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simonw
public-notes
Productivity2022–2025
simonw / public-notes

public-notes

Public notes as issue threads

2Distinct people
5Mentions
0Explicit recommenders
34GitHub stars
REPOSITORY AT A GLANCE

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What it is

Public notes as issue threads

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

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This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:56:20 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 year5 dated mentions

Observed mentions: 2022-10-11 14:40:21 UTC to 2025-07-02 17:12:53 UTC.

0122022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

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
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

1 sources
There's a lot of truth here. But also. But also, LLMs are incredibly powerful and capable tools at discovering and finding what the architecture of things is. They have amazing abilities to analyze huge code bases & to build documents and diagrams to map out the system. They can answer all manners of questions, to let us probe in. I'm looking for good links here. I know I have run across some good stuff before. But uhh I guess this piece that I just found introduces the idea well enough. https://blog.promptlayer.com/llm-architecture-diagrams-a-pra... And you can see an example in the ever excellent @simonw's review of prompts in copilot. At the end, they briefly look at testing, and it's a huge part of the code base. They ask Gemini for a summary and it spits out a beautiful massive document on how copilot testing works! https://simonwill
Read the rest
ison.net/2025/Jun/30/vscode-copilot-chat/ https://github.com/simonw/public-notes/blob/main/vs-code-cop... Now, whether LLMs generate well architects systems is largely operator dependent. There's lots of low effort zero shot ways to give LLMs very little guidance and get out who knows what. But when I reflect on the fact that, for now, most code is legacy code, and most code is hideously under documented, most people reading code don't really have access to experts or artifacts to explain the code and it's architecture, my hope and belief is that LLMs are incredible tools to radically increase maintainability versus where we are now, that they are powerful peers in building the mental model of programming & systems.
In I'm dialing back my LLM usage

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