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WaveMaker AI
WaveMaker AI is an architecture-first, agentic enterprise application generation platform. It turns Figma designs and natural-language prompts into production-ready Angular, React, and React Native code using a deterministic "Two-Pass Coding System" — an AI-driven first pass that generates an intermediate meta-model (WaveMaker Markup Language, WML) from design/intent, followed by a deterministic transpiler that converts that markup into framework code without further AI involvement. The platform
- Authority
- 46 reach 5 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://wavemaker.ai/llms.txt
- Sections
- 6
- Links
- 45
- Size
- 14510 bytes
- Popularity rank
- #870862
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning · Developer tools
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T18:05:52.787Z
- Last checked
- 2026-10-26T05:20:30.243Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T05:20:21.861Z. Cached copy · Source on wavemaker.ai
# WaveMaker AI
> WaveMaker AI is an architecture-first, agentic enterprise application generation platform. It turns Figma designs and natural-language prompts into production-ready Angular, React, and React Native code using a deterministic "Two-Pass Coding System" — an AI-driven first pass that generates an intermediate meta-model (WaveMaker Markup Language, WML) from design/intent, followed by a deterministic transpiler that converts that markup into framework code without further AI involvement. The platform targets large enterprise development teams that need AI speed with predictable, auditable, and maintainable outcomes, full code ownership, and enterprise-grade architecture, security, and governance.
Key differentiators referenced throughout the site: a Hybrid Developer Studio (switch between agent/prompt, visual canvas, and code editor modes), a Design-to-Code agent (Figma-to-pixel-perfect-code via a "AutoCode" Figma plugin), a WaveMaker UI Kit (Material 3-based component library for Angular/React Native, also available in Figma and Storybook), an Agentic Dev framework built on the Model Context Protocol (MCP) with specialized, auditable developer agents, and an AI Legacy Modernization offering for migrating legacy Java/.NET systems to WaveMaker with human-in-the-loop governance gates.
WaveMaker, Inc. is headquartered in the Dallas (Plano, TX) metro area with an additional office in Hyderabad, India. Related properties: wavemaker.com (corporate site), docs.wavemaker.ai (product documentation), and omnewave.com.
## Core Product Pages
- [Home](https://wavemaker.ai/): Landing page for WaveMaker AI. Introduces the platform's five pillars — Design to Code, the Two-Pass Coding System, secure/scalable agentic app building, the Hybrid Developer Studio, and augmenting dev teams — plus links to press coverage and the product launch announcement.
- [Platform](https://wavemaker.ai/platform/): Deep dive on the "architecture-first" platform: the Two-Pass Coding System (agents generate stack-agnostic app markup, developers refine it in Studio, then a deterministic engine generates Angular/React/React Native code), SDLC agents, the Hybrid Studio experience (productivity workbench, API orchestration, team collaboration, integrations, security/accessibility, auto stack upgrades), and what enterprises need beyond raw AI generation.
- [Design to Code](https://wavemaker.ai/design-to-code/): Explains the Design-to-Code agent and AutoCode Figma plugin — installing the plugin, running it on Material 3 Figma designs, automatic component/group/navigation detection, Figma variable/mode support, and how generated front-end code can be extended, secured, and pushed to a Git repository/CI-CD pipeline.
- [Agentic Dev](https://wavemaker.ai/agents-dev/): Describes the agentic development framework — agents built on MCP for real-time application context, 100% traceable/reviewable/reversible agent workflows, multi-agent orchestration (UI, API, security, component age
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| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| aiteamguide.com | AITeamGuide | documentation AI and machine learning Marketing +4 | — | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Infrastructure +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Productivity +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 74 | ✓ | ✓ |
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