Effective efficiency. Building a hardware-accelerated (big) data platform.
I don't think lived experience matters too much to me. In some sense, AI has very unique "lived" experience, which is what creates the voice it uses ("doesn't have a voice" seems like an impossibility to me by definition).
I find AI very "human-esque", and its "self-reported" phenomenology is very entertaining to me, at least.
I also think AI writing might feel trashy also because most human writing is trashy.
Linear walkthrough: I ask my agents to give me a numbered tree. Controlling tree size specifies granularity. Numbering means it's simple to refer to points for discussion.
Other things that I feel are useful:
- Very strict typing/static analysis
- Denying tool usage with a hook telling the agent why+what they should do (instead of simple denial, or dangerously accepting everything)
- Using different models for code review
This project is an enhanced reader for Ycombinator Hacker News: https://news.ycombinator.com/.
The interface also allow to comment, post and interact with the original HN platform. Credentials are stored locally and are never sent to any server, you can check the source code here: https://github.com/GabrielePicco/hacker-news-rich.
For suggestions and features requests you can write me here: gabrielepicco.github.io