@youraveragetechbro's reel — transcript & breakdown

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This how I created a 24/7 AI on call engineer using the various AI native coding principles I covered in the first three videos of my how to become a 10X AI native developer series by combining powerful validation and verification skills that teach models how to use your application and test your application, as well as the power of cloud coding agents, we are able to create an autonomous system that is able to receive any errors that tools like Sentry or Posthog throw and then it automatically spins up cloud coding agents that reproduce the error, fix it forward, and verify the fix works with validation and verification skills, ultimately creating a 24/7 on call SWE that fixes bugs for me while I sleep. #coding #ai #developer
2:43

Audio

Calm lo-fi beat playing in the background

Lo-fiChillSlow

Caption

This how I created a 24/7 AI on call engineer using the various AI native coding principles I covered in the first three videos of my how to become a 10X AI native developer series by combining powerful validation and verification skills that teach models how to use your application and test your application, as well as the power of cloud coding agents, we are able to create an autonomous system that is able to receive any errors that tools like Sentry or Posthog throw and then it automatically spins up cloud coding agents that reproduce the error, fix it forward, and verify the fix works with validation and verification skills, ultimately creating a 24/7 on call SWE that fixes bugs for me while I sleep. #coding #ai #developer

Hook

I created a 24/7 AI on call engineer that fixes errors and bugs for me while I sleep.

0:00Hook

The bold claim of an AI engineer working 24/7 piques immediate interest.

“I created a 24/7 AI on call engineer that fixes errors and bugs for me while I sleep.”

0:05Setup

The speaker contextualizes this video within a series, highlighting the evolution of his AI development process.

“And I want to show you how it works. This is episode 4 of 7 in my How to Become a 10X AI Native Developer series.”

0:38Content

He explains the first step of the AI system, capturing errors, using PostHog as an example.

“So first you need to have some type of service that will capture errors within your app.”

0:50Content

He details how the AI on-call engineer receives the error and initiates a cloud coding agent for reproduction and fixing.

“And this is essentially the starting point for my 24/7 AI on call engineer.”

1:30Content

The speaker outlines the AI's decision-making process for merging code based on risk assessment.

“It then determines how big or how small of a risk it is to merge this without me being involved.”

1:50Social Proof

He builds trust by explaining the multi-model review process before merging, adding a layer of validation.

“And then lastly before getting it merged, it actually gets reviewed by other models as well.”

2:09Recap

He summarizes the cost-effectiveness and efficiency of his AI-native approach for his startup.

“Don't get me wrong, it's not cheap paying for all three AI subscriptions, but it's cheaper than hiring a full engineer to do this work for me.”

2:37CTA

A direct call to action to watch the next video addresses a common concern about code quality.

“And I know some of you are wondering how do I keep the code quality high and not bloated? I'll dive deeper into that in the next video in this series.”

Details

Account@youraveragetechbro
Posted (UTC)
Date (UTC)Oct 5, 2026
Duration163.2s
Last synced (UTC)

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