3D-Agent vs Locofy: design-to-code agents

3D-Agent and Locofy: design-to-code agents are both design tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

3D-Agent

The plugin reads your active Blender viewport, generates geometry from a plain-language prompt, and lets you refine iteratively with follow-up messages that build on existing geometry rather than starting over. The vendor claims quad-dominant topology and clean UV unwrapping, which matters the moment you try to rig or drop the mesh into Unity, Godot, or Roblox — AI blobs with broken edge flow cost more time to fix than they save. Export hits OBJ, FBX, GLB, and USDZ without leaving Blender. The ceiling appears when your prompt demands something structurally complex: the model is only as good as what the underlying AI generation service can resolve, and there is no API or self-hosted path if you need to control that pipeline.

Locofy: design-to-code agents

The core workflow is plugin-based: a designer tags layers inside Figma or Penpot, configures component boundaries, and Locofy generates code the vendor describes as developer-friendly and ready to drop into a project. For straightforward landing pages, marketing sites, or mobile screens with predictable component hierarchies, teams report cutting the translation step from days to hours. The ceiling appears when designs carry complex interactive states, deeply nested conditionals, or design systems with heavy token logic — the generated code requires meaningful cleanup before it merges. Teams at that complexity level typically treat Locofy output as a scaffold rather than a final artifact, and maintain a review pass before the code reaches the repository.

Attribute	3D-Agent	Locofy: design-to-code agents
Pricing	Paid	Paid
Price	$10/mo	$40/mo
Free trial	No	7 days
Open source	No	No
Has API	No	No
Self-hosted option	No	Yes
Platforms	Windows (10+), macOS (12.0+); requires Blender 4.2+	Web (Figma, Penpot integration)
Released	2026-03	—
Pros	Viewport-aware iterative prompting, so follow-up messages build on existing scene geometry rather than wiping the canvas — you stay in your Blender session instead of copy-pasting between tools. Quad-dominant topology and clean UV unwrapping on generated meshes, which means the output loads into Unity, Godot, or a renderer without a manual retopology pass that would erase the time saved. Plain-English Blender Python scripting with a preview-before-execute step, so lighting rigs, modifier stacks, and batch operations that used to require scripting knowledge become prompt tasks — with a safety check before anything runs. Export to OBJ, FBX, GLB, and USDZ directly from Blender, so the asset delivery step doesn't require a separate conversion tool or format negotiation with the client. Text-driven keyframe animation covering walk cycles, camera flythroughs, and character rigs, so motion blocking for a prototype doesn't require an animator before you've validated the concept.	Converts Figma frames directly inside the existing design environment via plugin, so developers receive a code artifact without waiting for manual redraw or spec interpretation. Supports React, Flutter, and HTML/CSS output targets, which means a single design file can produce both web and mobile scaffolds without re-annotating from scratch. Penpot compatibility gives open-source design teams a code-export path that most design-to-code tools skip entirely, so teams not on Figma are not locked out. Self-hosted deployment is available for enterprise teams, so organizations with data-residency or compliance requirements can run conversion workloads inside their own infrastructure rather than sending design files to a third-party cloud. Component-aware output — when the design file uses consistent auto-layout and named layers — generates code with recognizable component boundaries, reducing the structural refactoring a developer would otherwise do by hand.
Cons	Complex or structurally precise geometry — specific polygon budgets, hard-surface mechanical parts with tolerance requirements, or branded product shapes — exceeds what a text prompt can reliably specify, and the output requires manual correction that narrows the time advantage over modeling it directly. No API and no self-hosted option means teams cannot integrate asset generation into a build pipeline, enforce data residency, or call generation programmatically from a script; teams with those requirements replace this with a generation API they can hit directly from their toolchain. The plugin is Blender-only, so studios or developers working primarily in Maya, Cinema 4D, or a proprietary DCC tool have no integration path and would need to treat Blender as an intermediary step — adding a format conversion and import round-trip to every asset.	Designs with complex interactive states, multi-step animations, or conditional visibility logic produce code that requires significant rewriting before it is production-mergeable — the plugin has no way to express logic that exists only in a designer's head and not in the layer structure, so developers inherit incomplete scaffolds and spend time on cleanup rather than avoided. No API means there is no automated trigger connecting a design update in Figma to a code regeneration step downstream; teams wanting that loop build a manual re-export step or abandon Locofy in favor of tools with webhook or programmatic access. Frame and export limits gate higher-volume usage behind paid tiers, so a team running multiple simultaneous projects or iterating rapidly across many screens hits the free tier ceiling and must evaluate whether per-project cost justifies the handoff speed gain — at that decision point, teams managing large design systems at scale often move to custom Figma plugin pipelines or dedicated component generation tooling instead.

Bottom line

3D-Agent and Locofy: design-to-code agents are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between 3D-Agent and Locofy: design-to-code agents?

3D-Agent is Paid, while Locofy: design-to-code agents is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is 3D-Agent better than Locofy: design-to-code agents?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.