Low-Code Won’t Replace You | Camunda’s Bernd Ruecker

Dev Interrupted

#Tech #LinearB #Development #Software #Software Development #Data #Agile #DevOps

32:48

America’s Sweethearts: Dallas Cowboys Cheerleaders is back for its second season! Kay Adams welcomes the women who assemble the squad, Kelli Finglass and Judy Trammell, to the Netflix Sports Club Podcast. They discuss the emotional rollercoaster of putting together the Dallas Cowboys Cheerleaders. Judy and Kelli open up about what it means to embrace flaws in the pursuit of perfection, how they identify that winning combo of stamina and wow factor, and what it’s like to see Thunderstruck go viral. Plus, the duo shares their hopes for the future of DCC beyond the field. Netflix Sports Club Podcast Correspondent Dani Klupenger also stops by to discuss the NBA Finals, basketball’s biggest moments with Michael Jordan and LeBron, and Kevin Durant’s international dominance. Dani and Kay detail the rise of Coco Gauff’s greatness and the most exciting storylines heading into Wimbledon. We want to hear from you! Leave us a voice message at www.speakpipe.com/NetflixSportsClub Find more from the Netflix Sports Club Podcast @NetflixSports on YouTube, TikTok, Instagram, Facebook, and X. You can catch Kay Adams @heykayadams and Dani Klupenger @daniklup on IG and X. Be sure to follow Kelli Finglass and Judy Trammel @kellifinglass and @dcc_judy on IG. Hosted by Kay Adams, the Netflix Sports Club Podcast is an all-access deep dive into the Netflix Sports universe! Each episode, Adams will speak with athletes, coaches, and a rotating cycle of familiar sports correspondents to talk about a recently released Netflix Sports series. The podcast will feature hot takes, deep analysis, games, and intimate conversations. Be sure to watch, listen, and subscribe to the Netflix Sports Club Podcast on YouTube, Spotify, Tudum, or wherever you get your podcasts. New episodes on Fridays every other week.…

about a year ago 45:30

MP3•Episode home

Ben and Andrew open the show by discussing the emergence of the DeepSeek AI model, Google's shakeup of the SEO landscape, and speculate on whether or not we're seeing the death of free APIs.
Then, Ben sits down with Bernd Ruecker, Co-Founder and Chief Technologist at Camunda, to explore how low code solutions are changing the game for developers. They discuss how these tools allow developers to focus on more complex challenges, and delve into the importance of understanding when to leverage low code versus custom solutions, and the evolving role of developers in a world increasingly driven by automation.
Finally, do us a favor and fill out the Dev Interrupted listener survey! You'll be our best friend forever :-)

Show Notes:

Dev Interrupted Survey
Beyond the DORA Frameworks Workshop (Jan. 29, 30)
Follow Ben
Follow Andrew
Follow Bernd
Learn more at: camunda.com
Camundacon 2025

Support the show:

Subscribe to our Substack
Leave us a review
Subscribe on YouTube
Follow us on Twitter or LinkedIn

Offers:

Learn about Continuous Merge with gitStream
Get your DORA Metrics free forever

233 episodes

Dev Interrupted

Low-Code Won’t Replace You | Camunda’s Bernd Ruecker

Dev Interrupted

85 subscribers

published about a year ago

MP3•Episode home

Show Notes:

Dev Interrupted Survey
Beyond the DORA Frameworks Workshop (Jan. 29, 30)
Follow Ben
Follow Andrew
Follow Bernd
Learn more at: camunda.com
Camundacon 2025

Support the show:

Subscribe to our Substack
Leave us a review
Subscribe on YouTube
Follow us on Twitter or LinkedIn

Offers:

Learn about Continuous Merge with gitStream
Get your DORA Metrics free forever

233 episodes

#Tech #LinearB #Development #Software #Software Development #Data #Agile #DevOps

All episodes

Dev Interrupted

1
The fundamentals of agent-driven software workflows 59:08

1 day ago59:08

59:08

You've bought the AI tools, but are you seeing the promised productivity gains? Join Dev Interrupted hosts Dan Lines and Ben Lloyd Pearson, as they break down the fundamental shift from AI coding assistants to intelligent, agentic systems. They discuss the key findings from their new guide, "The Six Trends Shaping the Future of AI-Driven Development," and challenge the common misconception that simply buying tools guarantees success by explaining why sustainable AI transformation depends less on better prompting and more on building better systems. Dan and Ben reveal the foundational pillars required for AI adoption, from creating unified knowledge sources to modernizing your infrastructure for agentic workflows. Learn why the future lies in moving from isolated tools to fully orchestrated systems where AI agents can reason and operate across the entire software delivery lifecycle. This episode offers a strategic playbook for engineering leaders aiming to build a successful and sustainable AI strategy for 2025 and beyond. Check out: Download: The 6 trends shaping the future of AI-driven development Workshop: The AI upgrade to your SDLC Follow the hosts: Follow Ben Follow Andrew Follow Dan Referenced in today's show: The Engineering Leadership Report 2025 MCP: An (Accidentally) Universal Plugin System OpenAI Leadership Responds to Meta Offers: ‘Someone Has Broken Into Our Home’ Grammarly to acquire email startup Superhuman in AI platform push Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
You’re not the user anymore | Layer’s Andrew Hamilton 49:00

8 days ago49:00

49:00

If you're still building products only for humans, you're already missing out on a massive new customer base: AI agents. Joining Dev Interrupted is Andrew Hamilton, co-founder and CTO of Layer (a first-of-it’s kind MCP agency) to unravel this monumental shift in how products will be discovered and consumed. He dives into how AI agents are rapidly evolving from developer tools to direct consumers of APIs and products, with new standards like the MCP spearheading this transformation by effectively creating an "app store for LLMs." This evolution demands a complete rethink of product design, packaging, and user experience for an entirely new kind of user. Andrew educates us about how successfully leveraging MCP isn't about a simple one-to-one API mapping, but about thoughtfully designing an "agent experience" based on key user workflows and providing pre-packaged capabilities. He shares insights on identifying good MCP candidates, the importance of experimentation in this fast-moving space, and how tools like Layer are defining the frontier of agent-accessible tooling. Check out: The DevEx guide to AI-driven software development Download: The 6 trends shaping the future of AI-driven development Follow the hosts: Follow Ben Follow Andrew Follow today's guest(s): LinkedIn: Andrew Hamilton Learn more about Layer: buildwithlayer.com Referenced in today's show: Google Cloud donates A2A to Linux Foundation Gemini CLI: your open-source AI agent Meta poaches OpenAI researchers Airtable as the AI-native app Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
Inside Amazon's AI video generator | Kabir Bedi 48:45

15 days ago48:45

48:45

What if creating a professional video for your business was as simple as a single click? We're joined by Kabir Bedi, Head of Product for Image and Video Generation at Amazon Ads, to discuss how generative AI is making that a reality. He provides an inside look at Amazon's mission to democratize video advertising, empowering everyone from mom-and-pop shops to large enterprises with their innovative video generator that evolved from simply showing products to showcasing them in realistic, multi-scene lifestyle settings. Kabir shares key insights into the engineering culture that powers this innovation, built on deep customer obsession and a dynamic, experimental mindset. He explains why bringing the entire team—including engineers and scientists—into direct conversations with users was a game-changer for their development process. Plus, listen as Kabir explains why a "learn and be curious" mindset is the key to thriving in this new landscape of AI-driven product development. Check out: The DevEx guide to AI-driven software development Download: The 6 trends shaping the future of AI-driven development Follow the hosts: Follow Ben Follow Andrew Follow today's guest(s): Follow Kabir on LinkedIn Learn more on the About Amazon Blog and the Amazon Ads Blog Referenced in today's show: Meta's $100M poaching project “Real strength is not in poaching rather it’s in growing, retaining and respecting the people you already have.” - Mohit Malik “Localhost tracking” explained. It could cost Meta 32 billion. Cursor’s Bold Hiring Playbook: No AI in Interviews, Just Real Projects and Real People Writing Toy Software Is A Joy Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
Google DeepMind's AI playbook for engineering at hyperspeed | Philipp Schmid 50:27

22 days ago50:27

50:27

What if the traditional engineering career path is being fundamentally rewritten by AI? We're joined by Philipp Schmid, Senior AI Developer Relations Engineer at Google DeepMind, to explore how artificial intelligence is not just a tool, but a force reshaping engineering roles, team dynamics, and the foundational methods of skill development. Philipp, with his background at Hugging Face and now at the cutting edge with Google DeepMind, offers a unique perspective on the rise of AI-native teams and engineers who learn faster, work more broadly, and drive innovation at an unprecedented scale. Philipp offers an inside look at Google DeepMind's engine of AI innovation and breaks down the key differences between Google's flagship Gemini models and the versatile Gemma family of open models, detailing their distinct purposes.We also touch upon exciting takeaways from the recent Google I/O event, including powerful new on-device capabilities and the mind-blowing text-to-video generation with Veo. Finally, Philipp shares practical advice for engineers and their organizations on navigating this AI-driven landscape, emphasizing continuous learning, an adaptable mindset, and how to effectively leverage a diverse AI toolkit to thrive. Check out: Download: The 6 trends shaping the future of AI-driven development Follow the hosts: Follow Ben Follow Andrew Follow today's guest: Twitter: @philschmid LinkedIn GitHub (philschmid) Learn more about Google DeepMind's models: Google AI Studio Referenced in today's show: OpenAI's latest partner: Mattel | LinkedIn I Read All Of Cloudflare's Claude-Generated Commits AI coding assistants aren’t really making devs feel more productive - LeadDev Congratulations on creating the one billionth repository on GitHub Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
AI is the future of the SDLC 35:44

29 days ago35:44

35:44

Imagine saving as much as 75 days of work within a six-month period, all through intelligent automation. Building on last week’s discussion about the critical shift from passive metrics to active productivity, host Ben Lloyd Pearson and LinearB co-founder Dan Lines now look forward to realities like this: 19% cycle time reduction and reclaiming significant engineering time. They move beyond common narratives surrounding AI to present actionable success stories and strategic approaches for engineering leaders seeking tangible results from their AI initiatives. This concluding episode tackles how to safely and effectively adopt AI across your software development lifecycle. Dan explains the necessity of programmatic rules and control, detailing how LinearB's gitStream technology empowers teams to define precisely when, where, and for whom AI operates. This ranges from AI-assisted code reviews with human oversight for critical services, to enabling senior developers to make judgment calls, and even automating merges for low-risk changes. Ben and Dan also explore the exciting future of agentic AI workflows, where AI agents could manage tasks from design and Jira story creation to coding and deployment, making developer control even more critical. Check out: The DevEx guide to AI-driven software development Survey: Discover Your AI Collaboration Style Follow the hosts: Follow Ben Follow Andrew Referenced in today's show: The Pentagon launched a military-grade Y Combinator, signaling that defense tech is officially cool on college campuses Japan Post launches 'digital address' system Reddit sues Anthropic for scraping My AI Skeptic Friends Are All Nuts Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
Now is the time to rethink engineering productivity 40:20

5 weeks ago40:20

40:20

Are your teams feeling the intense pressure to "produce more" in an era increasingly dominated by AI? Join hosts Ben Lloyd Pearson and Dan Lines as they unpack a major shift in how engineering organizations must now approach productivity. Dan reveals the urgent challenges he hears directly from CTOs and VPs, who are grappling with how to define their AI strategy for genuine productivity gain, accurately measure its true impact, and understand the resulting implications for their workforce. In this episode, Ben and Dan explore why traditional software engineering intelligence (simply having metrics and information) is no longer sufficient in 2025. Together, they explore productivity's nuanced meaning and discover how organizations can shift from passive data observation to an active improvement mindset, and get a look at what defines a developer productivity insights platform. Check out: Register for Beyond Copilot: What’s Next for AI in Software Development Survey: Discover Your AI Collaboration Style Follow the hosts: Follow Ben Follow Andrew Referenced in today's show: Why Your AI Coding Assistant Keeps Doing It Wrong, and How To Fix It As a developer, my most important tools are a pen and a notebook The problem with shadow development Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
The Odyssey of Innovation: Classics, Code, and Cognitive Load | Two Sigma's Matt Greenwood 52:52

6 weeks ago52:52

52:52

What can ancient languages and epic poems teach us about building resilient tech and future-proof teams? Host Andrew Zigler welcomes Matt Greenwood, Chief Innovation Officer of Two Sigma, for a conversation that uniquely blends their shared background in classical languages with over two decades of Matt’s experience at the forefront of financial technology. Matt unveils how this classical training has profoundly shaped his approach to building enduring innovation, fostering a resilient company culture, and leading with empathy. Matt explains his vision for building and evolving innovation via platforms, alongside his strategies for effective goal-setting and fostering deep conceptual understanding in his team. He offers invaluable lessons on the importance of forgiving the decisions of our past selves, adapting processes for evolving needs, and thoughtfully engaging with AI to augment human creativity. This conversation is a masterclass in strategic foresight, cultivating a constant hunger for learning, and building an adaptable organization ready for whatever the future holds. Check out: Beyond Copilot: What’s Next for AI in Software Development Survey: Discover Your AI Collaboration Style Follow the hosts: Follow Ben Follow Andrew Follow today's guest(s): Website: twosigma.com LinkedIn: Matt Greenwood Referenced in today's show: Google I/O Microsoft Build Code with Claude Java at 30: The Genius Behind the Code That Changed Tech Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
Redefining Ambition After Burnout | Zapier’s Kelly Vaughn 59:05

7 weeks ago59:05

59:05

What happens when the person trained to spot burnout becomes its next victim? Kelly Vaughn is a Senior Engineering Manager at Zapier, the author of the After Burnout Substack, and a trained therapist. She joins hosts Ben and Andrew to share her incredibly candid journey of discovering burnout in herself. Kelly reveals how she (despite her professional understanding of burnout's mechanisms) found herself deep in its grip, recounting the slow realizations like dwindling passion, increasing cynicism, and distinct physical tolls like disrupted sleep and a loss of hunger cues. This raw conversation offers vital lessons for anyone in a high-pressure career (and let’s face it: that’s all of us!). As the tech landscape accelerates with AI, Kelly shares insights on managing its pressures and opportunities. She redefines ambitions for herself alongside the non-negotiables she established for her own well-being when seeking her new role. Listeners will gain powerful insights into identifying their own limits, the courage for pivotal changes, and integrating new demands without self-sacrifice. Check out: AI Code Reviews: Automate AI code reviews for every PR Survey: Discover Your AI Collaboration Style Follow the hosts: Follow Ben Follow Andrew Follow today's guest(s): Personal Website: kvlly.com "After Burnout" Newsletter: afterburnout.co "The Modern Leader" Newsletter: modernleader.is Kelly’s Article: On burnout, quitting, and redefining what matters Referenced in today's show: The FAA has resorted to buying parts on eBay because its equipment is so old, Transportation Secretary Sean Duffy says 2025-05-11 air traffic control DOGE Is in Its AI Era IRS hopes to replace fired enforcement workers with AI Microsoft lays off about 3% of its workforce in what one executive calls a ‘day with a lo Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
Foresight Over Firefighting: Being Proactive in a Reactive World | Rootly's JJ Tang 44:02

8 weeks ago44:02

44:02

Still stuck in a reactive loop with incident response, only fixing problems after they happen? JJ Tang, Co-founder and CEO of Rootly, joins host Andrew Zigler to reveal how to shift beyond reactive, leveraging powerful AI and an often-underestimated skill in engineering: genuine customer empathy. Discover how these elements are crucial for navigating the complexities of modern infrastructure and shaping the future of incident management. JJ explores the forefront of incident response automation, discussing how to integrate shiny new tech like AI safely and why deep customer understanding is key to building trust and reliability. Learn about the common pitfalls leaders face, the cultural shifts needed for proactive reliability, and how teams can make our digital world safer. Check out: Beyond Copilot: What’s Next for AI in Software Development Survey: Discover Your AI Collaboration Style Follow the hosts: Follow Ben Follow Andrew Follow today's guest(s): LinkedIn: JJ Tang Website: rootly.com Referenced in today's show: OpenAI agrees to buy Windsurf for about $3 billion, Bloomberg News reports Amazon launches first Kuiper internet satellites, taking on Starlink Avoiding Skill Atrophy in the Age of AI Why developers and their bosses disagree over generative AI Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
The End of Specialization? How AI Shapes Modern Dev Teams | Vercel’s Lee Robinson 54:42

9 weeks ago54:42

54:42

Is front-end vs. back-end an antiquated way to structure engineering teams? With AI augmenting skills, a new model is emerging: the product engineer. This week, Andrew sits down with Lee Robinson, VP of Product at Vercel to crack open the future of the web. As a respected educator and voice in the webdev community ( check out his YouTube! ), Lee shares his unique perspective on building both cutting-edge tools and high-performing teams. As the VP of Product, Lee charts the evolution of developer roles and illustrates for us the rise of "product engineers" who own features end-to-end. Learn how AI tools are not just augmenting specialists but enabling designers, PMs, and founders to build "personal software." We also cover changing team dynamics and get Lee's advice on navigating the hiring process in the AI era, including: why personalization is key for candidates, how managers can spot authenticity (hint: AI-generated cover letters are obvious!) , and why building in public is critical for career growth today. Check out: Beyond Copilot: What’s Next for AI in Software Development Survey: Discover Your AI Collaboration Style Follow the hosts: Follow Ben Follow Andrew Follow today's guest(s): Website: leerob.com YouTube: @leerob LinkedIn: Lee Robinson Vercel: vercel.com Next.js: nextjs.org v0 by Vercel: v0.dev Referenced in today's show: This week in social, we noticed: AI Duolingo has an AI mandate too Google Just Launched an AI-Powered Duolingo Alternative Intel CEO announces layoffs, restructuring, $1.5 billion in cost reductions, expanded return to office mandate | Tom's Hardware Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
AI Gets Eyes and Ears | LiveKit’s Russ d’Sa 53:33

10 weeks ago53:33

53:33

We've spent decades teaching ourselves to communicate with computers via text and clicks. Now, computers are learning to perceive the world like us: through sight and sound. What happens when software needs to sense, interpret, and act in real-time using voice and vision? This week, Andrew sits down with Russ d'Sa, Co-founder and CEO of LiveKit, whose technology acts as the crucial infrastructure enabling machines to interact using real-time voice and vision, impacting everything from ChatGPT to critical 911 responses. Explore the transition from text-based protocols to rich, real-time data streams. Russ discusses LiveKit's role in this evolution, the profound implications of AI gaining sensory input, the trajectory from co-pilots to agents, and the unique hurdles engineers face when building for a world beyond simple text transfers. Check out: AI Code Reviews: An Engineering Leader’s Survival Guide Survey: Discover Your AI Collaboration Style Follow the hosts: Follow Ben Follow Andrew Follow today's guest(s): Website: livekit.io GitHub: github.com/livekit X: x.com/livekit Russ: x.com/dsa Referenced in today's show: The Rise of Slopsquatting: How AI Hallucinations Are Fueling a New Class of Supply Chain Attacks Has the VSCode C/C++ Extension been blocked? OpenAI tells judge it would buy Chrome from Google Chain-of-Vibes | Pete Hodgson Seattle crosswalk signals with deepfake Bezos audio may have been hacked with just a cellphone Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
The Shift to Agent-Driven API Consumption | Speakeasy’s Sagar Batchu 41:17

11 weeks ago41:17

41:17

Think building killer APIs like Stripe or Twilio is purely a technical feat? Think again. This week, we dive into why crafting successful APIs is fundamentally an organizational challenge, demanding internal excellence long before code is deployed. Sagar Batchu, co-founder and CEO of Speakeasy, joins us to unpack the crucial role of ownership, design principles, and why even internal APIs benefit from treating them like first-class products. Discover how Conway's Law dictates your API's fate and why achieving that coveted developer experience starts with your company's structure. Getting these foundations right is more critical than ever, as the landscape now faces a dramatic shift with the rise of LLMs and agentic AI. This potentially multiplies API usage and introduces the concept of "Agent Experience" (AX), demanding even greater rigor around clear standards, documentation, and metrics like "Time to First 200." Sagar also explores the emerging Model Context Protocol (MCP) and explains why focusing on developer productivity today prepares you for the AI-driven future of tomorrow. Check out: AI Features Demo: The Future of Productivity Is AI-Driven Survey: Discover Your AI Collaboration Style Follow the hosts: Follow Ben Follow Andrew Follow today's guest(s): Website: speakeasy.com LinkedIn: Speakeasy X: @speakeasydev Referenced in today's show: It costs nothing to be polite unless you're talking to ChatGPT - then it costs tens of millions Announcing the Agent2Agent Protocol (A2A) - Google Developers Blog A Deep Dive Into MCP and the Future of AI Tooling Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
How Marketing Ruined Shift Left | Semgrep’s Tanya Janca 48:52

12 weeks ago48:52

48:52

When it comes to securing software, most developers feel like they're playing catch-up instead of setting the rules. Tanya Janca (SheHacksPurple), author of "Alice and Bob Learn Secure Coding," brings her 28 years of IT and security expertise—spanning counter-terrorism to enterprise training—to Dev Interrupted. She unpacks the common pitfalls teams face when security is treated as an afterthought, highlighting the developer frustration of being held accountable for security without the tools or knowledge needed to succeed. Explore how transforming security from a final gate into an ongoing practice saves money, reduces conflict, and builds better software through clear requirements and true developer empowerment. Tanya provides concrete advice for developers and leaders on creating internal knowledge libraries, fostering continuous learning habits, and critically evaluating AI-generated code to ensure it meets security standards. Speaking of AI's growing role, we're curious how it's reshaping workflows across the industry. Share your own experiences with AI adoption by taking our quick survey to discover your spot on the adoption graph (and what you can do to level up). Check out: Beyond Copilot: Gaining the AI Advantage Survey: Discover Your AI Collaboration Style Follow the hosts: Follow Ben Follow Andrew Follow today's guest(s): Website: SheHacksPurple LinkedIn: Tanya Janca Book: Alice and Bob Learn Secure Coding Referenced in today's show: Shopify CEO says staffers need to prove jobs can’t be done by AI before asking for more headcount Anthropic flips the script on AI in education: Claude’s Learning Mode makes students do the thinking Celebrate 50 years of Microsoft with the company's original source code Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
How to Build AI Workflows You Can Trust | Infactory’s Brooke Hartley Moy 43:42

13 weeks ago43:42

43:42

Is your company rushing headlong into AI, only to find it's a 'square peg in a round hole'? This week, Andrew tackles the critical issue of building trust in AI systems with Brooke Hartley Moy, CEO and co-founder of Infactory. Brooke, with her experience at companies like Google and Samsung, cuts through the hype and reveals the biggest misconceptions businesses have about AI. We dive into the 'black box' problem, the importance of high-quality data, and why not all AI is created equal. From seating Matthew McConaughey in the rain to high-stakes medical decisions, we explore the crucial role of domain expertise and the need to move beyond LLM-centric thinking. If you're an engineering leader grappling with AI implementation, this episode is your essential guide to building trustworthy and impactful AI systems. Check out: The Future of Productivity Is AI-Driven Follow the hosts: Follow Ben Follow Andrew Follow today's guest(s): infactory.ai Brooke Hartley Moy Referenced in today's show: OpenAI declares AI race “over” if training on copyrighted works isn’t fair use Exploring Generative AI - Birgitta Böckeler AI is "tearing apart" companies, survey finds Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

1
Amazon Q and The Future of Autonomous Development | AWS' Adnan Ijaz 42:38

14 weeks ago42:38