bonigv

5 ms·

1.
by bonigv 3mo ago
TL;DR; You can save ~50-60% context tokens spent in exploration w/o compromising quality by delegating exploration to a local LLM. The cost is the execution time. Which can vary depending on how good your local llm hardware setup is.
2.
by bonigv 3mo ago
You are absolutely right about what we feel intuitively - LSPs should beat the shit out of the competition. But surprisingly it did not. Across 10 different LSP servers, across 5 different levels of prompt complexity it did not. Mind you
3.
by bonigv 3mo ago
oh! I thought this was like bash w/o verbosity. That is a tool I would love to see. bash4llm . May be llike Gandhi said - I should be the change you want to see!
4.
Show HN: Is grep enough? A transparent benchmark for agentic code navigation(entelligentsia.github.io)
4 points by bonigv 3mo ago|2 comments
5.
by bonigv 3mo ago
Bruno, if we are operating the agent (assuming coding-agent ) in an environment where the build and test tools as well the source code lives, why would we need an additional step to supply context? Wouldn't even the most basic of agen
6.
by bonigv 3mo ago
Agree. The challenge is that same model/provider can use dramatically different numbers for thefirst two items. Maintainability is an invariant of quality of the system. Measuring that is a good metric for sure.
7.
by bonigv 3mo ago
Agree that LOC and Story points are not metrics that needs tracking. What is happening is that same model and provider can use a very different experience in terms of [Turns, Tokens, Time and to certain extent the results]. This is expect
8.
Ask HN: How do we measure software in LLM era?
1 points by bonigv 3mo ago|5 comments
9.
Ask HN: What do you do to save tokens?
4 points by bonigv 3mo ago|0 comments
10.
by bonigv 3mo ago
This is a fascinating thought. I agree. It is one thing to let it write a prompt. Prompting, Generating, Judging and going till it is satiated is gluttony. Every week I ship 4-5 sprints' worth of work that improves features, simplifies
11.
Show HN: Grove – fast source insights for coding agents – via Tree-sitter(github.com)
4 points by bonigv 3mo ago|0 comments
12.
by bonigv 3mo ago
Clarifying - I am not suggesting headroom and lean-ctx are only doing the tool compression. It runs elaborate subsystems towards a noble objective of saving tokens. RTK on the otherhand is focused purely on the compression. At the sameti
13.
Ask HN: Will we start seeing tools for LLM use?
3 points by bonigv 3mo ago|1 comments
14.
by bonigv 3mo ago
It is a very valid question. My intution (no grounding) is to the model training. Optimizations traditionally have worked well in human wrote software with either experience of the developer , usage of architectural patterns or a second i
15.
How to tell stories with Streetview(producthunt.com)
1 points by bonigv 11y ago|0 comments