What the Dev? is a podcast by the SD Times editorial team. We cover the biggest and newest topics in software and technology.
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308: Why engineering feedback loops fail (and how to avoid that) - with Port's Zohar Einy
In this episode, Jenna interviews Zohar Einy, CEO of Port, about engineering feedback loops.They discuss:The purpose of engineering feedback loopsWhere most organizations go wrongWhat makes feedback actually actionable
307: Value Stream Management is getting a boost from AI (Sponsored by Broadcom)
Thank you to Broadcom for sponsoring this episode. Learn more about their VSM offerings here: https://www.broadcom.com/products/software/value-stream-managementIn this episode, Dave interviews Jean-Louis Vignaud, head of ValueOps at Broadcom, about how VSM and AI are coming together.They discuss:The business implications of using AI in VSMConcerns around data privacy and proprietary information in AIRecapping Broadcom's recent VSM Summit
306: TLS certificate lifespans shortening to 47 days by 2029 (with DigiCert's Dean Coclin)
In this episode, Jenna interviews Dean Coclin, senior director of Industry Strategy at DigiCert, about the recent vote by the CA/Browser Forum to shorten the lifespan of TLS certificates to 47 days by 2029. They discuss:The schedule for the changes and the gradual increments lifespans will shorten byThe rationale behind shortening certificate lifetimesHow to start preparing for changesDigiCert will be hosting a webinar on this topic on May 6 called "Unpacking Certificate Changes: Live Expert Q&A." Register here: https://digicert.registration.goldcast.io/events/2c6c723b-5725-4406-9289-6df8ddd20f93?referrer=https://www.digicert.com/&referrer=https://www.digicert.com/&referrer=https://www.digicert.com/&referrer_page=a28f9ca5-7abf-4ce2-9b6b-571e50e49239
305: Why PostgreSQL became the database of choice for cloud native development (with Neon's Heikki Linnakangas)
In this episode, Dave Rubinstein interviews Heikki Linnakangas, co-founder of Neon, a company that provides Postgres solutions. They discuss: The factors that have contributed to adoption of PostgreSQLWhy PostgreSQL has leapfrogged over MySQL in popularityWhat to expect in PostgreSQL 18
304: The skills developers need in an era of AI development (with AWS' Antje Barth)
In this episode, Jenna Barron interviews Antje Barth, principal developer advocate for generative AI at AWS.They discuss:The skills that are becoming more important as AI adoption increasesThe emergence of the AI engineering roleThe trend of "vibe coding"Resources:Amazon Q Developer
303: How AI agents are transforming how software is built (with GitLab's Emilio Salvador)
In this episode, Jenna Barron speaks with Emilio Salvador, vice president of strategy and developer relations at GitLab, about AI agents in software development. Key talking points include: How AI agents compare to traditional forms of automation in the software development processChallenges teams may face when implementing agentsThe impact AI agents will have on the role of software developers
302: Breaking down the barriers to serverless adoption (with DBOS' Jeremy Edberg)
In this episode, David Rubinstein interviews Jeremy Edberg, CEO of DBOS, about the current state of serverless.They discuss:Why serverless adoption has stagnatedThe complexity of serverless architectureWhat needs to change to increase adoption
301: What's new in Java 24 (with Azul's Simon Ritter)
In this episode, Jenna Barron interviews Simon Ritter, deputy CTO of Azul, about the six features in Java 24 he thinks are most exciting, including faster startup times for Java apps, improvements to the Stream Gatherers API, and more. Learn more about Java 24 here: https://sdtimes.com/java/java-24-is-now-available-with-release-of-stream-gatherers-class-file-apis/
300: The complex world of open source AI (with Red Hat's Stephen Watt)
In this episode, David Rubinstein interviews, Stephen Watt, VP of the Office of the CTO at Red Hat, about open source AI.They discuss: Differences between open source software and open source AIThe difficulty in applying open source principals to AIEfforts made to define open source AI
299: The growing divide between developers and FinOps (with Martin Reynolds from Harness)
In this episode, Jenna Barron interviews Martin Reynolds, field CTO of Harness, about the misalignment between developers and FinOps. The company recently did a report that backed up the claims that developers and FinOps aren't properly aligned, and they talk about some of the findings of that report. Some key points of discussion includeThe fact that over half of developers say their cloud purchasing commitments are based on guessworkThe lack of data on idle cloud resources, unused resource, and over or underprovisioned workloadsProcesses and tools that can help with alignmentHow the adoption of AI has contributed to the problem
298: Building a prompt engineering playground for faster company-wide innovation (with LinkedIn's Lukasz Karolewski and Ajay Prakash)
In this episode, Jenna Barron interviews Lukasz Karolewski, senior staff software engineer at LinkedIn, and Ajay Prakash, staff software engineer at LinkedIn, to talk about how they built a prompt engineering playground at LinkedIn to improve cross-team collaboration with non-technical teams.They discuss:Why they built the playgroundThe choice to use Jupyter notebooksThe work they did to make sure it was accessible to non-technical usersHow it's facilitated faster innovation at the companyThey detailed their work in this blog post here: https://www.linkedin.com/blog/engineering/product-design/building-collaborative-prompt-engineering-playgrounds-using-jupyter-notebook
297: Why a clean codebase is key when using AI-assisted coding tools (with Tabnine's Eran Yahav)
In this episode David Rubinstein interviews Eran Yahav, co-founder and CTO of Tabnine, about why its important to provide AI assistants with clean code.They discuss: The importance of defining organizational rules and best practices to guide the AIHow to use AI-assisted refactoring to improve legacy codebasesIf organizations should apply KonMari principles to their codebases
296: DeepSeek Unpacked: Security, Innovation, and What’s Next
Join SD Times news editor Jenna Barron for a panel discussion on DeepSeek and what developers need to know about this model that has been in the spotlight for the past few weeks. The conversation covers why DeepSeek has gained so much attention, what makes it different from other models, proper data security and hygiene practices for using DeepSeek, and predictions for the future of AI innovation. The speakers include:Melissa Ruzzi, director of AI at AppOmniBratin Saha, chief product and technology officer at DigitalOceanKate O’Neill, author, speaker, and executive consultant on technology’s impact on the human experienceRelated resources from our speakers:Kate’s new book, What Matters Next: A Guide to Making Human-Friendly Tech Decisions - https://www.koinsights.com/books/what-matters-next-book/AppOmni’s webinar on AI security and balancing the risks and benefits of AI - https://appomni.com/webinars/ai-security-balancing-business-and-saas-risks/ AskOmini, a chatbot for SaaS security - https://appomni.com/askomni/ How to Run DeepSeek R1 Large Language Models on DigitalOcean GPU Droplets - https://www.digitalocean.com/community/tutorials/deepseek-r1-gpu-droplets DigitalOcean Deploy 2025 Keynote - https://www.youtube.com/watch?v=phxuIai5cD8
295: How middle code is bridging the gap between low-code and traditional programming (with OpsMill's Damien Garros)
In this episode, David Rubinstein interviews Damien Garros, co-founder and CEO of OpsMill, about middle code, a concept that sits somewhere between programming and low-code/no-code.They discuss:What middle code isThe influence generative AI has had on this technologyHow middle code can be used to accomplish things not possible with low-code or no-code
294: From "shift left" to "shift everywhere" (with OpenText Cybersecurity's Dylan Thomas)
In this episode, we interview Dylan Thomas, senior director of product engineering at OpenText Cybersecurity, about the evolution from shift left to shift everywhere.At the end of 2024, he predicted: "In 2025, DevSecOps will continue evolving beyond the ‘shift-left’ paradigm, embracing a more mature ‘shift everywhere’ approach. This shift calls on organizations to apply the right tools at the right stages of the DevSecOps cycle, improving efficiency and effectiveness in security practices. Lightweight analysis in IDEs will help developers catch issues early, while automation integrated into pull requests and CI/CD pipelines will ensure a cohesive ‘integrate once’ approach for core functions such as SAST, SCA, and increasingly DAST, particularly for API security testing."We interviewed him about his predictions, and talked about: What shift everywhere isWhy people are wanting to transition to this new approachHow to get started with shift everywhere