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 like TanStack Query, TanStack Table, and TanStack Router. These libraries emphasize declarative APIs, optimized performance, and developer-friendly features, and they are increasingly popular for modern frontend development.

Tanner Linsley is the creator of TanStack and he joins the podcast with Nick Nisi to talk about the project, SSG, type safety, the TanStack Start full-stack React framework, and much 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.

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Sponsorship inquiries: [email protected]

The post TanStack and the Future of Frontend with Tanner Linsley appeared first on Software Engineering Daily.

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 compliance with requirements, and measure software reliability.

However, evaluating LLMs presents unique challenges due to their complexity, versatility, and potential for unpredictable behavior.

Ankur Goyal is the CEO and Founder of Braintrust Data, which provides an end-to-end platform for AI application development, and has a focus on making LLM development robust and iterative. Ankur previously founded Impira which was acquired by Figma, and he later ran the AI team at Figma. Ankur joins the show to talk about Braintrust and the unique challenges of developing evaluations in a non-deterministic context.

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 The Challenge of AI Model Evaluations with Ankur Goyal appeared first on Software Engineering Daily.

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 synchronization, and distributed coordination. Event-driven models aim to simplify these issues, but often introduce new difficulties in debugging and operations.

Stephan Ewen is the Founder at Restate which aims to simplify modern distributed applications. He is also the co-creator of Apache Flink which is an open-source framework for unified stream-processing and batch-processing.

Stephan joins the show with Sean Falconer to talk about distributed applications and his work with Restate.

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 Distributed Applications with Stephan Ewen appeared first on Software Engineering Daily.

Agentic AI is seen as a key frontier in artificial intelligence, enabling systems to autonomously act, adapt in real-time, and solve complex, multi-step problems based on objectives and context. Unlike traditional rule-based or generative AI, which are limited to predefined or reactive tasks, agentic AI processes vast information, models uncertainty, and makes context-sensitive decisions, mimicking human-like problem-solving.

Crew AI is a platform to build and deploy automated workflows using any LLM and cloud platform. The company has rapidly become one of the most prominent in the field of agentic AI. João Moura is the founder at Crew AI and he joins the show with Sean Falconer to talk about his company.

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 Crew AI with João Moura appeared first on Software Engineering Daily.

Synopsys is a leading electronic design automation company specializing in silicon design and verification, as well as software integrity and security. Their tools are foundational to the creation of modern chips and embedded software, powering everything from smartphones to cars.

Chip design is a deeply complex process, often taking months or years and requiring the coordination of thousands of engineers. Now, advances in AI are beginning to transform the field by reducing manual effort, accelerating timelines, and unlocking new design possibilities.

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 Chip Design in the AI Era with Thomas Andersen appeared first on Software Engineering Daily.

OpenTofu is an open-source alternative to Terraform, designed for managing infrastructure as code. It enables users to define, provision, and manage their cloud and on-premises resources using a declarative configuration language. OpenTofu was created to ensure an open and community-driven approach to infrastructure tooling, and it emphasizes compatibility and extensibility for diverse deployment scenarios.

Cory O’Daniel is the CEO of Massdriver and he’s a founding member of OpenTofu. Malcolm Matalka is a Co-Founder at Terrateam and he’s also a founding member of OpenTofu. They join the podcast to talk about the OpenTofu project.

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 OpenTofu with Cory O’Daniel and Malcolm Matalka appeared first on Software Engineering Daily.

Python is the dominant language for AI and data science applications, but it lacks the performance and low-level control needed to fully leverage GPU hardware. As a result, developers often rely on NVIDIA’s CUDA framework, which adds complexity and fragments the development stack.

Mojo is a new programming language designed to combine the simplicity of Python with the performance of C and the safety of Rust. It also aims to provide a vendor-independent approach to GPU programming. Mojo is being developed by Chris Lattner, a renowned systems engineer known for his seminal contributions to computer science, including LLVM, the Clang compiler, and the Swift programming language.

Chris is the CEO and Co-Founder of Modular AI, the company behind Mojo. In this episode, he joins the show to discuss his engineering journey and his current work on AI infrastructure and the Mojo language.

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 Mojo and Building a CUDA Replacement with Chris Lattner appeared first on Software Engineering Daily.

PostgreSQL is an open-source database known for its robustness, extensibility, and compliance with SQL standards. Its ability to handle complex queries and maintain high data integrity has made it a top choice for both start-ups and large enterprises.

Heikki Linnakangas is a leading developer for the PostgreSQL project, and he’s a co-founder at Neon, which provides a serverless platform for spinning up Postgres databases. In this episode, he joins Kevin Ball to talk about why PostgreSQL has become so popular, why he founded Neon, Postgres Core vs. Extensions, the pgvector similarity search for AI applications, and much more.

Full Disclosure: This episode is sponsored by Neon.

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 Building PostgreSQL for the Future with Heikki Linnakangas appeared first on Software Engineering Daily.

Cryptocurrency exchanges face unique security challenges that require specialized threat assessments and planning.

Coinbase is a cryptocurrency exchange based in the United States. It was founded in 2012 and has evolved alongside cryptocurrency as a technology.

Philip Martin is the Chief Security Officer at Coinbase. Prior to Coinbase, Philip built and led the Incident Response and Security Engineering teams at Palantir and was a US Army counterintelligence agent and Arabic linguist.

In this episode, Philip joins the podcast with Gregor Vand to talk about his career and security at Coinbase.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

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The Model Context Protocol, or MCP, is a new open standard that connects AI assistants to arbitrary data sources and tools, such as codebases, APIs, and content repositories. Instead of building bespoke integrations for each system, developers can use MCP to establish secure, scalable connections between AI models and the data they need. By standardizing this connection layer, MCP enables models to access relevant information in real time, leading to more accurate and context-aware responses.

David Soria Parra is a Member of the Technical Staff at Anthropic, where he co-created the Model Context Protocol. He joins the podcast to talk about his career and the future of context-aware AI.

Jordi Mon Companys is a product manager and marketer that specializes in software delivery, developer experience, cloud native and open source. He has developed his career at companies like GitLab, Weaveworks, Harness and other platform and devtool providers. His interests range from software supply chain security to open source innovation. You can reach out to him on Twitter at @jordimonpmm

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Anthropic and the Model Context Protocol with David Soria Parra appeared first on Software Engineering Daily.