Comment by bredren
19 hours ago
> Do I have to read the whole transcript just to understand what's going on?
No but you will want all of the transcripts anyway.
> AI will summarize it for me?
Not exactly. You will have some question later that you would never have entertained during your thousands of conversations about code.
You’ll ask your AI something fairly abstract but it will be deep in the context of some other idea.
And the AI will find among all your conversations those turns that are relevant to solving your problem or explaining why.
I know this is the case because I’ve built this and use it every day.
Here are some examples:
1. Resume unfinished work → "where did we leave off on that?"
2. Recover the intent/scope → "what was the actual goal of this whole effort?"
3. Verify it got done → "did we ever finish that, and which session proves it?"
4. Recall a fix → "how did we fix this the last time it broke?"
I shared these and more in my post in the August “what are you working on?” thread. [0]
You would be amazed how good the agent can be at assembling queries against a corpus of transcripts and assembling the results.
My product is called Contextify: https://news.ycombinator.com/item?id=49236853
the problem w/ this is that if people actually need their logs saved...99% is to finetune custom models on their codebase later...this is a whole pipe, u neeed to refine and prune the data into proper format for reinforcement learning i think...they will never us a mac app for this, they will use same agent and have custom scripts for this. for programming ur context is the codebase..not the logs, the bot searching through all chat log is wasted tokens when they can read context from codebase directly, and if not then they can search diff....there are edge case maybe like oops i accidentally deleted this code its only in chat logs.....you simply tell to go find log and extract data....so you cant make a product on this sorry.