notque

vexjoy-agent

Python2026–2026

notque / vexjoy-agent

vexjoy-agent

VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop.

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2Distinct people

7Mentions

0Explicit recommenders

449GitHub stars

REPOSITORY AT A GLANCE

What to know before exploring

What it is

VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop.

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 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 week7 dated mentions

Observed mentions: 2026-05-05 01:22:19 UTC to 2026-09-13 21:03:09 UTC. Weeks start Monday, UTC.

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.
Period	Start (UTC)	End (exclusive, UTC)	Mentions	Comments
May 4	2026-05-04 00:00:00 UTC	2026-05-11 00:00:00 UTC	3	3
May 11	2026-05-11 00:00:00 UTC	2026-05-18 00:00:00 UTC	0	0
May 18	2026-05-18 00:00:00 UTC	2026-05-25 00:00:00 UTC	0	0
May 25	2026-05-25 00:00:00 UTC	2026-06-01 00:00:00 UTC	0	0
Jun 1	2026-06-01 00:00:00 UTC	2026-06-08 00:00:00 UTC	0	0
Jun 8	2026-06-08 00:00:00 UTC	2026-06-15 00:00:00 UTC	0	0
Jun 15	2026-06-15 00:00:00 UTC	2026-06-22 00:00:00 UTC	1	1
Jun 22	2026-06-22 00:00:00 UTC	2026-06-29 00:00:00 UTC	0	0
Jun 29	2026-06-29 00:00:00 UTC	2026-07-06 00:00:00 UTC	1	1
Jul 6	2026-07-06 00:00:00 UTC	2026-07-13 00:00:00 UTC	0	0
Jul 13	2026-07-13 00:00:00 UTC	2026-07-20 00:00:00 UTC	0	0
Jul 20	2026-07-20 00:00:00 UTC	2026-07-27 00:00:00 UTC	0	0
Jul 27	2026-07-27 00:00:00 UTC	2026-08-03 00:00:00 UTC	0	0
Aug 3	2026-08-03 00:00:00 UTC	2026-08-10 00:00:00 UTC	0	0
Aug 10	2026-08-10 00:00:00 UTC	2026-08-17 00:00:00 UTC	1	1
Aug 17	2026-08-17 00:00:00 UTC	2026-08-24 00:00:00 UTC	0	0
Aug 24	2026-08-24 00:00:00 UTC	2026-08-31 00:00:00 UTC	0	0
Aug 31	2026-08-31 00:00:00 UTC	2026-09-07 00:00:00 UTC	0	0
Sep 7	2026-09-07 00:00:00 UTC	2026-09-14 00:00:00 UTC	1	1

What Hacker News says

7 sources

PotatoPrime·Sep 13, 2026

Interesting read, thanks for re-sharing! I noticed your joy-check link 404's now... I tried poking around your /skills/ folder but didn't find it easily. Should you still have that available I'd love to check it out. edit: Found it if others are looking: https://github.com/notque/vexjoy-agent/blob/main/skills/code...

In Astra and Fable still hack on simple variants of alignment evals from 2025

AndyNemmity·Aug 12, 2026

I've made a pr to my agent trying to implement it. it did fine in blind a/b tests so just going to go forward https://github.com/notque/vexjoy-agent/pull/908

In Go is an ideal language for AI-assisted software engineering

AndyNemmity·Jul 4, 2026

I like my setup, and don't feel productive without it, but I find it very complex to new users, and mostly only software engineers use it. https://github.com/notque/vexjoy-agent

In Ask HN: Is anyone experimenting with different ways of using LLMs for coding?

AndyNemmity·Jun 18, 2026

This is why I Blind A/B test everything. I burn a ton of tokens, but things actually have to prove their value. And the vast majority of things do not come close to doing so. I have my own AI agent full of stuff. I blind A/B test everything, but I also don't think the results are all that useful as a signal to others. Just because I Blind A/B test it 4 months ago, it's maybe not meaningful today. Maybe the word choices I use dramatically impact things. I do it, because I can prove the value, and see it with my own eyes. I don't even bother publishing the specific Blind A/B tests. Also, I've seen other people try to Blind A/B test and get it very wrong. If your measurements aren't good, the test is meaningless. I don't know. We're all working on these problems together. There's a lot of black magic (which is why I rely on hooks a lot). I'm

Read the rest

sure I have tons of black magic, I have a large little AI Agent. But what I know for certain, is it works for me. All it takes is for me to not use it, and I honestly don't know how everyone currently works with AI. I will link it, but it is not an endorsement for what you do. Mostly only other software engineers use it. And it's so very specific to the things I have to do. At best, maybe it sparks an idea for you to implement on your own. https://github.com/notque/vexjoy-agent

In The Token Compression Illusion: Why I'm Skeptical of RTK

AndyNemmity·May 8, 2026

Yeah, that's how I do skills. If I can make a script, I do. Everything that can be deterministic should be. https://github.com/notque/vexjoy-agent

In Agents need control flow, not more prompts

AndyNemmity·May 8, 2026

That's what my system does. It uses a workflow if one already exists, if not, it just creates one on the fly from the primitives. https://github.com/notque/vexjoy-agent I would prefer that be deterministic though. This thread has me considering what if anything I can do to make it forced. Like, I could do it with hooks, but that's not elegant at all.

In Agents need control flow, not more prompts

AndyNemmity·May 5, 2026

This is why I created the /do router, to route to all skills. I also have anti rationalization, progressive context discovery etc. I only make it for me, so it's a bit complex and targeted towards me, and what I do, but it's pretty easy to adjust things. https://github.com/notque/vexjoy-agent Working on reading through Agent Skills, it seems we've converged on a lot of the same points, and I've never seen it, so trying to get an understanding of it. Edit 1: I don't like all the commands. I just rely on a single router to automatically decide what I want, and that feels like the most reasonable way to me to communicate with it. I don't want to remember things. And that's the way for me to scale the number of skills and activities. I don't have to think about them. Edit 2: We have very different routers. https://github.com/addyosmani/agent-

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skills/blob/f504276d8e07... vs https://github.com/notque/vexjoy-agent/blob/main/skills/do/S... I personally wouldn't call theirs an intelligent router. They are dancing between a few different skills. We have extremely different setups there. But of course, I'm using way more context to get it done. I'm even sending it out to Haiku to build the route choices. I choose to use tokens to make things better for myself, not everyone would make the same choice, so I certainly see why they are using a few skills, and composing them. Edit 3: This is much easier for a user to wrap their head around because there's much less. I am only focused on the best improvements I can make that show value for my use cases. This is straight foward to reason about. This seems like a nice way to get the best concepts for people trying to understand them. I commend them for a clean, simple approach. Edit 4: Yeah, I think there are some things I can learn from them which is always good. I especially like simple decisions like collapsing the install details for each harness in the readme. I'm going to read over the entire thing and look for opportunities to improve my stuff. We are all working together, learning, testing, building, trying to find the best way to implement things.

In Agent Skills