A challenge in modern frontend application design is efficiently fetching and managing GraphQL data while keeping UI components responsive and maintainable. Developers often face issues like over-fetching, under-fetching, and handling complex query dependencies, which can lead to performance bottlenecks and increased development effort.

Relay is a JavaScript framework developed by Meta for managing GraphQL data in React applications. It’s designed to optimize data fetching by colocating queries with components, ensuring that each part of the UI declares its own data dependencies.

Robert Balicki was on the Relay team at Meta and is now a Staff Software Engineer at Pinterest. He is currently developing Isograph, which provides a declarative and type-safe approach to data fetching.

Robert joins the show to talk about challenges and solutions for managing data in frontend applications.

Gregor Vand is a security-focused technologist, and is the founder and CTO of Mailpass. Previously, Gregor was a CTO across cybersecurity, cyber insurance and general software engineering companies. He has been based in Asia Pacific for almost a decade and can be found via his profile at vand.hk.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Rethinking GraphQL Frontends with Robert Balicki appeared first on Software Engineering Daily.

Traditional package management systems for JavaScript have faced several inefficiencies related to dependency storage, resolution, and project performance.

pnpm is a fast, disk-efficient package manager for JavaScript and TypeScript projects, serving as an alternative to npm and Yarn. Due to its efficiency and reliability, pnpm is increasingly popular for managing monorepos and large-scale applications.

Zoltan Kochan is a full stack web developer and the creator of pnpm. He joins the show with Josh Goldberg to talk about his background and package management in the web.

Josh Goldberg is an independent full time open source developer in the TypeScript ecosystem. He works on projects that help developers write better TypeScript more easily, most notably on typescript-eslint: the tooling that enables ESLint and Prettier to run on TypeScript code. Josh regularly contributes to open source projects in the ecosystem such as ESLint and TypeScript. Josh is a Microsoft MVP for developer technologies and the author of the acclaimed Learning TypeScript (O’Reilly), a cherished resource for any developer seeking to learn TypeScript without any prior experience outside of JavaScript. Josh regularly presents talks and workshops at bootcamps, conferences, and meetups to share knowledge on TypeScript, static analysis, open source, and general frontend and web development.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post pnpm with Zoltan Kochan appeared first on Software Engineering Daily.

Modern application development often involves juggling multiple types of databases to handle diverse data models. The lack of unification can lead to complex architectures with attendant security concerns and fragmented development workflows.

SurrealDB is an open-source, multi-model database developed in Rust and integrates functionalities of many databases including relational, document, graph, time series, search and vector databases. It supports both schema-less and schema-full data models and has a SQL-like query language.

The project has rapidly grown in popularity, and version 3.0 was just released with a focus on enabling AI-powered analysis of unstructured data directly within the database, along with tooling for building event-driven applications.

Tobie Morgan Hitchcock is the CEO and co-founder of SurrealDB. He joins the podcast with Kevin Ball to talk about SurrealDB, handling multi-model data, unstructured data processing, building event driven AI applications, coupling databases with AI models, and more.

Full Disclosure: This episode is sponsored by SurrealDB.

Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post SurrealDB 3.0 and Building Event-Driven AI Applications with Tobie Morgan Hitchcock appeared first on Software Engineering Daily.

Modern web development faces several challenges, particularly when building scalable, maintainable, and high-performance applications. As applications grow, managing complex user interfaces, and ensuring efficient data handling and modular code structures, becomes increasingly difficult.

Angular is a TypeScript-based web framework developed by Google. It’s component-driven and designed for building single-page applications with a strong emphasis on modular architecture and performance optimization. Angular’s scalability, maintainability, and built-in features like modular architecture, TypeScript support, and robust tooling, have made it popular for enterprise applications.

Jessica Janiuk is a Staff Software Engineer at Google where she works on Angular, which just hit version 19 late last year. In this episode, Jessica joins the show with Josh Goldberg to talk about the Angular project.

Josh Goldberg is an independent full time open source developer in the TypeScript ecosystem. He works on projects that help developers write better TypeScript more easily, most notably on typescript-eslint: the tooling that enables ESLint and Prettier to run on TypeScript code. Josh regularly contributes to open source projects in the ecosystem such as ESLint and TypeScript. Josh is a Microsoft MVP for developer technologies and the author of the acclaimed Learning TypeScript (O’Reilly), a cherished resource for any developer seeking to learn TypeScript without any prior experience outside of JavaScript. Josh regularly presents talks and workshops at bootcamps, conferences, and meetups to share knowledge on TypeScript, static analysis, open source, and general frontend and web development.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Angular with Jessica Janiuk appeared first on Software Engineering Daily.

SED News is a monthly podcast from Software Engineering Daily where hosts Gregor Vand and Sean Falconer unpack the biggest stories shaping software engineering, Silicon Valley, and the broader tech industry.

In this episode, they discuss Perplexity’s headline-grabbing offer to buy Google Chrome, the U.S. government’s large stake in Intel, Meta’s abrupt pause on AI hiring, and a reality check on what “agentic” systems can actually deliver today versus the hype.

They also dive into standout discussions from Hacker News, including a proposal to curb “ghost job” postings with stricter transparency rules, an interactive Big-O explainer, and more.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post SED News: Perplexity’s Chrome Play, Meta’s AI Freeze, and Intel Becomes Too Big to Fail appeared first on Software Engineering Daily.

A common challenge in data-rich organizations is that critical context about the data is often hard to capture and even harder to keep up to date. As more people across the organization use data and data models get more complex, simply finding the right dataset can be slow and create bottlenecks.

Select Star is a data discovery and metadata platform that builds a continuously updated knowledge graph of an organization’s data by analyzing both its structure and how it’s actually used. It enriches data with context such as popularity, lineage, and semantic models, making it easier for AI and teams to discover, trust, and use the right data. These enriched metadata layers are also highly valuable for large language models, significantly improving the accuracy of generated SQL queries.

Shinji Kim is the founder and CEO of Select Star, and she joins Sean Falconer to discuss solving metadata curation challenges, managing data context at scale, using LLMs for SQL generation, emerging trends in metadata management, and more.

Full Disclosure: This episode is sponsored by Select Star.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Context-Aware SQL and Metadata with Shinji Kim appeared first on Software Engineering Daily.

Data visualization is increasingly important as organizations prioritize data-driven decision-making. Tools that transform complex datasets into intuitive, interpretable visualizations are arguably just as critical as the data itself.

Robert Kosara is a Data Visualization Developer at Observable which is a platform for creating interactive data visualizations, and which makes extensive use of the popular D3 JavaScript library. Robert previously worked at companies including Salesforce and Tableau, and has deep experience in data visualization and data visualization tools. He joins the show to talk about modern data visualization and his work at Observable.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Modern Data Visualization with Robert Kosara appeared first on Software Engineering Daily.

Werner Vogels is the Chief Technology Officer at Amazon, where he has played a pivotal role in shaping the company’s technology vision for over two decades. Before joining Amazon in 2004, Werner was a research scientist at Cornell University where he focused on distributed systems and scalability, both of which are concepts that would later influence the design of AWS. He holds a PhD in computer science and has authored numerous academic papers on the reliability and performance of large-scale systems.

As CTO, Werner has been instrumental in guiding Amazon’s transition from an online retailer to a global cloud infrastructure provider. He is one of the key architects behind Amazon’s push into cloud computing, helping to define the new model for delivering infrastructure. He is known for his pragmatic, customer-focused approach to technology and for championing ideas such as “you build it, you run it,” “APIs are forever,” and more recently, Frugal Architecting, which emphasizes cost-effective and sustainable software design.

In this episode, Kevin Ball sits down with Werner for a wide-ranging conversation. They discuss the early days of Amazon, the birth of AWS, the principles of the Frugal Architect, aligning cost to the business, engineering-business collaboration, technical debt, and much more.

Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post A Conversation with Amazon CTO Werner Vogels appeared first on Software Engineering Daily.

A key challenge with designing AI agents is that large language models are stateless and have limited context windows. This requires careful engineering to maintain continuity and reliability across sequential LLM interactions. To perform well, agents need fast systems for storing and retrieving short-term conversations, summaries, and long-term facts.

Redis is an open‑source, in‑memory data store widely used for high‑performance caching, analytics, and message brokering. Recent advances have extended Redis’ capabilities to vector search and semantic caching, which has made it an increasingly popular part of the agentic application stack.

Andrew Brookins is a Principal Applied AI Engineer at Redis. He joins the show with Sean Falconer to discuss the challenges of building AI agents, the role of memory in agents, hybrid search versus vector-only search, the concept of world models, and more.

Full Disclosure: This episode is sponsored by Redis.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Redis and AI Agent Memory with Andrew Brookins appeared first on Software Engineering Daily.

Deploying and managing cloud workloads is a complex task that requires developers to handle infrastructure, scaling, CI/CD pipelines, and database hosting. Configuring and maintaining Kubernetes, ensuring smooth deployments, and integrating various services efficiently is a common challenge.

Will Stewart is the co-founder and CEO of Northflank, which is a platform focused on streamlining application deployment and management.

In this episode, he joins the show to talk about the contemporary challenges and solutions around workload deployment.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Complex Workload Deployment with Will Stewart appeared first on Software Engineering Daily.