Welcome to the pilot episode of SED News, a new podcast series from Software Engineering Daily. Join hosts Gregor Van and Sean Falconer as they break down the week’s most important stories in software engineering, machine learning, and developer culture.

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.

Sponsorship inquiries: [email protected]

The post SED News: CoreWeave IPO, Anthropic’s MCP, and Microsoft Turns 50 appeared first on Software Engineering Daily.

AI tools are transforming how developers write code, and although it’s difficult to pinpoint how much code is now AI-generated code, estimates suggest it’s between 20% and 40%, and this figure is poised to grow in the coming years. This evolution has given rise to a new coding paradigm in which developers act as directors, guiding and refining AI-generated solutions rather than manually writing every line of code.

This approach was recently termed “vibe coding” by Andrej Karpathy, and it shifts the programmer’s role from detailed coding to overseeing and enhancing AI-produced code. It emphasizes collaborative interaction with AI, blending human creativity with machine efficiency to solve complex problems.

Vish Abrams is the Chief Architect at Heroku and previously worked at Oracle and NASA, among other organizations. In this episode, Vish joins the show with Kevin Ball for a wide-ranging conversation about the state of AI-based tools, whether there are limits to vibe coding, AI tools for individuals vs. AI tools for teams, the Model Context Protocol, Heroku’s managed inference service, and much more.

Full Disclosure: This episode is sponsored by Salesforce (Heroku).

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]

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Glean is a workplace search and knowledge discovery company that helps organizations find and access information across various internal tools and data sources. Their platform uses AI to provide personalized search results to assist members of an organization in retrieving relevant documents, emails, and conversations. The rise of LLM-based agentic reasoning systems now presents new opportunities to build advanced functionality using an organization’s internal data.

Eddie Zhou is a founding engineer at Glean and previously worked at Google. He joined Sean Falconer to discuss the engineering and design considerations around building agentic tooling to enhance productivity and decision-making.

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 Agentic AI at Glean with Eddie Zhou appeared first on Software Engineering Daily.

Martin Hellman is an American cryptographer known for co-inventing public-key cryptography with Whitfield Diffie and Ralph Merkle in the 1970s. Their groundbreaking Diffie-Hellman key exchange method allowed secure communication over insecure channels, laying the foundation for modern encryption protocols. Hellman has also contributed to cybersecurity policy and ethical discussions on nuclear risk. His work has had a lasting impact on cryptography, internet security, and global information protection.

Martin received the 2015 Turing Award together with Whitfield Diffie “for inventing and promulgating both asymmetric public-key cryptography, including its application to digital signatures, and a practical cryptographic key-exchange method. “

In this episode he joins Gregor Vand to talk about his life and career. You can also find a free copy of Martin and Dorothie Hellman’s book in PDF format here.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Turing Award Special: A Conversation with Martin Hellman appeared first on Software Engineering Daily.

Modern cloud-native systems are highly dynamic and distributed, which makes it difficult to monitor cloud infrastructure using traditional tools designed for static environments. This has motivated the development and widespread adoption of dedicated observability platforms.

Prometheus is an open-source observability tool designed for cloud-native environments. Its strong integration with Kubernetes and pull-based data collection model have driven its popularization in DevOps. However, a common challenge with Prometheus is that it struggles with large data volumes and has limited cost-optimization capabilities. This raises the question of how best to handle Prometheus deployments at large scale.

Eric Schabell works in DevRel at Chronosphere where he’s the Director of Community and Developer. He is also a CNCF Ambassador. Eric joins the show with Kevin Ball to talk about metrics collection, time series data, managing Prometheus at scale, tradeoffs between self-hosted vs. managed observability, and more.

Full Disclosure: This episode is sponsored by Chronosphere.

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 Prometheus and Open-Source Observability with Eric Schabell appeared first on Software Engineering Daily.

David A. Patterson is a pioneering computer scientist known for his contributions to computer architecture, particularly as a co-developer of Reduced Instruction Set Computing, or RISC, which revolutionized processor design. He has co-authored multiple books, including the highly influential Computer Architecture: A Quantitative Approach.

David is a UC Berkeley Pardee professor emeritus, a Google distinguished engineer since 2016, the RIOS Laboratory Director, and the RISC-V International Vice-Chair.

He received the 2017 Turing Award together with John L. Hennessy “for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry.”

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: [email protected]

The post Turing Award Special: A Conversation with David Patterson appeared first on Software Engineering Daily.

At Uber, there are many platform teams supporting engineers across the company, and maintaining robust on-call operations is crucial to keeping services functioning smoothly. The prospect of enhancing the efficiency of these engineering teams motivated Uber to create Genie, which is an AI-powered on-call copilot. Genie assists with on-call management by providing real-time responses to queries, streamlining incident resolution, and facilitating team collaboration.

Paarth Chothani is a Staff Software Engineer on the Uber AI Gen AI team. Eduards Sidorovics is a Senior Software Engineer on the Uber AI Platform team. In this episode they join the show with Sean Falconer to talk about the challenges that motivated the creation of Uber Genie, the architecture of Genie, 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 Uber’s On-Call Copilot with Paarth Chothani and Eduards Sidorovics appeared first on Software Engineering Daily.

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.

John received the 2017 Turing Award “for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry.”

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: [email protected]

The post Turing Award Special: A Conversation with John Hennessy appeared first on Software Engineering Daily.

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: [email protected]

The post Sourcegraph and the Frontier of AI in Software Engineering with Beyang Liu appeared first on Software Engineering Daily.

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: [email protected]

The post Turing Award Special: A Conversation with Jeffrey Ullman appeared first on Software Engineering Daily.