I would not be offended if an interview was a 30 min screenshare of me agentically building something and occasionally talking out loud.
You can tell a lot about a person by how they build.
surprising how single player ai is, no one has cracked the code on how to make it multiplayer. unless i’m wrong, which if i am, where can i find the team/ tool that has cracked it?
@SarahAllali7 I was thinking of having it explore the RealReal for me every day and doing that but the screenshot idea is so good, I save so many lol 👠👗🛍️💗
@SarahAllali7 Wait, I love this. Also, if you added it to the closet app, then it could give you outfit ideas for the item(s). Similar to the suggestions tab I created. It could tell you if it's realistically a good fit (based on shape/color/known sizes)
https://t.co/48YyscviQl
Wanted to see how well 5.6 sol could do, so I too made a closet app, something I've been wanting to build for a while. Glad I didn't turn it into a company, lol.
The fastest way to build a bad tool is to keep adding to your vibe-coded demo.
A vibe-coded demo is valuable because it validates the idea and signals if the tool is worth pursuing. I learned the hard way that after demo validation, you need to spend real time creating a detailed plan to build a strong foundation if you want the tool to go from demo to production.
This is just the first pass, created in a day running in the background while I was working - and it suggests I have over 600 items in my closet... 🤣 SOS
Wanted to see how well 5.6 sol could do, so I too made a closet app, something I've been wanting to build for a while. Glad I didn't turn it into a company, lol.
i gave 5.6 sol access to my camera roll and had it extract pictures of every piece of clothing i own from my photos
then, told it to find new outfits for me and render them on me with gpt-image!
its kinda cool to see your entire wardrobe in a collection like this
Every inference decision maps to one of three layers. Runtime, infrastructure, or tooling.
Enjoying reading through @philipkiely's Inference Engineering book. The book gives a clean framework for understanding the inference stack.