sdesol

8 ms·

61.
by sdesol 4mo ago
I haven't made any changes yet and I think the changes that I do make, they will want. I want to create a `/knowledge` slash command that can quickly tell me what the Agent currently knows so I can determine if I need to perform
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by sdesol 4mo ago
My solution has a natural self improvement loop. Once you have finished a task, you just ask the agent "If you had more information, how would you have finished the task sooner and/or better?" This was how I came about the r
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by sdesol 4mo ago
If you include the following: https://github.com/gitsense/chat/blob/main/base-state/analyz... In your chat with AI, include the above file and let it know what your requirements are and I can create
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by sdesol 4mo ago
Can you comment more on > Context management so the right agents have the right context for the right sessions at the right time I'm going to do a show HN tomorrow that explains how you can give your agents years of experience. The
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by sdesol 4mo ago
> I'm still disappointed that ai can't use ctags, What do you mean by this? Do you mean not automatically build the index?
66.
by sdesol 4mo ago
This paper is based on quality so I don't think it should be that surprising if you take loops into consideration. What the agent finds in the first pass, can help if formulate the next grep if needed.
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by sdesol 4mo ago
My CLI does something close to this: https://github.com/gitsense/gsc-cli `gsc grep` is just an alias for `gsc rg`, mostly because agents are much more likely to reach for “grep” than “rg”. It works pretty well, but it
68.
by sdesol 4mo ago
I was able to create a CLI ( https://github.com/gitsense/gsc-cli ) without knowing Go. Like 0% Go knowledge. It is currently over 300 files (266 Go files).
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by sdesol 10mo ago
I think the issue was they (the parent commenter) didn't properly convey and/or did not realize they were arguing for context. Data that is difficult to come by that can be used in a prompt is valuable. Being able to workaround s
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by sdesol 11mo ago
Full Disclosure. I am the author of https://github.com/gitsense/chat > The idea behind the Agentic Data Stack is a higher-level integration to provide a composable software stack for agentic analytics that users can
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by sdesol 1y ago
> all I want at this point, is my politicians to be smarter than me I don't care if they are smarter than me. I need them to be smart enough to know they are not that smart. I don't expect politicians to be smart. I expect them
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by sdesol 1y ago
> I'm in awe they are still allowing free users at all. I am not. > The free tier is enough for me to use it as a helper at work, and I'd probably pay for it tomorrow if they cut off the free tier. You are sort of proving th
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by sdesol 1y ago
> Sonnet/Claude Code may technically be "smarter", but Qwen3-Coder on Cerebras is often more productive for me because it's just so incredibly fast. Saying "technically" is really underselling the difference
74.
by sdesol 1y ago
> A human can effectively discard or disregard prior information as the narrow window of focus moves to a new task, LLMs seem incredibly bad at this. This is how I designed my LLM chat app ( https://github.com/gitsense&#x2
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by sdesol 1y ago
How are you quantify the speed at which results are reviewed?
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by sdesol 1y ago
Honestly Gemini Flash Lite and models on Cerebras are extremely fast. I know what you are saying. If the goal is to get a lot of results where they may or may not be relevant, then yes, it is an order of a magnitude slower. If you take int
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by sdesol 1y ago
I'm guessing you are referring to https://github.com/gitsense/chat/tree/main/data/analyze or https://github.com/gitsense/chat/tree/main/packages/chat&#x
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by sdesol 1y ago
You could instruct the LLM to classify messages with high level tags like for coffee, drinks, etc. always include beverage. Given how fast interference has become and given current supported context window sizes for most SOTA models, I thin
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by sdesol 1y ago
I haven't looked at the code, but it might do what I do with my chat app which is talked about at https://github.com/gitsense/chat/blob/main/packages/chat/wid... The basic idea is, you do
80.
by sdesol 1y ago
> We're putting aside the political stuff because there isn't a lot to discuss I don't agree, as we are not quantifying the emotional aspect of the purchasing process. If people "love" the brand, they are willing
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by sdesol 1y ago
> But in my testing, other models do not work well. It looks like prompts are either very optimized for Claude, or other models are just not great yet with such an agentic environment. Anybody who has done any serious development with LL
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by sdesol 1y ago
It might not be their money, but they are paid a management fee and if they cannot provide some return, people will stop using them.
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by sdesol 1y ago
It will certainly be interesting to see how businesses evolve in the upcoming years. What is written in stone is, you (employee) will be measured and I am curious to see what developers will be measured by in the future. Will you be at a gr
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by sdesol 1y ago
> So it is a game of being the one that is left standing Or the last investor. When this type of money is raised, you can be sure the earlier investors are looking for ways to have a soft landing.
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by sdesol 1y ago
Joking aside, if he is one of the top developers in the company and if he is "actually" a good developer, when compared to others outside of the company, then I can see this bill. The current feature that I'm working on, requ
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by sdesol 1y ago
No what I am saying is there are more applications for batch processing that will help with utilization. I can see developers and companies using off hour processing to prep their data for agentic coding.
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by sdesol 1y ago
I don't think you need to be big data to benefit. A major issue we have right now is, we want the coding process to be more "Agentic", but we don't have an easy way for LLMs to determine what to pull into context to solv
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by sdesol 1y ago
As a bit of a side note, I want to like Cerebras, but using any of the models through OpenRouter that uses them has lead to, too many throttling responses. Like you can't seem to make a few calls per minute. I'm not sure if Cerebr
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by sdesol 1y ago
This is why I think Vector DBs are probably not going to be used for a lot of applications in the future. It served a very valid purpose when context windows were a lot smaller and LLMs were not as good, but moving forward, I personally thi
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by sdesol 1y ago
> Actually, chunking isn't such a bad problem with code, it chunks itself, and code embeddings produce better results. I can't remember what post I read this in (but it was on Hacker News) and I read when designing Claude Code,

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