The Programming Podcast

• Is PewDiePie Secretly a Coding Genius?

  Is PewDiePie a better software developer than you? The answer might shock you (and make you rethink your entire career). While many developers get stuck on "ideas," PewDiePie just shipped an impressive, custom-built AI application.SITE https://www.programmingpodcast.com/💡 Sponsor: Level Up Financial PlanningChanging careers or increasing your income? Get financial clarity with Level Up Financial Planning—helping early and mid-career tech professionals secure their financial future. Visit LevelUpFinancialPlanning.com for a free consultation!https://www.levelupfinancialplanning.com/Stay in Touch:📧 Have ideas or questions for the show? Or are you a business that wants to talk business?Email us at [email protected]!Danny Thompsonhttps://x.com/DThompsonDevhttps://www.linkedin.com/in/DThompsonDevwww.DThompsonDev.comLeon Noelhttps://x.com/leonnoelhttps://www.linkedin.com/in/leonnoel/https://100devs.org/📧 Have ideas or questions for the show? Or are you a business that wants to talk business?Email us at [email protected]!On this episode of The Programming Podcast, Danny Thompson and Leon Noel dive into PewDiePie's journey from gamer to engineer, exploring how he built his own AI chat agent from the ground up to protect his privacy from Big Tech. We break down the tech stack he used (custom UI, RAG, distributed agents), the $20,000 hardware cost, and the "pure joy" of building that many senior devs have lost.But the real lesson isn't about PewDiePie—it's about you.We discuss the hard truth: people with a fraction of your talent are lapping you simply because they build in public and create "public proof" of their skills. Are you hiding your best work in private GitHub repos?Danny shares a powerful analogy: If someone offered you $20,000 to get 10 networking conversations in a week, you'd do it. Why aren't you doing it for the $100,000 job you want?We also cover Danny's new free, open-source project, "Commit Your Talk," designed to help developers conquer public speaking, and how to find the "hidden" junior developer jobs that are never posted on LinkedIn.Plus, we answer a question from the community: "As an introvert, how do I learn to network?"00:00:00 - The Hook: "You're Letting People Lap You"00:01:11 - Is PewDiePie a Better Developer Than You?00:02:11 - PewDiePie is "Living The Engineering Dream"04:47 - Danny's New FREE Project: "Commit Your Talk"05:32 - Why developers get nervous advocating for themselves07:38 - Why Toastmasters doesn't always work for devs08:40 - Leon's "Banky Brunch" for behavioral practice10:10 - Sponsor: Level Up Financial Planning11:15 - Back to PewDiePie: The Power of Just SHIPPING12:22 - The real reason PewDiePie built his own AI app13:33 - The Big Tech Lie: "Delete" Does Not Mean Delete15:37 - Inside PewDiePie's Impressive AI Tech Stack (RAG, Agents)17:18 - The "Pure Joy" of building (and why we lose it)19:14 - The Hard Truth: People With Half Your Talent Are Lapping You21:24 - Your private GitHub repo is worthless (The Power of Public Proof)23:23 - The $20,000 Cost of True AI Privacy25:21 - The local AI hardware arms race (Nvidia 5090s)28:46 - Are we in an AI bubble?31:40 - Why Local Models & SLMs (Small Language Models) are the future35:24 - "You Don't Need to Cure Cancer With Code, Just Build"38:45 - The $20k Challenge vs. Your $100k Career (Leon's Mic Drop)41:46 - How to Find The "Hidden" Junior Dev Jobs (Not on LinkedIn)44:22 - The problem with "hot topics" vs. "accurate" info47:25 - Mailbag: "How Do I Network as an Introvert?"50:30 - Leon's Answer: Networking is about finding a champion53:35 - Danny's Answer: The "Punch in the Face" Analogy57:40 - Stop "networking," start "having conversations"1:01:33 - The Ultimate Networking Cheat Code: A well-placed question1:03:35 - Wrap-up and Sign-off

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• "It's a simple JavaScript fix!" (Spoiler: IT WASN'T)

  You know that “it’s a simple fix” task that eats your entire sprint? If you liked this episode or if this saved you a sprint: like, subscribe, and share with your team. Comment your worst “simple fix” story! We’ll feature a few next episode!This episode is about going from “just parse the RSS” to a real system with cron jobs, a database, SSR, caching, pagination, title-matching pain, and a YouTube Data API gotcha where deleted videos still show up and break your counts. We unpack the technical rabbit hole, the product/process mistakes that made it worse, and the practical fixes you can ship today.SITE https://www.programmingpodcast.com/Stay in Touch:📧 Have ideas or questions for the show? Or are you a business that wants to talk business?Email us at [email protected]!Danny Thompsonhttps://x.com/DThompsonDevhttps://www.linkedin.com/in/DThompsonDevwww.DThompsonDev.comLeon Noelhttps://x.com/leonnoelhttps://www.linkedin.com/in/leonnoel/https://100devs.org/📧 Have ideas or questions for the show? Or are you a business that wants to talk business?Email us at [email protected]!Highlights- Why YouTube RSS only returns ~15 items, and when to switch to the Data API-The sneaky “deleted video” entries that broke episode matching (and the 4-line filter that fixed it)- Cron + DB to avoid on-request parsing delays, with lazy loading/pagination for perf- Levenshtein vs. AI scraping for cross-platform title matching (and tradeoffs)- SSR for SEO: hydration pitfalls, view-source reality checks, and caching strategy- Process: ticket sizing gone wrong, sprint rituals that would’ve saved weeks, and a fallback plan when APIs fail- Career bit (Huntober): the highest-ROI job-hunt moves—ask directly for referrals and quantify your wins so AI can actually write a good resumeWhat You’ll LearnWhen RSS is fine—and when you must use YouTube Data API v3Designing a resilient ingestion path (cron triggers, rate limits, cost control)Secure API key handling and avoiding accidental exposureConcrete heuristics for matching episodes across platformsThe “fallback first” mindset when upstream services go downStack & Tools MentionedNext.js/SSR, Tailwind/CSS (retro radio UI), cron + DB ingest, YouTube Data API v3, Spotify RSS, Levenshtein distance, AI/LLM parsing workflow, lazy loading/pagination, caching.Chapters00:00 It’s “simple”… until it isn’t (cold open)02:00 50 episodes milestone + data-driven intros03:20 New personal site goals (personas, UX, content routing)06:04 Rotary-dial content hub idea07:42 Plan A: “Just use Spotify/YouTube RSS”08:56 Parsing delays → cron + DB ingest11:00 Release cadence (Thurs AM CT) & autosync plan12:07 YouTube RSS ≈ 15 items?!13:19 Enabling YouTube Data API v3 (the missing step)14:22 Title matching fails; publish vs. upload date mismatch16:31 AI scrape workflow vs. deterministic pipelines17:13 Levenshtein distance for fuzzy matching18:53 The painful bug: deleted YouTube videos still in API20:20 Security considerations for API keys21:08 Retro CSS “radio” UI + Tailwind23:01 From 2 points to full sprint (scope creep lessons)24:03 Rate limits, CORS, and API cost control24:54 SSR for SEO, hydration errors, caching26:24 Web creativity is back (experimentation talk)27:29 Sprint Zero / refactor time that saves real sprints28:24 Resilience: API fallback to RSS29:18 Perf: lazy loading & pagination30:01 Tests vs. cowboy deploys (real talk)31:20 Takeaways: when to keep it simple vs. do it right36:01 What is Huntober?37:41 Highest-ROI job hunt move: ask for referrals39:07 Make AI useful: quantify your work41:15 Outro

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• Why 95% of Enterprise AI Projects FAIL! CEO of Apollo GraphQL, Matt DeBergalis

  AI is writing more code than anyone expected. Some of it is great. A lot of it is just okay. In this episode, Danny Thompson and Leon sit down with Matt DeBergalis, CEO of Apollo GraphQL, to unpack what it will take to move from a gold rush of mediocrity to production-grade agentic experiences that users can trust.Guest Co-Host: Matt DeBergalishttps://www.linkedin.com/in/debergalis/https://www.apollographql.com/ @ApolloGraphQL SITE https://www.programmingpodcast.com/Stay in Touch:📧 Have ideas or questions for the show? Or are you a business that wants to talk business?Email us at [email protected]!Danny Thompsonhttps://x.com/DThompsonDevhttps://www.linkedin.com/in/DThompsonDevwww.DThompsonDev.comLeon Noelhttps://x.com/leonnoelhttps://www.linkedin.com/in/leonnoel/https://100devs.org/📧 Have ideas or questions for the show? Or are you a business that wants to talk business?Email us at [email protected]!We dig into the real gap behind AI project failures and it is not the models. Matt explains why agentic development stalls inside enterprises, how microservice sprawl blocks useful AI, and where GraphQL functions as the control plane that unifies data, streaming, and context so agents can actually do work. We cover the early hype around MCP servers, why many of them ship without OAuth, and a concrete checklist for securing costs and credentials before you flip the switch.You will hear where shopping, search, and SEO are headed as prompt boxes replace search boxes. We get into the gravity that pulls models toward stacks with the most public code, what that means for React, Rust, Python, and the long tail, and how developers can future proof their careers by mastering fundamentals like orchestration, context control, and system design instead of chasing every weekly model benchmark.We wrap with a practical path for job seekers. Breadth over tool loyalty. Weekly small projects. Use AI for the first 75 percent, then own the last 25 percent with clear prompts and better workflows.Who this episode is for- Engineering leaders trying to turn AI prototypes into products- Senior and staff engineers learning agent orchestration- Devs curious about MCP, GraphOS, and secure tool callingYou will learn- Why 95 percent of agentic projects fail and what capability is missing- How GraphQL unifies fragmented systems for agents, including streaming and precise context selection- A security and cost control checklist for MCP style tool calling- How hiring rubrics are shifting toward communication, systems thinking, and curiosity- A weekly practice plan to build portfolio proof fastHighlightsGold rush of mediocrity and what to do about itFrom REST to stateful agents and why the old web stack creaksEvery search box becomes a prompt boxThe 75 and 25 rule for productive AI assisted codingTool breadth over tool loyalty for career advantageChapters00:00 Cold open. Why most agentic projects fail01:00 Theme setup. The gold rush of mediocrity01:30 Host and guest introductions03:00 MCP excitement vs reality. From laptop tools to real products06:15 Security and spend. OAuth gaps, scoped keys, rate limits, audit logs09:00 Distribution shift. Generative SEO and agentic checkout13:10 Centralization gravity. Why models favor stacks with more public code18:00 Foundations. Unifying services with GraphQL and streaming tokens24:10 Controlling the context window with field selection26:30 Should developers learn this now31:30 Fundamentals over benchmarks. MCP, RAG, evals42:00 Hiring in the agent era. Communication, systems thinking, curiosity48:00 Prompt quality and the last mile53:00 Audience question. Tools to explore and a weekly practice plan59:30 Closing recap and CTA

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• How GREAT Senior Software Engineers Think! (Steal these 9 TIPS!) Kent C. Dodds

  Senior engineers don’t “wing it.” They use mental models to turn plans into production—faster, safer, and with less drama. Danny Thompson, Leon Noel, and Kent C. Dodds break down the exact models they use: decision docs, second-order thinking, reducing cognitive load, Occam’s Razor, leaky abstractions, feature flags vs. staging, chaos engineering, AI context windows (and rot), MCP, onboarding docs, blind code reviews, and more. If you’re pushing from mid → senior (or trying to sound senior in interviews), steal these.Guest: Kent C. Dodds!https://kentcdodds.com/https://x.com/kentcdodds @KentCDodds-vids SITE https://www.programmingpodcast.com/Stay in Touch:📧 Have ideas or questions for the show? Or are you a business that wants to talk business?Email us at [email protected]!Danny Thompsonhttps://x.com/DThompsonDevhttps://www.linkedin.com/in/DThompsonDevwww.DThompsonDev.comLeon Noelhttps://x.com/leonnoelhttps://www.linkedin.com/in/leonnoel/https://100devs.org/📧 Have ideas or questions for the show? Or are you a business that wants to talk business?Email us at [email protected]!You’ll learn→ How to communicate invisible work like a senior (impact vs activity)→ Decision documents: making tradeoffs explicit→ Second-order thinking to prevent “future bugs”→ When to ship fast with flags vs. slow with staging→ Designing for onboarding—humans and AI assistants→ Using AI without nuking your circle of competence→ Local job tactics (Memphis example), recruiters, and “entry-level” framingIf this helped, hit 👍 and subscribe. Drop your favorite mental model in the commentsChapters00:00 Cold open — “When plans break in prod”00:36 Why mental models matter for seniors02:45 Define “mental model” (map vs. territory)05:22 Intros + episode setup07:05 Decision documents & guiding principles10:48 Coaching moments: easy vs. right solutions12:56 Second-order thinking (caching, short links, spam)15:58 Occam’s Razor in real engineering decisions18:12 Onboarding for Future-You (and your AI)20:44 Tests as guardrails for humans + LLMs22:18 AI context windows, “context rot,” and structure24:55 Circle of competence in the AI era27:18 Should juniors use AI? The real risks30:06 Shipping fast vs. learning deep: when to limit AI31:55 Interviews are changing: system design vs LeetCode33:42 Confidence traps: getting gaslit by your prompts36:00 Too many abstractions → leaky abstractions38:40 Blind code reviews & cross-team learning41:20 Google-style anonymous reviews (tradeoffs)44:00 Feature flags vs. staging (the spicy debate)46:52 Chaos engineering & safe rollouts in prod49:10 Pragmatism over dogma: what actually ships50:58 Kent’s Epic AI cohort & MCP primer54:20 Listener Q&A: local vs. remote, .NET vs. Node1:00:45 Ask Danny, Leon, And Kent!

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• The World's Most Popular Teacher Reveals The Secret to Learning ANYTHING.

  Are you studying for hours but still not retaining anything? 🧠 It's probably not your fault, you've likely been taught to learn all wrong.In this landmark episode, we sit down with the legendary Dr. Barbara Oakley, a Distinguished Professor of Engineering at Oakland University, a globally recognized expert on the science of learning, and the creator of the world's most popular online course, "Learning How to Learn," which has reached millions worldwide. Dr. Oakley shares her incredible journey from flunking math and hating school to becoming a world-renowned expert on the neuroscience of learning.Get ready to have your mind blown as Dr. Oakley debunks the biggest myths about studying, reveals the simple, science-backed secrets to mastering any subject, and explains how to beat procrastination for good. You'll walk away with actionable techniques to unlock your brain's true potential.She is best known for making complex concepts from neuroscience and cognitive psychology accessible to a mass audience, empowering millions to learn more effectively. Her own life story is a testament to her core message: anyone can learn anything.Dr. Oakley is most famous as the co-creator of "Learning How to Learn: Powerful Mental Tools to Help You Master Tough Subjects," one of the most popular massive open online courses (MOOCs) in the world. Hosted on Coursera, the course has enrolled millions of learners from every country, teaching them practical, science-backed strategies for learning.Her work has been featured in major publications like The New York Times and The Wall Street Journal. She is also the author of several books, including the bestseller "A Mind for Numbers," which serves as a companion to her course.Places you can follow Dr. Barbara Oakley📚 Dr. Oakley's Book | A Mind for Numbers: https://barbaraoakley.com/books/a-mind-for-numbers/🎓 The "Learning How to Learn" Course: https://www.coursera.org/learn/learning-how-to-learnStay in Touch:📧 Have ideas or questions for the show? Or are you a business that wants to talk business?Email us at [email protected]!Danny Thompsonhttps://x.com/DThompsonDevhttps://www.linkedin.com/in/DThompsonDevwww.DThompsonDev.comLeon Noelhttps://x.com/leonnoelhttps://www.linkedin.com/in/leonnoel/https://100devs.org/📧 Have ideas or questions for the show? Or are you a business that wants to talk business?Email us at [email protected]!Chapters0:00 - A Teacher's Powerful Introduction to Dr. Barb Oakley4:05 - From "I Will Never Learn Mathematics" to Distinguished Professor5:42 - The Single Most Critical Skill in the Age of AI8:12 - How Learning a Language Unlocks Your Brain for Math & Science9:58 - The #1 Mistake We All Make When Learning a Difficult Subject14:30 - The Unconventional Path to Becoming a Professor23:11 - The 2 Brain Modes You MUST Understand (Focused vs. Diffuse) 🤯29:22 - A Modern, Scientific Twist on the Pomodoro Technique32:38 - WARNING: This Popular Study Method is a Waste of Your Time34:18 - The Surprising Problem with "Student-Centered" Classrooms40:12 - Proof That Your Phone is Destroying Your Ability to Focus45:35 - The Neuroscience of Dyslexia & Autism: Your Brain's Secret Superpower51:11 - The Emotional Side of Learning: Dealing with Fear, Shame & Procrastination56:33 - Why Impostor Syndrome is Actually a GOOD Thing1:07:28 - How to Use Sleep to Supercharge Your Memory 😴1:15:17 - The Future of Learning: How AI Will Change Everything1:23:36 - How to Use AI to Learn (Without Cheating Yourself)1:32:32 - Q&A: The Best Way to Create a Daily Structure for Learning1:44:52 - Dr. Oakley's Final Inspiring Message

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