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Have you seen human-written code?
At least when you tell a human the indentation is wrong, they can fix it on the first try. Watched an AI agent last night try to fix indentation by using sed for 20 minutes before I just fixed it myself after cringing.
They take less than a second to run, can run on every save, and are free
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I mean... this is a deterministic task, can just run it through autoformatter? Why ask AI to do indentation of all things?
One time I explained that I was afraid of tesla full self driving, because while using it my tesla accelerated to 45mph in a parking lot that was parallel to the road and only separated by a curb. The pushback I got was "Why would you use FSD in a parking lot". Well, "Full", right? Same here. It's either capable of working unsupervised or not. And if not, you have to start wondering what you're even doing if you're a…
First, I want to summon my car. Then, when leaving, if I’m in a dense area with lots of shopping, the roads can be a pain. You have to exit right, immediately get into the left lane, three lanes over, the second of the right turn only lanes, etc
My optimization hack is that I'm using speech recognition now with Claude Code. I can just talk to it like a person and explain the full context / history of things. Way faster than typing it all out.
any options for ubuntu ?
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Llms only work in one direction, they produce the next token only. It can't go back and edit. They would need to be able to back track and edit in place somehow
"Somehow", like caching multiple layers of context, like all the free tools are now doing?
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> Lack of iteration What makes you think that agents can't iterate? > I'm going to throw them out if they are just constantly showering me with praise and telling me how much of a genius I am You can tell the agent to have the persona of an arrogant ass if you prefer it.
> What makes you think that agents can't iterate? Please RTFA or RTF top most comment in the thread. Can they? Yes. Will they reliably? If so, why would it be better to restart... But the real answer to your question: personal experience
TFA says:
Engineers use Claude Code for rapid prototyping by enabling "auto-accept mode" (shift+tab) and setting up autonomous loops in which Claude writes code, runs tests, and iterates continuously.
The tool rapidly prototypes features and iterates on ideas without getting bogged down in implementation details
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> Lack of iteration What makes you think that agents can't iterate? > I'm going to throw them out if they are just constantly showering me with praise and telling me how much of a genius I am You can tell the agent to have the persona of an arrogant ass if you prefer it.
Llms only work in one direction, they produce the next token only. It can't go back and edit. They would need to be able to back track and edit in place somehow
Plus, the entire session/task history goes into every LLM prompt, not just the last message. So for every turn of the loop the LLM has the entire context with everything that previously happened in it, along with added "memories" and instructions.
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"Somehow", like caching multiple layers of context, like all the free tools are now doing?
That's different then seeing if it's current output made a mistake or not. It's not editing in place. Your just rolling the dice again with a different prompt
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That's different then seeing if it's current output made a mistake or not. It's not editing in place. Your just rolling the dice again with a different prompt
No, the session history is all in the prompt, including the LLM's previous responses.
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No, the session history is all in the prompt, including the LLM's previous responses.
Appending more context to the existing prompt means it's a different prompt still... The text isn't the same
Think of it like an append only journal. To correct an entry you add a new one with the correction. The LLM sees the mistake and the correction. That's no worse then mutating the history.