Podcasts about software engineers

In this episode, you'll meet Mariena Quintanilla, a Los Angeles-based career flipper who proves you can pivot, even within the same industry.After spending nearly two decades in tech, moving through roles in software engineering, product management, solutions architecture, and customer experience (plus navigating a layoff), Mariena had a realization: she didn't want to keep climbing the corporate ladder but she still loved tech.So, she made the leap. Today, Mariena runs Mellonhead.co, an AI education and consulting company helping others make sense of emerging technology.In our conversation, we talk about:The inner work that happens before, during, and after a big leapBuilding a financial safety net and jumping anywayThe identity shifts that come with walking away from a titleWhy knowing who you are matters more than knowing where you're goingMariena doesn't sugarcoat the messy middle. She shares what it really felt like to start over, the fears she faced, and the courage it took to rebuild on her own terms.Connect with MarienaLinkedIn: https://www.linkedin.com/in/mariena/Website: https://mellonhead.co/ Thanks for listening to The Career Flipper!If you enjoyed this episode, let's spread the word! Share it with a friend, subscribe, and leave a review—it helps other career flippers find the show.Let's Stay Connected:Join the community: thecareerflipper.comTikTok: @thecareerflipperInstagram: @thecareerflipperpodGot a career flip story? I'd love to hear it—and maybe even have you on the podcast! Whether you've completed your flip, are just starting, or are in the thick of it, submit your story here: https://www.thecareerflipper.com Want to support the show?Looking for a speaker? I'd love to talk about career changes at your next event.Collaborate through sponsorships or affiliates! Let's work together.Email me: hello@thecareerflipper.comCheck Out My Customer Service CoursesBefore my career flip, I led customer experience teams and created online courses that have helped over 12,000 students worldwide. Whether you're switching to customer service or sharpening your skills to run your own business, these courses are packed with practical tips. Learn more at thecareerflipper.com/courses.Other Ways to Get Involved:Buy me a coffee!Explore my furniture flipsMusic CreditsSeason 1: Intro and outro music by audionautix.com. Season 2: Intro and outro original music by Jenny Dempsey, recorded in a home studio.What's the best that could happen?

Metaの開発者生産性向上の取り組みと、コード変更の所要時間を14％（年間150億円）も削減した型付きモックフレームワークについて取り上げました。Meta Tech Podcast関連エピソードhttps://insidefacebookmobile.libsyn.com/67-measuring-developer-productivity-with-diff-authoring-timehttps://insidefacebookmobile.libsyn.com/69-to-type-or-not-to-type-measuring-productivity-impact-with-datep161. Metaをレイオフされたはなし https://open.spotify.com/episode/70ZKoPEkO1DpSf1Ox3NQeo感想をぜひハッシュタグ #todayILearnedFM #tilfm でつぶやいてください!Your co-hosts:Tomoaki Imai, Noxx CTO  https://twitter.com/tomoaki_imaiRyoichi Kato, Software Engineer ⁠https://twitter.com/ryo1kato

Meta Platforms is unlikely to alter its “pay-or-consent” model further, which could lead to new EU antitrust charges, Goldman Sachs is integrating an autonomous AI software engineer named Devin, and a new study found that using AI coding assistants actually slowed down developers by 19%. MP3 Please SUBSCRIBE HERE for free or get DTNS LiveContinue reading "Goldman Sachs Is Integrating An Autonomous AI Software Engineer Named Devin – DTH"

In a recent episode of The New Stack Agents livestream, Antje Barth, AWS Developer Advocate for Generative AI, discussed the growing developer interest in building agentic and multi-agent systems. While foundational model knowledge is now common, Barth noted that developers are increasingly focused on tools, frameworks, and protocols for scaling agent-based applications. She emphasized the complexity of deploying such systems, particularly around navigating human-centric interfaces and minimizing latency in multi-agent communication.Barth highlighted AWS's support for developers through tools like Amazon Q CLI and the newly launched open-source Strands SDK, which AWS used internally to accelerate development cycles. Strands enables faster, flexible agentic system development, while services like Bedrock Agents offer a managed, enterprise-ready solution.Security was another key theme. Barth stressed that safety must be a “day one” priority, with built-in support for authentication, secure communication, and observability. She encouraged developers to leverage AWS's GenAI Innovation Center and active open-source communities to build robust, scalable, and secure agentic systems.Learn more from The New Stack about AWS' support for developers through tools that support multiple agents: Code in Your Native Tongue: Amazon Q Developer Goes Global AWS Launches Its Take on an Open Source AI Agents SDKAmazon's Bedrock Can Now 'Check' AI for Hallucinations Join our community of newsletter subscribers to stay on top of the news and at the top of your game.     

Uma Subramanian is the Founder and CEO of Limitless Leaders, a personalized mentoring program for individuals willing to overcome their career plateau.Listen to Uma talk about her perspective on developer relations after doing it for over 20 years at Microsoft, what are the signs of a career plateau, how to overcome professional struggles with the help of mentors, how to build a circle of trust, and much more. Hosted by Perry Tiu.Episode Links:• Limitless Leaders: https://thelimitlessleaders.com• Uma's LinkedIn: https://www.linkedin.com/in/uma-subramanian-limitless—Interested being on the show? contact@perrytiu.comSponsorship enquiries: sponsor@perrytiu.comFollow Podcast Ruined by a Software Engineer and leave a review• Apple Podcasts: https://apple.co/3RASg8x• Spotify: https://spoti.fi/3RBAXEw• Youtube: https://youtube.com/@perrytiuMore Podcast Ruined by a Software Engineer• Website: https://perrytiu.com/podcast• Merch: https://perrytiu.com/shop• RSS Feed: https://perrytiu.com/podcast/rss.xmlFollow Perry Tiu• Twitter: https://twitter.com/perry_tiu• LinkedIn: https://linkedin.com/in/perrytiu• Instagram: https://instagram.com/doctorpoor

In this episode, I was joined by Gui Ferreira to chat about one of my favourite topics - life productivity! Where we talked about goal-setting, time management, and productivity in general. We also chatted a bit at the end about testing and AI.Guilherme Ferreira, also known as Gui, is a Minimalist Software Craftsman, passionate about simplicity and continuous learning. Gui is a Microsoft MVP for Developer Technologies, a Tech Speaker, a YouTuber, and a .NET content creator. With over 15 years of experience in software development, Gui went from Startups to Tech Giants. Along his journey, he got to know several hats, including Software Engineer, Architect, CTO, and Developer Advocate, gathering a diverse and invaluable skill set.For a full list of show notes, or to add comments - please see the website here

Demos are easy; durability is hard. Samuel Colvin has spent a decade building guardrails in Python (first with Pydantic, now with Logfire), and he's convinced most LLM failures have nothing to do with the model itself. They appear where the data is fuzzy, the prompts drift, or no one bothered to measure real-world behavior. Samuel joins me to show how a sprinkle of engineering discipline keeps those failures from ever reaching users. We talk through: • Tiny labels, big leverage: how five thumbs-ups/thumbs-downs are enough for Logfire to build a rubric that scores every call in real time • Drift alarms, not dashboards: catching the moment your prompt or data shifts instead of reading charts after the fact • Prompt self-repair: a prototype agent that rewrites its own system prompt—and tells you when it still doesn't have what it needs • The hidden cost curve: why the last 15 percent of reliability costs far more than the flashy 85 percent demo • Business-first metrics: shipping features that meet real goals instead of chasing another decimal point of “accuracy” If you're past the proof-of-concept stage and staring down the “now it has to work” cliff, this episode is your climbing guide. LINKS Pydantic (https://pydantic.dev/) Logfire (https://pydantic.dev/logfire) Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) Hugo's recent newsletter about upcoming events and more! (https://hugobowne.substack.com/p/stop-building-agents)

Is AI taking over the craft of coding? Many engineers now face an identity crisis.In the episode, Distinguished Engineer Annie Vella discusses her research on AI's impact on software development. She explores the “software engineering identity crisis” as the craft of coding becomes automated. Annie warns that the seductive speed of AI tools can lead to lower quality and delivery instability, a trend supported by reports from DORA and GitClear. She also cautions that over-reliance on AI prevents engineers from gaining the hands-on experience needed for deep skill acquisition.Key topics discussed:How AI is reshaping the software development lifecycleThe software engineer's professional identity crisisThe real danger of over-relying on AI toolsHow to balance the seduction of speed with long-term qualityCrucial advice for junior engineers entering the industryWhy leaders must shift focus from speed to qualityThe idea of treating AI as a team member instead of just a tool  Timestamps:(00:00:00) Trailer & Intro(00:02:32) AI Impact on Career and Software Engineering(00:07:00) The Future of AI-Driven Software Engineering(00:14:29) The Shift in the Role of Software Engineer(00:22:13) When Writing Code is Not the Bottleneck Anymore(00:32:04) The Danger of Over-Reliance on AI(00:38:51) The Software Engineering Identity Crisis(00:48:09) Advice for Junior Engineers in This Challenging Time(00:53:34) The Shift in the Role of Engineering Management(00:59:46) You Are Not Alone(01:00:50) 3 Tech Lead Wisdom_____Annie Vella's BioAnnie Vella is a Distinguished Engineer at Westpac NZ with two decades of experience in software engineering and technical leadership across various industries and countries.Vella has returned to an engineering role after a period in management and is also a part-time Master's student at the University of Auckland, researching the impact of AI on software engineering. She believes that technologies like Generative AI, LLMs, and Agentic AI will revolutionize the field and problem-solving in general.Follow Annie:LinkedIn – linkedin.com/in/annievellaX – x.com/codefrenzyWebsite – annievella.com/Like this episode?Show notes & transcript: techleadjournal.dev/episodes/223.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

日本酒の素晴らしさをシリコンバレーから世界に伝えるHelloSakeを運営するKenta Haraさんをお迎えしてお話をお聞きしました。Hello Sake創業秘話海外における日本酒の認知度低さを変えたいなぜ事業にしたのか嗜好品は人生を豊かにする日本酒を世界に広めるためのチャレンジサーブする人から魅力を伝えられる人を作らないといけないシリコンバレーで日本酒屋さんを作る野望本業と事業の両立のコツhttps://x.com/hellokenta_jahttps://hellosake.com/enYour co-hosts:Tomoaki Imai, Noxx CTO⁠ https://twitter.com/tomoaki_imai⁠Ryoichi Kato, Software Engineer⁠ ⁠https://twitter.com/ryo1kato⁠出演者の発言はすべて個人の経験、見解に基づくものであり、所属組織を代表するものではありません

Get 10% off Hugo's "Building LLM Applications for Data Scientists and Software Engineers" online course!Today's clip is from episode 135 of the podcast, with Teemu Säilynoja.Alex and Teemu discuss the importance of simulation-based calibration (SBC). They explore the practical implementation of SBC in probabilistic programming languages, the challenges faced in developing SBC methods, and the significance of both prior and posterior SBC in ensuring model reliability. The discussion emphasizes the need for careful model implementation and inference algorithms to achieve accurate calibration.Get the full conversation here.Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)TranscriptThis is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.

In this episode of The New Stack Agents, Andrew Lee, co-founder of Shortwave and Firebase, discusses the evolution of his Gmail-centric email client into an AI-first platform. Initially launched in 2020 with traditional improvements like better threading and search, Shortwave pivoted to agentic AI after the rise of large language models (LLMs). Early features like summarization and translation garnered hype but lacked deep utility. However, as models improved in 2023—especially Anthropic's Claude Sonnet 3.5—Shortwave leaned heavily into tool-calling agents that could execute complex, multi-step tasks autonomously. Lee notes Anthropic's lead in this area, especially in chaining tools intelligently, unlike earlier models from OpenAI. Still, challenges remain with managing large numbers of tools without breaking model reasoning. Looking ahead, Lee envisions AI that can take proactive actions—like responding to emails—and dynamically generate interfaces tailored to tasks in real-time. This shift could fundamentally reshape how productivity apps work, with Shortwave aiming to be at the forefront of that transformation.Learn more from The New Stack about the latest insights of the power AI at scale:Why Streaming Is the Power Grid for AI-Native Data PlatformsCompanies Must Embrace BeSpoke AI Designed for IT WorkflowsJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.

Today we're examining Palantir's "Forward Deployed Software Engineers" - and separating fact from the hype!Everything old is new again! Move over companies that have been doing this for decades such as SAP, IBM, and countless consulting firms!https://blog.palantir.com/a-day-in-the-life-of-a-palantir-forward-deployed-software-engineer-45ef2de257b1Listen as we break down Palantir's 2020 blog post about their Forward Deployed Software Engineers (FDSEs) and discover what these engineers actually do versus what the marketing claims...Key topics covered:What FDSEs actually do, day-to-dayHow this compares to traditional consulting rolesThe difference between software configuration and software engineeringWhy embedded customer roles aren't newCareer advice for aspiring technical professionalsIf you're interested in understanding the reality behind tech industry buzzwords, this is your episode!#ProductManagement #SoftwareEngineering #TechCareers #Consulting #Leadership #AgileCoachingLINKS= = = = = = = = = = = =YouTube: https://youtu.be/SGvJK-aruJ8Spotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596Website: http://arguingagile.com= = = = = = = = = = = =Toronto Is My Beat (Music Sample)By Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

Most LLM-powered features do not break at the model. They break at the context. So how do you retrieve the right information to get useful results, even under vague or messy user queries? In this episode, we hear from Eric Ma, who leads data science research in the Data Science and AI group at Moderna. He shares what it takes to move beyond toy demos and ship LLM features that actually help people do their jobs. We cover: • How to align retrieval with user intent and why cosine similarity is not the answer • How a dumb YAML-based system outperformed so-called smart retrieval pipelines • Why vague queries like “what is this all about” expose real weaknesses in most systems • When vibe checks are enough and when formal evaluation is worth the effort • How retrieval workflows can evolve alongside your product and user needs If you are building LLM-powered systems and care about how they work, not just whether they work, this one is for you. LINKS Eric's website (https://ericmjl.github.io/) Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) Hugo's recent newsletter about upcoming events and more! (https://hugobowne.substack.com/p/stop-building-agents)

Unsere beiden heutigen Gäste sind Gründer, Produktstrategen und leidenschaftliche Technologen, mit einem klaren Ziel: die Kundenkommunikation mit Hilfe von Künstlicher Intelligenz grundlegend neu zu denken. Der eine studierte an der WHU, an der University of Texas und in Shanghai, gründete bereits ein eigenes Start-up im Creator-Tech-Bereich und arbeitete bei Roland Berger, Infosys und Enpal. Was ihn auszeichnet: ein tiefes Verständnis für digitale Geschäftsmodelle und der Wille, komplexe Technologien so zu gestalten, dass sie echten Mehrwert schaffen. Der andere absolvierte seinen Bachelor in Computer Science an der Stanford University und startete dort auch einen Master, den er zur Hälfte abschloss, um sich ganz dem Unternehmertum zu widmen. Nach Stationen bei N26, BCG Digital Ventures, Circ und zuletzt als Software Engineer und Product Manager bei Pitch ist er heute Co-Founder und CTO von telli. Seine Schwerpunkte: künstliche Intelligenz, Human-Computer-Interaction und der Brückenschlag zwischen Technologie und Nutzererlebnis. Mit ihrem gemeinsamen Unternehmen telli entwickeln sie eine KI-gestützte Lösung, die es Unternehmen ermöglicht, ihre gesamte Kundenkommunikation über ein intelligentes System zu führen: automatisiert, empathisch und effizient. Ihr Ziel ist es, das Kundenerlebnis neu zu definieren und Menschen in Unternehmen zu entlasten, indem repetitive Kommunikationsaufgaben künftig von einer digitalen Instanz übernommen werden können. Seit über acht Jahren beschäftigen wir uns in diesem Podcast mit der Frage, wie Arbeit den Menschen stärkt, statt ihn zu schwächen. In fast 500 Gesprächen mit über 600 Menschen haben wir darüber gesprochen, was sich für sie geändert hat und was sich noch ändern muss. Was passiert mit Kundenbeziehungen, wenn Künstliche Intelligenz zum ersten Ansprechpartner wird? Wie gelingt es, technologische Effizienz mit menschlicher Empathie zu verbinden und ist das überhaupt möglich? Und was heißt „New Work“ in einer Zukunft, in der Kommunikation zunehmend automatisiert, aber dennoch bedeutungsvoll bleiben soll? Fest steht: Für die Lösung unserer aktuellen Herausforderungen brauchen wir neue Impulse. Und darum suchen wir weiter nach Methoden, Vorbildern, Erfahrungen, Tools und Ideen, die uns dem Kern von New Work näherbringen. Darüber hinaus beschäftigt uns von Anfang an die Frage, ob wirklich alle Menschen das finden und leben können, was sie im Innersten wirklich, wirklich wollen. Ihr seid bei On the Way to New Work, heute mit Finn zur Mühlen und Seb Hapte-Selassie von telli. [Hier](https://linktr.ee/onthewaytonewwork) findet ihr alle Links zum Podcast und unseren aktuellen Werbepartnern

日本酒の素晴らしさをシリコンバレーから世界に伝えるHelloSakeを運営するKenta Haraさんをお迎えしてお話をお聞きしました。渡米のきっかけはGitHubのOSS活動初めてのアメリカ、NYからの英語特訓ビザまわりは大変、数百件の仕事に応募した話コロナ中の再渡米突然のアクハイア劇スタートアップとIPOした会社の違いhttps://x.com/hellokenta_jahttps://hellosake.com/enYour co-hosts:Tomoaki Imai, Noxx CTO⁠ https://twitter.com/tomoaki_imai⁠Ryoichi Kato, Software Engineer⁠ ⁠https://twitter.com/ryo1kato⁠出演者の発言はすべて個人の経験、見解に基づくものであり、所属組織を代表するものではありません

Have you ever been cut off mid-sentence, had your idea hijacked, or been completely misunderstood with no chance to recover? If you're someone who already finds speaking up challenging, these moments can feel devastating. In this episode, I'm sharing exactly how to reclaim your voice and communicate with unshakeable confidence. What I'm Covering: Why interruptions hit socially reserved people especially hard (and why it's not about the value of what you're saying) The real psychology behind why people interrupt—from enthusiasm to power plays My proven strategies for recovering in-the-moment when someone cuts you off or misunderstands you How to have follow-up conversations that prevent future interruptions without damaging relationships My In-the-Moment Recovery Framework: Stay Centered and Reclaim the Floor - Confident phrases to get your voice back Use Your Body Language - How to project confidence even when you're feeling rattled Address Misunderstandings Immediately - Scripts for clarifying without being defensive Bridge Back to Your Point - Techniques for returning to your original contribution  **   Don't even know where to begin in improving your interpersonal skills? Are you ready to leave social stress behind and go from where you are to where you want to be? Book a Social Strategy Session HERE  Free Guide: The Social Skills Playbook Have a question that needs an answer. Email me at Hello@SocialConfidencePro.com   LinkedIn Instagram TikTok

Tired of constant trial and error as local candidates enter your business before promptly exiting stage right? If you want to scale new heights, Bridge Hiring can get you there with remote staffing and outsourced talent acquisition solutions.https://bridgehiring.com Bridge Hiring City: Parowan Address: 41 N Main St Website: https://www.bridgehiring.com

What does it take to actually ship LLM-powered features, and what breaks when you connect them to real production data? In this episode, we hear from Philip Carter — then a Principal PM at Honeycomb and now a Product Management Director at Salesforce. In early 2023, he helped build one of the first LLM-powered SaaS features to ship to real users. More recently, he and his team built a production-ready MCP server. We cover: • How to evaluate LLM systems using human-aligned judges • The spreadsheet-driven process behind shipping Honeycomb's first LLM feature • The challenges of tool usage, prompt templates, and flaky model behavior • Where MCP shows promise, and where it breaks in the real world If you're working on LLMs in production, this one's for you! LINKS So We Shipped an AI Product: Did it Work? by Philip Carter (https://www.honeycomb.io/blog/we-shipped-ai-product) Vanishing Gradients YouTube Channel (https://www.youtube.com/channel/UC_NafIo-Ku2loOLrzm45ABA) Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) Hugo's recent newsletter about upcoming events and more! (https://hugobowne.substack.com/p/ai-as-a-civilizational-technology)

On today's show Ben and Andrew answer questions about the future of engineering jobs, the definition of vibe coding, Meta's AI upside, ChatGPT-led fashion shows, xAI as a third-tier streamer, and bitter lessons as autonomous driving becomes more viable. At the end: An emailer follow-ups on last week's conversation about normies and AI risk.

ep.100 Hiro Tsujinoさんゲスト回 「100. 経済学部からビッグテックのエンジニアになるまでhttps://open.spotify.com/episode/6AhM98za1MUZq0GuKwIQ4whttps://youtu.be/WJoZK9sMwvw?si=K0VoGgbsR6aMiTdD How to Design Better AI Appshttps://en.wikipedia.org/wiki/Considered_harmfulE.ダイクストラ “Goto文は有害である” (Go To Statement Considered Harmfulhttps://homepages.cwi.nl/~storm/teaching/reader/Dijkstra68.pdf)Considered Harmful https://en.wikipedia.org/wiki/Considered_harmful感想をぜひハッシュタグ #todayILearnedFM #tilfm でつぶやいてください!Your co-hosts:Tomoaki Imai, Noxx CTO  https://twitter.com/tomoaki_imaiRyoichi Kato, Software Engineer ⁠https://twitter.com/ryo1kato

This is the Engineering Culture Podcast, from the people behind InfoQ.com and the QCon conferences. In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Holly Cummins about productivity in creative knowledge work like software engineering. She talks about how "messing around and having fun" actually enhances problem-solving, while exploring the shift from coding to code management with AI tools and the importance of managing cognitive load in modern development practices. Read a transcript of this interview: https://bit.ly/4kLuW4n Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: InfoQ Dev Summit Munich (October 15-16, 2025) Essential insights on critical software development priorities. https://devsummit.infoq.com/conference/munich2025 QCon San Francisco 2025 (November 17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ QCon AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: www.linkedin.com/company/infoq - Facebook: bit.ly/2jmlyG8 - Instagram: @infoqdotcom - Youtube: www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

What happens when a software engineer follows a sweet little spark of curiosity all the way to the farmer's market? In this episode, host Jenny Dempsey chats with Case Sandberg, founder of San Diego Chocolate Co., about what it really looks like to leave a stable tech job and step into the (often melty) world of handcrafted chocolate.We talk about perfectionism, pivoting with purpose, building something from scratch, and why your next chapter doesn't need a polished plan — just a little momentum and maybe a glass of chocolate milk.Whether you're dreaming of leaving tech, craving a more hands-on life, or just want to feel seen in the mess of figuring it all out — this one's for you.In this episode, we talk about:Making a pivot without a perfect planWhy curiosity can be your compassCreating a business that feels like youBurnout, mini-sabbaticals, and trusting the timingBuilding something imperfect and still showing upLetting go of perfectionism to bring people joyTakeaway quote“I don't want to let my perfectionism get in the way of bringing joy to people.”Connect with Case and San Diego Chocolate CoFollow on InstagramOrder Online: San Diego Chocolate Co.Find him at the North Park, Hillcrest, and La Mesa farmers markets Thanks for listening to The Career Flipper!If you enjoyed this episode, let's spread the word! Share it with a friend, subscribe, and leave a review—it helps other career flippers find the show.Let's Stay Connected:Join the community: thecareerflipper.comTikTok: @thecareerflipperInstagram: @thecareerflipperpodGot a career flip story? I'd love to hear it—and maybe even have you on the podcast! Whether you've completed your flip, are just starting, or are in the thick of it, submit your story here: https://www.thecareerflipper.com Want to support the show?Looking for a speaker? I'd love to talk about career changes at your next event.Collaborate through sponsorships or affiliates! Let's work together.Email me: hello@thecareerflipper.comCheck Out My Customer Service CoursesBefore my career flip, I led customer experience teams and created online courses that have helped over 12,000 students worldwide. Whether you're switching to customer service or sharpening your skills to run your own business, these courses are packed with practical tips. Learn more at thecareerflipper.com/courses.Other Ways to Get Involved:Buy me a coffee!Explore my furniture flipsMusic CreditsSeason 1: Intro and outro music by audionautix.com. Season 2: Intro and outro original music by Jenny Dempsey, recorded in a home studio.What's the best that could happen?

In this on-the-road episode of The New Stack Makers, Editor in Chief Heather Joslyn speaks with Ev Kontsevoy, CEO and co-founder of Teleport, from the floor of KubeCon + CloudNativeCon Europe in London. The discussion centers on infrastructure security and the growing need for robust identity management. Citing alarming cybersecurity statistics—such as the $5 million average cost of a breach and rising attack frequency—Kontsevoy stresses that complexity is the root challenge in securing infrastructure. Today's environments involve countless layers and technologies, each with its own identity and access controls, increasing the risk of human error and breaches. Kontsevoy argues for treating all entities—humans, laptops, servers, AI agents—as identities managed under a unified framework. Teleport provides a zero trust access platform that enforces strong, cryptographically-backed identity across systems. He also highlights Teleport's version 17 release, which boosts support for non-human identities and integrates deeply with AWS. Looking ahead, Teleport is exploring support for emerging AI agent protocols like MCP to extend its identity-first approach. Learn more from The New Stack about the latest insights about Teleport: Removing the Complexity to Securely Access the Infrastructure Why AI Can't Protect You from AI-Generated Attacks Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Tim O'Hearn is a Software Engineer who wrote 'Framed: A Villain's Perspective on Social Media'. LinkedIn: https://www.linkedin.com/in/tohearn/ Website: https://timohearn.beehiiv.com/ Book: https://www.amazon.com/dp/B0DW2X8YSK CallumConnects Micro-Podcast is your daily dose of wholesome leadership inspiration. Hear from many different leaders in just 5 minutes what hurdles they have faced, how they overcame them, and what their key learning is. Be inspired, subscribe, leave a comment, go and change the world!

In this episode of the Data Science Salon Podcast, we sit down with Vishnupriya Devarajulu, a Software Engineer specializing in AI- and ML-driven performance optimization for large-scale enterprise systems. With deep expertise in backend engineering, system diagnostics, and intelligent test automation, Priya is redefining how organizations build systems that don't just respond—they anticipate. Priya walks us through her work designing adaptive frameworks that use machine learning to forecast system bottlenecks, improve latency, and optimize performance in high-stakes environments like finance. Key Highlights: Priya explains how she transforms traditional automation into self-learning, AI-powered frameworks using models like Random Forest to proactively identify and solve system issues. A deep dive into building ML-integrated performance pipelines that can adapt over time, dynamically suggest test scenarios, and drive smarter, faster, and more resilient systems. Insights into how predictive performance engineering is being applied in domains where speed and reliability are non-negotiable—and how to architect systems for it. Priya shares her perspective as a speaker and published researcher, and where she sees the future of intelligent infrastructure and AI-powered diagnostics heading next. Whether you're a systems engineer, ML practitioner, or enterprise leader exploring how AI can boost operational efficiency, this episode offers a powerful look at what happens when machine learning meets performance engineering.

If we want AI systems that actually work, we need to get much better at evaluating them, not just building more pipelines, agents, and frameworks. In this episode, Hugo talks with Hamel Hussain (ex-Airbnb, GitHub, DataRobot) about how teams can improve AI products by focusing on error analysis, data inspection, and systematic iteration. The conversation is based on Hamel's blog post A Field Guide to Rapidly Improving AI Products, which he joined Hugo's class to discuss. They cover:

Tim O'Hearn is a Software Engineer who wrote 'Framed: A Villain's Perspective on Social Media'. LinkedIn: https://www.linkedin.com/in/tohearn/ Website: https://timohearn.beehiiv.com/ Book: https://www.amazon.com/dp/B0DW2X8YSK CallumConnects Micro-Podcast is your daily dose of wholesome leadership inspiration. Hear from many different leaders in just 5 minutes what hurdles they have faced, how they overcame them, and what their key learning is. Be inspired, subscribe, leave a comment, go and change the world!

Tim O'Hearn is a Software Engineer who wrote 'Framed: A Villain's Perspective on Social Media'. LinkedIn: https://www.linkedin.com/in/tohearn/ Website: https://timohearn.beehiiv.com/ Book: https://www.amazon.com/dp/B0DW2X8YSK CallumConnects Micro-Podcast is your daily dose of wholesome leadership inspiration. Hear from many different leaders in just 5 minutes what hurdles they have faced, how they overcame them, and what their key learning is. Be inspired, subscribe, leave a comment, go and change the world!

“本当の価値はコードにはない”というエッセイを元に、事業におけるコードの価値や、Vibe Codingなどでソフトウェアエンジニアの仕事がどうなるのかについて話しました。https://jonayre.uk/blog/2022/10/30/the-real-value-isnt-in-the-code/Hacker newsの感想 https://news.ycombinator.com/item?id=44046955ファウンディングエンジニア・デイ イベント詳細 https://lu.ma/jv2e4ewr感想をぜひハッシュタグ #todayILearnedFM #tilfm でつぶやいてください!Your co-hosts:Tomoaki Imai, Noxx CTO https://x.com/tomoaki_imai bsky: https://bsky.app/profile/tomoaki-imai.bsky.socialRyoichi Kato, Software Engineer ⁠https://x.com/ryo1kato

Container-based Linux distributions are gaining traction, especially for edge deployments that demand lightweight and secure operating systems. Talos Linux, developed by Sidero Labs, is purpose-built for Kubernetes with security-first features like a fully immutable file system and disabled SSH access. In a demo, Sidero CTO Andrew Rynhard and Head of Product Justin Garrison explained Talos's design philosophy, highlighting its minimalism and focus on automation. Inspired by CoreOS, Talos removes traditional tools like systemd and Bash, replacing them with machineD, a custom process manager written in Go.Talos emphasizes API-driven management rather than SSH, making Kubernetes cluster operations more scalable and consistent. Its design supports cloud, bare metal, Docker, and edge devices like Raspberry Pi. Kernel immutability is reinforced by ephemeral signing keys. Through Sidero's Omni SaaS, Talos nodes connect securely via WireGuard. The operating system handles all certificates and network connectivity internally, streamlining security and deployment. As Garrison notes, Talos delivers a portable API for “big iron, small iron—no matter what.”Learn more from The New Stack about Sidero Labs:  Is Cluster API Really the Future of Kubernetes Deployment? Choosing a Linux Distribution Join our community of newsletter subscribers to stay on top of the news and at the top of your game. https://thenewstack.io/newsletter/ 

This month, we return to a classic Klaviyo Data Science Podcast series: books every data scientist (and software engineer) should read. This episode focuses on the Clean * duology by Robert C. Martin, which teaches the principles of both clean code and clean architecture. We've brought on two senior engineers at Klaviyo who've learned, practiced, and developed their own opinions on the lessons in these books. Listen in to learn:How to use these books to level up your own skills and the skills of your teamWhy the book's spiciest opinions make sense, and where you might disagree with them in practice What our panel's deepest, most intimate thoughts on docstrings areFor more details, including links to these books, check out the ⁠full writeup on Medium⁠!

AI is reshaping software engineering—but are developers getting better or worse?In this episode, Borislav Nikolov and Rares Mirica join me to discuss the identity crisis facing software engineers due to AI-driven tools. We explore the balance between increased productivity and potential intellectual decline, and what developers can do to stay ahead in a rapidly changing field.Topics include:✅ Pros and cons of relying on AI tools in coding.✅ The importance of maintaining critical thinking skills as a software engineer.✅ Real-world examples of AI's impact on productivity and software quality.Tune in to understand the challenges and opportunities AI brings to software engineering and discover how to adapt effectively.

### 関連書籍等- 「Staff Engineer: Leadership beyond the management track」 - [https://amzn.to/3CGI7hd](https://t.co/2wTT0FyOgb) - 邦題「Staff Engineer - 管理職にならずに活躍しつづける最強のソフトウェアエンジニアへ!」- An Elegant Puzzle: Systems of Engineering Management https://amzn.to/4ly22Fv - **エレガントパズル　エンジニアのマネジメントという難問にあなたはどう立ち向かうのか** https://amzn.to/3YFcn8N - See also: The Staff Engineer's Path by [Tanya Reilly](https://www.linkedin.com/in/tanyareilly/)- Ryoichiの2021 読了メモ: https://x.com/ryo1kato/status/1425629458929643523### 関連エピソード- ep3. Thriving on the Technical Leadership Path- ep10. What distinguishes a great software engineer from a good one?- ep64. 技術チームのリーダーが優れた技術者であるべき理由感想をぜひハッシュタグ #todayILearnedFM #tilfm でつぶやいてください!Your co-hosts:- Tomoaki Imai, Noxx CTO https://twitter.com/tomoaki_imai- Ryoichi Kato, Software Engineer https://twitter.com/ryo1kato

Support: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ + ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ + ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ + ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ + ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠In this Boss Rush Podcast Spotlight interview, Stephanie Klimov and Patrick Klein sit down with Ciro Camera, Founder and 3D Artist, and Massimo Origano, Software Engineer at indie studio Imaginarylab, to discuss their upcoming game Whirlight – No Time to Trip, which they previewed at PAX East 2025 in May. Wishlist Whirlight on SteamWebsite for more infoThank you for watching or listening to The Boss Rush Podcast. Leave a rating and review on Apple Podcasts or Spotify, and like and subscribe on YouTube. Your support, whether through Patreon, subscribing on YouTube, or simply tuning in, means so much to us. Thanks for your continued support of our independent endeavor.

If we want AI systems that actually work in production, we need better infrastructure—not just better models. In this episode, Hugo talks with Akshay Agrawal (Marimo, ex-Google Brain, Netflix, Stanford) about why data and AI pipelines still break down at scale, and how we can fix the fundamentals: reproducibility, composability, and reliable execution. They discuss:

Brendan Foody is the co-founder and CEO of Mercor, a company building the infrastructure for AI-native labor markets. Mercor's platform is already used by top AI labs to label data, evaluate human and AI candidates, and make performance-driven hiring decisions.  They're operating at the intersection of recruiting, evals, and foundation model development—helping companies shift from intuition to measurable prediction. Brendan and his team recently raised $100M and are working with some of the most advanced players in the AI ecosystem today. (0:00) Intro(1:17) State of AI in Talent Evaluation(1:54) Improvements in AI Models(4:07) Mercor Background and Mission(5:09) AI Use Cases in Hiring(13:43) Data Labeling Landscape(16:48) Expanding Beyond Coding(18:39) Company Vision and Market Strategy(21:11) Meeting with xAI(23:47) Does Mercor Use Their Own Product?(25:41) Exploring Multimodal Capabilities(28:03) Skills for the Future: Embracing AI(29:29) The Demand for Software Engineers(34:55) Foundation Model Landscape(38:42) AI Regulations(39:57) Quickfire With your co-hosts: @jacobeffron  - Partner at Redpoint, Former PM Flatiron Health  @patrickachase  - Partner at Redpoint, Former ML Engineer LinkedIn  @ericabrescia  - Former COO Github, Founder Bitnami (acq'd by VMWare)  @jordan_segall  - Partner at Redpoint

In this episode, we dive deep into the evolving relationship between engineering and product with Pranab Krishnan, CTO of Zeal - a payroll and payments platform for staffing companies. We explore how the traditional boundaries between engineering, product management, and customer interaction are dissolving, especially in the age of AI. Pranab shares insights on building a product-centric engineering culture, the concept of "shifting left," and how AI tools are reshaping the skills engineers need to succeed.Key Takeaways

AI agents hold the promise of continuously testing, scanning, and fixing code for security vulnerabilities, but we're still progressing toward that vision. Startups like Aptori are helping bridge the gap by building AI-powered security engineers for enterprises. Aptori maps an organization's codebase, APIs, and cloud infrastructure in real time to understand data flows and authorization logic, allowing it to detect and eventually remediate security issues. At Google Cloud Next, Aptori CEO Sumeet Singh discussed how earlier tools merely alerted developers to issues—often overwhelming them—but newer models like Gemini 2.5 Flash and Claude Sonnet 4 are improving automated code fixes, making them more practical. Singh and co-founder Travis Newhouse previously built AppFormix, which automated OpenStack cloud operations before being acquired by Juniper Networks. Their experiences with slow release cycles due to security bottlenecks inspired Aptori's focus. While the goal is autonomous agents, Singh emphasizes the need for transparency and deterministic elements in AI tools to ensure trust and reliability in enterprise security workflows.Learn more from The New Stack about the latest insights in AI application security: AI Is Changing Cybersecurity Fast and Most Analysts Aren't ReadyAI Security Agents Combat AI-Generated Code RisksDevelopers Are Embracing AI To Streamline Threat Detection and Stay AheadJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.

Cristian Cibils BernardesFounder & CEO @ AutographCristian Cibils Bernardes is the founder and CEO of Autograph, the company building Walter, the world's first AI Historian. Walter serves like a journal, calling you once a week to record your life story, and uses that data to build your Autograph, an AI portrait that sounds like you, speaks like you, and has your memories. This enables your loved ones to access the wisdom in your lived experience even after you're gone. It allows parents to whisper, "I'm proud of you," from the other side.Cristian studied Symbolic Systems at Stanford with a concentration in Artificial Intelligence, served as a Software Engineer at Google, was a Partner at Cibersons, is the author of upcoming Sci-Fi novel TRACES and host of the Rabbit Hole Research podcast.Want to be a guest on Book 101 Review? Send Daniel Lucas a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/17372807971394464fea5bae3 Hosted on Acast. See acast.com/privacy for more information.

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Luaというプログラミング言語で6万行のゲームアプリを書いた話について話しました。https://blog.luden.io/what-do-i-think-about-lua-after-shipping-a-project-with-60-000-lines-of-code-bf72a1328733Defoldゲームエンジン https://defold.com/Lua https://ja.wikipedia.org/wiki/LuaLearn Lua https://tylerneylon.com/a/learn-lua/言語ランキング https://survey.stackoverflow.co/2024/technology言語ランキングその2 https://www.tiobe.com/tiobe-index/パフォーマンス https://programming-language-benchmarks.vercel.app/lua-vs-pythonなにかにぶつかったときの条件分岐ロジックhttps://gist.github.com/zulman/cbb30496100d375082da43c87144d14c#file-if_selector-lua感想をぜひハッシュタグ #todayILearnedFM #tilfm でつぶやいてください!Your co-hosts:Tomoaki Imai, Noxx CTO https://x.com/tomoaki_imai bsky: https://bsky.app/profile/tomoaki-imai.bsky.socialRyoichi Kato, Software Engineer ⁠https://x.com/ryo1kato

Flying cars, robots that make you breakfast, meals in pill format to make sure you get all your nutrients. That's what we thought the future was going to be. Who could have ever predicted that something like a Software Engineer would even be a thing? Nobody. Ai is in the same predicament right now. It's hard to not talk about it in today's hyped up climate. The reality?It's just not that great. Yet. Founder & CEO of Airpost.ai, John Gargiulo, shares his thoughts on where Ai is now and where it's headed. Could it build out robust creative campaigns 30 years from now? Maybe. Can it add incremental value to someone who is an expert in their field? Eh, not really. Take your lunch pill and get ready for a fast paced chat on the ups and downs of new technology.The Longer Game is a podcast focused on leaning into the trends and advancements in retail so brands see a clearer path to success across ALL channels. We're looking at retail in a whole new way, looking to better understand the future of retail. It's Retail Reimagined. Sharing hope about the future. No one channel can a business sustain. Go omni-channel.Like what you're hearing? Subscribe to our channel and make sure to click or tap the bell so you get notified whenever new episodes drop.Want to learn more about The Longer Game? Head over to https://thelongergame.com to read show notes, watch more episodes, or contact us.Follow us on LinkedIn: https://linkedin.com/company/thelongergameFollow us on Instagram: https://instagram.com/thelongergameFollow us on Facebook: https://facebook.com/thelongergameOur guest's Name is John Gargiulo. He is the founder and CEO of Airpost, an AI-driven platform automating video ad production, making volumes of UGC ad creative accessible to brands of all sizes. He is a former Global Product Marketing Lead at Airbnb, where he launched and scaled new products and features for millions of hosts and guests. He is a seasoned marketer with over 15 years of experience in creative direction, digital marketing, and online advertising. He is also a frequent speaker on the future of AI in marketing, user-generated content, and advanced creative strategies for consumer brands in e-commerce, fintech, and mobile. You can find them at...Website: https://airpost.ai/Find them on LinkedIn: https://www.linkedin.com/in/john-gargiulo/Find them on Instagram: @johnnotjonFind them on Facebook: John GargiuloMichael Maher, the host, would love to connect with you. Reach out to him at…Email: michael@thinkcartology.comLinkedIn: https://linkedin.com/in/immichaelmaherThis podcast is sponsored by Cartology and Podcastify Me.Cartology is a customized done-for-you service agency that helps brands accelerate growth and get profitable on the Amazon marketplace. They work directly with brands to create strategy and then go right out and execute it. Want to find out more?Website: https://thinkcartology.comFind Cartology on LinkedIn: https://linkedin.com/company/cartologyFind Cartology on Instagram: https://instagram.com/thinkcartologyFind Cartology on Facebook: https://facebook.com/thinkcartologyPodcastify Me is designed to help coaches of all kinds enter the podcasting space with minimal lift for them. And, inviting past, current and future clients to your show as part of your marketing and sales process sets you apart from your competition, in a time where podcasting is really gaining popularity.Website: https://podcastify.meFind Podcastify Me on LinkedIn: https://www.linkedin.com/company/podcastify-me/Find Podcastify Me on Instagram: https://www.instagram.com/podcastify.me/Find Podcastify Me on YouTube: https://www.youtube.com/channel/UCf2biqOTN2UbZ5aaM4Sx6NQ

In this episode ofThe New Stack Makers, Nitric CEO Steve Demchuk discusses how the frustration of building frontend apps within rigid FinTech environments led to the creation of the Nitric framework — a tool designed to eliminate the friction between developers and cloud infrastructure. Unlike traditional Infrastructure as Code (IaC), where developers must manage both app logic and infrastructure definitions separately, Nitric introduces “Infrastructure from Code.” This approach allows developers to focus solely on application logic while the platform infers and automates infrastructure needs using SDKs and CLI tools across multiple languages and cloud providers.Demchuk emphasizes that Nitric doesn't remove platform team control but enforces it consistently. Guardrails defined by platform teams guide infrastructure provisioning, ensuring security and compliance — even as developers use AI tools to rapidly generate code. The result is a streamlined workflow where developers move faster, AI enhances productivity, and platform teams retain oversight. This episode offers engineering leaders insight into a paradigm shift in how cloud infrastructure is managed in the AI era.Learn more from The New Stack about the latest insights about Nitric:  Building a Serverless Meme Generator With Nitric and OpenAIWhy Most Companies Are Struggling With Infrastructure as Code Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Guests are Nick Eberts and Jon Li. Nick is a Product Manager at Google working on Fleets and Multi-Cluster and Jon is a Software Engineer at Google working on AI Inference on Kubernetes. We discussed the newly announced Multi Cluster Orchestrator (MCO) and the challenges of running multiple clusters.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week Etcd has released version 3.6.0 Kubernetes 1.33 is now available in the Rapid channel in GKE Kyverno 1.14.0 was released Links from the interview Nick Eberts on LinkedIn Jon Li on LinkedIn MCO Blog MCO Repo Cluster Inventory API ClusterProfile API Gemma 3 vLLM Sample (deploy on Google Cloud using Terraform and Argo CD) Hello World Sample (deploy on Google Cloud using Terraform and Argo CD) Gateway API Inference Extension

"Blurring Reality" - Chai's Social AI Platform - sponsoredThis episode of MLST explores the groundbreaking work of Chai, a social AI platform that quietly built one of the world's largest AI companion ecosystems before ChatGPT's mainstream adoption. With over 10 million active users and just 13 engineers serving 2 trillion tokens per day, Chai discovered the massive appetite for AI companionship through serendipity while searching for product-market fit.CHAI sponsored this show *because they want to hire amazing engineers* -- CAREER OPPORTUNITIES AT CHAIChai is actively hiring in Palo Alto with competitive compensation ($300K-$800K+ equity) for roles including AI Infrastructure Engineers, Software Engineers, Applied AI Researchers, and more. Fast-track qualification available for candidates with significant product launches, open source contributions, or entrepreneurial success.https://www.chai-research.com/jobs/The conversation with founder William Beauchamp and engineers Tom Lu and Nischay Dhankhar covers Chai's innovative technical approaches including reinforcement learning from human feedback (RLHF), model blending techniques that combine smaller models to outperform larger ones, and their unique infrastructure challenges running exaflop-class compute.SPONSOR MESSAGES:***Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers in Zurich and SF. Goto https://tufalabs.ai/***Key themes explored include:- The ethics of AI engagement optimization and attention hacking- Content moderation at scale with a lean engineering team- The shift from AI as utility tool to AI as social companion- How users form deep emotional bonds with artificial intelligence- The broader implications of AI becoming a social mediumWe also examine OpenAI's recent pivot toward companion AI with April's new GPT-4o, suggesting a fundamental shift in how we interact with artificial intelligence - from utility-focused tools to companion-like experiences that blur the lines between human and artificial intimacy.The episode also covers Chai's unconventional approach to hiring only top-tier engineers, their bootstrap funding strategy focused on user revenue over VC funding, and their rapid experimentation culture where one in five experiments succeed.TOC:00:00:00 - Introduction: Steve Jobs' AI Vision & Chai's Scale00:04:02 - Chapter 1: Simulators - The Birth of Social AI00:13:34 - Chapter 2: Engineering at Chai - RLHF & Model Blending00:21:49 - Chapter 3: Social Impact of GenAI - Ethics & Safety00:33:55 - Chapter 4: The Lean Machine - 13 Engineers, Millions of Users00:42:38 - Chapter 5: GPT-4o Becoming a Companion - OpenAI's Pivot00:50:10 - Chapter 6: What Comes Next - The Future of AI Intimacy TRANSCRIPT: https://www.dropbox.com/scl/fi/yz2ewkzmwz9rbbturfbap/CHAI.pdf?rlkey=uuyk2nfhjzezucwdgntg5ubqb&dl=0

Discover how Rackspace Spot is democratizing cloud infrastructure with an open-market, transparent option for cloud servers. Kevin Carter, Product Director at Rackspace Technology, discusses Rackspace Spot's hypothesis and the impact of an open marketplace for cloud resources. Discover how this novel approach is transforming the industry. TIMESTAMPS[00:00:00] – Introduction & Kevin Carter's Background[00:02:00] – Journey to Rackspace and Open Source[00:04:00] – Engineering Culture and Pushing Boundaries[00:06:00] – Rackspace Spot and Market-Based Compute[00:08:00] – Cognitive vs. Technical Barriers in Cloud Adoption[00:10:00] – Tying Spot to OpenStack and Resource Scheduling[00:12:00] – Product Roadmap and Expansion of Spot[00:16:00] – Hardware Constraints and Power Consumption[00:18:00] – Scrappy Startups and Emerging Hardware Solutions[00:20:00] – Programming Languages for Accelerators (e.g., Mojo)[00:22:00] – Evolving Role of Software Engineers[00:24:00] – Importance of Collaboration and Communication[00:28:00] – Building Personal Networks Through Open Source[00:30:00] – The Power of Asking and Offering Help[00:34:00] – A Question No One Asks: Mentors[00:38:00] – The Power of Educators and Mentorship[00:40:00] – Rackspace's OpenStack and Spot Ecosystem Strategy[00:42:00] – Open Source Communities to Join[00:44:00] – Simplifying Complex Systems[00:46:00] – Getting Started with Rackspace Spot and GitHub[00:48:00] – Human Skills in the Age of GenAI - Post Interview Conversation[00:54:00] – Processing Feedback with Emotional Intelligence[00:56:00] – Encouraging Inclusive and Clear Collaboration QUOTESCHARNA PARKEY“If you can't engage with this infrastructure in a way that's going to help you, then I guarantee you it's not up to par for the direction that we're going. [...] This democratization — if you don't know how to use it — it's not doing its job.”KEVIN CARTER“Those scrappy startups are going to be the ones that solve it. They're going to figure out new and interesting ways to leverage instructions. [...] You're going to see a push from them into the hardware manufacturers to enhance workloads on FPGAs, leveraging AVX 512 instruction sets that are historically on CPU silicon, not on a GPU.”

Register for my FREE debt class for entrepreneurs: https://ginaknox.co/masterclass-ad Join Small Business Money School: https://ginaknox.co/school Join the waitlist for the 7 Figure Wealth Mastermind: https://ginaknox.co/mastermind Episode Synopsis: In this engaging conversation, Chaitra Radhakrishna shares her journey from being a software engineer to becoming a successful entrepreneur and the owner of Pink Pot Studio. She discusses her rebranding efforts, the influence of her father's financial wisdom, and how motherhood reshaped her perspective on business and financial independence. Chaitra reflects on the challenges she faced during her maternity leave, her determination to hit a $100K revenue goal, and the importance of value-based pricing. The conversation also touches on unexpected life changes and the resilience of women entrepreneurs. In this conversation, Gina Knox shares her journey of confronting limiting beliefs about money, the shift to financial responsibility as an entrepreneur, and the importance of continuous learning in wealth building. She discusses how her mindset evolved from viewing wealth as merely saving money to understanding the significance of investing. Gina emphasizes the need for entrepreneurs to build wealth alongside their businesses to reduce financial pressure and enable risk-taking in their ventures. Timestamps: 00:00 - Introduction to Chaitra Radhakrishna03:07 - The Journey from Software Engineer to Entrepreneur05:53 - First Memories of Money and Family Influence09:00 - Motherhood and Its Impact on Financial Independence12:09 - Navigating Business Challenges During Pregnancy14:55 - The Shift in Mindset After Motherhood18:13 - Pricing Strategies and Overcoming Money Mindset Blocks21:00 - Unexpected Life Changes and Financial Decisions24:20 - Confronting Limiting Beliefs About Money30:19 - The Shift to Financial Responsibility38:38 - Redefining Wealth Building46:12 - The Importance of Continuous Learning in Wealth Building About Chaitra Radhakrishna: Chaitra is the founder of The High-End Web Designer (HEWD), a coaching program that helps web designers scale to $10K+ projects while working less than 20 hours a week. After growing her own Shopify design studio, Pinkpot Studio, to six figures with high-end clients, she now teaches other designers how to raise their rates, attract premium clients, and build businesses rooted in sustainable ambition—profitable, balanced, and designed to fit their life, not the other way around. Where to find Chaitra: Website: https://chaitraradhakrishna.com/ Category: Wealth Keywords: Entrepreneurship, financial independence, motherhood, money mindset, business journey, rebranding, pricing strategies, personal growth, family influence, challenges, money mindset, entrepreneurship, financial literacy, wealth building, limiting beliefs, investing, cash flow, assets, financial responsibility, continuous learning

My guest today is Amber Elliot! Founder of Alderwood Studio, Amber is a Software Engineer turned fulltime Quilt Entrepreneur. She released her first book in 2022 and we'll do a deep dive into her 2nd book today on the podcast! Amber is a modern quilter, pattern designer, educator and a fabric designer for Riley Blake which was a big tick off her bucket list and she is the founder of the Modern Makes membership. Her big ticket item – the thing she's most known for – is her Pattern Writing Academy – a 7 week course to get you designing, producing and selling your patterns from start to finish. This will be an episode packed with lessons and inspiration!Want to travel with Brandy?2025 FESTIVAL OF QUILTS Birmingham!!! This 14-day tour of Wales and England takes in the rich textile history and breathtaking cultural landmarks. Tour England & Wales ending at the Festival of Quilts. Call the team at Opuent Quilt Journeys at 1-877-235-3767 or go to  https://opulentquiltjourneys.com/destinations/britain/item/birmingham-festival-of-quilts-tour-with-brandyQuilter on Fire Website - https://quilteronfire.com/OLISO IRONS - Host of the Quilter on Fire Podcast Lounge each year at QuiltCon!BUY YOUR OWN OLISO MINI PROJECT IRON RIGHT HERESquare One Textile Art WorkshopLink to Brandy's email listKristy's Quilt Picture BookQuilter on Fire PatternsFree Quilter on Fire Holiday Table Runner VIDEO Support the showThank you for listening to the Quilter on Fire Podcast.

BONUS: Software Engineers are Paid to Solve Problems, Not Write Code! With John Crickett In this BONUS episode, we explore a thought-provoking LinkedIn post by John Crickett that challenges a fundamental misconception in software engineering. John shares insights on why engineers should focus on problem-solving rather than just coding, how to develop business context understanding, and why this shift in perspective is crucial in the age of AI. Beyond Writing Code: Understanding the True Value of Software Engineering "A lot of us come to software engineering because we care about building, and missed the goal: solving a problem for a customer." John Crickett explains the fundamental disconnect many software engineers experience in their careers. While many enter the field with a passion for building and coding, they often lose sight of the ultimate purpose: solving real problems for customers. This misalignment can lead to creating technically impressive solutions that fail to address actual business needs. John emphasizes that the most valuable engineers are those who can bridge the gap between technical implementation and business value. In this section, we refer to John's Coding Challenges and Developing Skills websites. The Isolation Problem in Engineering Teams "We have insulated people from seeing and interacting with customers, perhaps because we were afraid they would create a problem with customers." One of the key issues John identifies is how engineering teams are often deliberately separated from customers and end-users. This isolation, while sometimes implemented with good intentions, prevents engineers from gaining crucial context about the problems they're trying to solve. John shares his early career experience of participating in the sales process for software projects, which gave him valuable insights into customer needs. He highlights the Extreme Programming (XP) approach, which advocates for having the customer "in the room" to provide direct and immediate feedback, creating a tighter feedback loop between problem identification and solution implementation. In this segment, we refer to the book XP Explained by Kent Beck. The AI Replacement Risk "If all you are doing is taking a ticket that is fully spec'ed out, and coding it, then an LLM could also do that. The value is in understanding the problem." In a world where Large Language Models (LLMs) are increasingly capable of generating code, John warns that engineers who define themselves solely as coders face a significant risk of obsolescence. The true differentiation and value come from understanding the business domain and problem space—abilities that current AI tools haven't mastered. John advises engineers to develop domain knowledge specific to their business or customers, as this expertise allows them to contribute uniquely valuable insights beyond mere code implementation. Cultivating Business Context Understanding "Be curious about what the goal is behind the code you need to write. When people tell you to build, you need to be curious about why you are being asked to build that particular solution." John offers practical advice for engineers looking to develop better business context understanding. The key is cultivating genuine curiosity about the "why" behind coding tasks and features. By questioning requirements and understanding the business goals driving technical decisions, engineers can transform their role from merely delivering code to providing valuable services and solutions. This approach allows engineers to contribute more meaningfully and become partners in business success rather than just implementers. Building the Right Engineering Culture "Code is always a liability, sometimes it's an asset. The process starts with hiring the CTO—the people at the top. You get the team that reflects your values." Creating an engineering culture that values problem-solving over code production starts at the leadership level. John emphasizes that the values demonstrated by technical leadership will cascade throughout the organization. He notes the counter-intuitive truth that code itself is inherently a liability (requiring maintenance, updates, and potential refactoring), only becoming an asset when it effectively solves business problems. Building a team that understands this distinction begins with leadership that demonstrates curiosity about the business domain and encourages engineers to do the same. The Power of Asking Questions "Be curious, ask more questions." For engineers looking to make the shift from coder to problem-solver, John recommends developing the skill of asking good questions. He points to Harvard Business Review's article on "The Surprising Power of Questions" as a valuable resource. The ability to ask insightful questions about business needs, user requirements, and problem definitions allows engineers to uncover the true challenges beneath surface-level requirements. This curiosity-driven approach not only leads to better solutions but also positions engineers as valuable contributors to business strategy. In this segment, we refer to the article in HBR titled The Surprising Power of Questions. About John Crickett John is a passionate software engineer and leader on a mission to empower one million engineers and managers. With extensive expertise in distributed systems, full-stack development, and evolving tech stacks from C++ to Rust, John creates innovative coding challenges, insightful articles, and newsletters to help teams level up their skills. You can link with John Crickett on LinkedIn.