[danenania]

> Where you specify a top-level objective, it plans out those objectives, it selects a completion metric so that it knows when to finish, and iterates/reiterates over the output until completion?

I built Plandex[1], which works roughly like this. The goal (so far) is not to take you from an initial prompt to a 100% working solution in one go, but to provide tools that help you iterate your way to a 90-95% solution. You can then fill in the gaps yourself.

I think the idea of a fully autonomous AI engineer is currently mostly hype. Making that the target is good for marketing, but in practice it leads to lots of useless tire-spinning and wasted tokens. It's not a good idea, for example, to have the LLM try to debug its own output by default. It might, on a case-by-case basis, be a good idea to feed an error back to the LLM, but just as often it will be faster for the developer to do the debugging themselves.

1 - https://plandex.ai

[aantix]

This looked very promising.

Although, it's now prompting me to make an account when I issue `plandex new`?

None of the video demos show this requirement.

I think the demos should show this requirement. Or the Quickstart docs should directly link to the self-hosted instructions.

"? Hey there! It looks like this is your first time using Plandex on this computer.

What would you like to do?

> Start an anonymous trial on Plandex Cloud (no email required)

  Sign in, accept an invite, or create an account"****

[danenania]

Thanks for the feedback. The cloud option is offered as a way to get started as quickly as possible, but self-hosting is straightforward too: https://docs.plandex.ai/hosting/self-hosting

[aantix]

Plandex and Github's Copilot Workspace are very similar. You could draw inspiration from each other.

I tweeted about Copilot Workspace the other day.

https://twitter.com/aantix/status/1819794837375263228