The European Commission has recently released guidelines aimed at clarifying the obligations for providers of general-purpose AI (GPAI) models under the upcoming AI Act (https://digital-strategy.ec.europa.eu/en/news/learn-more-about-guidelines-providers-general-purpose-ai-models ). These guidelines are intended to ensure that these AI models adhere to principles of transparency and comply with EU and national copyright laws (https://digital-strategy.ec.europa.eu/en/policies/guidelines-gpai-providers ). One of the key focuses of the guidelines is the assessment and mitigation of systemic risks associated with the deployment of advanced GPAI models, particularly those that could have significant societal impacts (https://artificialintelligenceact.eu/providers-of-general-purpose-ai-models-what-we-know-about-who-will-qualify/ ). By providing a clear framework, the Commission aims to offer legal certainty for all stakeholders involved in the AI value chain, detailing when and how these obligations will apply (https://bdva.eu/news/ec-released-guidelines-for-providers-of-general-purpose-ai-models/ ) (https://eulawlive.com/commission-publishes-guidelines-for-providers-of-general-purpose-ai-models-to-meet-ai-act-obligations/ ). Overall, the guidelines represent a crucial step in regulating AI technologies within the EU, fostering responsible development while addressing potential risks associated with their use (https://www.integrin.dk/2025/07/19/assisting-general-purpose-ai-models-providers-new-guidelines/ ). #GPAI #AIACT #EuropeanCommission #AIregulation #AIgovernance #SystemicRisk #Transparency #CopyrightLaw #LegalCertainty #ResponsibleAI #EUAIAct #AICompliance #AIethics

VibeTest encompasses a range of tools and platforms focused on enhancing interactions with AI and automating quality assurance (QA) testing for websites. One of the primary offerings is VibeTest.io, which specializes in teaching prompt engineering. This platform provides hands-on coding challenges that help users effectively communicate with AI systems such as Claude and GPT-4, aiming to improve the transformation of code through better prompts (https://vibetest.io/ ) (https://github.com/browser-use/vibetest-use ). On the other hand, the Vibetest MCP (Multi-Channel Platform) servers automate QA testing by deploying AI agents to identify various website issues, including UI bugs, broken links, and accessibility problems. This system is designed to streamline the testing process by launching multiple browser agents that crawl and evaluate web pages for technical flaws (https://apidog.com/blog/vibetest-use-mcp/ ) (https://www.mcpworld.com/en/detail/9ab49d16442b62a5e1ec9de97e05726d ). The Vibetest-use MCP server specifically focuses on these automated testing capabilities, emphasizing its efficiency in detecting and flagging potential issues (https://github.com/luk1337/VibeTest ). Overall, VibeTest is at the intersection of AI prompt engineering and automated web testing, providing valuable resources for both developers looking to enhance their AI interactions and teams aiming to ensure the quality of their web applications. https://vibetest.io/enterprise https://vibetest.io/ #VibeTest #PromptEngineering #QAAutomation #AITesting #WebTesting #VibeTestIO #Claude #GPT4 #MCP #Selenium #Cypress #AccessibilityTesting #UIBugs #BrokenLinks #AutomatedTesting

The all-in-one AI application Everything great about AI in one desktop application. Chat with docs, use AI Agents, and more - full locally and offline. Leverage powerful AI tooling with no set up - Supports custom models Stay local fully with our built-in LLM provider running any model you want. Or leverage enterprise models from OpenAI, Azure, AWS, and more. - Use every type of document. PDFs, word documents, CSV, codebases, and so much more make up your business - now you can use them all. Even import docs from online locations - Full privacy AnythingLLM comes with sensible and locally running defaults for your LLM, embedder, vector database, and storage and agents. Nothing is shared unless you allow it. https://anythingllm.com/

What is Amazon Bedrock AgentCore? Amazon Bedrock AgentCore enables you to deploy and operate highly capable AI agents securely, at scale. It offers infrastructure purpose-built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real-world deployment. AgentCore services can be used together or independently and work with any framework including CrewAI, LangGraph, LlamaIndex, and Strands Agents, as well as any foundation model in or outside of Amazon Bedrock, giving you ultimate flexibility. AgentCore eliminates the undifferentiated heavy lifting of building specialized agent infrastructure, so you can accelerate agents to production. https://aws.amazon.com/bedrock/agentcore/ #AmazonBedrockAgentCore #AgentCore #AWS #AIagents #AI #LLMs #CrewAI #LangGraph #LlamaIndex #StrandsAgents #FoundationModels #AIinfrastructure #AgentOrchestration #AIdeployment #ServerlessAI #AutoGen #MLOps

Microsoft offers a variety of resources and courses for beginners interested in AI agents. Their learning platform, Microsoft Learn, provides structured modules that cover the basics of AI and how to build intelligent agents using tools like Azure Cognitive Services and Bot Framework . These courses are designed to help newcomers understand key concepts in AI, including natural language processing and machine learning . Additionally, Microsoft has created hands-on labs and tutorials that guide users through the process of developing their own AI applications . This practical approach not only enhances learning but also equips beginners with the skills needed to implement AI solutions in real-world scenarios . Overall, Microsoft's commitment to education in AI ensures that aspiring developers have access to comprehensive resources to kickstart their journey into the world of AI agents. https://microsoft.github.io/ai-agents-for-beginners/ https://microsoft.github.io/AI-For-Beginners/ https://github.com/microsoft/ai-agents-for-beginners #microsoftlearn #aieducation #aiagents #azurecognitiveservices #botframework #nlp #machinelearning #aimicrosoft #airealworld #ai #aiagentsforbeginners #hands-onlabs #aitutorials #googlecloudai #awsai #cortana

Craft a complete full-stack application with a powerful visual canvas Railway builds and deploys any combination of services, volumes, and databases from GitHub or Docker. https://railway.com/ #railway #fullstack #devops #visualcanvas #github #docker #serverless #cloudcomputing #deployment #hosting #vercel #netlify #aws #azure

Amazon's cloud unit introduced Kiro, an AI-assisted coding program, aiming to transform software development. This comes shortly after Google announced hiring staff from AI coding startup Windsurf under a $2.4 billion deal and plans to enhance its Gemini AI for developers. Both Amazon and Google are advancing "vibe coding," while Microsoft updated Visual Studio Code for automated development. Kiro helps manage complexity in vibe coding by defining requirements and tasks before coding, and can create flow diagrams and task lists. Currently, Kiro supports only English, with more languages to come. There will be free and premium options post-preview, with strict privacy for paying users. https://kiro.dev/ #Kiro #AWS #GeminiAI #Windsurf #VisualStudioCode #AICoding #VibeCoding #LowCode #NoCode #SoftwareDevelopment #AIDevelopment #AI #CloudComputing #AmazonAI #GoogleAI #Microsoft #FlowDiagram #TaskManagement #EnglishLanguage #PrivacyFocused #Programming #CodingTools

The IBM Data Engineering Professional Certificate, available on Coursera, prepares individuals for a data engineering career. It focuses on building job-ready and AI skills relevant to the field. The certificate consists of 13 courses, including quizzes, hands-on assignments, and projects. This certification is designed for individuals seeking a career in data engineering and covers essential concepts to excel in this area. It is particularly relevant for IBM Big Data Engineers who collaborate with Data Architects and Developers. https://www.coursera.org/professional-certificates/ibm-data-engineer #IBMDataEngineering #Coursera #DataEngineering #DataArchitect #BigData #AISkills #DataSkills #DataCertification #DataEngineeringCareer #DataEngineeringEducation #GoogleCloudDataEngineer #AzureDataEngineer #AWSDataEngineer #DataBricks #SQL #Python #DataPipeline #DataWarehouse #ETL #Databases

Emergent.sh 2.0 is a groundbreaking AI tool that redefines software development by acting as an autonomous engineering agent. Unlike traditional code generators, Emergent collaborates with developers to design, build, test, and deploy full-stack applications from a single prompt. It handles everything from frontend to backend, infrastructure, testing, and production deployment, ensuring fast, production-ready results in under an hour. With built-in safety features like live previews, rollback options, and scalability agents, Emergent.sh is ideal for migrating legacy systems, creating internal tools, or building new products with ease and security. https://emergent.sh https://www.producthunt.com/products/emergent-2-0 #Emergentsh #autonomousagent #ai #softwaredevelopment #fullstack #nocode #lowcode #aidevelopment #engineeringagent #devtool #saas #vercel #netlify #aws #gcp #azure #migration #legacy #internaltools #productdevelopment #deployment #devops #testing #frontend #backend #infrastructure #productivity #innovation #aicollaboration #automation #safetyfirst #livereload #rollback #scalability #agiledevelopment #productivity

Emergent.sh 2.0 is a groundbreaking AI tool that redefines software development by acting as an autonomous engineering agent. Unlike traditional code generators, Emergent collaborates with developers to design, build, test, and deploy full-stack applications from a single prompt. It handles everything from frontend to backend, infrastructure, testing, and production deployment, ensuring fast, production-ready results in under an hour. With built-in safety features like live previews, rollback options, and scalability agents, Emergent.sh is ideal for migrating legacy systems, creating internal tools, or building new products with ease and security. https://emergent.sh https://www.producthunt.com/products/emergent-2-0 #Emergentsh #autonomousagent #ai #softwaredevelopment #fullstack #nocode #lowcode #aidevelopment #engineeringagent #devtool #saas #vercel #netlify #aws #gcp #azure #migration #legacy #internaltools #productdevelopment #deployment #devops #testing #frontend #backend #infrastructure #productivity #innovation #aicollaboration #automation #safetyfirst #livereload #rollback #scalability #agiledevelopment #productivity

Meta has recently won a copyright case. A federal judge ruled that Meta did not infringe on copyright laws when training its AI models using books from a group of authors. This victory marks a significant legal win for Meta, following a similar positive outcome in another copyright lawsuit. The judge sided with Meta, offering further support to the social media giant. Conclusion of the case: "Meta did not violate copyright law in training its AI models on original works." https://www.wired.com/story/meta-scores-victory-ai-copyright-case/ #meta #ai #copyrightlaw #aiethics #aimodels #legalwin #lawsuit #federalcourt #artificialintelligence #generativeai

No Code App Builder: Databutton Databutton is an AI app builder that simplifies the deployment process, enabling users to deploy applications to their own domains quickly. It supports deployment to AWS and Google Cloud. The platform caters to both technical and non-technical users, including founders building SaaS products. Databutton is designed for creating prototypes and well-functioning applications. #databutton #nocode #ai #appbuilder #aws #googlecloud #deployment #saas #prototyping #lowcode #streamlit #bubbleio #appsheet #draganddrop #nocodeappdevelopment #serverless https://databutton.com/ https://youtu.be/T1W-GU6btDY