Agents at work
Agents at work
Podcast Description
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.
Podcast Insights
Content Themes
The podcast focuses on the integration of AI agents across various sectors including software development, sales operations, and product management. Each episode covers specific case studies and insights, such as exploring the use of Large Language Models in enhancing developer experiences, the challenges of agent deployment in sales, and innovative monitoring tools for AI systems. Episodes emphasize themes like the transformative impact of AI on coding practices and the emerging need for new performance metrics in AI applications.
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.
When generating code becomes 1000x cheaper and code reviews become the bottleneck.
In this episode, Jordi interviews Nimrod , co-founder and CTO of Baz
Baz is a company focused on code review through advanced AI and understanding of code semantics. They discuss the evolution of code analysis tools, the transition from previous ventures, and the importance of context in code reviews. Nimrod shares insights on the use of Abstract Syntax Trees (AST) and how Baz leverages them to enhance code understanding and review processes.
We also talk about his journey at BridgeCrew: from writing static analysis tools for infra-as-code to getting acquired by Palo Alto Networks, scaling to 350+ enterprise customers in 3 months, and the moment things got too enterprisey and it was time to start fresh.
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