StaffEng

David Noël-Romas (@davidnoelromas) and Alex Kessinger (@voidfiles)

Conversations with software engineers who have progressed beyond the career level, into Staff levels and beyond. We discuss the areas of work that set Staff-plus level engineers apart from other individual contributors; things like setting technical direction, mentorship and sponsorship, providing engineering perspective to the org, etc.Hosted by David Noël-Romas (@davidnoelromas) and Alex Kessinger (@voidfiles).

  1. 4月27日

    StaffEng with Karla Burnett: You're all 100x engineers...now what?

    Karla joins Alex and David from Sydney, where she's been building security-conscious AI workflows at Lorikeet--a customer service automation company where writing code by hand has officially become "artisanal." https://www.lorikeetcx.ai/ https://x.com/tetrakazi

    45分

  2. 4月10日

    A look inside an engineering team @OpenAI with Dylan Vassallo

    Dylan Vassallo is an engineering manager at OpenAI leading the People Innovation Labs team — an eng, product, and design team embedded within the People org, building AI-powered tools for recruiting, HR, internal comms, and the employee experience. In this episode, Dylan talks about what it actually looks like to be an engineering team inside a frontier AI company, how non-engineers are becoming builders, and what the "graduation" process looks like when a prototype needs to become a production system. Links & References https://x.com/dylanvee OpenAI Codex - https://openai.com/codex Lattice - https://lattice.com — performance management platform mentioned Linear - https://linear.app — used for team project tracking Workday - https://workday.com — referenced as system of record

    45分

  3. 3月20日

    How BabyList Accelerated AI Adoption in Engineering with Karynn Ikeda

    Hosts: Alex Kessinger & David Noël-Ramos  Guest: Karynn Ikeda — Former Engineering Manager → AI Enablement Program Manager at Babylist @ktikeda Karynn Ikeda shares the full arc of how Babylist adopted AI across its engineering organization — from a six-week Windsurf pilot on a single team, to company-wide Claude Code adoption and a bold initiative to onboard product managers and designers into the codebase. She discusses leadership buy-in, measuring developer sentiment over raw velocity metrics, the shift toward agent orchestration, and why the return of joy and creative empowerment may be the most important signal of all. Links & References Karynn Ikeda (@ktikeda)Babylist  babylist.comShopify CEO Tobi Lütke's AI Memo (April 2025)  Original post on XAnthropic Code Review for Claude Code  claude.com/blog/code-reviewClaude Code  code.claude.comDevin (AI coding agent by Cognition)  devin.aiCursor  cursor.comWindsurf windsurf.comLovable (vibe coding tool)  lovable.devV0 (by Vercel)  v0.dev

    50分

  4. 3月11日

    I Haven't Opened an IDE Since November — Will Maier

    Will Maier leads growth engineering at Stripe, where he's spent the last five years working across nearly every surface of the product. His background isn't CS — it's the history of science — and he's been through enough industry shifts (racking servers, the cloud transition, DevOps) to know when something really big is happening. Find us now also on YouTube: @StaffEngPodcoast In this season premiere of StaffEng, Will joins Alex and David to talk about what changed for him after November 2025, why he spent the holidays building a Lua distribution from his phone while doing laundry, and how he thinks about the organizational dynamics of AI adoption inside a large engineering org. Topics covered: Why Will hasn't opened an IDE since November — and what replaced itThe psychology of AI adoption: shame, hallucinated PRs, and "AI vegans"Skills as the new packages: how improvised markdown files are changing how teams share leverageWhy measuring token usage (the wrong metric) surfaced the right insightsThe case for making the incident report critic, not the incident report writerWhat the cloud and DevOps transitions teach us about where AI is headed

    47分

  5. 1月20日

    We're back!

    After 3 years, we’re coming out of retirement, because something fundamental broke open in the last few months—something that changes everything about how we work. We Don’t Know How to Learn This Yet AI coding tools promise a 10X—maybe 100X—productivity boost. But here’s what we’re seeing: most engineers don’t know how to learn these tools. The old playbook—read the docs, practice, master—doesn’t work when the tools are fundamentally stochastic and changing weekly. Even worse, there’s nowhere to go for real instruction. Documentation tells you what features exist, not how to think differently about your work. I’ve never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year… - @karpathy Deep Conversations with Practitioners We’re rebooting the Staff Engineer podcast with a specific focus: practitioners using AI to deliver valuable outcomes with specific examples. The Future Isn’t Evenly Distributed Right now, there are deep pockets of breakthrough AI usage everywhere. From engineers, to philosophers. Small teams moving at speeds large organizations can’t match.. These practices exist, but they’re isolated. What We’re Looking For Practitioners over theorists. We’re not interested in abstract conversations about what AI might do. If you’re using AI to deliver outcomes and have specific examples of what worked and what didn’t, we want to talk. Details over declarations. “AI made me 10X more productive” is a headline. “I rewrote my entire workflow around X pattern, which failed until I realized Y, and now I’m shipping features in days that used to take weeks” is the conversation we want. Diverse domains, unified question. We’re starting with staff engineers because that’s our foundation—engineers expected to show great judgment at scale. But we’ll talk to anyone whose work sheds light on our core question: What does good engineering judgment look like when the tools are stochastic, the landscape changes monthly, and the bottleneck shifts from implementation to direction? Our Thesis A fundamental shift is happening in how we work. The engineers authoring this future—not just experiencing it—will have massive advantages. We choose authorship. But we don’t know what that looks like yet. We don’t have the playbook. That’s what we’re building. How to Participate We’re setting this up in two ways: 1. Join Our Listening Sessions Before we start recording episodes, we want to hear from you. We’re organizing Zoom sessions to discuss: What you’re running into with AI in your workThe problems you’re facingThe surprising winsThe bureaucratic barriersThe things you wish someone would talk aboutSign up to join a session 2. Suggest Guests (Including Yourself) Know someone doing interesting work with AI? Are you doing interesting work with AI? We’re looking for: Practitioners (not people selling AI tools)People delivering outcomes, not just observingSpecific examples of what worked and what didn’tWillingness to go deep on the detailsFill out form with your suggestions

    8分

  6. 2021/12/28

    Alex Kessinger (Stitch Fix) and David Noël-Romas (Stripe)

    This episode is a celebration of the journey we have been on as this podcast comes to a close. We have had such a great time bringing you these interviews and we are excited about a new chapter, taking the lessons we have learned forward into different spaces. It's been a lot of work putting this show together, but it has also been such a pleasure doing it. And, as we all know, nothing good lasts forever! So to close the circle in a sense, we decided to host a conversation between the two of us where we interview each other as we have with our guests in the past, talking about mentorship, resources, coding as a leader, and much more! We also get into some of our thoughts on continuous delivery, prioritizing work, our backgrounds in engineering, and how to handle disagreements.  As we enter new phases in our lives, we want to thank everyone for tuning in and supporting us and we hope to reconnect with you all in the future! Links David Noël-Romas on TwitterAlex Kessinger on TwitterStitch FixStripeJavaScript: The Good PartsDouglas CrockfordMonkeybrainsKill It With FireTrillion Dollar CoachMartha AcostaEtsy Debriefing Facilitation GuideHigh Output Management How to Win Friends & Influence PeopleInfluence

    1時間8分

  7. 2021/12/14

    Peter Stout (Netflix)

    The structures of an organization can often be self-reinforcing, and in a changing environment, this becomes a recipe for future vulnerabilities. That is why senior ICs need to play a slightly discordant role at times by alerting teams to issues conventionally outside of their bubble of concern. Peter Stout is a Technical Director at Netflix where he has a cross-functional role at the juncture of business and technology. He joins us on the show today to share some of the finer details around what inhabiting this position in the above manner looks like. We start by hearing Peter describe himself as a generalist, and share how this played out in the broad focus of his college degree as well as in his career pivot from Chemistry into Software Engineering. We discuss the rapid growth of the engineering team at Netflix, how this has led to less tightly-defined roles for junior and senior engineers, and how this factors into the way Peter approaches his place in the organization. Peter talks about the shift he made from technician to technical director and how much of the skills he learned from the former position he brings into the latter. He talks about his tendency to seek out the blank spots in the organization and how he tries to focus on a long-term vision, using that to guide him as he connects the dots between teams and influences decision making. Here Peter considers his role as a disruptor and how he gauges how much pressure to apply while still staying largely in sync. We also have a great conversation about Peter’s approach to mentorship and his philosophy around how he grew into the leadership position he occupies. Tune in today! Links Peter Stout on LinkedInNetflixRangeThe Leadership Pipeline

    52分

  8. 2021/11/30

    James Cowling (Convex)

    Often the biggest impacts a Staff Engineer can make in their organization are not technical but rather people-related. When teams are value-aligned due to good leadership, they go on to make larger impacts than they would otherwise have. As Senior Principal Engineer at Dropbox for almost a decade, James Cowling learned a lot about how people think and work together, and he joins us today to share some of his insights. Joining this conversation, listeners will hear about James’ experience at the helm of numerous high stakes projects at Dropbox, such as migrating the company off Amazon S3 by building their own distributed storage system. For James, the main job of a tech lead is getting their team to have a firm grasp of the why behind a project, and to become completely values-aligned as a result. James takes us through his approach to diagnosing struggles within teams and how he helps groups to step back and course correct by drilling down on their purpose within the larger organization. We talk about the strong culture that gets built as a result of this approach and the power it has to keep teams robust. In today’s conversation, James also gets into how Staff Engineers themselves can stay in tune with the larger company, the single most important quality to nurture in Software Engineers who hope to grow into leadership positions, and a whole lot more. Links James Cowling on LinkedInJames Cowling on TwitterConvexDropbox'Stepping Stones not Milestones'

    48分
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番組について

Conversations with software engineers who have progressed beyond the career level, into Staff levels and beyond. We discuss the areas of work that set Staff-plus level engineers apart from other individual contributors; things like setting technical direction, mentorship and sponsorship, providing engineering perspective to the org, etc.Hosted by David Noël-Romas (@davidnoelromas) and Alex Kessinger (@voidfiles).

情報

  • クリエイター
    David Noël-Romas (@davidnoelromas) and Alex Kessinger (@voidfiles)
  • 配信期間
    21年 - 26年
  • エピソード
    27
  • 制限指定
    不適切な内容を含まない
  • Copyright
    © 2026 StaffEng
  • 番組のWebサイト
    StaffEng

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