Stas tomatolog

Using Gemini CLI for Large Codebase Analysis

When analyzing large codebases or multiple files that might exceed context limits, use the Gemini CLI with its massive context window. Use gemini -p to leverage Google Gemini's large context capacity.

File and Directory Inclusion Syntax

Use the @ syntax to include files and directories in your Gemini prompts. The paths should be relative to WHERE you run the gemini command:

Nerfstudio (with COLMAP* + HLOC* + FFMPEG*) on Windows via WSL2

* Via Pixi

Old instructions stopped working on Gsplat 1.0.0+. Updated and simplified on 2024-07-09. Now no longer deviates from official installation instructions.

2024-11-03: Microsoft updated the default WSL2 distro to Ubuntu 24.04. One extra command is needed to make it work now.

For native Linux start-to-finish installation instructions, see this document instead.

For context: WSL2 is a Windows built-in way to run Linux applications on Windows, in a tightly integrated virtual machine.
This, in theory, lets you run Linux applications without the complexity and trouble of actually having to run Linux.
In practice, there are still a few caveats, most notably the complex custom CUDA implementation Windows uses to make this work.

This list is provided as a guide for tools engineers of all skill levels looking for jobs in the game industry. It's meant as a guide to topics that should be pursued broadly in order to be well spoken in an interview. I doubt any hiring manager requires deep knowedge across every topic, but an ideal candidate would be somewhat knowledgable (aware of its existence if asked directly) with all topics here.

Each list of bullets increases in difficulty, so later bullets are more applicable to senior (or even director) level candidates.

Good luck.

@gorlak

	import os
	import base64
	import shlex
	from pathlib import Path
	from dataclasses import dataclass
	from typing import Any

	import click
	import runpod
	from dotenv import load_dotenv, dotenv_values, find_dotenv

	using UnityEngine;
	using UnityEngine.AI;

	namespace AIEngineTest
	{
	public class Archetype : MonoBehaviour,
	IHiraBotArchetype<NavMeshAgent>,
	IHiraBotArchetype<Animator>,
	IHiraBotArchetype<ConsolidatedSensor>,
	IHiraBotArchetype<HiraLGOAPRealtimeBot>,

	[
	{
	"backcolor": "#000000",
	"name": "split orto v2",
	"author": "Stan",
	"switchMount": "cherry",
	"switchBrand": "cherry",
	"switchType": "MX3A-L1xx",
	"pcb": false,
	"plate": true

	/** Canvas component

	A generic canvas component that calls a draw function to draw the
	contents, and automatically calls it again when anything the draw
	function depends on changes. Blog entry:
	http://simblob.blogspot.com/2018/03/using-vue-with-canvas.html

	Example:

	<a-canvas width="500" height="200"

	#include <stdio.h>
	#include <stdlib.h>
	#include <stdint.h>
	#ifdef _MSC_VER
	#include <intrin.h> /* for rdtscp and clflush */
	#pragma optimize("gt",on)
	#else
	#include <x86intrin.h> /* for rdtscp and clflush */
	#endif

	FROM alpine

	RUN set -ex; \
	\
	apk add --no-cache --virtual .build-deps \
	coreutils \
	git \
	cmake \
	make \
	g++ \