Podcasts about software engineers

In this episode of Android Back Stage, Hosts Tor, and Chet are joined by Melba and Ralston, Software Engineers on the Compose Team, to talk about Autofill in Compose. Learn about Autofill services, best practices, and more! Chapters: 0:00 - Intro 0:40 - What is Autofill? 1:21 - Autofill team journey and semantics 2:15 - Defining semantics in Compose 3:29 - Bridging views and Compose for Autofill 4:23 - Developer Experience: Early autofill in Compose 7:02 - Autofill services and communication flow 7:59 - User authentication and multiple autofill services 12:53 - The Autofill flow: From tap to fill 21:56 - Handling list types and saving credentials (commit) 30:11 - The “Asteriks” bug and semantics refractor 31:09 - Performance improvements in Autofill 37:48 - Compose's architectural advantages (composition over inheritance) 40:30 - Best practices and future improvements  

On this Salcedo Storm Podcast:Andy Hopper is a Software Engineer, Texas Guardsman, and conservative activist who unseated a RINO incumbent and now represents Texas House District 64 in the Texas State House.ANDRepresentative Brian Harrison represents the 10th district in the Texas State House. Prior to that he was President Trump's Chief of Staff at HHS.

In a world where "AI" gets thrown around constantly, what does it really mean for those working in tech? What are the moments at work that actually feel fun—or genuinely rewarding? The idea of a “Cat in a Black Box” feels strangely fitting for engineers: so much of what they build is unseen, uncertain, until it's opened. Amid hectic days, she finds joy in dancing K-pop and hip-hop—movements that become more than just choreography. A dance instructor for over four years, she leads with quiet confidence behind the scenes, while holding onto a traditional Korean mindset she hopes never fades.

While AI training garners most of the spotlight — and investment — the demands ofAI inferenceare shaping up to be an even bigger challenge. In this episode ofThe New Stack Makers, Sid Sheth, founder and CEO of d-Matrix, argues that inference is anything but one-size-fits-all. Different use cases — from low-cost to high-interactivity or throughput-optimized — require tailored hardware, and existing GPU architectures aren't built to address all these needs simultaneously.“The world of inference is going to be truly heterogeneous,” Sheth said, meaning specialized hardware will be required to meet diverse performance profiles. A major bottleneck? The distance between memory and compute. Inference, especially in generative AI and agentic workflows, requires constant memory access, so minimizing the distance data must travel is key to improving performance and reducing cost.To address this, d-Matrix developed Corsair, a modular platform where memory and compute are vertically stacked — “like pancakes” — enabling faster, more efficient inference. The result is scalable, flexible AI infrastructure purpose-built for inference at scale.Learn more from The New Stack about inference compute and AIScaling AI Inference at the Edge with Distributed PostgreSQLDeep Infra Is Building an AI Inference Cloud for DevelopersJoin our community of newsletter subscribers to stay on top of the news and at the top of your game  

Relebogile Mabotja speaks to Nicol Louw a Technical Expert unpacking how software engineers calibrate modern car engines to run efficiently, reliably, and in a way that reduces costly warranty claims. 702 Afternoons with Relebogile Mabotja is broadcast live on Johannesburg based talk radio station 702 every weekday afternoon. Relebogile brings a lighter touch to some of the issues of the day as well as a mix of lifestyle topics and a peak into the worlds of entertainment and leisure. Thank you for listening to a 702 Afternoons with Relebogile Mabotja podcast. Listen live on Primedia+ weekdays from 13:00 to 15:00 (SA Time) to Afternoons with Relebogile Mabotja broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/2qKsEfu or find all the catch-up podcasts here https://buff.ly/DTykncj Subscribe to the 702 Daily and Weekly Newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 See omnystudio.com/listener for privacy information.

In the latest episode ofThe New Stack Agents, Naveen Rao, VP of AI at Databricks and a former neuroscientist, reflects on the evolution of AI, neural networks, and the energy constraints that define both biological and artificial intelligence. Rao, who once built circuit systems as a child and later studied the brain's 20-watt efficiency at Duke and Brown, argues that current AI development—relying on massive energy-intensive data centers—is unsustainable. He believes true intelligence should emerge from low-power, efficient systems, more aligned with biological computing.Rao warns that the industry is headed toward “model collapse,” where large language models (LLMs) begin training on AI-generated content instead of real-world data, leading to compounding inaccuracies and hallucinations. He stresses the importance of grounding AI in reality and moving beyond brute-force scaling. Rao sees intelligence not just as a function of computing power, but as a distributed, observational system—“life is a learning machine,” he says—hinting at a need to fundamentally rethink how we build AI.Learn more from The New Stack about the latest insights about the evolution of AI and neural networks: The 50-Year Story of the Rise, Fall, and Rebirth of Neural NetworksThe Evolution of the AI Stack: From Foundation to AgentsJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. 

IVS京都というイベントに参加してNotion/VercelのCEOから創業について聴いた話、イベント開催、日本からのリモートワークについて話しました。IVS京都 https://www.ivs.events/ファウンディングエンジニア・デイ~起業・スタートアップに飛び込む技術者の集い~ **https://lu.ma/jv2e4ewr登壇スライド: シリコンバレーでスタートアップを共同創業したファウンディングエンジニアとしての学びhttps://speakerdeck.com/tomoima525/sirikonbaredesutatoatupuwogong-tong-chuang-ye-sitahuaundeinguenziniatositenoxue-bi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 bsky: https://bsky.app/profile/ryo1kato.bsky.social

Art Hu, Global CIO at Lenovo, shares proven strategies for implementing AI at scale in one of the world's largest technology companies. Learn how to navigate uncertainty, build organizational agility, and drive real business value from AI investments.In this episode, you'll learn:Why "no regret" AI investments beat waiting for perfect solutions • How to transform fear of job loss into workforce empowerment • The framework Lenovo uses to evaluate AI opportunities across every business function • Why pull-based learning environments outperform top-down AI mandates • How software engineers are expanding beyond code to become business architectsKey insights covered:✓ Agility as competitive advantage: Accept that AI technologies chosen today won't remain cutting-edge in six months. Build organizational agility instead of seeking guaranteed outcomes.✓ Reframe the AI conversation: AI automates specific tasks within jobs, not entire positions. Leaders must help teams decompose roles and reconstruct them around uniquely human contributions.✓ Create environments, not mandates: Lenovo built hundreds of approved AI agents across legal, marketing, finance, and HR. When employees experiment with relevant tools, they naturally request advanced training.✓ Leadership requires hands-on experience: Senior executives must personally engage with AI tools to lead effectively. You cannot manage what you don't understand.Art Hu oversees technology strategy for a company selling four devices per second globally. His dual perspective as both Global CIO and Chief Delivery & Technology Officer provides unique insights into bridging the gap between AI potential and practical business outcomes.Perfect for: CIOs, CTOs, business executives, and technology leaders navigating AI transformation in their organizations.

10Xのソフトウェアエンジニア・futaboooがホストとなり、社内外のエンジニアをゲストにお呼びし、テック関連やチームマネジメントの話題について語るpodcast企画「エンジニアの部屋」第8回は10Xのソフトウェアエンジニア・ryota.suzukiさんをゲストにお迎えし、お届けチームついてお話ししました。▼スピーカーゲスト：ryota.suzuki さん（Software Engineer / @4245Ryomt）ホスト：futabooo（Software Engineer / ⁠⁠@futabooo⁠⁠）▼ハイライト- 自己紹介- 10Xのお届けチーム- 店舗のオペレーションを制約に合わせて作り直す話- 非同期処理でアプリ負荷改善- お会計チームとの合体- お届けチームで働くことを楽しめそうな人▼参考ページ自己紹介Podcast - 鈴木さんhttps://open.spotify.com/episode/3mV4TR6jXShjzgtAH6uevQ?si=P6nobNxoT9-AcgmbcUcqBQ&nd=1&dlsi=579bf7169fa1495f●番組へのおたよりフォーム⁠⁠https://bit.ly/3TBBpSC⁠Twitterからは「#10Xfm」にて感想等お待ちしております！●10Xでは一緒に働くメンバーを募集しています！⁠⁠https://bit.ly/42teLQh⁠⁠●10X.fmについてこの10XFMは、「10xを創る」というクレドと、「小売業の未来を拓く」をミッションに、小売チェーン向けECプラットフォーム「Stailer（ステイラー）」や小売業の構造的な課題解決を推進するDXプロダクトを複数開発している株式会社10Xのメンバーがキャリアや、日々の出来事・学び、プロダクトに対する思いをつつみ隠さずリアルにお届けしていくポッドキャスト番組です。

Joe Cuevas Jr. is a seasoned software engineer based in San Antonio, Texas, with a strong focus on front-end development and user experience. At Southwest Research Institute, he contributes to innovative engineering solutions that span industries. With a background that blends technical precision and creative problem-solving, Joe brings a thoughtful perspective to the evolving world of software development. His passion for clean design, scalable code, and collaborative innovation makes him a standout voice in today's tech landscape.   Topics of Discussion: [1:46] Why Joe fell in love with programming after a single VB.NET class. [5:00] What guided Joe towards the enterprise side of .NET. [6:25] Joe's favorite foundational .NET and ASP.NET Core books. [9:06] Learning algorithms, concurrency, and testing to make up for no CS degree. [10:00] Why test automation is essential and doing testing immediately after writing the code. [12:14] Thoughts on test-driven development vs. testing right after coding. [14:18] Previewing Microsoft Semantic Kernel in Action, by Daniel Costa. [15:38] How Joe became a Manning book reviewer, and what he's learned. [17:18] Prompt engineering and agent instructions: what's ready now. [18:21] Codex and the moment that blew Joe's mind. [22:26] How Joe sees software architecture evolving in the future. [24:09] Large language models vs. older code bases, and where they shine. [27:57] Dependency injections. [32:43] Joe's advice for junior developers and why persistence beats perfection. Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at programming@palermo.net. Joe Cuevas LinkedIn ASP.NET Core in Action ASP.NET Core in Action, Third Edition Unit Testing Principles, Practice, and Patterns Unit Testing Principles, Practices, and Patterns: Effective testing styles, patterns, and reliable automation for unit testing, mocking, and integration testing with examples in C# Dependency Injection in .NET Microsoft Semantic Kernel in Action Explore — LeetCode Joe on GitHub   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

A senior software engineer for Turso, Thorpe is part of an experimental program in the Maine state prison system that allows incarcerated people to work remote jobs from custody. Learn more about your ad choices. Visit podcastchoices.com/adchoices

断片化に強いという特徴があるmallocメモリアロケーターの実装のひとつ、jemallocの20年の歴史について紹介しました。jemalloc Postmortem by Jason Evansブログ https://jasone.github.io/2025/06/12/jemalloc-postmortem/Hacker Newsの議論 https://news.ycombinator.com/item?id=44264958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 bsky: https://bsky.app/profile/ryo1kato.bsky.social

Fal.ai, once focused on machine learning infrastructure, has evolved into a major player in generative media. In this episode of The New Stack Agents, hosts speak with Fal.ai CEO Burkay Gur and investor Glenn Solomon of Notable Capital. Originally aiming to optimize Python runtimes, Fal.ai shifted direction as generative AI exploded, driven by tools like DALL·E and ChatGPT. Today, Fal.ai hosts hundreds of models—from image to audio and video—and emphasizes fast, optimized inference to meet growing demand.Speed became Fal.ai's competitive edge, especially as newer generative models require GPU power not just for training but also for inference. Solomon noted that while optimization alone isn't a sustainable business model, Fal's value lies in speed and developer experience. Fal.ai offers both an easy-to-use web interface and developer-focused APIs, appealing to both technical and non-technical users.Gur also addressed generative AI's impact on creatives, arguing that while the cost of creation has plummeted, the cost of creativity remains—and may even increase as content becomes easier to produce.Learn more from The New Stack about AI's impact on creatives:AI Will Steal Developer Jobs (But Not How You Think) How AI Agents Will Change the Web for Users and Developers Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Sze Wong is the Founder and CEO of Zerion Software, a software development company building technology to help teams perform better field data collection.Listen to Sze talk about how he turned teaching java into a business, how he nearly went bankrupt after failing to recognize the macroeconomics of his business, how he founded and pivoted Zerion Software to become an idea factory, how he embraces and nurtures new forms of software development such as vibe coding, and much more. Hosted by Perry Tiu.Episode Links:• Sze's LinkedIn: https://www.linkedin.com/in/szeywong• Sze's Website: https://www.szewong.com/• Zenith Venture Studio: https://www.zenithstudio.io/• Craft your world: Create a life worth living through entrepreneurship: https://www.amazon.com/Craft-your-world-through-entrepreneurship/dp/B0BCD4ZY3P—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 of Clocking Out, we meet Carla Stickler, a former Broadway actor who once brought Elphaba to life in Wicked and now writes code as a web engineer at Spotify.After landing her first big tour right out of college, Carla returned to New York expecting stardom. Only to find herself waiting tables, battling rejection, and facing the hard truth that talent alone doesn't guarantee success. That humbling chapter forced her ego to take a back seat and ultimately reshaped her definition of success.That shift in perspective made her not only more grounded but also a better colleague, and it led to a decade on stage. Landing big roles on Broadway and building a career many people dream about. But behind the curtain, the reality was far more complicated. The physical toll of performing eight shows a week mounted, and when Carla transitioned to teaching at the college level, she found herself struggling to inspire students to enter an industry she no longer felt supported by.Burnout, financial instability, and a deepening disillusionment led her to make a bold pivot: software engineering. With no tech background but plenty of grit, Carla enrolled in a coding bootcamp and discovered a surprising new outlet for her creativity. Today, she thrives in tech and champions artists looking to reinvent their careers. She proves that there's always overlap in every profession, no skill or experience is ever wasted. When you set your mind to it, you really can do anything.In this conversation, Carla reflects on ambition, ego, rejection, and what it means to let go of the dream you thought you had to chase. If you've ever questioned whether it's too late, or too risky, to start over. Carla's story is your proof that it's not. Tune in for a masterclass in reinvention.Connect with Carla at:TikTok: https://www.tiktok.com/@sticklercarla Instagram: https://www.instagram.com/sticklercarla/ LinkedIn: https://www.linkedin.com/in/carlastickler/Personal website: www.carlastickler.comCompany website: www.creators.spotify.comFollow Raymond: LinkedIn: Raymond LeeInstagram: @raymondlee.coTiktok: @clockingoutpodX: @hrentrepreneurYoutube: @clockingoutwithraymondleeClick Here to become a guest on Clocking Out

Jack Landry is a former Division I athlete and software engineer turned men's mindset and fitness coach. After working at companies like Fidelity and Amazon, he left the corporate world to pursue a more meaningful path—helping high-achieving men who feel unfulfilled create lives of purpose, discipline, and freedom. ⁣ Drawing from his own transformation through fitness, faith, and personal development, Jack now runs a thriving coaching business and creates inspiring content for his 70,000+ followers on Instagram. ⁣ His mission is to guide others in stepping into their God-given potential while building a strong foundation for their future—personally, spiritually, and professionally.

AirbnbのCEOがスタンフォード大学で話したプロダクト/デザイン/グロースの哲学を紹介しました。https://www.youtube.com/watch?v=V6h_EDcj12k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

Traditional headless browsers weren't built for AI agents, often breaking when web elements shift even slightly. Paul Klein IV, founder of Browserbase and its open-source tool Stagehand, is tackling this by creating a browser infrastructure designed specifically for AI control. On The New Stack Agents podcast, Klein explained that Stagehand enables AI agents to interpret vague, natural-language instructions and still function reliably—even when web pages change. This flexibility contrasts with brittle legacy tools built for deterministic testing. Instead of writing 100 scripts for 100 websites, one AI-powered script can now handle thousands.Klein's broader vision is a world where AI can fully operate the web on behalf of users—automating tasks like filing taxes without human input. He acknowledges the technical challenges, from running browsers on servers to handling edge cases like time zones and emojis. The episode also touches on Klein's concerns with AWS, which he says held a “partnership” meeting that felt more like corporate espionage. Still, Klein remains confident in Browserbase's community-driven edge.Learn more from The New Stack about the latest insights in AI browser based tools: Why Headless Browsers Are a Key Technology for AI Agents Ladybird: That Rare Breed of Browser Based on Web Standards Join our community of newsletter subscribers to stay on top of the news and at the top of your game.

Faaaaala Dev! Começamos a 7ª temporada do #FalaDev com um papo de peso, diretamente do nosso novo formato de áudio e também com vídeo!Nesta nova temporada você verá muito conhecimento técnico através de convidados super renomados no mercado tech. Bora!No episódio de estreia, o PV Faria, nosso host, recebe Fábio Vedovelli, Software Engineer, para uma conversa cheia de reflexões sobre tecnologia, carreira, inteligência artificial e arquitetura de software.Neste bate-papo, o Vedovelli compartilha sua trajetória desde os primórdios da web até a criação de seus próprios produtos com IA, além de trazer uma visão prática e apaixonada sobre o framework Remix / React Router 7, e como ele se tornou referência ao ensinar sobre tecnologias antes mesmo de virarem tendência.Se você curte conteúdo técnico, histórias reais de quem vive o mercado e dicas valiosas sobre evolução na carreira, esse episódio é para você.Dá o play e já se inscreve no canal, ein!Host: PV FariaConvidado: Fábio Vedovelli • X• Youtube• Curso React Router 7 + IAIndependente do seu momento de carreira e objetivos, temos o conteúdo ideal

Colab is cozy. But production won't fit on a single GPU. Zach Mueller leads Accelerate at Hugging Face and spends his days helping people go from solo scripts to scalable systems. In this episode, he joins me to demystify distributed training and inference — not just for research labs, but for any ML engineer trying to ship real software. We talk through: • From Colab to clusters: why scaling isn't just about training massive models, but serving agents, handling load, and speeding up iteration • Zero-to-two GPUs: how to get started without Kubernetes, Slurm, or a PhD in networking • Scaling tradeoffs: when to care about interconnects, which infra bottlenecks actually matter, and how to avoid chasing performance ghosts • The GPU middle class: strategies for training and serving on a shoestring, with just a few cards or modest credits • Local experiments, global impact: why learning distributed systems—even just a little—can set you apart as an engineer If you've ever stared at a Hugging Face training script and wondered how to run it on something more than your laptop: this one's for you. LINKS Zach on LinkedIn (https://www.linkedin.com/in/zachary-mueller-135257118/) Hugo's blog post on Stop Buliding AI Agents (https://www.linkedin.com/posts/hugo-bowne-anderson-045939a5_yesterday-i-posted-about-stop-building-ai-activity-7346942036752613376-b8-t/) 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)

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.

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.

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!

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.

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

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