Agents at work 11: Running AI Generated code w/ Tereza from E2B
In this conversation, Jordi Montes and Tereza Tizkova dive deep into the challenges and opportunities around running AI-generated code safely and efficiently. Tereza explains how their E2B provides essential cloud sandbox infrastructure designed specifically for AI agents.The discussion explores why AI-generated code must be executed in secure, isolated environments and how E2B’s solution leverages micro virtual machines (micro VMs) to offer enhanced security, scalability, and speed. She highlights real-world applications like web app generation, deep research, data analysis, and computer-use agents,.They also address critical questions about open-source strategy, evolving LLM capabilities, industry benchmarks, and the exciting growth of AI agents in production settings.00:00 Introduction to E2B and AI Agents03:10 The Infrastructure Behind AI Agents05:48 The Evolution of E2B and Its Market Impact09:00 Customer Insights and Use Cases12:01 The Future of AI Agents and E2B's Role14:52 Open Source and Community Engagement18:02 Challenges and Opportunities in AI Development21:06 The Role of Data in AI Agents23:48 Exciting Developments and Future Directions27:13 Getting Started with E2B33:01 AI Hackathon in Prague: A New Era for Europe34:11 The European AI Landscape: Challenges and Opportunities35:44 Innovative Projects: Surprising Uses of E2B37:03 Understanding LLMs: Code Generation and Reasoning39:00 Versioning and Iteration: Enhancing Code Execution41:04 The Future of AI Infrastructure: Pricing and Data Insights45:32 The Evolution of AI Agents: What Lies Ahead51:00 Defining AI Agents: Capabilities and Future Trends
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Agents at work 10: Tinkering is all you need w/ Sully Omar from Otto
In this episode, Jordi Montes and Sully Omar discuss the evolution of AI agents, emphasizing the importance of hands-on tinkering in understanding and developing these technologies. They explore the definition of AI agents, the future of their simplification and intelligence, and the implications of frameworks like MCP for AI interactions. The conversation also touches on the role of payment systems in AI, the paradigm shift in agent functionality, and the categorization of AI models through a structured framework. In this conversation, Sully discusses the tiered structure of AI models, emphasizing the importance of evaluating new models based on their performance and use cases. He shares insights on integrating AI into business products, particularly through innovative workflows that leverage spreadsheets.
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Agents at Work 9: AI Agents from First Principles w/ Johno Whitaker from Answer.AI
In this episode, Jordi Montes and Johno Whitaker (https://answer.ai) discuss the evolving landscape of AI agents, exploring definitions, the impact of generative AI, and how AI development is becoming more accessible. Answer.AI is a new kind of AI R&D lab which creates practical end-user products based on foundational research breakthroughs. You can think about it as Xerox Labs for the AI era.They delve into notebook-driven development, integration of AI in software workflows, and debate whether the future will feature powerful single models or cooperative networks of smaller agents. The conversation emphasizes empowering users through thoughtful interaction design and innovative frameworks like LLMs.txt and FastHTML, highlighting AI's potential to enhance human creativity and cautioning against over-reliance on automation.
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Agents at Work 8: building real AI agents at IBM w/ Roy Derks
In this conversation, Jordi Montes and Roy Derks discuss the evolution of AI agents, the role of IBM in the AI landscape, and the capabilities of the WatsonX platform. Roy explores the concept of agents in AI, industry adoption of AI technologies, and the balance between legal and engineering perspectives in large organizations. He also shares his journey from startups to IBM, highlighting the changes in development tools and the significance of GraphQL in AI integration. The discussion concludes with insights on the future of data access through MCP and the importance of making data easily accessible.
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Agents at work 7: 10x development for engineering teams w/ Aiswarya Sankar from Entelligence
In this episode of Agents at Work, Jordi Montes interviews Aiswarya from Entelligence, a company building AI engineering agents to help large engineering teams reduce overhead and focus on product development. Aiswarya explains how Entelligence's tools assist with code reviews, documentation, and team coordination. She explains how their AI agents can catch issues in code, keep documentation continuously updated, and provide insights for managers about team productivity. She shares insights about the limitations of current AI coding models and how their product complements code generation tools by serving as an "auditor" that catches potential bugs and enforces best practices. The discussion highlights how AI tools are transforming engineering team dynamics, making information more transparent across organizations, and changing how engineering performance is measured in the age of AI-assisted coding.
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