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#230 - AI Will Replace Most Coding: What Chief Scientist Laly Bar-Ilan Says Developers Should Learn Next

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Manage episode 476978890 series 3399111
Content provided by Brian Jenney. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brian Jenney or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Send a text and I may answer it on next episode (I cannot reply from this service 😢)

Laly Bar-Ilan has been working in AI and natural language processing for over two decades—long before it was trendy. She’s now the Chief Scientist at Bit, where she’s helping build composable, AI-first developer tools that might just replace most of the coding we do today.

In this episode, we talk about what staying ahead actually looks like for developers in an AI-driven world. Laly shares what skills are becoming obsolete, what new ones are emerging (RAG, agents, prompt engineering), and why “vibe coding” alone won’t cut it.

If you’re wondering how to future-proof your dev career—or whether learning to code still matters—this conversation will give you both clarity and direction.

Connect with Laly here: Laly's Linkedin

Check out Bit to build composable software in the cloud here.

Shameless Plugs
🧠 (NEW)
Parsity's The Inner Circle Program - a highly customized roadmap to take you from 0 to hired. For career changers who want to pivot into software.

💼 Zubin's LinkedIn (ex-lawyer, former Google, Brian-look-a-like)

👂🏻Easier Said Than Done Podcast

Already a developer? Check out 👉 Not Another Course

Serious about joining Parsity? Schedule a call with me ☎️

  continue reading

Chapters

1. Meet Lali Bar-Ilan, AI Pioneer (00:00:00)

2. How Developers Stay Ahead with AI (00:02:34)

3. The Truth About Vibe Coding (00:06:04)

4. Skills for the Modern AI Developer (00:10:12)

5. Composable Software and Component Reuse (00:15:33)

6. RAG vs Fine-Tuning Models (00:26:36)

7. Closing Thoughts and Resources (00:29:45)

237 episodes

Artwork
iconShare
 
Manage episode 476978890 series 3399111
Content provided by Brian Jenney. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brian Jenney or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Send a text and I may answer it on next episode (I cannot reply from this service 😢)

Laly Bar-Ilan has been working in AI and natural language processing for over two decades—long before it was trendy. She’s now the Chief Scientist at Bit, where she’s helping build composable, AI-first developer tools that might just replace most of the coding we do today.

In this episode, we talk about what staying ahead actually looks like for developers in an AI-driven world. Laly shares what skills are becoming obsolete, what new ones are emerging (RAG, agents, prompt engineering), and why “vibe coding” alone won’t cut it.

If you’re wondering how to future-proof your dev career—or whether learning to code still matters—this conversation will give you both clarity and direction.

Connect with Laly here: Laly's Linkedin

Check out Bit to build composable software in the cloud here.

Shameless Plugs
🧠 (NEW)
Parsity's The Inner Circle Program - a highly customized roadmap to take you from 0 to hired. For career changers who want to pivot into software.

💼 Zubin's LinkedIn (ex-lawyer, former Google, Brian-look-a-like)

👂🏻Easier Said Than Done Podcast

Already a developer? Check out 👉 Not Another Course

Serious about joining Parsity? Schedule a call with me ☎️

  continue reading

Chapters

1. Meet Lali Bar-Ilan, AI Pioneer (00:00:00)

2. How Developers Stay Ahead with AI (00:02:34)

3. The Truth About Vibe Coding (00:06:04)

4. Skills for the Modern AI Developer (00:10:12)

5. Composable Software and Component Reuse (00:15:33)

6. RAG vs Fine-Tuning Models (00:26:36)

7. Closing Thoughts and Resources (00:29:45)

237 episodes

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