The Marco Show

IntelliJ IDEA
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The Marco Show is a bi-weekly podcast about AI, coding, and developer tools — hosted by Marco Behler, Developer Advocate for Java at JetBrains. Before JetBrains, Marco ran a consultancy in Munich, working with clients like BMW, Wirecard, and KVB, and built software at BWSO (now tresmo). He’s also a Java and Spring trainer, conference speaker, and writer of guides, courses, and videos. Each episode brings real conversations with tech people who actually build things: opposing opinions, hot takes, and useful insights for developers who want to go deeper. New episodes every other Wednesday.

集數

  1. Hibernate vs Spring Data vs jOOQ: Understanding Java Persistence | Thorben Janssen

    10月29日

    Hibernate vs Spring Data vs jOOQ: Understanding Java Persistence | Thorben Janssen

    Thorben Janssen joins Marco to talk about the hidden power (and pain) of Java persistence frameworks. Hibernate, JPA, Spring Data, jOOQ: which one should you really use in 2025? From learning SQL the right way to surviving microservices madness, this episode is packed with hard-won lessons from decades of real-world Java work. 💡 Topics in this episode: Hibernate vs JPA vs Jakarta Data When to use jOOQ or Exposed The biggest persistence misconceptions Common performance traps (and how to avoid them) Monoliths, microservices, and “real” architecture decisions How AI might change the way we write queries ⏱️ Timestamps: (00:00) Introduction: From painful early learning to AI-generated annotations(01:02) Meet Thorben Janssen – consultant and trainer for Java persistence(02:11) Early days of Hibernate and the horror of EJB2(04:33) Main challenges in database access today(06:18) Too many tools: Hibernate, JPA, Spring Data, jOOQ – how to choose(08:15) Why understanding ORM internals really matters(09:20) How juniors should start learning persistence(10:59) SQL skills – why you still need them even with Hibernate or Spring Data(13:48) SQL essentials for beginners: what to learn first(16:01) Why Hibernate became the dominant persistence tool(18:57) Hibernate vs JPA – is there really a difference?(20:35) Hibernate API vs Jakarta Persistence API – which to use(22:10) Criteria API and DSLs for queries(23:43) Strengths and weaknesses of Spring Data JPA(27:26) Jakarta Data vs Spring Data JPA(30:53) Stateful vs stateless data models(33:21) jOOQ, Exposed, and the SQL-centric approach(37:41) Mixing Hibernate and Exposed in one project(39:33) Where Spring Data JDBC fits in(43:24) Starting a new project in 2025 – what stack to choose(45:24) The role of experience and not chasing every new trend(48:50) Monoliths, microservices, and common pitfalls(52:14) Database design vs service design – where to start(59:02) Common database performance issues(01:03:10) Why developers should collaborate with DBAs(01:06:20) Caching problems: when caches make things worse(01:09:29) Reactive database access – what happened to the hype(01:12:33) The "perfect" persistence framework – does it exist?(01:14:40) AI-assisted development and query generation(01:19:43) The AI hype cycle and developer reality(01:20:17) Other persistence models worth learning (graph, full-text search)(01:21:43) Full-text search and graph databases in practice(01:23:25) Integrating AI into applications(01:24:38) Thorben's unpopular opinions(01:26:04) Giveaway announcement(01:27:06) Rapid-fire round: Paderborn, joins, and lazy loading(01:30:00) Closing remarks 🎁 Giveaway: What’s the highest number of SQL queries you’ve ever seen one workflow generate? Best answers win JetBrains merch or IDE licenses. New episodes every other Wednesday. Subscribe for deep, developer-focused conversations.📺 Watch on YouTube: https://youtu.be/t4h6l-HlMJ8

    1 小時 30 分鐘
  2. Flyway: From Open Source Side Project to Multimillion Exit – Axel Fontaine

    10月15日

    Flyway: From Open Source Side Project to Multimillion Exit – Axel Fontaine

    Axel Fontaine, creator of Flyway, one of the most popular database migration tools, joins Marco to share how he built a global open source project, turned it into a profitable business, and sold it to Redgate. From bootstrapping alone to making millions without investors, Axel’s story is a deep dive into the business side of coding. 💡 Topics in this episode: How Flyway grew from a side project to an acquisition The power of simplicity and zero dependencies Turning open source into a sustainable business Bootstrapping vs venture capital Life after selling your company ⏱️ Timestamps: (00:00) Intro (00:54) Guest introduction (01:18) What is Flyway? (02:16) Evolution of databases and CI/CD (07:37) The idea and first version of Flyway (10:41) Competitors and why Axel built his own tool (13:27) Building Flyway’s simplicity and focus (17:30) Design principles: zero dependencies and reliability (20:18) Learning user focus through onboarding docs (23:31) How Flyway’s roadmap evolved (27:00) Handling bugs, testing challenges, and quality (31:27) Marketing and early promotion (33:49) The Maven Release Plugin blog post (36:07) Technical mistakes and lessons learned (38:28) Managing contributors and open-source community (44:44) Burnout and balancing workload (50:43) Turning Flyway into a business (52:20) Failed monetization attempts (01:09:11) Licensing, IP cleanup, and CLA process (01:30:02) First commercial release and first sale (01:31:56) Rapid revenue growth (01:39:07) Leaving consulting and going full-time on Flyway (01:44:30) Negotiating with enterprise customers (01:46:55) Acquisition interest and decision process (01:52:46) Decision to sell (02:04:57) Life after the sale and reflection (02:07:38) Key lessons for founders (02:09:50) Giveaway (02:10:47) Rapid-fire questions (02:13:18) Outro New episodes every other Wednesday. Subscribe for more deep, developer-focused conversations. 📺 Watch the episodes on YouTube: https://youtu.be/lwF2fg1fOHk

    2 小時 14 分鐘
  3. Hibernate: Myths & Over-Engineering. ORMs vs SQL vs Hexagonal — Gavin King

    10月1日

    Hibernate: Myths & Over-Engineering. ORMs vs SQL vs Hexagonal — Gavin King

    📺 Note: This episode contains screensharing and live coding examples that work best visually. If you’d like to follow along, check out the full video version on YouTube: https://youtu.be/Qvh3VFlvJnE. Gavin King (creator of Hibernate) joins Marco to cut through the myths of Java persistence. When should you skip layers of repositories and just write SQL, or even model database views? What actually causes lazy-loading pain, and how do stateless sessions help? We cover Hibernate, JPA, and where Jakarta Data is headed, plus pragmatic advice for legacy schemas, performance, and keeping your code DRY. 💡 Topics in this episode: • SQL vs repositories (and why views can be your adapter layer) • The three inheritance strategies, and the trap of table-per-class • Stateless sessions vs stateful persistence contexts • LazyInitializationException explained (and avoided) • DRY first: let architecture emerge via refactoring • Jakarta Data 1.0/1.1: annotation processing, stateful repos, dynamic queries • Performance rule-of-thumb: minimize round-trips ⏱️ Timestamps (00:00) Teaser (01:00) Gavin King intro and early Hibernate motivation (03:59) Old-school open-source culture and discovery (08:39) SQL isn’t hard: minimize DB round-trips (10:03) “Leaky abstractions are good” (and why) (12:04) Architecture should emerge from code (15:44) DRY as commandment #1 (22:05) Reviewing a typical Spring Data setup (and pitfalls) (25:39) Inheritance strategies: joined vs single table vs table-per-class (30:06) One screen? Just write a SQL query (pragmatism) (33:08) When ORM shines: operations over graphs (35:22) Use views to adapt messy legacy schemas (43:18) Jakarta Data repos: annotation-driven, step-into-able (44:59) Stateless Session: less magic, explicit updates (48:51) Jakarta Data 1.1: stateful repos, dynamic queries, reactive (01:24:22) Rapid fire questions (01:33:15) Features Gavin would delete and lessons learned (01:42:30) Giveaway New episodes every other Wednesday. Subscribe for deep, developer-focused conversations.

    1 小時 43 分鐘
  4. Software Performance: Avoiding Slow Code, Myths & Sane Approaches – Casey Muratori | The Marco Show

    9月17日

    Software Performance: Avoiding Slow Code, Myths & Sane Approaches – Casey Muratori | The Marco Show

    Casey Muratori (programmer, educator, performance advocate) joins Marco to explore why modern software feels so slow, even with today’s powerful hardware. From the infamous Windows Terminal controversy to game server limits, billion-row challenges in Java, and his unfiltered take on AI. This episode dives deep into performance, programming culture, and what developers should really care about. 💡 Topics in this episode: Why software performance matters (and how to avoid “ridiculously slow” code)The “excuse parade” developers use when things lagExpectations for game server concurrencyParsing a billion rows in Java: lessons in performanceContainers, cloud, and performance mythsAI: helpful tool or unethical theft?Why Casey would get rid of Python ⏱️ Timestamps: (00:00) Teaser (01:00) Meet Casey Muratori (04:00) The Windows Terminal story (15:00) The “excuse parade” of slow software (18:30) Game servers and performance expectations (24:00) The billion-row Java challenge (46:00) Getting 30x performance gains (52:00) Modern CPUs and performance myths (01:09:00) Should companies rewrite bloated software? (01:18:00) Casey’s take on AI (01:33:00) AI and ethics: who owns the data? (01:40:00) Rapid-fire questions: OS, IDEs, languages (01:50:00) Giveaway and Outro New episodes every other Wednesday. Subscribe for more deep, developer-focused conversations. Watch the episodes on YouTube: https://youtu.be/apREl0KmTdQ

    1 小時 52 分鐘
  5. LLMs for Devs: Model Selection, Hallucinations, Agents, AGI – Jodie Burchell | The Marco Show

    9月2日

    LLMs for Devs: Model Selection, Hallucinations, Agents, AGI – Jodie Burchell | The Marco Show

    Jodie Burchell (Data Scientist) joins Marco to cut through the hype around large language models. From GPT and Gemini to Claude and beyond — how do you really choose the right one? Benchmarks, context length, hallucinations, ethics, and AGI predictions — all on the table. If you’ve ever asked yourself, “Which LLM should I use for my work?” — this conversation will help you see past the hype. 💡 Topics in this episode: How to compare LLMs for different developer tasksEnhanced vs adaptive thinking (is it just branding?)Corporate considerations: cost, privacy, and hostingThe ethics and lawsuits shaping AI’s futurePredictions for AGI ⏱️Timestamps: (00:00:00) Teaser (00:00:37) Intro (00:01:08) From PhD and academia to data science at JetBrains (00:02:31) Early NLP versus modern LLMs (00:04:46) From LSTMs to Transformers (BERT and GPT) (00:08:49) The DeepSeek surprise and model scaling limits (00:12:25) Benchmarks, assessments, and confusion for end users (00:17:18) Choosing models in practice (00:21:10) “Thinking” models and reasoning limits (00:23:48) Do you really need the newest model? (00:25:58) Hallucinations and how to handle them (00:28:30) Agents and RAG: real-world applications (00:32:55) Vibe coding: hype versus reality (00:37:46) What are AI agents? Tools, MCP, and multi-agent apps (00:43:01) Self-hosting versus proprietary models (00:45:20) Fine-tuning explained and Hugging Face (00:50:17) Building reliable AI apps (tests, A/B, traces) (00:55:33) Privacy, company data, and self-hosting concerns (00:58:37) Ethical issues: data sourcing and labor (01:04:23) Environmental costs and the push for smaller models (01:06:26) Juniors, skills, and the future of coding with AI (01:09:15) Learning fundamentals in the age of LLMs (01:13:24) AGI: definitions, timelines, and Jodie’s twenty euro bet (01:20:03) Rapid-fire questions: slang, food, and culture (01:25:47) Giveaway (01:26:26) Outro New episodes every other Wednesday. Subscribe for more deep, developer-focused conversations. Watch the episodes on YouTube: https://jb.gg/themarco.show-youtube Follow Jodie Burchell: LinkedIn: jodieburchell Bluesky: @t-redactyl.bsky.social Mastodon: @t_redactyl@fosstodon.org Follow The Marco Show: Instagram: @themarco.show TikTok: @themarco.show

    1 小時 27 分鐘
  • 共 5 集

簡介

The Marco Show is a bi-weekly podcast about AI, coding, and developer tools — hosted by Marco Behler, Developer Advocate for Java at JetBrains. Before JetBrains, Marco ran a consultancy in Munich, working with clients like BMW, Wirecard, and KVB, and built software at BWSO (now tresmo). He’s also a Java and Spring trainer, conference speaker, and writer of guides, courses, and videos. Each episode brings real conversations with tech people who actually build things: opposing opinions, hot takes, and useful insights for developers who want to go deeper. New episodes every other Wednesday.

資訊

  • 創作者
    IntelliJ IDEA
  • 活躍年代
    2025年
  • 集數
    5
  • 年齡分級
    兒少適宜
  • 版權
    © IntelliJ IDEA
  • 節目網站
    The Marco Show

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