From what I’ve personally observed, it seems to me that though most AI founders seem to be technical enough to bring their software products to life, but not quite technical enough to know what they are actually exposing when they use AI tools both build and ship quickly. With security debt, the unfortunate reality is that this particular knowledge gap often means that when these issues come into the limelight, it's usually because something backfires publicly post launch. The worst part about this is that AI founders in specific are none the wiser, as during the build process it's often assumed that the security layer will be taken care of out of the box; though it's worth noting that this is an area that most AI code generators cannot seem to perfect, especially in 2026. That being said, here are some important fundamental baseline ideas that I think are critical for any AI founder to keep in the back of their mind, both as they build and refine their projects. This list was deducted after my many experiences talking and working with non technical founders across the board, and will go a long way in ensuring you are shipping something safe and secure! 1. Your LLM Is Not a Security Boundary To begin, this is the singular most important mindset shift that most people need to bake front and centre into their minds as soon as absolutely possible. Most assume that AI tools are built with their best interests in mind out of the box; that such tools will build whole and complete products that are functional and air tight all around. Sadly however, as mentioned above security in specific is one of the main pitfalls when it comes to building with AI code generators. Because of this, this is an imperative rule to keep in the front of your mind as you build out each and every single app element on your builds. Thus, the tools that you expose in effect define your attackers blast radius; that is, any parameter that the model in question uses MUST be treated as attacker controlled input. Often, founders will wire up their AI to databases, APIs, and critical admin functions and then assume that the model's instructions will hold throughout. However, in the event of a full fledged cyber attack (or even smaller incidents for that matter, as vulnerabilities tend to compound the more abundant they are), this is rarely the reality. Thus, prompting with security front and center should be imperative to your development process.

I am designing a mobile app and have recently watched Corbin's videos on primitives and design gallery which were super helpful (hoping you can get around the API regulations and launch 5c club), but I'm a builder not a designer. I try to use Google Stitch to help with design but don't really have a feel for what "good design" is quite yet. I can tell something's off, but not sure how to fix it. Putting a question out for anyone and everyone. How do you approach design?

I wrote an agent that will check the prices on 2.5" 1 tb ssd's as I'm looking to get one during Amazon Prime for my Proxmox Server. It works with Crawlbase Crawler. This one was done with Codex.

How many times have you been doing something with an AI and you know it did this yesterday but it has no memory of it? I made a little skill with Antigravity's help, that keeps the memory of everything we have done. I have a rule that makes sure the AI does this so I never have the AI lose it's place or forget anything.