Your front-row seat to the AI agents revolution! Join us as we explore the cutting-edge world of AI agents through in-depth conversations with the pioneers shap...
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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34:18
Agents at Work 6: A front door for AI agents w/ Josh Mayer from Tollbit
In this episode, Jordi Montes interviews Josh Meyer, a founding engineer at Tollbit. Josh discusses the evolution of AI agents, LLMs (Large Language Models), and how tools are being integrated into AI applications.Josh shares insights from his work at Tollbit, a company helping publishers monetize AI systems that scrape their websites. He also explains his project BrowserPassport, which provides authentication and authorization solutions for AI agents. At the end he exposes the main benefits of being in San Francisco when building a startup related to AI.
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55:18
Agents at work 5: browser copilots with Arjun Chintapalli and Bhavani Kalisetty
In this episode, Jordi Montes speaks with Arjun Chintapalli and Bhavani Kalisetty, co-founders of Retriever (https://rtrvr.ai), about the evolution of browser AI copilots. Arjun shares his background in federated learning at Google before founding RTRVR in December. Browser extension approach to AI assistance represents a significant advancement over traditional automation methods. By interpreting DOM representations rather than screenshots, this technology achieves greater speed, accuracy, and reliability compared to vision-based alternatives. The conversation explores how browser-based AI agents can simultaneously work across multiple tabs, extract structured data from websites, and integrate directly with productivity tools. All at a fraction of traditional web scraping costs. The technical advantages of operating within the user's browser environment include bypassing anti-bot systems, utilizing existing user credentials, and maintaining minimal performance overhead. They also discuss their vision for a workflow exchange marketplace where users can share automation recipes.
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49:19
Agents At Work 4: the future of coding with Thorsten Ball
In this episode, Jordi Montes and Thorsten Ball discuss the evolving landscape of AI agents, particularly in the context of Sourcegraph and software development.Thorsten is back to working at Sourcegraph after one year helping to develop the Zed code editor. He is well know in the Golang and software engineering communities as the author of "Writing An Interpreter In Go"and "Writing A Compiler In Go". Sourcegraph accelerates how software gets built, helping developers search, understand, and write code in complex codebases with AI.This conversation explores the definition of AI agents, the integration of AI into Sourcegraph's operations, and the implications of AI on code search and software development practices. The discussion highlights the transformative potential of AI tools, the importance of performance, and the need for developers to adapt to new paradigms in coding and tool usage. They explore the transformative impact of Large Language Models (LLMs) on software development. They discuss how LLMs enhance the developer experience by improving code context management, shifting programming paradigms, and revolutionizing code interaction. This episode also touches on the future of commit messages and documentation, emphasizing the need for tools that adapt to the evolving landscape of coding and AI integration.
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48:22
Agents at Work 3: Aomni With David
In this episode, Jordi Montes and David from Aomni discuss the evolving landscape of AI agents, their definitions, and their implications for software interaction and sales operations. David and his projects went viral multiple times the last one being an open source version of Deep Research. His company, Aomni, enables B2B sales reps save more than 7 hours per week on prospect research.David shares insights on building autonomous agents for revenue teams, the challenges of current software stacks, and the future of AI in enterprise sales. We talk about the role of tool calling in AI development and the potential for integrating coding with AI capabilities. We cannot stress enough importance of not underestimating their capabilities. The dialogue also touches on user interaction, the role of context and memory in AI applications, and the challenges of service discovery and performance evaluation in agent-based systems.
Your front-row seat to the AI agents revolution! Join us as we explore the cutting-edge world of AI agents through in-depth conversations with the pioneers shaping this technology. From breakthrough architectures to practical deployment strategies, we bring you insights from builders, researchers, and innovators who are turning autonomous AI agents from science fiction into reality.
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