HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
slavingia
va
Python2025–2026
slavingia / va

va

Discover this repository through its Hacker News conversations.

5Distinct people
6Mentions
0Explicit recommenders
170GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A public description has not been verified.

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM 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 month6 dated mentions

Observed mentions: 2025-05-29 15:14:22 UTC to 2026-06-29 13:47:33 UTC.

012342025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMay 20252025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsNov 20252025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 2026

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
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC101
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC404
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC000
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC000
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC000
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC000
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC101

What Hacker News says

6 sources
I'm not sure exactly where you get 12 lines of code from. There are at least a hundred lines of LLM-related "prompt engineering" alone: see https://github.com/slavingia/va/blob/35e3ff1b9e0eb1c8aaaebf3..., for example. Regardless, number of lines is not an accurate metric of how "essential" a component is to the functioning of the overall system. How about this, try removing the LLM-related code from the script... what functionality is left, exactly?
In Doge Developed Error-Prone AI Tool to "Munch" Veterans Affairs Contracts
His github repository also contains the code that prompts OpenAI to analyze and flag VA memos that might contradict hot button issues from Trump's Executive orders. https://github.com/slavingia/va/blob/main/eos/analyze_eos.py System prompt: You are an AI assistant that analyzes internal government memos for compliance with 2025 Executive Orders. You identify references to DEI, gender identity, COVID policies, climate initiatives, and WHO partnerships that must be removed or modified according to new directives. Provide detailed analysis and be precise about what needs to be changed." User prompt: Based on this memo analysis, provide a detailed assessment of non-compliance with 2025 Executive Orders: MEMO CONTENT: {text[:10000]} Rules for determining non-compliance: 1. DEI/
Read the rest
DEIA Content: - References to "diversity", "equity", "inclusion" in policy context - Mentions of equity action plans - References to Chief Diversity Officers or similar roles - Performance criteria based on DEI targets 2. Gender Identity Content: - References to gender identity or preferred pronouns - Content about gender ideology or training - Instructions to use non-binary pronouns 3. COVID Policy/Telework: - COVID-19 vaccination requirements - Pandemic-era remote work extensions - Masking or testing policies that remain in effect 4. Climate/Environmental Content: - References to climate resilience, zero-emission requirements - Environmental justice language - Sustainability criteria in purchasing/contracting - Plastic straw bans or similar procurement restrictions 5. WHO Partnerships: - References to World Health Organization partnerships - Alignment with WHO protocols or frameworks 6. Other Key Areas: - Affirmative action or racial/gender preferences in contracting - $15 federal contractor minimum wage references - Student loan forgiveness expansions - Paper check disbursement references [Edit: formatting.]
In Doge Developed Error-Prone AI Tool to "Munch" Veterans Affairs Contracts
This strikes me as disingenuous: > I like when my software gets used by a lot of people and people send me nice emails. In this case, people weren't sending me the nicest emails, unfortunately. But they also didn't really know what I was doing. They saw DOGE, weren't a fan of certain things that they were associated with. But I think at the end of the day, like, the role of the U.S. Digital Service is to improve the UX (user experience) of being an American, which is pretty exciting. And anyone who lets me do that, I will try to work for, even if my friends and family aren't huge fans. People weren't mad at him because he was trying to improve UX. They were mad at him because DOGE was doing a bunch of other stuff like "harassing government employees who talked about climate resilience", which he actively contributed to but conveniently om
Read the rest
its from the interviews he's been giving recently: https://github.com/slavingia/va/blob/main/eos/analyze_eos.py...
In Former DOGE engineer on his experience working for the cost-cutting unit

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.