Yeah, I’ve been using it heavily. While someone without technical knowledge will surely allow AI to build a highly insecure app, people with more technological knowledge are going to propel things to a level where the less tech savvy will have fewer and fewer pitfalls to fall into.
For the past two months, I’ve been leveraging AI to build a CUE system that takes a user desire (e.g. “i want to deploy a system with an app that uses a database and a message queue” expressed as a short json) and converts a simple configuration file that unpacks into all the kubernetes manifests required to deploy the system they want to deploy.
I’m trying to be fully shift-left about it. So, even if the user’s configuration is as simple as my example, it should still use CUE templating to construct the files needed for a full DevSecOps stack - Ingress Controller, KEDA, some kind of logging such as ELK stack, vulnerability scanners, policy agents, etc. The idea is the every stack should at all times be created in a secure state. And extra CUE transformations ensure that you can split the deployment destinations in any type of way, local/onprem, any cloud provider, or any combination thereof.
The idea is that if I need to swap out a component, I just change one override in the config and the incoming component already knows how to connect to everything and do what the previous component was doing because I’ve already abstracted the component’s expected manifest fields using CUE. So, I’d be able to do something like changing my deployment from one cloud to another with a click of a button. Or build up a whole new fully secure stack for a custom purpose within a few minutes.
The idea is I could use this system to launch my own social media app, since I’ve been planning the ideal UX for many years. But whether or not that pans out, I can take my CUE system and put a web interface over it to turn it into a mostly automated PaaS. I figure I could undercut most PaaS companies and charge just a few percentage points above cost (using OpenCost to track the expenses). If we get to the point where we have a ton of novices creating apps with AI, I might be in a lucrative position if I have a PaaS that can quickly scale and provide automated secure back ends.
Of course, I intend on open sourcing the CUE once it’s developed enough to get things off the ground. I’d really love to make money from my creative ideas on a socialized media app that I create, am less excited about gatekeeping this kind of advancement.
Interested to know if anyone has done this type of project in the past. Definitely wouldn’t have been able to move at nearly this speed without AI.
Yeah, I’ve been using it heavily. While someone without technical knowledge will surely allow AI to build a highly insecure app, people with more technological knowledge are going to propel things to a level where the less tech savvy will have fewer and fewer pitfalls to fall into.
For the past two months, I’ve been leveraging AI to build a CUE system that takes a user desire (e.g. “i want to deploy a system with an app that uses a database and a message queue” expressed as a short json) and converts a simple configuration file that unpacks into all the kubernetes manifests required to deploy the system they want to deploy.
I’m trying to be fully shift-left about it. So, even if the user’s configuration is as simple as my example, it should still use CUE templating to construct the files needed for a full DevSecOps stack - Ingress Controller, KEDA, some kind of logging such as ELK stack, vulnerability scanners, policy agents, etc. The idea is the every stack should at all times be created in a secure state. And extra CUE transformations ensure that you can split the deployment destinations in any type of way, local/onprem, any cloud provider, or any combination thereof.
The idea is that if I need to swap out a component, I just change one override in the config and the incoming component already knows how to connect to everything and do what the previous component was doing because I’ve already abstracted the component’s expected manifest fields using CUE. So, I’d be able to do something like changing my deployment from one cloud to another with a click of a button. Or build up a whole new fully secure stack for a custom purpose within a few minutes.
The idea is I could use this system to launch my own social media app, since I’ve been planning the ideal UX for many years. But whether or not that pans out, I can take my CUE system and put a web interface over it to turn it into a mostly automated PaaS. I figure I could undercut most PaaS companies and charge just a few percentage points above cost (using OpenCost to track the expenses). If we get to the point where we have a ton of novices creating apps with AI, I might be in a lucrative position if I have a PaaS that can quickly scale and provide automated secure back ends.
Of course, I intend on open sourcing the CUE once it’s developed enough to get things off the ground. I’d really love to make money from my creative ideas on a socialized media app that I create, am less excited about gatekeeping this kind of advancement.
Interested to know if anyone has done this type of project in the past. Definitely wouldn’t have been able to move at nearly this speed without AI.