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e-p-armstrong
augmentoolkit
Python2024–2025
e-p-armstrong / augmentoolkit

augmentoolkit

Create Custom LLMs

AI & Machine Learning
Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
1.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Create Custom LLMs

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 9:28:18 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month2 dated mentions

Observed mentions: 2024-06-15 04:15:29 UTC to 2025-06-12 22:14:13 UTC.

012024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJun 20242024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsDec 20242025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJun 2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC110
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC000
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC000
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC000
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC000
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC000
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC110

What Hacker News says

1 sources
dchuk·Jun 15, 2024Submission

Ask HN: Help me understand RAG vs. fine tuning for building a coding partner

I’ve built many projects with Ruby on Rails, and still follow the framework as a hobby. I have projects I want to build with it, but as a dad with a full time demanding job, I just don’t have the time anymore to dedicate hours to coding (spare me the call outs of just figuring out how to find time). I also have been closely following gen AI and LLM developments the last few years. So I had a thought: what if there was a Rails coding assistant, trained on all of the popular books / courses / tutorials / gem documentation / well written open source projects? I’m imagining something where it’s not even an IDE interface, it starts with some questions about what feature I want to build, then it starts generating the code for me to review, and I can chat it further to refine the code it’s creating for the feature. Then I can test the feature, a
Read the rest
nd if it all works, I can accept the pull request basically, and move on to the next feature. (Again, ignore the fact that building something like this also requires time commitment. Also for discussion purposes, put aside copyright concerns for a second). My question: what would be the right architecture for this? Is RAG the best way to load up the tool with the knowledge? Or do I fine tune a model with all of the content? I can’t nail down when to use each method exactly. I found this project: https://github.com/e-p-armstrong/augmentoolkit which sounds like what I would want to use, but then I see RAGs called out constantly, so I just don’t know. Bonus question: let’s say I have a $10k budget. Is buying a maxed out Mac Studio a good investment for training and self hosting?
11 points · Open discussion

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