Devrim Yasar devrim

House Definition System

YAML-driven house composition with pluggable generators and asset.luckyrobots.com integration

Why This Instead of the Original Proposal

The original Procedural Building Generation proposal is a solid C++ mesh-generation system for walls, doors, windows, and floors -- and we want to keep all of that code. The problem is its architecture: BuildingGenerator sits at the top and owns the whole pipeline, and room-specific things like the KitchenLayoutBuilder get bolted on as post-materialization hooks dispatched by room type. That means every new room feature (kitchen cabinets, garage doors, sliding doors, closet shelving) needs its own special-case integration path into the building generator.

In practice, all of these are the same class of problem -- composing assets and procedural geometry inside a room. A kitchen cabinet run along a wall is structurally no different from a garage door filling an opening

Ned Architecture Review & Critique

An honest, brutal architectural review of the Ned editor submodule (Hazel/vendor/Ned/), as embedded within LuckyEngine.

LuckyEngine Architecture Review & Critique

A brutally honest self-review of LuckyEngine's architecture. Every finding is backed by exact file paths and line counts.

LeRobot integration into LuckyEngine (LE, LR, LL)
- LeRobot already setup inside of LuckyLab and was able to train a policy
- Focus is on inference into LuckyEngine right now
- Currently, inference is setup and gRPC connects then sends observations but robot doesn't move inside of LuckyEngine
- Scene setting is not working correctly in this scenario: piper-blockstacing scene, blocks get teleported out of workspace without robot even moving
Setup LuckyLab with CLI to start LuckyEngine in specified scene and autonomously start training/inference (LE, LR, LL)
- Enable command line control from LuckyLab to start LuckyEngine into a specified scene and play scene automatically for full control from command line with luckylab
Configure mjwarp in LuckyEngine (LE, LR, LL)
- Setup mjwarp inside of LucykEngine

Enable multiple robots to be controlled inside of LuckyEngine through Learn/ API

Session Log — ImGui macOS Retina Fix (2026-03-17)

Prompt 1

Read this repo and write a report about what stage is it for the mac os port of the engine

Response: Comprehensive macOS port status report covering all subsystems (rendering, physics, audio, scripting, editor UI, asset pipeline). Conclusion: ~97% complete MVP, all major subsystems working on Apple Silicon via Vulkan/MoltenVK.

	<--- Last few GCs --->

	[83252:0x102801e00] 10819832 ms: Mark-sweep 1373.1 (1426.8) -> 1373.1 (1426.8) MB, 689.2 / 0.0 ms allocation failure GC in old space requested
	[83252:0x102801e00] 10820615 ms: Mark-sweep 1373.1 (1426.8) -> 1373.1 (1425.8) MB, 674.8 / 0.0 ms last resort GC in old space requested
	[83252:0x102801e00] 10821423 ms: Mark-sweep 1373.1 (1425.8) -> 1373.1 (1425.8) MB, 807.3 / 0.0 ms last resort GC in old space requested


	<--- JS stacktrace --->

	==== JS stack trace =========================================

	$ = require "jquery"

	pako = require('pako')
	bz2 = require('unbzip2-stream')
	BrowserStdout = require('browser-stdout')

	decoder = new TextDecoder("utf-8")


	stream = new WritableStream

	import time

	def create_throttled_function(func, period):
	"""Creates a throttled version of the given function that can only be called once every 'period' seconds."""

	last_called = [0]

	def throttled_function(args, *kwargs):
	nonlocal last_called
	current_time = time.time()