Estafette
Compose Login
You are browsing eu.zone1 in read-only mode. Log in to participate.
rss-bridge 2025-10-30T09:00:11+00:00

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

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
The post Building AI Agents on the Frontend with Sam Bhagwat and Abhi Aiyer appeared first on Software Engineering Daily.

---

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

[Image: SEDaily]

By SEDaily

Podcast
Thursday, October 30 2025

Podcast: Play in new window | Download

Subscribe: RSS

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.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

[Image: SEDaily]

SEDaily

#### Sponsors

This episode is brought to you by Augment Code.

You’re a professional software engineer—vibes won’t cut it.

Augment Code is the only AI assistant built for real engineering teams. It ingests your entire repo—millions of lines, tens of thousands of files—so every suggestion lands in context and keeps you in flow.

Where other tools stall, Augment Code sprints. Unlike vibe coding tools, Augment Code is built for shipping to production. And you don’t have to switch tooling: keep using VS Code, JetBrains, Android Studio, or even Vim.

Don’t hire an AI for vibes—get the agent that knows you and your codebase best.

Start your free trial at AugmentCode.com

Building agentic AI apps isn’t just about choosing the best LLM.

Agents need short‑term memory, long‑term recall, and lightning‑fast retrieval. Without it, you’re left with clunky prototypes that never scale.

You know, Redis? The world’s fastest caching solution?

It turns out fast data is the key to good context. And good context is essential for fast, accurate memory. It’s what makes AI agents actually work with your data.

Redis for AI. The right infrastructure. The right tools. The only way to scale.

Have you tried building a text-to-SQL chatbot?

If your AI agents don’t understand your data – its definitions, queries, and lineage – they’re forced to guess. And bad guesses mean risky assumptions.

That’s where Select Star comes in.

Select Star automatically builds an always-up-to-date knowledge graph of your data – capturing metadata like lineage, usage, and example queries. So whether you’re training an AI model or deploying an agent, your AI can answer with facts, not assumptions.

- Twitter

POPULAR

- Amazon’s IDE for Spec-Driven Development with David Yanacek 67 views

- Gas Town, Beads, and the Rise of Agentic Development with Steve Yegge 43 views

- Inside China’s Great Firewall with Jackson Sippe 15 views

- Why We Switched from Python to Go 15 views

- Elegant Puzzle with Will Larson 13 views

#### Software Daily

[Image: Software Daily]

Subscribe to Software Daily, a curated newsletter featuring the best and newest from the software engineering community.

Exclusive Articles

VMware Tanzu GemFire and Next-Generation Real-Time Application Development

Uber’s LedgerStore and its Trillions of Indexes with Kaushik Devarajaiah

GraphQL vs. REST: What Are They, and Which Is Better for You?

Cloud Engineering

CodeRabbit and RAG for Code Review with Harjot Gill

Building Chess.com with Jay Severson

Mastodon with Eugen Rochko

Business and Philosophy

Startup Investing with George Mathew

KubeCon Special: Docker with Justin Cormack

Software Architecture with Josh Prismon

Greatest Hits

Hardening C++ with Bjarne Stroustrup

Surviving ChatGPT with Christian Hubicki

Special Episode with George Hotz

Hackers

Making React 70% faster with Aiden Bai of Million.js

Cross-functional Incident Management with Ashley Sawatsky and Niall Murphy

SDKs for your API with Sagar Batchu

Data

Hyperscaling SQL with Sam Lambert

Spring AI and Java in 2024

Iceberg at Netflix and Beyond with Ryan Blue

---

[Original source](https://softwareengineeringdaily.com/2025/10/30/building-ai-agents-on-the-frontend-with-sam-bhagwat-and-abhi-aiyer/?utm_source=rss&utm_medium=rss&utm_campaign=building-ai-agents-on-the-frontend-with-sam-bhagwat-and-abhi-aiyer)

Reply