notahan
Joined 4 months ago
Joined 4 months ago
I feel like the whole concept of harness and LLMs IS to pick random tokens which make sense. Think about this as a solution space (a very complex one), then the harness and the LLM are moving towards the local minima at which the code is complete. This is akin to how we think about AI anyways.
I have tried out some of the popular tools and I'm using opencode on desktop and I use pi via termux on android for when I'm on the go. I think the current direction of PRD -> review -> execute -> debug is in many cases the right mindset.
Working with a team of fresh graduates, I see that working with any vibe coding tool is like being a manager, not a developer. I think that's what you miss, you miss being a developer but the vibe coding tools make you a manager which isn't something that you might enjoy.
Nonetheless, I do think that there are some interesting things to do with pi. I'm just getting started, if anyone has an interesting workflow in pi, I would be interested in trying it out!
Imagine this: you need to build a new CRUD app but your AI agent spends 20M toks on just writing it's own custom login function, that's a waste of time and money. I would not like to have a new system developed for me in such cases. I think we need a test where the agents are more specifically tasked to find technologies worth integrating and hence write the fewest lines of code.