John Hennessy is a computer scientist, entrepreneur, and academic known for his significant contributions to computer architecture. He co-developed the RISC architecture, which revolutionized modern computing by enabling faster and more efficient processors. Hennessy served as the president of Stanford University from 2000 to 2016 and later co-founded MIPS Computer Systems and Atheros Communications. Currently, he serves on the board of the Gordon and Betty Moore Foundation, and is chair of the board of Alphabet.

In this episode he joins Kevin Ball to talk about his life and career.

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.

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Sourcegraph is a powerful code search and intelligence tool that helps developers navigate and understand large codebases efficiently. It provides advanced search functionality across multiple repositories, making it easier to find references, functions, and dependencies. Additionally, Sourcegraph integrates with various development workflows to streamline code reviews and collaboration across teams.

Beyang Liu is the CTO and Co-Founder at Sourcegraph, where he has worked for the past twelve years. In this episode he joins the show with Sean Falconer to talk about the frontier of leveraging AI in software engineering.

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: sponsor@softwareengineeringdaily.com

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Jeffrey Ullman is a renowned computer scientist and professor emeritus at Stanford University, celebrated for his groundbreaking contributions to database systems, compilers, and algorithms. He co-authored influential texts like Principles of Database Systems and Compilers: Principles, Techniques, and Tools (often called the “Dragon Book”), which have shaped generations of computer science students.

In this episode he joins Kevin Ball to talk about his life and career.

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: sponsor@softwareengineeringdaily.com

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Contextual memory in AI is a major challenge because current models struggle to retain and recall relevant information over time. While humans can build long-term semantic relationships, AI systems often rely on fixed context windows, leading to loss of important past interactions.

Zep is a startup that’s developing a memory layer for AI agents using temporal Knowledge Graphs, enabling agents to retain long-term contextual information. It was founded in 2023 and was part of the Y Combinator batch of Winter 2024.

Daniel Chalef is the Founder of Zep. He joins the show with Kevin Ball to talk about the challenge of contextual memory in AI, temporal knowledge graphs, ambient AI agents, and more.

Be sure to check out Graphiti on GitHub and read the Zep White Paper on arXiv.

Full Disclosure: This episode is sponsored by Zep.

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: sponsor@softwareengineeringdaily.com

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Ryan Florence is a co-creator of React Remix and in this episode he speaks with Josh Goldberg about the Remix 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.

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Jack Dongarra is an American computer scientist who is celebrated for his pioneering contributions to numerical algorithms and high-performance computing. He developed essential software libraries like LINPACK and LAPACK, which are widely used for solving linear algebra problems on advanced computing systems. Dongarra is also a co-creator of the TOP500 list, which ranks the world’s most powerful supercomputers. His work has profoundly impacted computational science, enabling advancements across numerous research domains.

Jack received the 2021 Turing Award “for pioneering contributions to numerical algorithms and libraries that enabled high performance computational software to keep pace with exponential hardware improvements for over four decades.”

He joins the podcast with Sean Falconer to talk about his life and career.

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: sponsor@softwareengineeringdaily.com

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Rigetti Computing is an American company specializing in quantum computing, founded in 2013. The company develops quantum processors and hybrid quantum-classical computing systems, and aims to make quantum computing more accessible for research and commercial applications.

David Rivas is the CTO at Rigetti Computing. He joins the podcast with Kevin Ball to talk about the company, the fundamentals of quantum computing, the state of the technology, and where we’re headed.

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: sponsor@softwareengineeringdaily.com

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Ethereum is a decentralized blockchain platform that was created by Vitalik Buterin and Gavin Wood in 2015. It uses a cryptocurrency called Ether as its native token to power transactions and operations on the Ethereum network. Ethereum’s proponents envision a future where the network forms the foundation for a second platform layer, called L2, where decentralized applications are run.

As we approach the 10th anniversary of Ethereum’s creation we wanted to understand the state of the technology so we spoke with Andrew Koller who is an engineer at Kraken, which is a software company and popular cryptocurrency exchange. In this conversation Andrew talks about Kraken, security considerations at an exchange, the history of Ethereum, L2, and the future of Ethereum.

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: sponsor@softwareengineeringdaily.com

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APIs are a fundamental part of modern software systems and enable communication between services, applications, and third-party integrations. However, their openness and accessibility also make them a prime target for security threats, and this makes APIs a growing focus on software teams.

Scott Gerlach is the Co-Founder and Chief Security Officer at StackHawk and previously worked at SendGrid and GoDaddy. He has an extensive background running security operations and engineering and, in this episode, he joins the show to talk about the challenges around API security and leading-edge strategies to address them.

Full Disclosure: This episode is sponsored by 10kMedia (StackHawk).

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: sponsor@softwareengineeringdaily.com

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NVIDIA RAPIDS is an open-source suite of GPU-accelerated data science and AI libraries. It leverages CUDA and significantly enhances the performance of core Python frameworks including Polars, pandas, scikit-learn and NetworkX.

Chris Deotte is a Senior Data Scientist at NVIDIA and Jean-Francois Puget is the Director and a Distinguished Engineer at NVIDIA. Chris and Jean-Francois are also Kaggle Grandmasters, which is the highest rank a data scientist or machine learning practitioner can achieve on Kaggle, a competitive platform for data science challenges.

In this episode, they join the podcast with Sean Falconer to talk about Kaggle, GPU-acceleration for data science applications, where they’ve achieved the biggest performance gains, the unexpected challenges with tabular data, and much 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: sponsor@softwareengineeringdaily.com

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