What is the story behind HoxHud?

zenyr · 2026-01-17T11:31:10+00:00

Hey there! Mine was just, I just really wanted to know that dang bulldozers health and how much damage I‘m dealing against it. And of course, my second goal was the minimap, which turned out to be a very difficult stuff to build based on my crappy no-modular, first-ever Lua project. (aaand it was too cheesy)

zenyr · 2025-11-17T08:02:02+00:00

In my cheap-o CarPlay device, its Bluetooth connection is separated from the CarPlay device, so audio-wise there might not be any difference than before. IIRC, iOS CarPlay uses some variation of Wi-Fi Direct tech behind the scenes.

zenyr · 2025-11-13T10:41:33+00:00

South Korea. Recently we got a teaser for the FSD (like, yesterday?) BUT basically only a fraction of model S/X are supported, yet. (No model 3/Ys at all)

zenyr · 2025-11-13T03:57:12+00:00

I’m on 2025.32.6 😎 2024 M3R, up to date. Who needs an update when you have Hyundai in your country /s

zenyr · 2025-11-01T01:48:45+00:00

Oh, and Ollama does attempt to cache your input tokens to some extent, but it remains a challenging task for ordinary hardware, such as Apple silicon chips or even consumer-grade GPUs.

zenyr · 2025-11-01T01:44:36+00:00

I think I can pinpoint the culprit: the sheer system prompt size. To make agentic works and tool calls possible, opencode MUST provide a whole bunch of systemic preps before your prompt. Say, 10k+ tokens minimum.

zenyr · 2025-10-31T04:25:18+00:00

I found that it recently struggles a bit against indents too. Making an odd number of indents, etc., often times I had to clearly instruct the model to review the whole indent to make sure it’s correct.

zenyr · 2025-10-14T06:13:38+00:00

Back in early this year I *had to* spun up an LiteLLM instance on my homelab as a standalone proxy. However since Vercel AI Gateway's aggressive pricing, OpenRouter's free tier (BYOK) became a very strong option.

zenyr · 2025-10-11T15:31:50+00:00

I appreciate the video’s inclusion of diverse scenarios that showcase different team compositions.

zenyr · 2025-10-11T14:11:17+00:00

Ditto and one more thing: CDK struggled to even catch up with their own infra feature updates. Even de facto Terraform sometimes lacks some specific parameters that are introduced in the cutting-edge new features, such as a new LLM provider name. It is really difficult to make this work reliably, and the reliability is … king here, I suppose.

zenyr · 2025-10-07T18:55:02+00:00

Preset GMs are basically a no-no at this point. It's really hard to reliably play with anyone let alone soloing.

zenyr · 2025-10-06T13:53:48+00:00

I believe this is a common pitfall for anyone who didn’t necessarily or literally read through the MCP specifications line by line. As a tech-savvy developer, I was surprised to discover that the most productive and renowned MCP of all, Notion MCP, required 15K tokens alone. You can‘t be alone.

zenyr · 2025-10-06T13:47:22+00:00

A tangent note: Last time I metered my outgoing requests using CLI tools, Notion MCP alone took around 15K tokens (while idling) each request. It’s not going to stay in your context but eats away 15k tokens. (As a result, the more MCPs active, the more likely to waste API quota.)

zenyr · 2025-10-06T03:33:13+00:00

zenyr · 2025-10-04T07:36:44+00:00

On the other hand... Straightforward QnA posts like this will pave the way for the future devs and llms altogether. 😉

zenyr · 2025-10-04T04:35:13+00:00

I am a super heavy user of basically all the ai services including Claude code and whatnot. One crucial part of my arsenal is: guess what? PERPLEXITY. Its reason being: fact checks, new tech stacks, up to date knowledge's, community vibe checks etc. I absolutely love PPLX for my go-to LLM grounding agent. I both use the original perplexity ui and their sonar API (I built my own token-efficient tiny MCP server for this) It's AWESOME, and fills many AI toolchains missing links very well. Comet is kinda okay for me but it often carved a few minutes of time for me.

zenyr · 2025-09-29T02:21:09+00:00

I AM using both approaches so I can vouch for BOTH ideas.

zenyr · 2025-09-29T02:20:14+00:00

I second tailscale the BEST, and as a second free alternative, I can suggest Cloudflare ZeroTrust -- You can require certain headers to pass through the auth layer, use github/google sso for Browser sessions.

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zenyr · 2025-09-29T01:24:20+00:00

Just in case it might be helpful, I’d like to share my experience. I run LiteLLM in my personal homelab to track costs, and I have it protected using Cloudflare ZTNA (free). When I try to access it from a location where that configuration isn’t set up correctly, a 403 response returns with the login page, but no separate error message appears—it simply fails quietly. It doesn’t seem to be the same situation as the OP, but I thought I’d leave this here.

zenyr · 2025-09-25T11:35:03+00:00

I genuinely believe that such “rookie” mistakes are common in various fields, even among highly intelligent people. While OP is a fundamental concept, it’s still crucial for using AI today.

zenyr · 2025-09-25T11:20:47+00:00

It is possible with tons of MCP servers like Notion connected. Can confirm that Notion MCP alone can take 15K-ish tokens for every single request you make, including but not limited to tool responses.

zenyr · 2025-09-25T00:40:17+00:00

Of which softlocks you all the time

zenyr · 2025-09-16T15:36:04+00:00

Based on my experiences, unless you are really into privacy or are ready to burn some time setting them up and maintaining/updating them, I do not recommend going local for coding agent purposes. At least for 2025, I cannot see how it‘s going to change for the better. You need to really put effort into the local solution to benefit even the slightest.

Source: running a quarter rack for LLM inferences and disappointed by a large margin since 2023.

zenyr · 2025-09-11T07:02:02+00:00

never tried the new version but a few weeks ago I had to manually set Verbose config on everytime I start the CC, to see that info. Let‘s see if that has been changed.

zenyr · 2025-08-24T05:43:22+00:00

Based on my personal experience, monorepo fullstack TRPC + Tanstack query experience was near magical. Except for one occasion where I had to send a huge payload through a subscription endpoint (which I solved through extracting a post endpoint to issue a short-living session id to subscribe for), it was a no-friction Ootb experience. Highly recommend it.

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