Podcasts about Technical debt

As dental practitioners, you surely put your blood, sweat, tears and years into growing your practice. But do you invest enough capital into protecting your practice with robust IT and security systems? The latest episode of The Dental Economist Show uncovers the reality of dental security today and why 70% of dental practices are at risk of a security breach. Tune in to hear host Mike Huffaker and Tom Barberio, Chief Information Officer at Thinc Forward, chat about the evolving landscape of dental technology and IT security - from how practices can avoid common technology pitfalls and effectively plan for infrastructure updates to how they can leverage the shift to cloud-based solutions. This conversation highlights that dental technology is shifting from being a cost center to becoming a true business enabler.

What happens when a distinguished engineer who shaped the cloud-native landscape decides to retire at 42? Kelsey Hightower, a pivotal figure in the Kubernetes community and former Google engineer, shares brutally honest insights from his 25-year journey. This isn't a conversation about the next hype cycle; it's a masterclass in the timeless principles of infrastructure, maintenance, and technical strategy. From the fallacy of technology replacement to the hard business realities that should drive engineering decisions, Kelsey provides a minimalist's guide to navigating complexity. Learn why most companies should embrace managed services, why engineers who can't link commits to revenue are at risk, and what the future of AI really means for the systems we build and maintain. Technical insights for CTOs and engineering leaders: -

In this insightful episode of SaaS Fuel, host Jeff Mains is joined by Mary Moore Simmons, VP of Engineering at Kibo. Together, they dive into the realities of building and scaling high-performing engineering teams, especially in fast-growth SaaS environments. Mary unpacks the nuanced challenges of evolving organizational processes, cultivating feedback-rich and psychologically safe cultures, handling “brilliant jerks,” and integrating AI to reduce grunt work and boost developer creativity. Tune in for a practical playbook on scaling teams, optimizing ways of working, and navigating technical debt as a business strategy, not just a developer's gripe.Key Takeaways[00:00:00] Feedback-Fueled Leadership: Mary's greatest fear as a leader is not knowing where she or her team might be going wrong—emphasizing feedback as the antidote to blind spots and organizational toxicity.[00:04:53] Process Check: When engineering processes feel slow or clunky as you scale, it's a sign to revisit and adapt. The right process should always speed teams up, not slow them down.[00:06:52] Culture First Hiring: Early hiring mistakes often relate to compromising on culture or failing to address culture misfits as teams grow. Brilliant jerks cost teams more in the long run, even if they are individually productive.[00:14:50] Handling Exits with Transparency: Delivering clear expectations and feedback means no one is surprised by tough decisions; transparent communication helps maintain trust when high-performers are let go for culture reasons.[00:20:38] Normalizing Feedback: Build an environment where feedback is everyday and safe—not just a scary signal of things going wrong. Celebrate when people speak up early and often.[00:27:00] AI Adoption: AI tools are powerful but still come with learning curves. Early adoption requires empathy and encouragement, especially in startups, and the biggest impact comes from knowledge sharing among engineers.[00:44:44] Technical Debt as Strategy: Make the business case for addressing technical debt—frame it with impact, not just engineering complaints, to get real buy-in from business leadership.Tweetable Quotes"My greatest fear as a leader is that I'm messing everything up and no one's telling me because they're too afraid." — Mary Moore Simmons"Process should always be speeding people up, not slowing them down." — Mary Moore Simmons"Hiring a brilliant jerk might make you faster today, but it will drag your team tomorrow." — Mary Moore Simmons"Feedback should be constant and small—don't let it become a scary event." — Mary Moore Simmons"Technical debt is not a developer gripe. It's a strategic conversation with real business impact." — Jeff Mains"AI tools double my speed, but they can also take me ten times in the wrong direction if I'm not paying attention."— Mary Moore SimmonsViral Topic: Amplifying Teams with AI"It's less about automation and more about amplification so if you're building a team, evolving your culture, or just trying to make scaling a little less chaotic, this episode has the clarity you didn't know you needed." — Jeff MainsAI & Automated Testing: "without automated testing, everything breaks. And I've experienced that. I think probably a lot of other founders have experienced that." — Jeff MainsSaaS Leadership LessonsLead with Feedback Openness: Proactively create a culture where feedback is routine, safe, and celebrated—not something to fear.Prioritize Psychological Safety: The best innovation happens when team...

Neste episódio do Fronteiras da Engenharia de Software, Daniel Feitosa (Professor Assistente na Universidade de Groningen) conversou com Adolfo Neto (UTFPR) e Maria Claudia Emer (UTFPR) sobre gerência de dívida técnica. Página do Daniel Feitosa: https://feitosa-daniel.github.io/ CV Lattes: http://lattes.cnpq.br/5596435172279164 Google Scholar: https://scholar.google.com/citations?user=b4SXLNEAAAAJOs artigos discutidos no episódio foram:“PairSmell: Uma Nova Perspectiva para Inspecionar a Estrutura Modular de Software”C. Zhong, D. Feitosa, P. Avgeriou, H. Huang, Y. Li, H. Zhang. "PairSmell: A Novel Perspective Inspecting Software Modular Structure," in Proceedings of the IEEE/ACM 47th International Conference on Software Engineering (ICSE '25). 2025. (distinguished paper award) https://arxiv.org/abs/2411.01012 “Automatizando a Gestão da Dívida Técnica: Percepções a partir de Discussões de Profissionais no Stack Exchange.”J.P. Biazotto, D. Feitosa, P. Avgeriou, E.Y. Nakagawa. "Automating Technical Debt Management: Insights from Practitioner Discussions in Stack Exchange," in proceedings of the 8th ACM/IEEE 8th International Conference on Technical Debt (TechDebt '25). https://arxiv.org/abs/2502.03153 Resumo em Moonlight: https://www.themoonlight.io/fr/review/automating-technical-debt-management-insights-from-practitioner-discussions-in-stack-exchange "Automação da Gestão da Dívida Técnica: Estado da Arte e Perspectivas Futuras"J.P. Biazotto, D. Feitosa, P. Avgeriou, E.Y. Nakagawa. "Technical debt management automation: State of the art and future perspectives," Information and Software Technology, 167:107375. 2024. https://doi.org/10.1016/j.infsof.2023.107375 "O ciclo de vida da Dívida Técnica que se manifesta tanto no código-fonte quanto nos rastreadores de problemas"J. Tan, D. Feitosa, P. Avgeriou. "The lifecycle of Technical Debt that manifests in both source code and issue trackers," Information and Software Technology, 159:107216, 2023. https://doi.org/10.1016/j.infsof.2023.107216 Links:Dagstuhl Perspectives Workshop em "Reframing Technical Debt"https://www.dagstuhl.de/seminars/seminar-calendar/seminar-details/24452 CBSOFT 2025 https://cbsoft.sbc.org.br/2025 SE4FP 2025 https://se4fp.github.io/2025/ ICSE 2026 https://conf.researchr.org/home/icse-2026 Página do podcast: https://fronteirases.github.io/Coordenador do podcast: Adolfo Neto https://adolfont.github.io/

As health systems intensify efforts to modernize infrastructure, the risks associated with technical debt, fragmented applications, and over reliance on cloud and AI tools are becoming more pronounced. For Darrell Keeling, PhD, Senior Vice President of IT and CISO at Parkview Health, navigating this minefield requires not only technical insight but also business acumen and […] Source: Technical Debt Must be Tackled, but Cloud & AI Bring their Own BCP Challenges, Says Parkview Health CISO on healthsystemcio.com - healthsystemCIO.com is the sole online-only publication dedicated to exclusively and comprehensively serving the information needs of healthcare CIOs.

What happens when two experienced CTOs sit down to debunk the latest tech trends? Raz Schweiger-Shuty, CTO at auxmoney, joins Tobi for an unfiltered discussion about the hypes, myths, and wastes of resources that plague modern tech companies. After taking over a 17-year-old fintech platform with no prior CTO, Raz made controversial decisions that flew in the face of conventional wisdom: stopping a microservices migration, questioning Kubernetes adoption, and focusing on measurable business value over engineering trends. His ""dinosaur CTO"" perspective offers a refreshing antidote to tech hype. This conversation cuts through the noise with practical insights on: •

How do I eliminate technical debt? Why does every company have so much technical debt? Why don't developers focus more on writing good, clean code? These are the questions we will answer in today's episode of Dev Questions.Website: https://www.iamtimcorey.com/ Ask Your Question: https://suggestions.iamtimcorey.com/ Sign Up to Get More Great Developer Content in Your Inbox: https://signup.iamtimcorey.com/

Enterprises face one common problem: the hidden costs of AI-based technical debt.“There's a lot of hype around AI, but many initiatives aren't founded in a business value proposition,” says Paul Brownell, CTO, Growth Acceleration Partners (GAP). “People wander in without an intentional path for ROI.” In this episode of the Don't Panic, It's Just Data podcast, host Douglas Laney, BARC Research and Advisory Fellow, and author of Infonomics and Data Juice, speaks with Paul Brownell from GAP and Frank Lavigne, Advisory Board Member of CloudArmy.The speakers ultimately agree that AI promises greater returns on investment (ROI). However, it's imperative to note – without a strong data foundation and strategy, AI can quickly turn into a financial nightmare.AI's Potential to Cause Technical Debt Alluding to a significant “leak in the bucket” for AI initiatives, Brownell says, "a lot of these projects aren't founded in a business value proposition." This can often lead to organisations "wandering in without an intentional path." Both Brownell and Lavigne agreed that the most overlooked and costly area is data engineering. Lavigne exemplified this by referring to a meme depicting a sleek F-35 jet labelled "your AI" flying above a pockmarked, potholed road labelled "your data infrastructure.""I think that pretty much says it all," Lavigne stated, highlighting the critical and often unglamorous role of data engineering. Brownell resonated with this, calling it "mundane, routine, detail, hard pick and shovel work."Without mighty data quality, data governance, and traceability, AI projects are built on unsteady ground. Such AI initiatives occasionally result in inaccuracies and create a lack of trust.Scientific Path to AI Initiatives in DataBrownell advocated for a scientific approach to AI initiatives to overcome the hidden costs and maximise ROI. He said, "Come up with a hypothesis around where the business value is going to be, then apply some prototyping. Do real-life experiments to prove out your theory." Such an approach allows organisations to adjust course quickly. "The larger the ship, the harder it is to turn. So if you have these smaller kinds of proofs of concept, you can kind of find out in smaller increments how far we're off course,” explained Lavigne. This lowers risk and paves the way for more experimentation.TakeawaysAI investments can create hidden financial burdens.Data readiness is crucial for successful AI initiatives.A hypothesis-driven approach can guide AI projects.Iterative experimentation leads to better outcomes.Data engineering is essential but often overlooked.Generative AI can assist in data pipeline management.Selecting AI tools requires flexibility and speed.Purpose-built AI models may outperform generative models.Organisations must foster a culture of continuous learning.Understanding the total cost of ownership for AI is vital.Chapters00:00 Uncovering AI Technical Debt04:56 Data Readiness for AI Initiatives09:55 Selecting the Right AI Tools13:06 Generative AI vs Predictive AI18:14 The Future of AI Development

I ran across an article on the 7 types of tech debt that can cripple your business, which is a great title. It certainly is one that might scare a lot of CTOs/CIOs/tech management. I am sure that much of the IT management gets concerned on a regular basis with how quickly their staff can evolve their software to meet new business needs. The first two items have to do with data, which is understandable. Data is the core of how many organizations operate and move forward, and if you don't have the ability to easily work with data in a flexible way, you can struggle. Many of us technical people know this, but I find many non-data-professional staffers don't get this and are often unwilling to work at improving the situation. They things to just be magically better without changing how they do their jobs. Read the rest of The Technical Debt Anchor

The physical world is becoming digital—and it requires fundamentally different technical architecture than traditional IT systems. Bernd Groß leads technical leaders through the evolution from enterprise software to industrial IoT, where real-time data from 30,000 wind turbines and millisecond-level decision-making define system requirements. As co-founder and CEO of Cumulocity, Bernd has navigated one of tech's most complex domains: connecting industrial hardware through standardized platforms. His journey from Nokia's early cloud computing initiatives to building Germany's leading IoT platform offers unique insights on technical leadership in physical-digital convergence. Technical leaders will gain valuable perspectives on: •

If your organization is burdened with technical debt, it's not a matter of if something will go wrong—it's a matter of when. In this episode, we sit down with Yuri Kolesnikov to explore one of the most persistent and often overlooked challenges in the tech industry. From fast-moving startups to well-established enterprises, technical debt can slow progress, increase costs, and undermine product quality. Yuri shares his insights on the root causes of technical debt, the impact it has on teams and systems, and practical strategies for managing, mitigating, and preventing it. With deep experience building scalable, resilient architectures from the ground up, Yuri brings a wealth of real-world knowledge to the conversation. Most recently, he served as Head of IT at Skydio, the leading U.S. drone manufacturer and a global pioneer in autonomous flight. Whether you're a startup founder, engineering leader, or just curious about how to build for long-term success, this is a conversation you won't want to miss.

Melanie Sumner: Why Continuous Accessibility Is a Strategic AdvantageMelanie Sumner, Product Accessibility Lead for Design Systems at HashiCorp, joins Robby to talk about what it takes to scale accessibility across legacy products—and how aligning design and engineering processes creates lasting change. Melanie shares her work making Ember.js more accessible, her team's philosophy behind their design system, and why she treats accessibility like any other technical concern.From the pitfalls of nested interactive elements to the strengths of Ember's conventions and codemods, this conversation offers a roadmap for integrating accessibility into every layer of product development.Melanie also reflects on why she trademarked the term Continuous Accessibility, how it fits into product lifecycles, and what other frameworks can learn from the Ember community's approach.“Accessibility is a technical problem with a technical solution.”Melanie joins us from Chicago, Illinois.Episode Highlights[00:01:00] What Well-Maintained Software Looks Like: Consistency, purpose, and bridging design and engineering[00:02:30] Building a Unified Design System Across 10+ Legacy Products[00:03:30] Creating Component Requirements Before Design or Code[00:05:00] Designing with Accessibility Defaults—and Providing Bridges for Legacy[00:07:00] How Ember's Conventions Help Scale Front-End Systems[00:09:30] Who Uses Ember—and Why It's a Fit for Teams with Big Requirements[00:13:30] Technical Debt in Design Systems and the Cost of Rushing[00:16:30] How They Future-Proof Components and Avoid Over-Engineering[00:19:00] What “Continuous Accessibility” Means in Practice[00:21:00] Accessibility Testing and the Limits of Automation[00:23:00] Common Accessibility Mistakes: Nested Interactives and Misused DIVs[00:24:30] Keyboard Navigation as a Litmus Test[00:26:00] Text Adventure Games and Accessibility as a Playable Experience[00:28:30] The Origin of Her Accessibility Journey at UNC Chapel Hill[00:31:00] Why She Avoids Framing Accessibility in Emotional Terms[00:32:45] Compliance as a Business Driver for Accessibility[00:35:00] Open Source Work on Testing Rules Across Frameworks[00:38:00] The Navigation API and Fixing Single-Page App Accessibility[00:40:30] HTML's Forgiveness and the Illusion of “Good Enough”[00:43:00] Advice for Engineers Advocating for Accessibility Without Authority[00:46:45] Book Recommendation: Cradle Series by Will Wight[00:48:30] Where to Follow Melanie: melanie.codesLinks and ResourcesMelanie's WebsiteHelios Design System at HashiCorpCradle Series by Will WightEmber Community SurveyA11y Automation GitHub ProjectAxe-coreFollow Melanie:GitHubLinkedInThanks to Our Sponsor!Turn hours of debugging into just minutes! AppSignal is a performance monitoring and error-tracking tool designed for Ruby, Elixir, Python, Node.js, Javascript, and other frameworks.It offers six powerful features with one simple interface, providing developers with real-time insights into the performance and health of web applications.Keep your coding cool and error-free, one line at a time! Use the code maintainable to get a 10% discount for your first year. Check them out! Subscribe to Maintainable on:Apple PodcastsSpotifyOr search "Maintainable" wherever you stream your podcasts.Keep up to date with the Maintainable Podcast by joining the newsletter.

Publics Sapient has been named a Horizon 3 Market Leader for a second time in the HFS Generative Enterprise Horizon report. In this episode of HFS Unfiltered Stories, HFS Executive Research Leader David Cushman and Publicis Sapient's EVP and CPO Sheldon Monteiro discuss how the firm's 'non-conflicted' approach helps enterprises break free from legacy constraints—accelerating their ability to embrace AI at scale. Publicis Sapient wasn't built to maintain the legacy world but to transform it fundamentally. With new strategies, up to 80% of the effort is being redirected from maintenance to innovation—empowering organizations to build industrial-grade AI platforms grounded in enterprise standards, security, industry expertise, and contextual intelligence. Access the full report on HFS Horizons: Generative Enterprise Services, 2025: https://www.hfsresearch.com/research/hfs-horizons-generative-enterprise-services-2025/

Questions? Feedback? Send us a text!In this episode, host Joe Gottlieb welcomes Matthew Gunkel, Chief Information Officer at the University of California, Riverside. Matt shares how his team partnered with finance to tackle long-standing technical debt and drive meaningful digital transformation at UCR.Listeners will learn how thoughtful collaboration, strategic planning, and a shared commitment to innovation helped a resource-constrained institution modernize its application ecosystem, transition to cloud infrastructure, and embrace AI in ways that support student success and operational efficiency. Matt's insights offer a compelling look at what's possible when IT and finance unite around a common purpose: recovering from technical debt to create better outcomes for both students and the institution. References: Matthew GunkelUniversity of California, RiversideSubscribe or follow TRANSFORMED wherever you listen, to get the latest episode when it drops and hear directly from leaders and innovators in higher ed tech and digital transformation best practices.Find and follow us on LinkedIn at https://www.linkedin.com/company/higher-digital-inc

BONUS: Zach Goldberg shares how to build high-performing engineering teams and master the startup CTO role In this BONUS episode, we dive deep into the world of startup leadership with Zach Goldberg, author of The Startup CTO's Handbook. We explore the critical transition from engineering to leadership, the art of balancing technical debt with startup urgency, and the communication skills that separate great CTOs from the rest. The Genesis of The Startup CTO's Handbook "My original training in software engineering was not enough for being a leader. All the people and leadership skills, I had to learn on my own." Zach's journey to writing The Startup CTO's Handbook began with a stark realization about the gap between technical training and leadership reality. Despite his classical software engineering background, he discovered that the people and leadership skills required for CTO success had to be self-taught. The book emerged from a growing Google Doc of topics and frameworks addressing the leadership and management challenges that CTOs consistently face - from hiring and performance management to making strategic decisions under pressure. Today, we can either buy the digital/print book on Amazon, or read the book on GitHub.  In this segment, we also refer to the book The Great CEO Within. Learning to Truly Learn: The Max Mintz Story "Max only cared about my ability to learn - to get curious about something hard. He wanted to help me deal with complexity." Zach opens his book with a deeply personal story about his mentor, Max Mintz, who fundamentally changed his approach to learning during what he calls "the most impactful single coffee" of his life. Over 1.5 years of conversations, Max taught him that true learning isn't about accumulating facts, but about developing curiosity for hard problems and building the capacity to handle complexity. This lesson forms the foundation of effective CTO leadership - the ability to continuously learn and adapt in an ever-changing technical landscape. The Three Critical CTO Mistakes "As a CTO, the most important 3 things: people, people, people. Do the people have the right energy, the right passion? Assemble the right team." Zach identifies consistent patterns in startup CTO failures across his experience. The first and most critical mistake is undervaluing people decisions - failing to prioritize team energy, passion, and the right assembly of talent. The second category involves investment mistakes, particularly the challenge of balancing short-term survival needs with long-term technical goals. In startups, the ROI timespan is exceptionally short, requiring optimization for immediate objectives rather than hypothetical scale. The third mistake is treating technology as religion rather than tools, losing sight of what the business actually needs. Optimizing for Velocity and Developer Experience "You are optimizing for velocity! What are you doing to help developers get their work done? Look at developer experience as a metric." Successful startup CTOs understand that velocity - the time from idea to valuable market delivery - is paramount. This requires a fundamental shift in thinking about technology decisions, focusing on features that deliver real customer value rather than technical elegance. Zach emphasizes measuring developer experience as a key metric, recognizing that anything that helps developers work more effectively directly impacts the company's ability to survive and thrive in competitive markets. The Professional Skill Tree Concept "It's like a character progression in an RPG. When we learn one type of skills, we don't learn other types of skills. We make investments every day and we have a choice on where we learn." Drawing from gaming metaphors, Zach explains how technical professionals often reach Level 100 in engineering skills while remaining Level 1 in management. The skill tree concept highlights that every learning investment is a choice - time spent developing one skill area means less time available for others. For engineers transitioning to leadership, the key is recognizing opportunities to serve as tech leads, where they can begin setting culture and quality standards while still leveraging their technical expertise. Balancing Kaizen with Startup Urgency "Pick the high-impact debt, and pay that down. This is not always easy, especially because we also need to pick what debt we don't invest on." The tension between continuous improvement and startup speed requires sophisticated thinking about technical debt. Using financial analogies, Zach explains that technical debt has both principal and interest components. The key is identifying which debt carries the highest interest rates and can be paid down most quickly, while consciously choosing which debt to carry forward. This approach maintains the healthy tension between quality and speed that defines successful startup engineering. The Power of Audience Empathy "The single hardest skill, especially for very tech leaders is that of 'audience empathy.' When you explain ideas to people, you usually assume a lot - but they might not." According to Zach, the most undervalued communication habit for startup tech leaders is developing audience empathy. Technical leaders often suffer from the curse of knowledge, assuming their audience shares their context and understanding. The solution requires deliberately considering what the audience already knows before crafting any communication, whether it's explaining technical concepts to non-technical stakeholders or providing clear direction to team members. In this segment we refer to the concept of “the curse of knowledge”, a cognitive bias that occurs when a person who has specialized knowledge assumes that others share in that knowledge. About Zach Goldberg Zach Goldberg is a seasoned technical entrepreneur, executive coach, and author of The Startup CTO's Handbook. With a founder's mentality and a passion for systems thinking, Zach helps engineering leaders build high-performing teams. He also founded Advance The World, a nonprofit inspiring youth in STEM through immersive experiences. You can link with Zach Goldberg on LinkedIn, and visit Zach's website at CTOHB.com.

Send us a textWelcome to the Salesforce Hiring Edge, hosted by Josh Matthews and co-host Josh LeQuire. In this powerful episode, we break down exactly what it takes to hire the right Salesforce SI (System Integrator) partner — and why making the wrong choice could cost you your career.From uncovering the #1 factor in Salesforce implementation success (spoiler: it's client engagement), to red flags in partner pitches, to protecting your investment through smart, small-bite projects — this conversation is a goldmine for any leader navigating the Salesforce ecosystem.

CTO Series: Jussi Mononen on the Human Side of Software Development and Technical Leadership In this CTO Series episode, we explore the intersection of technology and people with Jussi Mononen, CTO of CarbonLink. Drawing from his extensive experience as an Agile practitioner and technical leader, Jussi shares valuable insights on effective software development, technical strategy alignment, and the critical human elements that drive successful technology implementations. The Transformative Power of Agile "It's all about people." Jussi's journey as a technology leader was fundamentally shaped when he discovered Agile methodologies. Coming from a background of waterfall-like approaches to software development, the introduction of Agile principles opened up a broader perspective that transformed his view of the profession. What began as technical work creating billing software evolved into a deeper understanding of the collaboration challenges in problem-solving. This shift helped Jussi develop a more humanistic and holistic approach to software development, recognizing that the human dynamics are often more complex than the technical challenges themselves. Every line of code eventually becomes a liability, as software is maintained over decades Software is only truly "done" when you remove the plug and it no longer exists Direct communication with customers is essential for understanding the real problems that need solving Balancing Technical Strategy with Business Needs "Be careful what you choose in terms of technology as you need to maintain it forever—hopefully." Creating a technical strategy that aligns with business objectives while remaining adaptable requires careful consideration of both immediate and long-term factors. Jussi emphasizes the importance of considering maintainability over a decade-long horizon while organizing technology stacks that don't limit organizational agility. When selecting technologies, consider whether you can find people already familiar with your tech stack Evaluate whether your technology choices allow you to fulfill the responsibilities your customers pay you to handle Be prepared to abandon technologies that aren't working, despite the sunk cost Structure your technical organization to maximize speed and adaptability Fostering Collaboration Between Tech and Business "It's not about 'who wins,' it's about making good decisions." Effective collaboration between technical and business units is built on foundations of respect and trust. As a self-described optimist about humanity, Jussi approaches cross-functional work by giving respect to colleagues and trusting them to make sound decisions within their domains of expertise. Listen carefully to people and make a genuine effort to understand their perspectives Focus on making well-considered decisions rather than striving for theoretical "best" decisions Remember that people develop software, not processes or tools—maximize each team member's potential Create environments where differing viewpoints are valued as inputs to better decision-making Strategic Roadmapping and Adaptability "We constantly seek information about what might be changing." Maintaining a clear vision of the future while remaining adaptable is a critical balancing act for technology leaders. Jussi's approach involves maintaining a rolling two-quarter roadmap that provides directional clarity while incorporating new information and signals from various sources. Review and revise roadmaps weekly to incorporate new information Use tools like Trello to maintain lists of priorities and possibilities Actively seek diverse signals about changing requirements and technologies Use the roadmap to communicate investment priorities to stakeholders like the board Overcoming Complex Technical Challenges "Someone needs to give enough love to the items in the backlog." The most significant challenge in Jussi's career came during a 4.5-year project reimplementing critical university systems that had been in use for over 20 years. This complex undertaking highlighted the importance of people skills alongside technical capabilities when managing diverse stakeholders with conflicting needs. Be prepared to handle conflicting needs and requirements from different stakeholders Establish a shared direction before attempting to solve detailed technical challenges Recognize that many critical challenges in large projects are about people, not technology Give proper attention to backlog items to ensure they receive the consideration they deserve Leadership Philosophy and Learning "Choose the context more accurately. Involve yourself with people you look up to." Rather than pointing to a single book that influenced his approach to technical leadership, Jussi emphasizes the importance of context and learning from those around you. His leadership philosophy centers on carefully selecting environments with admirable people and absorbing knowledge through direct experience and observation. Understand the specific context you're operating in before applying generic principles Surround yourself with people whose approach and values you respect Learn continuously from the practical experiences of peers and colleagues About Jussi Mononen Jussi is a problem solver, programmer and business-to-technology translator. People side of software systems development, as he often says: "it's all about people".He has both tech and people street cred, being a long time Agile practitioner, and now the CTO of a promising scale-up in Helsinki: CarbonLink. You can link with Jussi Mononen on LinkedIn.

How To Defeat The 3 Most Common Arguments Against Technical DebtI once worked on a project where we weren't able to think about technical debt until five years in.Like many startups, we had to hustle to get off the ground. In those initial years, we didn't have much time or capacity to even think about addressing the debt we accumulated.And did it ever accumulate.How to connect with AgileDad:- [website] https://www.agiledad.com/- [instagram] https://www.instagram.com/agile_coach/- [facebook] https://www.facebook.com/RealAgileDad/- [Linkedin] https://www.linkedin.com/in/leehenson/

In this episode of Autonomous IT, Live!, Landon Miles hosts leads a three-part discussion focused on spring cleaning your IT systems, workflows, and personal well-being. You'll hear candid, practical insights from IT professionals tackling burnout, technical debt, and infrastructure hygiene head-on.This live show originally aired April 16, 2025  

Join G Mark Hardy in this eye-opening episode of CISO Tradecraft as he shares a personal story about his dog Shelby's near-fatal experience and the costly lesson it taught him about technical debt. Discover how small overlooked issues in cybersecurity can compound and lead to significant risks and learn actionable steps to tackle technical debt before it turns into a crisis. Pictures of Dog https://drive.google.com/file/d/1nBc9e3bBJVW0BQt5inGryhP3ahBz4XsQ/view?usp=drive_link  https://drive.google.com/file/d/12V_DuwhgNBKgxJL0yqNq9Fopa4dauJfd/view?usp=drive_link Transcripts https://docs.google.com/document/d/1-_X_9RQrurOLKRvbXyMjgbygESsabcCK  Chapters 00:21 Welcome to CISO Tradecraft 00:36 RSAC 2025 Conference Experience 01:22 Shelby's Health Scare 02:08 Understanding Technical Debt 02:41 The Consequences of Technical Debt 04:09 Shelby's Story as a Technical Debt Analogy 09:28 Lessons Learned from Shelby's Story 13:09 Conclusion and Call to Action

In this episode, Tobi chats with Adam Schuck, Senior Engineering Director at Canva, a company that has scaled to over 5,000 employees, 2,000+ engineers, and 230 million MAUs while remaining profitable. Adam shares his journey through startups (including acquisitions by Twitter and Canva) and large tech companies like Google, leading to his current role managing 220 engineers at Canva. They dive deep into the challenges and strategies behind Canva's hypergrowth, including:

Ever been in a meeting where an executive decrees: "Engineering needs to go faster!" without any nuance or understanding of the underlying issues?What a coincidence - so have we!!!Listen or watch as Product Manager Brian Orlando and Enterprise Business Agility Coach Om Patel discuss this common yet problematic demand. Join us as we unmask deeper organizational issues, explore how to respond to this request, and discuss the potential causes, constraints, and solutions.Whether you're in engineering, product management, or leadership, this episode provides practical insights for addressing the "go faster" demand in ways that deliver business value quickly, under budget, and right on-time!#EngineeringLeadership #ProductManagement #AgileTeamsREFERENCESGood Strategy/Bad Strategy, by Richard Rumelt (book)Arguing Agile #185 "What Companies Do Instead of Strategy"Arguing Agile #103 "Challenges to Building Product Roadmaps"Inspired, by Marty Cagan (book)LINKS YouTube: https://www.youtube.com/@arguingagileSpotify: 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)

In this episode of the Tyler Tech Podcast, we examine how the evolving tech landscape, AI adoption, and changing organizational demands are reshaping state and local government.Guest host Bob Ragsdale, director of analyst relations at Tyler, sits down with Dustin Haisler, president of e.Republic, for a forward-looking conversation on the trends shaping public sector innovation. Drawing from his insights at the Center for Digital Government's Beyond the Beltway conference, Dustin explores how governments are managing technical debt, building enterprise technology strategies, and adapting to emerging tools and innovations shaping public sector operations.Dustin also discusses how agencies can embrace continuous improvement, foster a culture of innovation, and meet rising expectations from residents. From workforce reskilling to the importance of data governance and enterprise solutions, this episode is full of practical guidance for public sector leaders charting a course through uncertainty.Tune in to hear how IT leaders and mission owners alike can seize this moment to reimagine service delivery — and why there's never been a more exciting time to work in government.This episode also highlights Tyler Connect 2025, our annual conference designed to bring public sector professionals together to empower, collaborate, and imagine. Join us in San Antonio, Texas, from May 11-14, 2025, for product training, networking, and inspiration to help drive your organization forward. Early registration is now open — visit tylertech.com/connect to secure your spot!Blog: Let's Empower, Collaborate, and Imagine at Connect 2025!And learn more about the topics discussed in this episode with these resources:Download: Building a Resilient GovernmentDownload: A Digital Guide to Modernizing the Resident ExperienceDownload: Revolutionizing the Government Workforce With AIDownload: Digital Access and Accessibility in the Resident ExperienceDownload: How to Create a Unified Digital Payment ExperienceBlog: Partnering With Communities to Build ResilienceBlog: Increase Community Resilience With Modern Payment SystemsBlog: How Cloud-Based Solutions Expand Access to State ServicesListen to other episodes of the podcast.Let us know what you think about the Tyler Tech Podcast in this survey!

Wie geht man die Quartals- und Jahresplanung an und balanciert verschiedene Anforderungen?Für viele ist es ein langweiliges und notwendiges Übel. Für andere die beste Zeit des Jahres - Die Quartals- bzw. Jahresplanung. Firmen lieben es zu planen. Firmen lieben es, den Kunden neue Features zu versprechen. Produktmanager können endlich alles in die nächsten 3 Monate einordnen, dann wird das gemacht und die Welt ist wieder in Ordnung.Am Ende des Quartals fragt man sich dann aber: Wieso hat das alles so lange gedauert? Wieso haben wir für Feature X 2 Wochen geplant, aber es wurden 6 Wochen draus? Wieso werden wir bei der Software-Entwicklung langsamer und nicht schneller? Das ist ein bekanntes Bild in vielen Firmen, denn oft findet die Stimme der Software-Entwickler*innen keinen Platz in der Planung.Technical Debt abbauen? Machen wir nächstes Quartal. Was für die eigene Team-Produktivität tun, um manuelle Aufgaben zu automatisieren? Das lohnt sich nicht. Kleine Bugs, sogenannte Papercuts, fixen um die Power-User glücklich zu machen? Zu klein, machen wir nebenher. Software updaten? Das ist Keep The Lights On Arbeit und kann doch Ops machen. So oder so ähnlich trägt es sich alle 3 Monate in Firmen zu.In dieser Episode geben wir euch mal ein paar Leitfragen und ein spezifisches Framework an die Hand, wie man die Software-Entwicklungs-Ressourcen gut über das nächste Quartal balanciert, es genug Features in die Roadmap schaffen, aber auch Zeit für Tech Debt und Produktivitätsverbesserungen bleibt. Dabei klären wir, warum eine gewisse Planung eigentlich so wichtig ist, wer eigentlich immer die ganzen Anforderungen auf den Tisch knallt, was Over-Commitments und Rollovers sind, wie Ubuntu und Github mit Mission Papercut kleine Bugs zu einem großen Projekt gemacht hat aber auch warum eine Quartalsplanung in die Bereiche KTLO, Build New Stuff, Improve Stuff und Productivity eingeteilt werden sollte.Das Thema klingt trocken. Dennoch kann dies euch eine Stimme im Planungsprozess geben, damit ihr endlich mal Zeug aufräumen könnt.Bonus: Ist Jira das neue ERP-System?Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

In this episode of the Tyler Tech Podcast, we explore how cloud technology helps governments build greater resilience, maintain continuity, and adapt to evolving risks.Russell Gainford, chief technology officer at Tyler, joins us to discuss how the cloud delivers the scalability, flexibility, and reliability agencies need to keep critical services running — even in the face of disruption. From cybersecurity threats to natural disasters and unexpected system demands, cloud-based infrastructure empowers governments to respond quickly and recover confidently.Throughout the conversation, Russell shares insights on the limitations of traditional on-premises environments, the growing importance of proactive risk planning, and how cloud solutions help reduce technical debt while improving operational agility. He also offers best practices for building a roadmap to resilience, including how to prioritize critical systems, plan for dependencies, and make smart investments over time.Tune in to learn how modern cloud strategies are helping government agencies strengthen resilience, improve service delivery, and prepare for the unexpected.This episode also highlights Digital Access and Accessibility in the Resident Experience, a new white paper exploring how public sector organizations can remove barriers and create more inclusive digital services. As governments continue to expand digital offerings, ensuring a seamless, user-friendly experience is more important than ever.Download: Digital Access and Accessibility: Creating a Better Resident ExperienceAnd learn more about the topics discussed in this episode with these resources:Download: Building a Resilient GovernmentDownload: A Digital Guide to Modernizing the Resident ExperienceDownload: Cloud-Smart Strategies for IT Infrastructure ModernizationBlog: How Cloud-Based Solutions Expand Access to State ServicesBlog: Using Cloud-Based Solutions to Improve Access in CountiesBlog: The Cloud Experience: Improving Government ServicesBlog: Future-Proofing Government Through Technology ModernizationVideo: Tyler Talks: The Cloud is NowVideo: 30 Years of Data Moved to Cloud in 5 DaysVideo: Increase Efficiency With the CloudPodcast: Cloud Adoption and Understanding the Risks of Legacy SystemsListen to other episodes of the podcast.Let us know what you think about the Tyler Tech Podcast in this survey!

In this episode, Austin speaks with Brennan Watt, VP of Core Engineering at Anza, about the evolution of Solana's validator clients. The conversation centers on Agave, originally developed at Solana Labs and now, by Anza. Brennan offers perspective on the critical role validator clients play in overall network performance, recounting challenges encountered in 2022 and 2023 and the improvements that have shaped the current landscape. They dive deep on topics such as memory allocation optimizations, the development of the Agave scheduler, and the broader movement toward a multi-client ecosystem. 00:00 - Anza's Origin and Early Challenges with Solana 07:47 - Technical Debt and Development Philosophy 12:58 - Scheduler Innovations and Performance Enhancements 18:19 - Modular Codebase and Future Improvements 22:36 - Governance and Protocol Changes 24:50 - CU Limits and Performance 32:08 - Validator Client Collaboration 35:54 - Future Performance Goals 41:25 - Final Thoughts  DISCLAIMER The content herein is provided for educational, informational, and entertainment purposes only, and does not constitute an offer to sell or a solicitation of an offer to buy any securities, options, futures, or other derivatives related to securities in any jurisdiction, nor should not be relied upon as advice to buy, sell or hold any of the foregoing. This content is intended to be general in nature and is not specific to you, the user or anyone else. You should not make any decision, financial, investment, trading or otherwise, based on any of the information presented without undertaking independent due diligence and consultation with a professional advisor. Solana Foundation Foundation and its agents, advisors, council members, officers and employees (the “Foundation Parties”) make no representation or warranties, expressed or implied, as to the accuracy of the information herein and expressly disclaims any and all liability that may be based on such information or any errors or omissions therein. The Foundation Parties shall have no liability whatsoever, under contract, tort, trust or otherwise, to any person arising from or related to the content or any use of the information contained herein by you or any of your representatives. All opinions expressed herein are the speakers' own personal opinions and do not reflect the opinions of any entities.

Aatish Nayak is the Head of Product at Harvey where he oversees product vision, strategy, design, analytics, marketing, and support. This is his third hypergrowth AI unicorn having previously held product leadership roles at Scale AI from 40 to 800 people, and Shield AI from 20 to 100 people.  In Today's Episode We Discuss: 04:21 Biggest Product Lessons from Scale AI 7:18 Why Product Managers Are Wrong: They are not the CEO of the Product 12:28 Why Market Selection is More Important than Anything Else 16:40 If Distribution is King then Product is President 22:06 Effective Product Strategy and Execution 26:24 How to Write the Best PRDs 31:01 Balancing New Features and Technical Debt 33:17 Analysing Retrospectives and Postmortems 33:55 Introduction to Pre-mortems 38:25 Biggest Product Mistakes and Lessons Learned 41:40 Evaluating AI Models and Lessons Learned 45:03 The Future of AI in Product Management 55:21 What Should Product People Learn to Win in a World of AI 59:37 The AI Talent War in San Francisco 01:01:26 Quickfire Round  

Evan Phoenix (@evanphx), CEO of Miren, joins Robby to explore the subtle but powerful difference between writing code that works and writing code that explains itself. They discuss the role of clarity in maintainable systems, why splitting a monolith can backfire, and what developers can learn from artists and tradespeople alike.Episode Highlights[00:01:30] What Makes Software Maintainable?Evan defines maintainability as how easily a newcomer can make a change with minimal context.[00:02:30] Why Business Logic Should Be ObviousA discussion on domain knowledge leakage and abstracting rules like “can we sell today?”[00:05:00] Programming 'Mouthfeel' and the Trap of PrefactoringEvan explains why prematurely optimizing for reuse can lead to unnecessary complexity.[00:07:00] When to Extract Logic: The Copy/Paste SignalA practical approach to identifying reusable components by spotting repeated code.[00:08:00] Technical Debt as a Reflection of Cognitive LoadWhy forgetting your own code doesn't automatically mean it's “bad” code.[00:10:30] Testing as Emotional InsuranceHow writing even basic checks can build team confidence—especially when test coverage is weak.[00:13:00] Daily Integration Tests: A Low-Pressure Safety NetUsing nightly integration runs to catch invisible bugs in complex systems.[00:14:00] Confidence > 100% Test CoverageWhy fast feedback loops matter more than aiming for exhaustive tests.[00:20:00] Splitting the Monolith: A Cautionary TaleEvan shares how decoupling apps without decoupling the database created chaos.[00:22:00] Shared Models, Split Repos, and Hidden PitfallsThe unexpected bugs that emerge when two apps maintain duplicate models and validations.[00:23:00] Better Alternatives to Splitting CodebasesHow separate deployments and tooling can mimic team separation without architectural debt.[00:28:00] The Hidden Cost of Diverging Business DomainsWhen apps evolve independently, business logic begins to drift—undermining consistency.[00:29:00] Building Miren and Staying MotivatedHow Evan approaches early-stage product development with curiosity and detachment.[00:36:00] How to Know When Your Open Source Project Is “Done”Reframing “dead” projects as complete—and why stability is often a feature.[01:01:00] Signals for Trusting Open Source DependenciesEvan's mental checklist for evaluating if a library is worth adopting.[01:07:00] The Importance of Hiring Junior DevelopersWhy investing in beginners is crucial for the future of our industry.[01:08:00] Book RecommendationsEvan recommends The Inner Game of Tennis and Snow Crash.Links and ResourcesEvan Phoenix's WebsiteEvan on GitHubEvan on MastodonBook RecommendationsThe Inner Game of Tennis (book)Snow Crash by Neal StephensonThanks to Our Sponsor!Turn hours of debugging into just minutes! AppSignal is a performance monitoring and error-tracking tool designed for Ruby, Elixir, Python, Node.js, Javascript, and other frameworks.It offers six powerful features with one simple interface, providing developers with real-time insights into the performance and health of web applications.Keep your coding cool and error-free, one line at a time! Use the code maintainable to get a 10% discount for your first year. Check them out! Subscribe to Maintainable on:Apple PodcastsSpotifyOr search "Maintainable" wherever you stream your podcasts.Keep up to date with the Maintainable Podcast by joining the newsletter.

Send us a textIt's AI Friday on the Customer Success Playbook! In this forward-looking finale of our three-part series with Ken Sandy, we explore how artificial intelligence is reshaping product leadership. From discovery and prototyping to ethical decision-making and team collaboration, AI is not just changing the tools—it's changing the very skills product managers need. Whether you're a product leader or part of a cross-functional team, this conversation offers a roadmap for navigating the AI evolution without losing your human touch.Detailed Description: In this must-listen conclusion to our three-part series, Roman Trebon and Kevin Metzger sit down once again with Ken Sandy, author of The Influential Product Manager, to dissect how AI is revolutionizing the way product managers work.Ken kicks things off with a big-picture perspective: AI's impact will be long-term and transformative, but not immediate or magic. Drawing from past technological revolutions, he explains the familiar hype cycle—from inflated expectations to eventual disruption—and positions AI right in the middle of it.But the real gold is in the practical insights. Ken dives into how AI will affect key aspects of product management:Discovery: Use AI to mine customer support data, user behavior, and feedback at scale, unlocking deeper, faster insights.Prototyping: Rapidly build and iterate concepts using AI-driven tools, allowing for early validation (and quick abandonment of bad ideas).Experimentation: Run more robust, scalable tests that bring clarity to customer behavior and optimize solutions in-market.Ken also delivers a reality check: AI is powerful, but it doesn't replace collaboration. The partnership between product, design, engineering, and CX is more essential than ever. He warns against operating in silos or outsourcing ethical judgment to machines. AI may hallucinate; your team still needs to lead.Plus, the group tackles the tricky topic of technical debt, the future of documentation, and why empathy remains a product leader's superpower. This isn't just a conversation about AI—it's a compelling call to reimagine how we solve problems together.If you want to lead with AI rather than be led by it, this episode is your launchpad.Now you can interact with us directly by leaving a voice message at https://www.speakpipe.com/CustomerSuccessPlaybookKeywords:Artificial IntelligenceProduct ManagementCustomer Success PlaybookStrategic InnovationDiscoveryPrototypingExperimentationCross-functional CollaborationTechnical DebtEmpathy in LeadershipCheck out https://funnelstory.ai/ for more details about Funnelstory. You can also check out our full video review of the product on YouTube at https://youtu.be/4jChYZBVz2Y.Please Like, Comment, Share and Subscribe. You can also find the CS Playbook Podcast:YouTube - @CustomerSuccessPlaybookPodcastTwitter - @CS_PlaybookYou can find Kevin at:Metzgerbusiness.com - Kevin's person web siteKevin Metzger on Linked In.You can find Roman at:Roman Trebon on Linked In.

Gaurav Misra is the co-founder and CEO of Captions, an AI-powered video creation company and one of the most successful consumer AI products in the world today. Previously he was a product leader at Snap, where he created the design engineering function and spent years helping develop features used by hundreds of millions of users worldwide. With a background in both engineering and design, Gaurav brings a unique cross-functional perspective to product development.What you'll learn:1. Why the “ship a marketable feature every week” approach helps his team stay focused and the product stay top of mind for users amid constant AI breakthroughs2. How to balance rapid shipping with maintaining quality by cutting scope rather than compromising on timelines3. The “secret roadmap” strategy that helps Captions develop breakthrough features competitors never see coming4. Why taking on strategic technical debt is essential for startups to outpace larger companies5. How Captions accidentally ignored their most successful product for 1.5 years (and why it still grew to 500K users with no updates or support)6. How Snap's unique product development approach—with designers functioning as PMs—enabled their success as the last major social network to break through7. Why AI video will transform marketing before other industries—Brought to you by:• Brex — The banking solution for startups• Paragon—Ship every SaaS integration your customers want• Coda—The all-in-one collaborative workspace—Find the transcript at: https://www.lennysnewsletter.com/p/how-to-win-in-the-ai-era-gaurav-misra—Where to find Gaurav Misra:• X: https://x.com/gmharhar• LinkedIn: https://www.linkedin.com/in/gamisra1/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Gaurav's background(04:47) The exciting era of AI and startups(09:30) Staying top of mind(11:26) Tips for staying focused(13:14) Shipping marketable features weekly(19:03) Managing technical debt in startups(25:31) Snap's unique product development approach(32:09) Brainstorming with AI(35:09) What Snap got right(41:06) Scaling with a small, agile team(49:33) The shift toward prototyping in product management(51:47) The product manager role(55:40) Snap's mission and product decisions(01:02:13) The future of AI-generated video(01:10:20) Leveraging AI for marketing(01:14:37) Failure corner(01:20:21) Lightning round and closing thoughts—Referenced:• Snap: https://www.snap.com/• Captions: https://www.captions.ai/• Iron Man on Disney+: https://www.disneyplus.com/movies/iron-man/6aM2a8mZATiu• J.A.R.V.I.S.: https://en.wikipedia.org/wiki/J.A.R.V.I.S.• Cursor: https://www.cursor.com/• Devin: https://devin.ai/• Eye contact: https://www.captions.ai/eye-contact• Nvidia: https://www.nvidia.com• Descript: https://www.descript.com• Evan Spiegel on LinkedIn: https://www.linkedin.com/in/evan-spiegel-8ab74034a/• TikTok: https://www.tiktok.com/• Spotlight: https://www.snapchat.com/spotlight/• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Patrick Collison on X: https://x.com/patrickc• DeepSeek: https://www.deepseek.com/• ByteDance Goku: New video generation AI model, better than OpenAI Sora: https://medium.com/data-science-in-your-pocket/bytedance-goku-new-video-generation-ai-model-better-than-openai-sora-56c017a320a5• Will Smith eating spaghetti and other weird AI benchmarks that took off in 2024: https://techcrunch.com/2024/12/31/will-smith-eating-spaghetti-and-other-weird-ai-benchmarks-that-took-off-in-2024/• Silo on AppleTV+: https://tv.apple.com/us/show/silo/umc.cmc.3yksgc857px0k0rqe5zd4jice• Severance on AppleTV+: https://tv.apple.com/us/show/severance/umc.cmc.1srk2goyh2q2zdxcx605w8vtx• Linear: https://linear.app/• Superhuman: https://superhuman.com/• Notion: https://www.notion.com• Perplexity: https://www.perplexity.ai/• OmniHuman-1 AI Video Generation Looks Too Real: https://www.youtube.com/watch?v=fY0KB516m-E—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

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What if I told you that the man who flew above Disneyland's Tomorrowland in the 1960s wasn't on wires, but strapped to actual jet engines? The remarkable true story of the rocket belt at Disney parks is more fascinating—and bizarre—than you might imagine.Kelly and Pete explore the surprising origins of personal flight technology, beginning with Wendell Moore of Bell Aeronautics, who adapted stabilization jets from Chuck Yeager's sound barrier-breaking X-1 aircraft into a wearable rocket pack. Though limited to just 21 seconds of flight time and powered by 90% pure hydrogen peroxide, these devices captured worldwide imagination, appearing not just at Disneyland and Disney World, but at presidential demonstrations, the 1984 Olympics opening ceremony, and in James Bond's "Thunderball."The rocket belt's journey through entertainment history connects fascinating dots between science fiction and reality. From Buck Rogers' "jumping belt" of 1920s comics to Commando Cody's rocket adventures in 1950s film serials, America had been primed to embrace personal flight long before it became technically possible. When Disney showcased these devices above Tomorrowland, they were fulfilling dreams decades in the making.But this is just the beginning of a story that grows increasingly strange. As competing rocket belt designs emerge, the narrative takes unexpected turns involving lawn-mowing teenagers who became rocket men, alleged drug smuggling operations, baseball bat confrontations, stolen equipment, and the birth of troubling rivalries that will ultimately lead to truly startling consequences.This first installment of a two-part rocket belt saga lifts off from the Flight Circle of yesterday's Tomorrowland and soars through a landscape where Disney history intersects with one of technology's most persistently appealing—yet perpetually impractical—dreams. Join us next time as the story grows even more unbelievable.==================================================================Show Notes: Bill Suitor is his name, not Robert as Kelly says early on.Dr. Theopolis on Buck Rogers was voiced by Howard F. Flynn.It's actually unclear if Tommy Walker booked the Bell Rocketbelt team for the 1964 World's Fair. He did, however, book Suitor to fly the RocketBelt for the 1984 Olympic Games opening as well as the team's 1965 and 1967 appearances at Disneyland.Walker, by the way, also composed the six-note "Charge!" fanfare heard at American sporting events.Astronaut Charles Duke: https://en.wikipedia.org/wiki/Charles_DukeKelly is playing fast and loose with the attraction naming. Rocket to the Moon (1955), Flight to the Moon (1967), Mission to Mars (1975).The Jetbelt guys actually could have launched from the location of the former Flying Saucers ride in 1967 because it had been converted to the Tomorrowland stage.Technical Debt at Disneyland article - https://boardwalktimes.net/the-cost-of-endless-magic-theme-parks-and-technical-debt-73a4bb29bb24Jaxxon!  https://starwars.fandom.com/wiki/Jaxxon_T._TumperakkiThanks for listening!We'd love it if you would give us a cheeky little review on your podcast platform of choice. They're really helpful.Come visit our Facebook group at https://www.facebook.com/groups/1511094196139406 or drop us a note to comments@lowdown-plus-up.com and let us know any questions or comments about how YOU would like to plus-something-up! We are a Boardwalk Times production.Boardwalk Times, https://boardwalktimes.net/Boardwalk Times store, https://boardwalktimes.store .

Not every messy piece of code needs a refactor. Noémi Ványi, Senior Software Engineer at Xata, joins Robby to discuss how to develop the intuition to know when refactoring is truly necessary and when it's just unnecessary churn. She shares her approach to balancing pragmatism and maintainability, how product teams and developers can work better together, and why developer autonomy is key to sustainable software.Drawing from her experience working on both open-source and closed-source projects, Noémi reflects on the unique challenges each presents—whether it's dealing with unresponsive GitHub issue reporters, handling unanticipated user behaviors, or navigating large-scale refactors in existing systems. She also shares her philosophy on technical debt: not all of it needs to be paid down, and some of it can actually be strategic.Robby and Noémi also explore the importance of writing meaningful commit messages, the hidden benefits of reviewing open-source pull requests, and why developers should stop waiting for permission to clean up their codebases.Episode Highlights[00:01:00] The characteristics of well-maintained software: modular design, good tests, and observability.[00:02:00] Open source vs. closed source software: Why communication matters more than you think.[00:04:50] Not all technical debt is worth paying down—how to decide when to refactor.[00:06:20] Developing engineering intuition: How experience shapes decision-making.[00:11:08] Lessons from refactoring a log processing system at Elastic.[00:17:09] Strategies for modernizing legacy systems without unnecessary rewrites.[00:19:52] Why maintainability is a business requirement, not an afterthought.[00:24:03] Should developers ask for permission to clean up code or just do it?[00:27:00] The impact of good commit messages and pull request documentation (GitHub PR Templates).[00:30:00] Are issue templates in open source a helpful guardrail or a barrier?[00:32:00] How to gain autonomy as a developer and advocate for technical improvements.[00:39:00] Noémi's advice: Only fix problems that are actually problems.Resources MentionedNoémi Ványi's WebsiteNoémi Ványi on GitHubElasticGitHub Pull Request TemplatesGitHubBook RecommendationLost in Thought: The Hidden Pleasures of an Intellectual Life by Zena Hitz

In this conversation, Sébastien Rannou and Loïc Titren from Kiln co-host Terence Tsao, Core Ethereum Developer at Offchain Labs. Together, they discuss the upcoming Ethereum upgrade known as Pectra, focusing on its implications for the consensus layer and the development process behind it. Terence shares his journey in Ethereum development, the challenges faced in implementing various EIPs, and the importance of testing in the upgrade process. The discussion also touches on the future of Ethereum, the role of Prysm in the ecosystem, and the anticipated changes with the Beam Chain.RESSOURCES MENTIONED:

Anuj Ojha: Beyond the Iron Triangle, A Path to True Agility Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Anuj shares his journey of understanding the complexities behind Scrum implementation, particularly when faced with fixed time and scope demands. He emphasizes the importance of learning to communicate effectively with different stakeholders in their own language. Through experience, he discovered that the traditional iron triangle (fixed time, scope, and resources) is a fiction in agile environments. His key insight is that while you can fix two sides of the triangle, attempting to fix all three undermines agility. He suggests building cases for critical needs like technical debt and ensuring all voices are heard when determining what's possible. Self-reflection Question: How do you handle situations where stakeholders demand certainty in all three aspects of the iron triangle? [The Scrum Master Toolbox Podcast Recommends]

Support our work at https://thewpminute.com/supportGet the newsletter at https://thewpminute.com/subscribeTechnical debt is an inevitable challenge for WordPress freelancers who have been in the industry for an extended period. Websites, tools, and services age, while outdated code, incompatible plugins, and inefficient workflows can accumulate. That creates obstacles that hinder progress. The key to success is proactively managing and minimizing technical debt to improve stability and efficiency.Eric Karkovack outlines several strategies for mitigating technical debt, including creating a maintenance plan for websites, monitoring third-party dependencies, and regularly reviewing business tools and processes. By proactively addressing potential issues—such as updating software, selecting reputable service providers, and modernizing workflow systems—freelancers can prevent disruptive surprises and maintain client trust.The goal is to make strategic decisions prioritizing stability while preparing for inevitable technological changes. That ensures a smooth path forward in an ever-evolving technical landscape. ★ Support this podcast ★

In this episode of the Liquid Weekly podcast, host Karl Meisterheim and co-host Taylor Page welcome Paolo Vidale, founder and CEO of Hidden Gears, to discuss the intricacies of technical debt, quality assurance, and the evolution of Shopify development.Paolo shares his journey into development, emphasizing the importance of understanding technical debt both in-house and inherited from previous projects.The conversation delves into the philosophy of quality assurance, the challenges of JavaScript, and innovative approaches like inside-out re-theming to manage technical debt effectively. The episode concludes with insights on the latest changes in the Shopify ecosystem and personal picks from the hosts.Takeaways:• Technical debt is a crucial aspect of development that can accumulate over time.• Quality assurance should be viewed as a philosophy rather than just a task.• Diligence in testing involves anticipating user behavior and potential errors.• Inside-out re-theming allows for gradual improvements without complete overhauls.• JavaScript can introduce complexities, especially with conflicting libraries from apps.• Effective QA processes can prevent surprises and ensure a smoother development experience.• Collaboration with app developers can lead to better product outcomes.• Accessibility testing is an essential part of the QA process.• Understanding the implications of headless architecture is vital for successful implementation.• Using tools like Nacho Nacho can help manage SaaS subscriptions effectively.Timestamps:• 00:00 Introduction and Guest Introduction• 01:15 Paolo's Origin Story in Development• 07:40 Transitioning to Shopify and E-commerce• 09:59 Balancing Marketing and Development• 12:31 Quality Assurance in Development• 17:08 Understanding Quality Assurance• 21:14 Design QA vs. Development QA• 25:06 Accessibility and ADA Testing• 29:19 Navigating Complexity in Design and Accessibility• 30:10 Tools for Accessibility Testing• 33:18 Quality Assurance in Development• 34:32 Diligence and Destruction in QA Testing• 39:23 Understanding Technical Debt• 49:02 Inside-Out Re-theming for Technical Debt• 54:17 JavaScript Challenges and Solutions• 57:13 Dev Changelog and Picks of the WeekFind Paolo Online:• Website: https://www.hiddengears.com• Instagram: https://instagram.com/hiddengears• LinkedIn: https://www.linkedin.com/in/paolovidali/• Twitter(X): https://x.com/paolorobotResources:• ARIA DevTools: https://chromewebstore.google.com/detail/aria-devtools/dneemiigcbbgbdjlcdjjnianlikimpck?hl=en• Browserstack: https://www.browserstack.com/• Deque University: https://dequeuniversity.com/• WAVE: https://wave.webaim.org/• JAWS Inspect: https://www.tpgi.com/arc-platform/jaws-inspect/Dev Changelog:• Removing unnecessary RELEVANCE sort options: https://shopify.dev/changelog/removing-unnecessary-relevance-sort-options• Events and Origins in Store Credit Account Transactions: https://shopify.dev/changelog/events-and-origins-in-store-credit-account-transactions• Attribute Marketing Consent to Retail Locations: https://shopify.dev/changelog/track-the-retail-locations-where-your-customers-update-their-marketing-consentPicks of the Week:• Paolo: Saas and AI Marketplace (https://nachonacho.com/)• Karl: Logseq (https://logseq.com/)• Taylor: Wahl Clipper/Trimmer (https://amzn.to/4keu34q)Signup for Liquid Weekly Newsletter:Don't miss out on expert insights and tips—subscribe to Liquid Weekly for more content like this delivered right to your inbox each week: https://liquidweekly.com/

Highlights from this week's conversation include:The Return of the Cynical Data Guy (0:14)Risks of SQL Complexity (2:16)Technical Debt in Data (4:34)Data Mesh Critique (6:38)Governance vs. Decentralization (9:55)Never Let a Stakeholder Tell You They Need a Dashboard (12:05)Dashboard vs. Table (13:34)Organizational Dynamics in Data Requests (16:35)AI and Prompt Writing (19:43)Search Techniques and User Behavior (21:20)Discussion on Code Optimization Tools (23:19)Final Thoughts and Takeaways (24:47)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

In this episode, Andy Leonard and Frank La Vigne are thrilled to be joined by Trevor Schulze, the Chief Information Officer at Alteryx. Trevor brings an unparalleled perspective on digital transformation, drawing from his impressive tenure at industry giants such as Micron, Cisco, and RingCentral.Time stamps00:00 "Data Driven: AI & CIO Insights"04:32 CIO's Role in AI Evolution06:50 CIO's Evolving Role with AI11:43 "Embracing Data Democratization"16:24 Democratizing Data Access19:33 "AI Investment and Optimization Cycle"20:55 AI Enhances Tool Configuration Guidance24:42 Breaking Free from Vendor Lock-In27:41 "Unleashing Shadow AI and Technical Debt"31:53 Digital Performance Essential for All Industries34:01 Data Privacy Concerns in AI Use37:30 AI Democratization Challenges for Enterprises42:15 AI Transforming Business Processes43:55 Data-Driven Career Journey47:13 "Building Trust in Data Analytics"52:34 Building Trust in Future Tech

Is your startup struggling to ship new features? Are you constantly putting out fires instead of innovating? You might be drowning in technical debt without even realizing it.In this eye-opening episode, Yaniv Bernstein and Chris Saad demystify the often misunderstood concept of technical debt and its crucial role in startup success.In this episode, you will: Discover what technical debt really is and why it's inevitable for startups Learn to distinguish between good debt that fuels growth and bad debt that strangles innovation Understand how technical debt relates to financial debt and why it matters for your bottom line Explore common types of technical debt and their impact on your business Gain insights into effective strategies for paying back technical debt Master the art of making technical decisions with a business-first mindset Uncover the secret to balancing innovation and technical sustainabilityThe PactHonour The Startup Podcast Pact! If you have listened to TSP and gotten value from it, please: Follow, rate, and review us in your listening app Subscribe to the TSP Mailing List at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thestartuppodcast.beehiiv.com/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Secure your official TSP merchandise at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://shop.tsp.show/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on YouTube at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@startup-podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Give us a public shout-out on LinkedIn or anywhere you have a social media following.Key links The Startup Podcast is sponsored by Vanta. Vanta helps businesses get and stay compliant by automating up to 90% of the work for the most in demand compliance frameworks. With over 200 integrations, you can easily monitor and secure the tools your business relies on. For a limited-time offer of US$1,000 off, go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.vanta.com/tsp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get your question in for our next Q&A episode: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://forms.gle/NZzgNWVLiFmwvFA2A⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Startup Podcast website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tsp.show⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Learn more about Chris and YanivWork 1:1 with Chris: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://chrissaad.com/advisory/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Chris on Linkedin: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/chrissaad/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Yaniv on Linkedin: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/ybernstein/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠CreditsEditor: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Justin McArthur⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Content Strategist: Carolina Franco https://www.linkedin.com/in/francocarolina/Intro Voice: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jeremiah Owyang⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Ivett Ördög speaks with host Sam Taggart about rewrite versus refactor -- a choice that many projects face as they grow. It's a topic that inspires a lot of dogmatic feelings. They discuss how companies and projects end up at this crossroads and consider some strategies to try to avoid it. Ivett challenges the myth that you should never rewrite but points to two key factors that need to be present for a successful large-scale rewrite or refactor. They end by talking about how to get management on board for such large-scale rewrite or refactor projects. Brought to you by IEEE Computer Society and IEEE Software magazine.

Episode OverviewMarty Haught joins Robby to discuss the sustainability of open-source projects, the challenges of maintaining RubyGems, and why the metaphor of technical debt may not fully capture how software ages. Instead, he suggests thinking of it as drift—the natural misalignment of software with its evolving purpose over time.They also dig into security challenges in package management, including how Ruby Central worked with Trail of Bits to audit RubyGems. Marty also shares insights on the EU Cyber Resilience Act and how it might affect open-source maintainers worldwide. Finally, they explore how companies can support open-source sustainability through corporate sponsorships and individual contributions.Topics Discussed[00:01:00] The two pillars of maintainable software: good tests and readability.[00:02:40] From Perl to Ruby: How readability changed Marty's approach to programming.[00:07:20] Is technical debt the right metaphor? Why "drift" might be a better fit.[00:11:00] What does it take to maintain RubyGems? Marty's role at Ruby Central.[00:14:00] Security in package management: How RubyGems handles vulnerabilities.[00:16:40] The role of external audits: Partnering with Trail of Bits for security improvements.[00:20:40] EU Cyber Resilience Act: How new regulations might affect open-source projects.[00:26:00] Funding open source: Why corporate sponsorships are becoming essential.[00:33:40] Advocating for technical debt work in teams: How to make a compelling case.[00:38:20] Processes in distributed teams: Balancing structure with flexibility.Key TakeawaysTechnical debt is often misunderstood. The real issue may not be shortcuts taken in the past, but the way software naturally drifts from its original purpose.Security in package management is a growing concern. Open-source ecosystems like RubyGems require continuous investment to remain secure.Open source needs sustainable funding. Relying on volunteers is not a long-term solution—companies need to contribute via corporate sponsorships.Advocating for code improvements requires strategy. Engineers should frame technical debt discussions around business impact, not just code quality.Resources MentionedMarty Haught on LinkedInMarty Haught on TwitterRuby CentralRubyGemsAuditing the Ruby Ecosystem's Central Package Repository – Trail of BitsEU Cyber Resilience Act OverviewWhat the EU's New Software Legislation Means for Developers (GitHub Blog)Ruby Central Open Source Program – Get InvolvedCorporate Sponsors ProgramGive and Take by Adam GrantConnect with MartyLinkedInTwitterBlueSkyThanks to Our Sponsor!Need a smoother way to share your team's inbox? Jelly's got you covered!

Sometimes, less is more. Here's how I pruned my feature backlog from 120 to 15 items.I'll share my decision-making framework; every single rule comes with examples. Time to cut down on the mental load that is having too many "ideas" in your backlog.The blog post: https://thebootstrappedfounder.com/deleting-your-backlog-a-founders-guide-to-feature-pruning/The podcast episode: https://tbf.fm/episodes/373-delete-your-backlogCheck out Podscan to get alerts when you're mentioned on podcasts: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

In this podcast, two tech industry veterans reflect and share candid insights from 20 years of navigating the ever-changing world of tech and software development. Join Product Manager Brian Orlando and Enterprise Business Agility Coach Om Patel as they talk strategies for recession-proofing your career, the critical importance of talking to customers, and the role leadership plays in driving organizational success. Come for the positive experiences, but stay for the cringe-worthy tangents - we also explore the all-too-common pitfalls of tech such as confusing utilization with progress, the prevalence of Tayloristic management, and the emotional toll of accruing technical debt. Whether you're at the start of your career or a 20-plus year veteran like us, we'd love to hear if our experiences are similar to your own and we hope you enjoy our discussion on spending 20 years in tech!#TechCareers #LeadershipLessons #ProductManagement #SoftwareDevelopment #AgileReferencesWeapons of Mass Instruction by John Taylor GattoPunished by Rewards by Alfie KohnTurn the Ship Around! by L. David MarquetThe New Economics for Industry, Government, Education by W. Edwards Deming= = = = = = = = = = = =Subscribe on YouTube:https://www.youtube.com/channel/UC8XUSoJPxGPI8EtuUAHOb6g?sub_confirmation=1YouTubehttps://youtu.be/I_LF4QUU-XMApplehttps://podcasts.apple.com/us/podcast/agile-podcast/id1568557596Spotifyhttps://open.spotify.com/show/362QvYORmtZRKAeTAE57v3= = = = = = = = = = = =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)

Episode SummaryIn this episode of Maintainable, Robby sits down with Carola Lilienthal, Software Architect and Managing Director at WPS. Together, they explore the intersection of cognitive science and software architecture, strategies for tackling technical debt, and why simplicity, modularity, and domain knowledge are crucial for maintainability.Carola shares her approach to improving legacy systems, fostering domain-driven development, and introducing sustainable patterns into software design. She also discusses the Modularity Maturity Index (MMI), a tool her team has used to assess and improve over 300 systems.Topics Covered[00:00:43] What makes software maintainable?[00:01:24] The importance of clear structure, modularity, and simplicity in software.[00:02:38] How patterns help reduce complexity and onboard developers faster.[00:04:42] Addressing the challenges of systems with mixed architectural patterns.[00:06:20] Strategies for fostering creativity while maintaining simplicity.[00:07:05] How to guide teams to balance technical experimentation and maintainability.[00:14:03] Practical techniques for documenting architecture and decisions.[00:16:17] What is the Modularity Maturity Index (MMI), and how does it measure system health?[00:18:02] Common mistakes in managing technical debt and how to avoid them.[00:21:20] Why domain knowledge is essential for innovation and problem-solving.[00:33:03] Evolving legacy systems with domain-driven design and transformation.Key TakeawaysModularity matters: Simplified, modular systems with high cohesion and loose coupling reduce cognitive load and technical debt.Patterns as a shared language: Establishing a pattern language within your team creates consistency and eases onboarding.Cognitive science in software: Architecture aligned with how our brains process complexity results in more maintainable systems.Domain knowledge drives innovation: Teams should focus their creativity on solving domain-specific problems, not over-complicating the architecture.The value of architecture documentation: Keeping clear decision records helps teams navigate legacy code and onboard new developers.Resources MentionedCarola's LinkedInWPS WebsiteCarola's books:Sustainable Software ArchitectureDomain-Driven Transformation (English version coming soon)Modularity Maturity Index OverviewBooks Carola recommends:Reinventing Organizations by Frédéric LalouxTeam Topologies by Matthew Skelton and Manuel PaisBe sure to follow Carola on LinkedIn and X.Thanks to Our Sponsor!Turn hours of debugging into just minutes! AppSignal is a performance monitoring and error-tracking tool designed for Ruby, Elixir, Python, Node.js, Javascript, and other frameworks.It offers six powerful features with one simple interface, providing developers with real-time insights into the performance and health of web applications.Keep your coding cool and error-free, one line at a time! Use the code maintainable to get a 10% discount for your first year. Check them out! Subscribe to Maintainable on:Apple PodcastsSpotifyOr search "Maintainable" wherever you stream your podcasts.Keep up to date with the Maintainable Podcast by joining the newsletter.

Topics DiscussedThe importance of changeability as a core characteristic of well-maintained software.How GitHub has approached accessibility as a business and legal imperative.The evolution of GitHub's frontend system, spanning over 2,000 pages, and the concept of "frontend vintages."Primer: GitHub's design system and the paradox of its success—consistency vs. changeability.The disproportionate maintenance costs of frontend systems compared to backend systems.Using tools like Axe and keyboard-only tests to identify and resolve accessibility issues.The philosophical balance between creativity and usability in software design.Practical advice for teams starting their accessibility journey with limited resources.How frontend complexity affects scalability, especially in app-like experiences.Joel's advocacy for adopting off-the-shelf components to reduce complexity for smaller teams.Key Takeaways[00:01:12] What Defines Well-Maintained Software?Joel explains how changeability—the confidence to make and deploy changes—provides the foundation for high-quality software.[00:03:05] Accessibility as a PriorityThe Microsoft acquisition drove GitHub's investment in accessibility, introducing SLAs, automated tools, and manual processes to track progress.[00:08:49] Primer: GitHub's Design SystemPrimer fosters consistency but introduces the challenge of making changes across a vast, interconnected system.[00:12:54] The Cost of Frontend ComplexityJoel shares how browser quirks, device diversity, and other variables make frontend maintenance far more expensive than backend systems.[00:28:05] Where to Start with AccessibilityJoel recommends focusing on key user workflows like signing up, making payments, and completing core tasks. He emphasizes the importance of tools like Axe and keyboard-driven tests.Notable Time-Stamps[00:01:12] What Makes Software Well-Maintained? Joel shares how changeability drives quality.[00:03:05] GitHub's Accessibility Journey: The role of SLAs, audits, and automation.[00:08:49] Primer and Design Systems: Balancing consistency with innovation.[00:12:54] The Hidden Costs of Frontend Complexity: Lessons learned at GitHub.[00:20:33] Balancing Creativity with Usability: Joel reflects on the intersection of design and functionality.[00:28:05] Accessibility Best Practices: Where teams should focus their initial efforts.ResourcesJoel Hawksley's WebsitePrimer Design SystemAxe Accessibility ToolsGitHub's ViewComponent FrameworkBook Recommendation:How Buildings Learn by Stewart BrandGuest's LinksJoel Hawksley on GitHubJoel Hawksley's WebsiteThanks to Our Sponsor!Turn hours of debugging into just minutes! AppSignal is a performance monitoring and error-tracking tool designed for Ruby, Elixir, Python, Node.js, Javascript, and other frameworks.It offers six powerful features with one simple interface, providing developers with real-time insights into the performance and health of web applications.Keep your coding cool and error-free, one line at a time! Use the code maintainable to get a 10% discount for your first year. Check them out! Subscribe to Maintainable on:Apple PodcastsSpotifyOr search "Maintainable" wherever you stream your podcasts.Keep up to date with the Maintainable Podcast by joining the newsletter.

In this episode of the Tyler Tech Podcast, we revisit highlights from some of our most engaging 2024 conversations, focusing on strategies for public sector modernization. From cloud adoption and cybersecurity to AI-driven decision-making and improving accessibility, these discussions explore how digital transformation is shaping the future of public sector innovation.Russell Gainford, Tyler's Chief Cloud Officer, discusses the importance of cloud adoption and avoiding the risks of technical debt in outdated systems. He shares how strategic planning and leadership alignment can ensure modernization success.Sascha Ohler, Vice President of Outdoor Recreation at Tyler, reveals how technology is enhancing state parks, delivering seamless visitor experiences, and making the outdoors more inclusive for all.Rita Reynolds, CIO of the National Association of Counties (NACo), addresses the challenges counties face in workforce recruitment, cybersecurity, and aligning IT strategies to meet modern demands.Vivek Mehta, Vice President and General Manager of Tyler's Platform Solutions Division, explores how artificial intelligence (AI) is enabling governments to boost productivity, enhance decision-making, and improve service delivery while navigating adoption barriers.This episode also celebrates inspiring stories from public sector organizations making a tangible difference in their communities through impactful technology. These examples of innovation highlight the possibilities when purpose-driven solutions meet government needs. For Tyler clients, applications are now open for the Tyler Excellence Awards, which honor organizations driving meaningful change with forward-thinking approaches. Submit your application here. You can also read more about excellence in the public sector below:Blog: Excellence 2024: Data & Transparency SolutionsBlog: Excellence 2024: Connected Community SolutionsAnd learn more about the topics discussed in this episode with these resources:White Paper: Revolutionizing the Government Workforce With AIBlog: Preparing for the Future of AI in GovernmentBlog: Future-Proofing Government Through Technology ModernizationBlog: Key GovTech Trends and Takeaways from 2024 ConferencesBlog: Improving Field Inspections With AITyler Tech Podcast: Cloud Adoption and Understanding the Risks of Legacy SystemsTyler Tech Podcast: AI to Digital Rangers: The Next Era of Outdoor RecreationTyler Tech Podcast: Tech Transformation in CountiesTyler Tech Podcast: The Future of Government with AI and Emerging TechDownload: A Digital Guide to Modernizing the Resident ExperienceDownload: Cloud-Smart Strategies for IT Infrastructure ModernizationListen to other episodes of the Tyler Tech Podcast.Let us know what you think about the Tyler Tech Podcast in this survey!

935: In this episode of Technovation, Peter High speaks with Soumya Seetharam, Chief Digital and Information Officer of Corning, a 170-year-old material science innovator. Soumya discusses her dual role in leading IT operations and driving digital transformation, focusing on reducing technical debt, democratizing technology, and implementing AI-powered solutions like Corning GPT and GenAI operator assistants. Learn how Corning is harnessing data and AI to stay at the forefront of innovation and efficiency.

In this episode of Nova Advisory's CPM Customer Success, host Andy Smetana welcomes back Dave Collins, Director of Solution Consulting and Strategic Alliances at OneStream Software.  Together, they dive deep into a head-to-head comparison of SAP's modular CPM approach and OneStream's unified platform. Learn about the limitations of SAP's fragmented system, including technical debt and integration challenges, and how OneStream eliminates these obstacles with its extensible dimensionality and unified architecture. Discover actionable insights on achieving faster ROI, better financial outcomes, and a seamless transition from legacy systems. Whether you're considering a move or just curious about the landscape, this episode is packed with valuable takeaways for finance leaders. Check out all our episodes here: www.novaadvisory.com/podcast