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#243 - The 70% Problem: When AI Coding Falls Short

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Manage episode 485595811 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://podcastplayer.com/legal.

What happens when software engineers rely too heavily on AI-assisted coding tools? Brian and Zubin (an ex-Google engineer) dive deep into what they call "The 70% Problem" – the phenomenon where AI coding tools excel at initial scaffolding but falter when tackling the crucial final 30% of engineering work.
Drawing from Addy Osmani's insightful article, these experienced developers share their firsthand experiences with tools like Cursor, ChatGPT, and GitHub Copilot. They explore how AI-assisted coding creates a dangerous illusion of competence while potentially masking fundamental knowledge gaps. As Zubin aptly puts it, giving powerful AI coding tools to inexperienced developers is like "giving a Formula One car to someone who's only driven on city streets."
Visit parsity.io to learn how Brian and Zubin are training the next generation of engineers to excel in this new paradigm.

Addy Osmani's Article

VS Code Cheat Sheet

Send us a text

Shameless Plugs

Free 5 day email course to go from HTML to AI

Got a question you want answered on the pod? Drop it here

Apply for 1 of 12 spots at Parsity - Learn to build complex software, work with LLMs and launch your career.

AI Bootcamp (NEW) - for software developers who want to be the expert on their team when it comes to integrating AI into web applications.

  continue reading

Chapters

1. Introducing the 70% Problem (00:00:00)

2. AI Coding: Productivity vs Quality (00:05:11)

3. The Hidden Cost of Vibe Coding (00:08:41)

4. Why Learning Fundamentals Still Matters (00:17:50)

5. Engineering Judgment Can't Be Delegated (00:26:12)

6. Best Practices for AI as a Team Member (00:29:27)

303 episodes

Artwork
iconShare
 
Manage episode 485595811 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://podcastplayer.com/legal.

What happens when software engineers rely too heavily on AI-assisted coding tools? Brian and Zubin (an ex-Google engineer) dive deep into what they call "The 70% Problem" – the phenomenon where AI coding tools excel at initial scaffolding but falter when tackling the crucial final 30% of engineering work.
Drawing from Addy Osmani's insightful article, these experienced developers share their firsthand experiences with tools like Cursor, ChatGPT, and GitHub Copilot. They explore how AI-assisted coding creates a dangerous illusion of competence while potentially masking fundamental knowledge gaps. As Zubin aptly puts it, giving powerful AI coding tools to inexperienced developers is like "giving a Formula One car to someone who's only driven on city streets."
Visit parsity.io to learn how Brian and Zubin are training the next generation of engineers to excel in this new paradigm.

Addy Osmani's Article

VS Code Cheat Sheet

Send us a text

Shameless Plugs

Free 5 day email course to go from HTML to AI

Got a question you want answered on the pod? Drop it here

Apply for 1 of 12 spots at Parsity - Learn to build complex software, work with LLMs and launch your career.

AI Bootcamp (NEW) - for software developers who want to be the expert on their team when it comes to integrating AI into web applications.

  continue reading

Chapters

1. Introducing the 70% Problem (00:00:00)

2. AI Coding: Productivity vs Quality (00:05:11)

3. The Hidden Cost of Vibe Coding (00:08:41)

4. Why Learning Fundamentals Still Matters (00:17:50)

5. Engineering Judgment Can't Be Delegated (00:26:12)

6. Best Practices for AI as a Team Member (00:29:27)

303 episodes

All episodes

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