operational, outlines the standard incident-severity categories used on the status page, and logs a series of short-lived incidents—most recently on 3 July 2025, that temporarily increased error rates for Claude 4 Opus and Sonnet models but were mitigated through rapid investigation, fixes, and monitoring. #claude #anthropic #claude4opus #claudesonnet #statuspage #uptime #aimonitoring #apistatus #claudeai #serviceoutage #aitools #llm #chatbot #systemstatus #devtools

"You got Rizz ... l got Rizz" soon will be "You got Prompts ... l got Prompts" ... let me show you ! Prompts.chat is a curated collection of effective prompts for ChatGPT and other AI assistants, curated by Fatih Kadir Akın. While designed for ChatGPT, these prompts can be adapted for Claude, Gemini, Llama, and other language models to help you get more out of AI interactions. #promptschat #chatgpt #claude #gemini #llama #aiprompts #promptengineering #aiassistants #promptcollection #languagemodels #aiinteractions #promptlibrary #aitools #conversationalai #promptoptimization https://prompts.chat/

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

The ever-so careful Anthropic ! Meticulously daling with the fundamentals the complete exact opposite of OpenAI (Oh wait they are ex-OpenAI emplyess by the way .. right ?) Anthropic’s new Research feature adopts a multi-agent architecture where a lead Claude model orchestrates specialized subagents that search the web and other tools in parallel, enabling dynamic, breadth-first investigations that outperform single-agent approaches. Achieving dependable performance required careful prompt engineering—teaching agents how to delegate, scale effort, choose tools, and think aloud—as well as bespoke evaluation methods that combine LLM-as-judge metrics with human review. While the system delivers significant accuracy and speed gains, it also introduces engineering and economic challenges such as heavy token consumption, stateful error handling, and complex deployment, all of which demand rigorous observability, iterative testing, and robust production safeguards. #claude #anthropic #research #multiagent #airesearch #webresearch #perplexity #searchgpt #tavily #aiagents #promptengineering #llmasajudge #aiorchestration #parallelprocessing #breadthfirst #tokenoptimization #aiobservability #productionai #aitools #aievaluation https://www.anthropic.com/engineering/built-multi-agent-research-system

Artifacts turn anyone into an app creator—no coding needed. Just tell Claude your idea to instantly create shareable apps, tools, and games. Now developers can iterate faster on their AI apps without worrying about the complexity and cost of scaling for a growing audience. https://youtu.be/PBxwtabGltc?si=qEnyaIKHEOgS_7p0