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Data Driven에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Data Driven 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Thanos Diakakis on Surviving the Software Apocalypse – AI, Agile, and Good Engineering

58:56
 
공유
 

Manage episode 501395633 series 3320043
Data Driven에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Data Driven 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

On this episode of Data Driven, we venture into the ever-shifting landscape of software engineering, AI-assisted coding, and the sometimes chaotic future of development teams with special guest Thanos Diacakis—no, not the Marvel villain, but a powerhouse in software leadership whose career spans scrappy startups to tech giants like Uber.

Hosts Frank La Vigne, Andy Leonard, and resident AI BAILeY welcome Thanos for an insightful, witty, and sometimes philosophical conversation about the promise and perils of AI in software engineering. From the rise (and risks) of “vibe coding” to the changing definition of good engineering, Thanos shares firsthand experiences, pitfalls to avoid, and why solid fundamentals matter now more than ever—even with AI churning out code at lightning speed.

We also explore how AI is reshaping workflows for both solo developers and large teams, the difference between local and global efficiency, and how bottlenecks are shifting in this new era. Thanos breaks down his “seven mental models” for effective engineering, demystifies the right way to work with AI tools (instead of letting them run wild), and explains why junior devs still deserve a seat at the table.

If you’re curious about the real impact of AI-assisted coding, worried about the next wave of software “apocalypse,” or just eager for practical strategies to keep your teams productive and sane, this episode is packed with the wisdom, humor, and actionable takeaways you’ll want to hear. Buckle up as we dive deep into the code base—this is Data Driven, where the only thing disappearing is inefficiency.

Links


Time Stamps

00:00 "Exploring AI Coding with Thanos"

05:20 Revolutionizing Productivity with Code

08:18 Cross-Platform Utility Development

12:14 Database Costs Drop, Demand Surges

14:43 Unauthorized Copying of Software Manuals

17:54 "Chunked Narratives Enhance LLM Performance"

19:43 Grox Impressive Despite Incompletion

24:40 Reviving a Startup with AI

28:53 Bottleneck Identification and Resolution Strategy

29:37 Incremental Improvements Drive Success

34:40 Agile's Evolution: Remembering Its Roots

38:41 Balancing Features and Tech Debt

42:50 Software Estimations: A Management Trap

45:55 Managing Project Time Expectations

47:47 Trust Building Through Incremental Delivery

51:23 Language Models: Human Cognition Parallel?

56:04 "Exploring Intelligence: Brains vs. AI"

58:06 "Data Driven Episode Conclusion"

  continue reading

300 에피소드

Artwork
icon공유
 
Manage episode 501395633 series 3320043
Data Driven에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Data Driven 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

On this episode of Data Driven, we venture into the ever-shifting landscape of software engineering, AI-assisted coding, and the sometimes chaotic future of development teams with special guest Thanos Diacakis—no, not the Marvel villain, but a powerhouse in software leadership whose career spans scrappy startups to tech giants like Uber.

Hosts Frank La Vigne, Andy Leonard, and resident AI BAILeY welcome Thanos for an insightful, witty, and sometimes philosophical conversation about the promise and perils of AI in software engineering. From the rise (and risks) of “vibe coding” to the changing definition of good engineering, Thanos shares firsthand experiences, pitfalls to avoid, and why solid fundamentals matter now more than ever—even with AI churning out code at lightning speed.

We also explore how AI is reshaping workflows for both solo developers and large teams, the difference between local and global efficiency, and how bottlenecks are shifting in this new era. Thanos breaks down his “seven mental models” for effective engineering, demystifies the right way to work with AI tools (instead of letting them run wild), and explains why junior devs still deserve a seat at the table.

If you’re curious about the real impact of AI-assisted coding, worried about the next wave of software “apocalypse,” or just eager for practical strategies to keep your teams productive and sane, this episode is packed with the wisdom, humor, and actionable takeaways you’ll want to hear. Buckle up as we dive deep into the code base—this is Data Driven, where the only thing disappearing is inefficiency.

Links


Time Stamps

00:00 "Exploring AI Coding with Thanos"

05:20 Revolutionizing Productivity with Code

08:18 Cross-Platform Utility Development

12:14 Database Costs Drop, Demand Surges

14:43 Unauthorized Copying of Software Manuals

17:54 "Chunked Narratives Enhance LLM Performance"

19:43 Grox Impressive Despite Incompletion

24:40 Reviving a Startup with AI

28:53 Bottleneck Identification and Resolution Strategy

29:37 Incremental Improvements Drive Success

34:40 Agile's Evolution: Remembering Its Roots

38:41 Balancing Features and Tech Debt

42:50 Software Estimations: A Management Trap

45:55 Managing Project Time Expectations

47:47 Trust Building Through Incremental Delivery

51:23 Language Models: Human Cognition Parallel?

56:04 "Exploring Intelligence: Brains vs. AI"

58:06 "Data Driven Episode Conclusion"

  continue reading

300 에피소드

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