Artwork

Kandungan disediakan oleh Startup Hustle. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Startup Hustle atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
Player FM - Aplikasi Podcast
Pergi ke luar talian dengan aplikasi Player FM !

Why We Still Need Software Engineers in the Age of AI with Brian Jenney

29:56
 
Kongsi
 

Manage episode 523755847 series 1942373
Kandungan disediakan oleh Startup Hustle. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Startup Hustle atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

AI can scaffold an app in seconds, but can it refactor that thousand-line React file when the first bug hits production?

In this episode, I sit down with Brian Jenney software engineer and program owner of the coding bootcamp Parsity, to draw a hard line between “code that runs” and “code that lasts.” From mentoring career-switchers to stress-testing AI in real-world pipelines, Brian shares why craftsmanship and product judgment still beat copy-paste prompts.

🔗 Essential Links (Start Here!):

Full Episodes: https://product-driven.captivate.fm/episodes

Connect with Matt Watson on LinkedIn: https://www.linkedin.com/in/mattwatsonkc/

Subscribe to the Newsletter: https://newsletter.productdriven.com/

Powered by Full Scale: https://fullscale.io/

GET THE PRODUCT DRIVEN BOOK: https://productdriven.com/book

Connect with Brian on LinkedIn :https://www.linkedin.com/in/brianjenney/

Check out Parsity here: https://www.parsity.io/

Key Discussion Points:

“You have to be smarter than the AI.” Why blindly shipping generated code is the fastest way to paint yourself into a technical-debt corner

The hidden risk of non-deterministic models—like failing a simple “greater-than” check in production tests

A training rule of thumb: no AI for your first months of study, then use it only to reinforce fundamentals—not replace them

The “house-of-cards” analogy for code quality and why maintainability still matters when AI writes the first draft

How Parsity’s tight-knit model turns plumbers, teachers, and even doctors into disciplined, product-minded engineers

  continue reading

1352 episod

Artwork
iconKongsi
 
Manage episode 523755847 series 1942373
Kandungan disediakan oleh Startup Hustle. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Startup Hustle atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

AI can scaffold an app in seconds, but can it refactor that thousand-line React file when the first bug hits production?

In this episode, I sit down with Brian Jenney software engineer and program owner of the coding bootcamp Parsity, to draw a hard line between “code that runs” and “code that lasts.” From mentoring career-switchers to stress-testing AI in real-world pipelines, Brian shares why craftsmanship and product judgment still beat copy-paste prompts.

🔗 Essential Links (Start Here!):

Full Episodes: https://product-driven.captivate.fm/episodes

Connect with Matt Watson on LinkedIn: https://www.linkedin.com/in/mattwatsonkc/

Subscribe to the Newsletter: https://newsletter.productdriven.com/

Powered by Full Scale: https://fullscale.io/

GET THE PRODUCT DRIVEN BOOK: https://productdriven.com/book

Connect with Brian on LinkedIn :https://www.linkedin.com/in/brianjenney/

Check out Parsity here: https://www.parsity.io/

Key Discussion Points:

“You have to be smarter than the AI.” Why blindly shipping generated code is the fastest way to paint yourself into a technical-debt corner

The hidden risk of non-deterministic models—like failing a simple “greater-than” check in production tests

A training rule of thumb: no AI for your first months of study, then use it only to reinforce fundamentals—not replace them

The “house-of-cards” analogy for code quality and why maintainability still matters when AI writes the first draft

How Parsity’s tight-knit model turns plumbers, teachers, and even doctors into disciplined, product-minded engineers

  continue reading

1352 episod

Semua episod

×
 
Loading …

Selamat datang ke Player FM

Player FM mengimbas laman-laman web bagi podcast berkualiti tinggi untuk anda nikmati sekarang. Ia merupakan aplikasi podcast terbaik dan berfungsi untuk Android, iPhone, dan web. Daftar untuk melaraskan langganan merentasi peranti.

 

Panduan Rujukan Pantas

Podcast Teratas
Dengar rancangan ini semasa anda meneroka
Main