WorldLoop Studio

Thu, 01 Oct 2026 20:13:14 +0000

WorldLoop — Procedural CAD for Building Worlds

WorldLoop started from a simple idea: procedural generation becomes much more useful when the result is not just something you can look at, but something you can still understand, modify and build on.

It is a browser-based procedural CAD system for generating buildings and environments, currently connected directly to Roblox Studio through a plugin.

Instead of generating a static mesh or an image of a building, WorldLoop creates structured geometry from parameters. You define the world from the browser, send it to Studio, and the same system reconstructs the architecture there as usable 3D geometry.

How it works

The browser acts as the control surface.

You choose the building type, dimensions, architectural theme and structural parameters. WorldLoop then generates the building procedurally and sends the description to the Roblox Studio plugin, where the geometry is rebuilt.

The system is deterministic and rule-based rather than dependent on an AI model to invent the final geometry.

This matters because doors remain doors, windows remain openings, roofs follow the underlying structure, stairs connect actual floors, and the generated result can continue to participate in gameplay or further procedural processing.

What it can generate

WorldLoop currently includes multiple families of architecture, from compact houses to larger villas, towers, palazzi and castles.

The system includes:

multiple roof and window configurations
adaptive balconies and architectural details
multi-floor buildings and multiple entrances
towers with internal circulation
patios and upper-level solariums
several architectural themes
procedural decorations
a Bricks mode that decomposes structures into smaller building elements
export tooling for workflows outside Roblox
WorldLoop MCP lets a trusted local agent inspect your current build, use the CAD catalog and validation report, then return edits to the Console.

One of the more unusual parts is Terrain CAD.

The same architectural structure can be converted into voxel-style terrain while preserving important spatial features such as openings and passages. Instead of treating terrain as a completely separate generator, WorldLoop tries to preserve the logic of the original architecture while translating it into another representation.

That is the direction I am most interested in: one structural description, multiple physical representations.

Where it is going

WorldLoop is still growing.

The long-term goal is not simply to generate more predefined houses. I want the system to become a much broader procedural construction layer, with a large vocabulary of buildings that remain structurally editable and can be reused across different 3D pipelines.

Roblox is currently the main execution environment, but the architecture is being designed with a more general 3D workflow in mind.

You can try the project here:

https://worldloop.io/app

I am especially interested in feedback from people working with procedural generation, CAD, Roblox tooling, level generation, 3D pipelines or unusual uses of generated environments.

If you experiment with it, break it, or have an idea for something the system should be able to construct, I would be very interested to hear about it.

DevLog 20250729: Procedural Terrain Generation

Tue, 29 Jul 2025 17:21:12 +0000

Intro

Procedural generation, often called algorithmic art, is the process of turning code into visual content. Unlike generative AI, which can often feel "either works or doesn't", procedural generation offers predictable results and detailed control over every element of the outcome. Unlike simulation, its process is less about modeling physical phenomena and more about manipulating data through arithmetic and logic.

In practical production, procedural generation rarely stands alone. It’s usually combined with hand-crafted elements to achieve a balance between efficiency and artistic vision - a good example is the diverse planets in No Man’s Sky, which mix algorithmic rules with human-made textures and assets. Unreal Engine’s City Demo is, in my opinion, one of the most condensed showcases of how far this paradigm can be pushed. Yet, as I will discuss in a future article, procedural generation also faces diminishing returns: the more we aim for total automation, the less room we leave for meaningful artistic decisions. For world-building (not just game design), it often makes more sense to focus on curated, high-quality content rather than endlessly expanding algorithmic variety.

How does it has to do with Divooka?

When we talk about general-purpose, low-level procedural generation, three tools come to mind: Houdini, Blender Geometry Nodes, and Rhino Grasshopper. All three embrace a dataflow mindset, where complex results emerge from chaining and manipulating small, modular operations.

At its core, procedural geometry is about transforming data points - vertices, edges, and faces - through parametric relationships. The same happens when working with a dataflow diagram: each node transforms data in a specific way, and the network of nodes collectively defines the outcome. This data-centric, rule-based mindset has a strong connection to what I envision for Divooka. It’s not just about "automating" art; it’s about building a flexible, modular pipeline where small algorithmic rules can shape a larger creative vision.

Procedural Terrain Generation

Among all categories of procedural content, terrain generation stands out as being easily feasible while also present just enough technical and artistic challenge. Procedural terrains, trees, and clouds - when done well - can be indispensable in environmental design. These elements create a sense of scale, variety, and believability that would be prohibitively expensive to craft by hand, especially at scale.

Procedural humans are another major frontier, as projects like MetaHuman have shown. However, most current solutions in this area remain asset-based (pre-designed components combined procedurally) rather than fully algorithm-driven, due to the complexity of human anatomy and subtle facial variations.

What makes procedural terrain generation truly interesting is its multi-scale nature. The same algorithms that define the curvature of a hill, the placement of a forest, or the erosion patterns of a mountain range can be scaled up as procedural rules to shape entire planets, as seen in projects like Outerra or the planet tech behind Star Citizen.

For terrains specifically, there are multiple approaches:

Parametric modeling: Platforms like TerraGen and Vue provides drop-in procedural terrains that works at large scale, at the sacrifice of simulating natural erosion, weathering, and geology.
Heightmap-based workflows: Tools like World Machine remain the gold standard here, providing artists with granular control over erosion layers, noise functions, and texturing.
Hybrid artistic sculpting: Recent software such as World Creator blends procedural systems with direct, real-time sculpting, letting artists guide the procedural logic for more intentional results.
Biomes and planet-scale world maps: Beyond local terrain detail, truly massive environments need a global "climate" layer to drive ecosystem placement and continental shapes. Typically you start by generating low-frequency noise on a sphere (using an icosphere or cubemap projection) to define elevation, temperature, and moisture fields. These three channels feed a biome classifier (for example, using Whittaker’s biome chart) to assign regions like tundra, desert, rainforest, or grassland. Then, by layering higher-frequency noise and erosion simulations, you carve coastlines and mountain ranges that respect those climate zones. On top of that, you can stream in progressively finer mesh tiles or voxel chunks as the viewer approaches, blending seamlessly from a planet-wide view down to individual hills and caves. This multi-scale, data-driven pipeline lets you create a consistent, believable world map—where a river born in snowy peaks will reliably flow toward warmer, wetter biomes, and deserts will hug the rain shadows of mountain ridges.
Voxel and simulation-driven worlds: Games like Minecraft and Dwarf Fortress have shown that procedural generation can build entire, fully interactive worlds at massive scale, with layers of terrain below the surface.

Conclusion

Procedural generation is more than a tool - it’s a mindset, and a skill requiring practising. It allows creators to define rules and systems rather than individual assets, creating worlds that feel alive, infinite, and varied. However, its real power comes when balanced with handcrafted content, ensuring that algorithmic variety never comes at the cost of artistic intent.

For Divooka, the challenge (and opportunity) lies in embracing procedural workflows without losing sight of the content’s purpose. A beautiful world isn’t necessarily one that is infinitely generated - it’s one where the procedural tools empower the creator to focus on meaning, storytelling, and design.

Coder Legion - Recent posts tagged procedural-generation