5 ms·

Show HN: 10x better performance from the Coding Harnesses with LLM-wiki

16 points by nvk 5mo ago

jarbus 5mo ago
Where is this 10x number coming from?
- esafak 5mo ago
  The 10x coder who wrote it: https://www.youtube.com/watch?v=d2BuP7-m5Ww https://www.youtube.com/watch?v=d2BuP7-m5Ww
  - gavischneider 5mo ago
    Am I to understand that in 2012 he was not a 10x coder?
- throwaway613746 5mo ago
  [dead]
- dominotw 5mo ago
  from llm wiki
esafak 5mo ago
How does this differ from https://context7.com/ https://context7.com/ ?
- kordlessagain 5mo ago
  LLM Wiki is client-side and local-first (plain Markdown, Obsidian-friendly) designed for deep multi-agent topic research (e.g. automated thesis/counter-thesis runs, local session memory redaction). Context7 is a hosted SaaS/on-premise MCP server indexing API/library docs (GitHub, Confluence, OpenAPI) to provide coding assistants with fresh, version-specific developer context. Essentially: LLM Wiki compiles topic research vaults on your local disk, whereas Context7 acts as a semantic doc/API search gateway for programming.
  - esafak 5mo ago
    So the benefit is in caching the resources to avoid web queries, and massaging them to make them amenable to analysis? For intellectual work I imagine it would be useful if it could access gated content, like commercial reports?
    - kordlessagain 5mo ago
      Right, it's the whole search pipeline problem defined. Check this out: https://github.com/deepbluedynamics/lume https://github.com/deepbluedynamics/lume
dolebirchwood 5mo ago
What if I only want 6x better performance? Is there a knob or slider to dial it down?
sppfly 5mo ago
This kind of llm bragging title and AI generated webpage makes me gross.
adithyassekhar 5mo ago
Edit: On closer look this looks useful without the coding harness pitch.
- nvk 5mo ago
  This is not a product, its a foss lib
xnx 5mo ago
Some say text files work even better: https://cloud.google.com/blog/products/data-analytics/how-the-open-knowledge-format-can-improve-data-sharing https://cloud.google.com/blog/products/data-analytics/how-th...
- eikenberry 5mo ago
  This makes total sense given that a wiki is a collection of plain text files with a few simple conventions (not markup) around formatting and linking.
superfrank 5mo ago
I've got a couple of LLM wikis running for different purposes. I just pointed Claude at Karpathy's Github Gist and said "do this" and it set up and has maintained them ever since. So far no issue with that. Can you explain why the version linked is better? Gist link: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f https://gist.github.com/karpathy/442a6bf555914893e9891c11519...

16 points by nvk 5mo ago

jarbus 5mo ago

Where is this 10x number coming from?

esafak 5mo ago
The 10x coder who wrote it: https://www.youtube.com/watch?v=d2BuP7-m5Ww https://www.youtube.com/watch?v=d2BuP7-m5Ww
- gavischneider 5mo ago
  Am I to understand that in 2012 he was not a 10x coder?
throwaway613746 5mo ago
[dead]
dominotw 5mo ago
from llm wiki

esafak 5mo ago

How does this differ from https://context7.com/ https://context7.com/ ?

kordlessagain 5mo ago
LLM Wiki is client-side and local-first (plain Markdown, Obsidian-friendly) designed for deep multi-agent topic research (e.g. automated thesis/counter-thesis runs, local session memory redaction). Context7 is a hosted SaaS/on-premise MCP server indexing API/library docs (GitHub, Confluence, OpenAPI) to provide coding assistants with fresh, version-specific developer context. Essentially: LLM Wiki compiles topic research vaults on your local disk, whereas Context7 acts as a semantic doc/API search gateway for programming.
- esafak 5mo ago
  So the benefit is in caching the resources to avoid web queries, and massaging them to make them amenable to analysis? For intellectual work I imagine it would be useful if it could access gated content, like commercial reports?
  - kordlessagain 5mo ago
    Right, it's the whole search pipeline problem defined. Check this out: https://github.com/deepbluedynamics/lume https://github.com/deepbluedynamics/lume

dolebirchwood 5mo ago

What if I only want 6x better performance? Is there a knob or slider to dial it down?

sppfly 5mo ago

This kind of llm bragging title and AI generated webpage makes me gross.

adithyassekhar 5mo ago

Edit: On closer look this looks useful without the coding harness pitch.

nvk 5mo ago
This is not a product, its a foss lib

xnx 5mo ago

Some say text files work even better: https://cloud.google.com/blog/products/data-analytics/how-the-open-knowledge-format-can-improve-data-sharing https://cloud.google.com/blog/products/data-analytics/how-th...

eikenberry 5mo ago
This makes total sense given that a wiki is a collection of plain text files with a few simple conventions (not markup) around formatting and linking.

superfrank 5mo ago

I've got a couple of LLM wikis running for different purposes. I just pointed Claude at Karpathy's Github Gist and said "do this" and it set up and has maintained them ever since. So far no issue with that. Can you explain why the version linked is better? Gist link: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f https://gist.github.com/karpathy/442a6bf555914893e9891c11519...