با برنامه Player FM !
#243 - The 70% Problem: When AI Coding Falls Short
Manage episode 485595811 series 3399111
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.
Shameless Plugs
🧑💻 Join Parsity - For career changers who want to pivot into software.
✉️ Got a question you want answered on the pod? Drop it here
Zubin's LinkedIn (ex-lawyer, former Googler, Brian-look-a-like)
فصل ها
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)
257 قسمت
Manage episode 485595811 series 3399111
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.
Shameless Plugs
🧑💻 Join Parsity - For career changers who want to pivot into software.
✉️ Got a question you want answered on the pod? Drop it here
Zubin's LinkedIn (ex-lawyer, former Googler, Brian-look-a-like)
فصل ها
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)
257 قسمت
همه قسمت ها
×به Player FM خوش آمدید!
Player FM در سراسر وب را برای یافتن پادکست های با کیفیت اسکن می کند تا همین الان لذت ببرید. این بهترین برنامه ی پادکست است که در اندروید، آیفون و وب کار می کند. ثبت نام کنید تا اشتراک های شما در بین دستگاه های مختلف همگام سازی شود.