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se-tech

Is this the real life? Training autonomous cars with simulations

Ben Popper interviews Vladislav Voroninski, CEO of Helm.ai, about unsupervised learning and the future of AI in autonomous driving. They discuss GenAI’s role in bridging the gap between simulation and reality, the challenges of scaling autonomous driving systems, the commercial potential of partial autonomy, and why software is emerging as a key differentiator in vehicle sales. Vlad spotlights the value of multimodal foundation models and how compute shortages affect AI startups.

Rust is evolving from system-level language to UI and frontend development

Ben and Ryan chat with Daniela Miao, cofounder and CTO of Momento, a real-time data platform. They discuss the advantages of real-time observability, the challenges of multi-tenancy in databases and caching, the use of WebAssembly in UI development, and the benefits of Rust. Daniela also shares her experiences working at AWS and a startup focused on observability, which led to the creation of Momento.

Deedy Das: from coding at Meta, to search at Google, to investing with Anthropic

We chat with Deedy Das, a Principal at Menlo Ventures, who began his career as a software engineer at Facebook and Google. He then dipped a toe in the startup world, spending time at the company now know as Glean. More recently he started a career as a venture capitalist, investing in AI and Infra out of the Anthology Fund, a partnership between Menlo Ventures and Anthropic.

He sold his first company for billions. Now he’s building a better developer experience.

Founder and entrepreneur Jyoti Bansal tells Ben, Cassidy, and Eira about the developer challenges he aims to solve with his new venture, Harness, an AI-driven software development platform meant to take the pain out of DevOps. Jyoti shares his journey as a founder, his perspective on the venture capital landscape, and his reasons behind his decision to raise debt capital for Harness.

Detecting errors in AI-generated code

Ben chats with Gias Uddin, an assistant professor at York University in Toronto, where he teaches software engineering, data science, and machine learning. His research focuses on designing intelligent tools for testing, debugging, and summarizing software and AI systems. He recently published a paper about detecting errors in code generated by LLMs. Gias and Ben discuss the concept of hallucinations in AI-generated code, the need for tools to detect and correct those hallucinations, and the potential for AI-powered tools to generate QA tests.

Looking under the hood at the tech stack that powers multimodal AI

Ryan chats with Russ d’Sa, cofounder and CEO of LiveKit, about multimodal AI and the technology that makes it possible. They talk through the tech stack required, including the use of WebRTC and UDP protocols for real-time audio and video streaming. They also explore the big challenges involved in ensuring privacy and security in streaming data, namely end-to-end encryption and obfuscation.

The world’s largest open-source business has plans for enhancing LLMs

Ben and Ryan talk to Scott McCarty, Global Senior Principal Product Manager for Red Hat Enterprise Linux, about the intersection between LLMs (large language models) and open source. They discuss the challenges and benefits of open-source LLMs, the importance of attribution and transparency, and the revolutionary potential for LLM-driven applications. They also explore the role of LLMs in code generation, testing, and documentation.

Mobile Observability: monitoring performance through cracked screens, old batteries, and crappy Wi-Fi

Today we chat with Austin Emmons, an iOS developer at Embrace, where he spent time rebuilding their SDK to work with OpenTelemetry. He discusses the challenge of tracking performance and watching for edge cases when your app is deployed across dozens of devices with enormous variability in their hardware, software, and network capabilities.

Where does Postgres fit in a world of GenAI and vector databases?

Today we chat with Avthar Sewrathan, AI Lead at Timescale, about adapting developers’ favorite database management system, Postgres, to support a range of new technologies involved in the GenAI ecosystem, especially vector databases. Avthar details his long history with Postgres and how clients are weighing the build vs. buy question when it comes to choosing a database to support their newly minted GenAI initiatives.

From PHP to JavaScript to Kubernetes: how one backend engineer evolved over time

On today’s episode, we chat with a listener, Geshan Manandhar, who has been working in the world of software engineering for two decades. He started programming in Kathmandu during the days of dial-up. Since then he’s worked across three continents and today is a senior software engineer at Simply Wall Street. He gives his advice on how developers can change with the times and what it’s like to move into the era of serverless containers.

Battling ticket bots and untangling taxes at the frontiers of e-commerce

On today's episode we chat with Ilya Grigorik, a Distinguished Engineer and Technical Advisor to the CEO at Shopify. From battling hordes of bots trying to scalp seats before humans can get their hands on concert tickets, to automatically handling relevant tax codes and regulations across countries and states so small merchants can focus on their business, Ilya shares some of the projects he enjoys most and the challenges that make e-commerce interesting for software developers.