Podcast
Software Sundays
Hosted by Kevin Dowdy · EN
Software Sundays is a weekly podcast where technology, culture, and real-world impact intersect.
Hosted by Kevin Dowdy, the show explores the latest trends in software engineering, AI, and digital innovation—while breaking down what they actually mean for engineers, builders, and communities. From industry shifts to practical insights, each episode is designed to help you think critically, build intentionally, and lead with purpose.
Whether you're a developer, founder, or someone looking to transition into tech, this is your space to stay informed and grow.
13episodes
Episodes
Newest firstAll episodes
EU Targets Big Cloud, Brazil’s Emergency Alert Breach & Token Economics | SS #34
1w ago00:58:23Tap to summarizeThis week on Software Sundays, KD breaks down three major stories shaping the future of technology, cybersecurity, and business. We start with growing antitrust pressure on cloud providers like Microsoft, Amazon, and other infrastructure giants, and what it means when cloud computing begins to look more like a utility than a traditional technology service.Next, we examine the cybersecurity implications of a hack that allowed fake government emergency alerts to be sent to millions of people in Brazil. KD explains why trust in digital infrastructure matters, how attacks against critical systems can create national security concerns, and why cybersecurity skills are becoming more important than ever.We also explore the changing economics of artificial intelligence as AI companies move away from flat subscription pricing toward usage-based models. What happens when organizations are forced to measure the real value generated by AI systems? And what opportunities could emerge for engineers, operators, and future FinOps professionals?In this episode’s Q&A, KD covers pass-by-reference versus pass-by-value, who should define security policies, why undocumented processes create operational risk, lessons learned from debugging a production issue, and how to build software that people actually want to use.We close with a reminder that uphill battles require stronger teams, better preparation, and the right people around you to keep moving forward.Timestamps:00:00 Introduction to Software Sundays and Antitrust Laws09:34 Cybersecurity Threats and National Security16:59 The Economics of AI and Value Testing24:13 Future Skills in Tech and Professionalism29:09 Memory Management in Programming33:49 Defining Security Policies in Organizations39:57 The Importance of Documentation44:15 Lessons from Debugging Production Issues49:05 Creating User-Friendly Software53:23 Overcoming Life's Uphill Battles55:00 AnnouncementsBuild Learn Impact is on a mission to help people create wealth and opportunity through technology.Subscribe if you're ready to build, learn, and lead.#SoftwareSundays #CyberSecurity #AI #CloudComputing #AWS #Microsoft #Amazon #CloudInfrastructure #Antitrust #BrazilHack #Technology #SoftwareEngineering #FinOps #Leadership #BuildLearnImpact #ArtificialIntelligence #TechNews #SecurityEngineering #Git #Programming #DevelopersDISCLAIMER: This is not professional advice. The views expressed are my own. Consult your own legal, business, financial, or tax advisors before making decisions based on information discussed in this episode.
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The AI Job Myth, Intelligence You Can Trust & Government-Controlled AI | SS #33
2w ago00:42:40Tap to summarizeThis week on Software Sundays, KD breaks down one of the biggest questions in technology today: will AI actually replace skilled professionals, or are we dramatically underestimating the value of human accountability, trust, and judgment?We start with new claims that millions of workers are at risk from AI-driven automation and why software engineers, accountants, and legal professionals may be far more resilient than many headlines suggest. KD explains why trust-based professions could require even more human oversight as AI adoption grows. Next, we dive into Anthropic’s controversial decision to quietly route certain requests to less capable models without informing users. What does this mean for trust, transparency, research, software development, finance, and other industries that rely on AI-generated insights?We also explore proposals for governments to take ownership stakes in major AI companies, what that could mean for citizens, universal capital, national security, and why AI is increasingly being treated as a strategic national asset.In this episode’s Q&A, we cover the skills every entry-level software engineer should have in 2026, how organizations can secure open-source software, the differences between SaaS, PaaS, and IaaS, why one-on-one meetings matter, and what data centers actually do beyond powering AI.We close with a reminder that the bar is constantly rising and that long-term success belongs to the people who continue learning, adapting, and improving. CHAPTERS: 00:00 Introduction to Software Sundays00:43 AI and Job Automation Concerns08:01 The Role of Humans in AI-Driven Fields13:42 Government Involvement in AI Companies18:55 The Risks of Over-Reliance on AI21:00 Entry-Level Software Engineering Skills for 202624:31 Securing Open Source Software28:00 Understanding SaaS, PaaS, and IaaS31:03 The Importance of One-on-Ones in Organizations32:50 The Importance of Data Centers37:44 Continuous Growth and ImprovementBuild Learn Impact is on a mission to help our community create wealth and opportunity through technology.Join BLI University - https://discord.gg/jpJHGq6kgS#SoftwareSundays #AI #Anthropic #ArtificialIntelligence #SoftwareEngineering #FutureOfWork #CyberSecurity #OpenSource #DataCenters #CloudComputing #Technology #Leadership #BuildLearnImpact #TechEducation #AIJobs #NationalSecurity #CareerGrowth #TrustInAI
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AI Nonproliferation, U.K Chips Sovereignty & When Bots Outnumber Humans | Software Sundays #32
2w ago00:46:22Tap to summarizeThis week on Software Sundays, KD explores three major shifts shaping the future of technology, society, and power.We begin with Anthropic’s call for AI non-proliferation and what increased regulation could mean for innovation, competition, and the future of open-source AI. Then we examine the growing push for sovereign AI as governments invest in domestic chips, data centers, energy infrastructure, and national AI capabilities.We also break down a milestone moment for the internet: bots now generating more traffic than humans. KD explains what this means for trust, influence, social media, AI agents, and the future of online interactions.In this episode’s Q&A, we cover how to move quickly without making mistakes, budgeting a software engineering salary, the difference between the cloud and a home computer, what it really means to be agile, and why every engineer should be using GitHub.We close with a reminder that sometimes growth requires changing environments and placing yourself where your goals have the best opportunity to thrive. CHAPTERS: 00:00 Introduction to Software Sundays02:32 The Call for AI Regulation04:51 Sovereignty in AI Infrastructure07:27 The Rise of Bots and AI Agents09:39 The Importance of Trust in AI12:23 Navigating the Technology Industry14:51 Budgeting Your Software Engineering Salary17:20 Understanding Cloud vs Home Computing19:42 Agility in Development22:30 The Role of GitHub in Development25:01 Mindset for GrowthBuild Learn Impact is on a mission to help our community create wealth and opportunity through technology. Join BLI University - https://discord.gg/jpJHGq6kgSConnect with Build Learn Impact: Instagram → https://www.instagram.com/build.learn.impactSubstack → https://buildlearnimpact.substack.com/Connect with Kevin Dowdy: Instagram → https://www.instagram.com/mrkevindowdyLinkedIn → https://www.linkedin.com/in/kevinldowdy/YouTube → https://www.youtube.com/@kevinldowdySubstack → https://substack.com/@kevinldowdyGitHub → https://github.com/kevindowdy #SoftwareSundays #AI #Anthropic #SovereignAI #ArtificialIntelligence #CloudComputing #GitHub #SoftwareEngineering #TechEducation #DigitalSovereignty #OpenSource #CareerGrowth #Leadership #BuildLearnImpact
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The Pope’s Warning, Europe’s $75B Bet & Tech Fueled Housing Crisis | SS #31
4w ago00:57:37Tap to summarizeThis week on Software Sundays, KD explores how artificial intelligence is reshaping society, economies, and opportunity around the world.We begin with the Vatican’s growing concerns about AI and the impact advanced technology may have on human dignity, work, and decision-making. As governments, institutions, and global leaders pay closer attention to AI, the conversation is moving beyond innovation and into questions about responsibility and long-term societal impact.Next, we examine SoftBank’s proposed €75 billion investment in AI infrastructure across France and what it signals about the global race to build sovereign AI capabilities. KD discusses the growing demand for cloud, platform, security, networking, and reliability engineers as countries seek greater control over their technological futures.We also break down how new wealth generated by the technology sector is contributing to rising housing costs in major markets like San Francisco, and why participation in the technology economy may become increasingly important for individuals and families seeking economic mobility.In this episode’s Q&A, we cover how to choose the right tool for a project, the differences between dynamic and static testing, why software estimates are often wrong, how Known Exploited Vulnerabilities (KEVs) fit into cybersecurity programs, and why the technology industry creates so much wealth.We close with a reminder to stay focused on your own mission, avoid distractions, and build the future you want to create.Join BLI University: https://discord.gg/jRkGnQaDVqConnect with Kevin Dowdy: https://www.linkedin.com/in/kevinldowdyRSVP for I Self Express Walk: https://www.eventbrite.com/e/i-self-express-too-10th-annual-self-esteem-awareness-walk-tickets-1982640223279?aff=oddtdtcreatorCHAPTERS:00:00 Introduction to Software Sundays Builders00:29 The Pope's Stance on AI and Human Dignity03:53 The Need for Mindful AI Development06:35 SoftBank's Investment in AI Infrastructure09:28 The Future of AI and Infrastructure Development12:28 Opportunities in Sovereign AI and Global Talent14:52 The Impact of Tech Wealth on Housing Markets17:52 The Importance of Competing in Tech19:09 Choosing the Right Tools for Development26:30 Dynamic vs. Static Testing in Software31:46 Challenges in Estimating Software Project Timelines40:00 Understanding Known Exploited Vulnerabilities45:05 Wealth Concentration in the Tech Industry51:02 Mindset for Success in Tech55:08 Community Announcements and Closing ThoughtsBuild Learn Impact is on a mission to help you create wealth, opportunity, and ownership through technology.#SoftwareSundays #ArtificialIntelligence #AI #Technology #SoftwareEngineering #CyberSecurity #TechCareers #Housing #TechIndustry #Innovation #Leadership #CloudComputing #Engineering #BuildLearnImpact #KEV #ThreatIntelligence #SoftBank #Vatican #FutureOfWork
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AI Fears, Cybersecurity Showdowns & Why Ambition Still Matters | Software Sundays #30
May 2400:54:53Tap to summarizeThis week on Software Sundays, KD breaks down the growing anxiety around artificial intelligence and what it means for workers, engineers, students, and creators trying to navigate the future of work.We start with the viral commencement speech where graduates booed discussions about AI, and unpack why so many young people feel uncertain about job opportunities in an AI-driven economy. KD explains why AI should be viewed as a tool instead of an enemy, while also acknowledging the very real pressure being placed on junior and entry-level workers.Then we dive into a cybersecurity showdown where AI agents and human security teams battled each other in a live competition. KD explains how red teams and blue teams operate, why AI hallucinations remain dangerous in security environments, and why experienced professionals are still critical even in highly automated systems.We also cover California’s new executive order aimed at preparing workers for AI disruption, including discussions around job retraining, universal basic capital, and how governments may attempt to soften the impact of automation over the next several years.In this week’s Q&A, KD answers questions about:Staying engaged on difficult projectsManaging expectations before accepting new workUnderstanding ambitionMastering process over toolsKnowing when it’s appropriate to disagree with leadership.We close with a reminder that communication is one of the most powerful skills builders can develop because the ability to transfer ideas effectively is what allows people to scale their impact.CHAPTERS: 00:00 Introduction to Software Sundays00:49 AI Anxiety and Opportunities05:10 Cybersecurity Showdown: AI vs Humans11:17 Political Responses to AI Impact17:17 Long-term Perspectives on AI19:53 Q&A: Engagement in Difficult Projects27:53 Managing Expectations with New Requests34:02 The Importance of Ambition38:14 Mastering Processes Over Tools42:42 Disagreeing with Your Manager48:28 The Power of Communication#SoftwareSundays #AI #CyberSecurity #SoftwareEngineering #CareerGrowth #ArtificialIntelligence #Leadership #Technology #Engineering #Automation #BlueTeam #RedTeam #TechCareers #BuildLearnImpact #CommunicationSkills
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Microsoft & OpenAI Power Struggle, Data Centers Reshaping Energy Demand and AI's Impact on the Workforce | Software Sundays
May 1700:59:08Tap to summarizeThis week on Software Sundays, KD breaks down the growing power dynamics shaping the future of artificial intelligence, infrastructure, and the technology workforce. We start with Microsoft CEO Satya Nadella’s testimony about Microsoft’s relationship with OpenAI and what it reveals about cloud infrastructure, AI dependence, governance, and the massive ecosystem required to train frontier AI models.Then we get into the explosion of data center energy demand and why the AI boom is accelerating investment into cleaner energy systems like geothermal power. KD explains the tradeoffs between economic growth, energy consumption, environmental concerns, and why developers will continue to play a central role in the future of digital infrastructure. We also unpack why companies are shifting hiring strategies toward experienced engineers instead of relying heavily on junior talent paired with AI tools. KD explains why repetition, real-world problem solving, and operational experience still matter in an era dominated by automation and AI acceleration. In this episode’s Q&A, we cover: The difference between human error and incompetence How to explain technical jobs to non-technical people When businesses should automate processes The difference between building systems and operating them How deeply engineers should learn specific technologies We close with a mindset conversation about priorities, discipline, and why people with the same amount of time can still produce radically different outcomes.CHAPTERS: 02:00 - Microsoft, OpenAI, and AI power dynamics08:00 - Data centers, energy demand, and geothermal power14:00 - Why companies are prioritizing experienced workers19:00 - Human error vs incompetence26:00 - Explaining technical jobs to non-technical people 31:00 - When should you automate a process?37:00 - Building systems vs operating systems 44:00 - How deeply should engineers learn technologies?50:00 - Priorities, discipline, and performance#SoftwareSundays #OpenAI #Microsoft #AI #DataCenters #CleanEnergy #SoftwareEngineering #CyberSecurity #CloudComputing #Geothermal #Technology #Leadership #BuildLearnImpact #TechCareers #Engineering
Transcribe →AWS MCP Servers Released, Government AI Oversight & Anthropic’s Supercomputer Expansion
May 1001:00:17Tap to summarizeThis week on Software Sundays, KD breaks down the next phase of the AI race — and why the conversation is shifting from just software to infrastructure, governance, and system-level engineering.We start with AWS making its MCP server generally available and what that means for coding agents like Cursor, Codex, and Claude Code. KD explains how MCP servers help AI tools access real-time API documentation, reduce outdated dependencies, and unlock more autonomous development workflows across cloud environments.Then we get into the White House reconsidering its approach to AI regulation. As AI systems become deeply integrated into healthcare, education, cybersecurity, and consumer products, the conversation is shifting from “move fast” innovation toward governance, safety, compliance, and operational risk. KD explains why engineers who understand AI governance, security, and system reliability will become increasingly valuable.We also cover the massive compute partnership between Anthropic and SpaceX AI’s Colossus supercomputer facility. Anthropic gaining access to over 300 megawatts of compute power highlights a major shift happening in tech: software is no longer the primary bottleneck. Power, chips, cooling, infrastructure, and operational scale are becoming the limiting factors in AI growth.In this episode’s Q&A, KD explains: What NIST is and why its standards matter How software engineers should scope projects What it really means to be collaborative on a technical team How to manage engineering tasks effectively Three practical tips for acing technical coding interviews We close with a mindset discussion around “Be → Do → Have” and why the outcomes in your life are often the result of the actions, habits, and investments you consistently make over time. Timestamps:00:00 - Welcome and disclaimer05:00 - AWS MCP servers and AI development workflows10:00 - Why MCP servers matter for autonomous systems15:00 - The White House reconsidering AI regulation20:00 - AI safety, governance, and industry implications25:00 - Anthropic’s compute partnership with SpaceX AI30:00 - Why AI companies are becoming infrastructure companies32:00 - Why engineers still need fundamentals in the AI era35:00 - What is NIST and why does it matter?40:00 - How to scope software projects effectively42:00 - What it means to be collaborative as an engineer47:00 - How software engineers should manage tasks50:00 - Three tips for acing coding interviews54:00 - “Be, Do, Have” mindset discussion58:00 - Mother’s Day reflections and closing thoughts
Transcribe →$4.8M NJ School Cyber Attack, OpenAI Power Struggle & GitHub Reliability Issues | Software Sundays
May 300:56:27Tap to summarizeThis week on Software Sundays, KD breaks down how a simple email compromise in a New Jersey school district led to millions in stolen taxpayer funds, a budget crisis, and new debt obligations for the community.We also get into Elon Musk’s lawsuit against OpenAI, what it reveals about the fight for control of AI, and why developers need to understand who owns the models they depend on.Then KD covers GitHub’s recent availability issues, including pull request and search problems, and what they teach us about third-party dependencies, platform risk, and engineering accountability.In this episode’s Q&A, we cover how software engineers can market their services, how regression testing works, what to watch during organizational change, the difference between syntax and runtime errors, and why reading technical books can accelerate your growth.We close with a mindset reminder: stop overthinking, start trying, and build a bias toward action.Timestamps:00:00 - Welcome and disclaimer02:12 - New Jersey school district cyber attack13:45 - OpenAI, Elon Musk, and AI governance25:30 - GitHub outages and platform reliability39:10 - Why developers need to understand real-world systems43:02 - How to market your services as a software engineer52:20 - How regression testing is performed1:01:45 - What to watch during organizational change1:12:30 - Runtime errors vs syntax errors1:21:30 - Three benefits of reading technical books1:37:40 - Build a bias toward action1:47:10 - Birthday shoutouts and outro#SoftwareSundays #CyberSecurity #AI #OpenAI #GitHub #SoftwareEngineering #TechEducation #RegressionTesting #OrganizationalChange #RuntimeErrors #SyntaxErrors #TechnicalBooks #BuildLearnImpact
Transcribe →DeepSeek vs Frontier AI, Anthropic Power Moves & Why Developers Still Win
Apr 2700:57:21Tap to summarizeThis week on Software Sundays, KD breaks down the shifting AI landscape and what it actually means for builders, engineers, and the future of opportunity.We start with DeepSeek’s latest model and why it’s not competing with frontier models like OpenAI, Claude, or Gemini — but still winning in a completely different way. KD explains how open-source, low-cost models are changing distribution, accessibility, and how developers can experiment without burning through tokens.Then we get into Anthropic’s Mythos model and the tension between innovation and national security. The U.S. Treasury wants access to one of the most powerful vulnerability-detection systems, while parts of the government still treat it as a supply chain risk. KD unpacks why limiting access to the best tools could actually increase risk.We also cover the massive investments flowing into Anthropic from Google and Amazon, what “circular investment” really means, and how hyperscalers are positioning themselves to dominate the next phase of AI through infrastructure, not just applications.In this episode’s Q&A, we cover how to take care of your health as a software engineer, the real difference between threads and processes, how to run effective meetings, how many environments your application should have, and what it truly means to be competitive in today’s tech market.We close with a mindset reset on self-talk, mental health awareness, and the importance of building yourself while you build your career.Timestamps:00:00 - Welcome and disclaimer02:10 - DeepSeek vs frontier models and why cost matters10:45 - Distillation and why open-source models lag (and still win)18:20 - Anthropic Mythos, cybersecurity, and government access27:40 - AI risk: attackers vs defenders imbalance34:15 - Google & Amazon invest billions into Anthropic42:05 - Circular investments and AI infrastructure strategy49:30 - Why developers benefit from cheaper tokens25:10 - Q&A: Engineer health and avoiding burnout28:15 - Threads vs processes explained simply33:40 - How to run effective meetings39:20 - How many environments you actually need44:30 - What it means to be competitive in tech50:10 - Mindset reset: self-talk and mental health55:00 - Announcements and community updates#SoftwareSundays #AI #DeepSeek #Anthropic #CyberSecurity #SoftwareEngineering #TechCareers #Leadership #AIInfrastructure #BuildLearnImpact #Developers #Startups
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AI Capital Squeeze, Crypto Mortgages & The Future of Coding
Apr 2001:05:04Tap to summarizeThis week on Software Sundays, KD breaks down major shifts shaping the future of technology, finance, and software engineering.From the rise of new AI infrastructure players like Cerebras and what that means for NVIDIA, to Cursor’s $50B valuation and the real economics behind “vibe coding,” we explore where the market is actually headed—not just the hype.We also dive into how crypto is entering the mortgage system, what that means for access to capital, and why increased financialization creates both opportunity and risk.Finally, we answer key questions every builder should be thinking about:- What secure coding actually means in practice - The real challenges of working in large organizations - How to evaluate job offers strategically - Observability best practices - How to decide between building vs buying CHAPTERS: 00:00 – Intro + Mission01:00 – Cerebras IPO & The AI Infrastructure War08:30 – Cursor’s $50B Valuation & Vibe Coding16:30 – Crypto Mortgages & Financialization Risk25:00 – What Are Secure Coding Practices?30:30 – Challenges in Large Organizations36:00 – How to Evaluate a Job Offer41:30 – Observability Best Practices47:00 – Build vs Buy Decisions
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