[izzie1234]

I love this idea. I see the AI era having 2 competing views when building something new:

1. Build X with pure <language of choice>. Why? LLMs will have less context needed, and onboarding engineers would be easier since there’ll be less overhead and opinionated frameworks knowledge required

2. Build X using well establish frameworks. Painful in the beginning since you’ll not only need language knowledge, but framework knowledge. The upshot, is scaling and maintainability

I love that this ecosystem will heavily pressure teams to consider (2) more and more — solving the very real “AI slop” problem

[yassi_dev]

Thats an interesting way to frame it.

In my view. Building things with AI creates the need for common patterns and guardrails (i.e. frameworks) Then as these new apps become productionalized - tooling that fits your framework starts to become more important.

In that sense, AI increases the need for good patterns around observability. This project aims to make this a little easier to do for Django right from inside the framework as opposed to an external service.