Building AI Agents on the Frontend with Sam Bhagwat and Abhi Aiyer

Building AI Agents on the Frontend with Sam Bhagwat and Abhi Aiyer

Author: softwareengineeringdaily.com October 30, 2025 Duration: 58:08
Most AI agent frameworks are backend-focused and written in Python, which introduces complexity when building full-stack AI applications with JavaScript or TypeScript frontends. This gap makes it harder for frontend developers to prototype, integrate, and iterate on AI-powered features. Mastra is an open-source TypeScript framework focused on building AI agents and has primitives such as agents, tools, workflows, and RAG. Sam Bhagwat and Abhi Aiyer are co-founders at Mastra. They join the podcast with Nick Nisi to talk about this state of frontend tooling for AI agents, AI agent primitives, MCP integration, and more. Nick Nisi is a conference organizer, speaker, and developer focused on tools across the web ecosystem. He has organized and emceed several conferences and has led NebraskaJS for more than a decade. Nick currently works as a developer experience engineer at WorkOS.   Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com

For anyone curious about how the code running our world actually gets built, Software Engineering Daily offers a clear and consistent look behind the curtain. This isn't about hype cycles or surface-level news; it's a deep, technical conversation with the engineers, architects, and thinkers who are shaping our digital infrastructure. Each episode focuses on a specific technology, practice, or problem, breaking down complex systems into understandable parts. You'll hear detailed discussions on everything from database architectures and programming language design to the organizational challenges of scaling teams and the real-world trade-offs made in production systems. Hosted by softwareengineeringdaily.com, the podcast serves as a reliable source for developers who want to stay informed and inspired, translating the rapid pace of technological change into substantive, lasting knowledge. It’s for professionals who believe that understanding the "how" and "why" is just as important as knowing the "what." By dedicating time to thorough exploration, this podcast provides context that shorter formats simply cannot, making it an essential resource for anyone building the future, one line of code at a time. Tune in to hear unfiltered insights from the people on the front lines, discussing the tools and decisions that define modern software engineering.
Author: Language: en-us Episodes: 100

Software Engineering Daily
Podcast Episodes
AI at Anaconda with Greg Jennings [not-audio_url] [/not-audio_url]

Duration: 49:47
Anaconda is a software company that's well-known for its solutions for managing packages, environments, and security in large-scale data workflows. The company has played a major role in making Python-based data science…
ByteDance’s Container Networking Stack with Chen Tang [not-audio_url] [/not-audio_url]

Duration: 47:57
ByteDance is a global technology company operating a wide range of content platforms around the world, and is best known for creating TikTok. The company operates at a massive scale, which naturally presents challenges i…
WayForward Games with Tomm Hulett and Voldi Way [not-audio_url] [/not-audio_url]

Duration: 46:02
WayForward is a renowned video game studio that was founded in 1990. The company has developed games for publishers such as Capcom, Konami, and Nintendo and has released their games across major hardware platforms from t…
CodeRabbit and RAG for Code Review with Harjot Gill [not-audio_url] [/not-audio_url]

Duration: 48:42
One of the most immediate and high-impact applications of LLMs has been in software development. The models can significantly accelerate code writing, but with that increased velocity comes a greater need for thoughtful,…
TanStack and the Future of Frontend with Tanner Linsley [not-audio_url] [/not-audio_url]

Duration: 55:13
TanStack is an open-source collection of high-performance libraries for JavaScript and TypeScript applications, primarily focused on state management, data fetching, and table utilities. It includes popular libraries lik…
The Challenge of AI Model Evaluations with Ankur Goyal [not-audio_url] [/not-audio_url]

Duration: 45:22
Evaluations are critical for assessing the quality, performance, and effectiveness of software during development. Common evaluation methods include code reviews and automated testing, and can help identify bugs, ensure…
Modern Distributed Applications with Stephan Ewen [not-audio_url] [/not-audio_url]

Duration: 41:20
A major challenge with creating distributed applications is achieving resilience, reliability, and fault tolerance. It can take considerable engineering time to address non-functional concerns like retries, state synchro…