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Solarch

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Design, validate, and generate backend code visually

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Tracked since2026
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The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Ensures architectural integrity from the start, reducing future refactoring.

Biggest con

Reliance on AI for code generation might require trust in its output quality.

TL;DR - Solarch

  • Designs backend architecture visually with AI assistance.
  • Validates architectural patterns with a strict rules engine.
  • Generates working, type-safe code directly from diagrams.
Pricing: Free plan available
Best for: Growing teams

What is Solarch?

Editorial review
Solarch is an architecture-first development tool that allows users to design their backend systems visually. It leverages AI to propose architectural elements and a strict Rules Engine to validate connections, ensuring that only correct and canonical patterns are incorporated into the design. This approach aims to prevent architectural flaws from the outset, providing a robust foundation for software development. The platform caters to developers and architects who want to streamline the process of building backend systems. It transforms visual architectural diagrams into working code, reducing boilerplate and accelerating development. Solarch ensures type-safety from the database to the UI, automatically updating frontend code when backend schemas change, and preventing common anti-patterns through its default-deny rules engine. It's designed for anyone looking to build complex backend systems with a focus on architectural integrity and efficient code generation.

Pros & Cons

Pros

  • Ensures architectural integrity from the start, reducing future refactoring.
  • Accelerates development by generating boilerplate and functional code.
  • Maintains type-safety across the entire stack, from database to UI.
  • Prevents common architectural anti-patterns with a strict validation system.
  • Provides a visual and intuitive way to design complex backend systems.

Cons

  • Reliance on AI for code generation might require trust in its output quality.
  • The strict rules engine, while beneficial, could feel restrictive for highly custom or unconventional architectures.
  • Team collaboration features are listed as 'coming soon', limiting current multi-user project capabilities.

Key Features

Architecture-first design with AI proposalsRules Engine for validating architectural connectionsOmni-bar with autonomous builder and conversational architect modesSingle canvas for entire backend system (controllers, services, repositories, tables, DTOs, queues)LangGraph grounding for canonical patternsType-safe schema to API contract to typed client generationDefault-deny rules engine to prevent anti-patternsHybrid code engine for skeleton generation and AI-filled function bodies

Pricing

Freemium

Solarch offers a generous free tier with optional paid upgrades for advanced features.

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Solarch FAQ

How does Solarch ensure the generated architecture is sound?

Solarch employs an 'architecture-first' approach where an AI proposes architectural elements, and a strict Rules Engine validates every connection against canonical patterns and anti-patterns. This 'default-deny' system ensures that only architecturally sound graphs can be created and translated into code.

What kind of backend components can be designed on Solarch's canvas?

The single canvas in Solarch supports designing a comprehensive range of backend components, including controllers, services, repositories, database tables, Data Transfer Objects (DTOs), and queues, along with 16 semantic edges defining their relationships.

How does Solarch handle type-safety across the full stack?

Solarch establishes type-safety from the database to the UI by transforming the database schema into an API contract and then into a typed client. This means that changes in the backend schema will cause the frontend to stop compiling until the corresponding types are updated, ensuring end-to-end consistency.

Can Solarch generate the entire codebase, or just a skeleton?

Solarch utilizes a hybrid code engine. It first deterministically compiles the architectural graph into a skeleton (DTOs, entities, constructor injection) without using AI tokens. Then, a surgical AI fills in only the empty function bodies, allowing for full code generation while keeping algorithmic logic distinct.

What happens if I try to create an invalid connection in the diagram?

If you attempt to draw a connection that violates the predefined rules (e.g., a Controller directly accessing a Table without a Service or Repository), Solarch's default-deny rules engine will immediately reject it. The system will then suggest and apply corrections, such as inserting the necessary intermediate components, to ensure the graph remains clean and valid.

How does Solarch manage shared components across different parts of a project?

Solarch allows nodes to live in one primary tab while being referenced as 'ghost references' in other tabs. This ensures that a component is defined once, but can be visually linked and understood in multiple contexts without creating copies or inconsistencies.

What are the export options for the architecture and generated code?

Users can export their work from Solarch in several formats: as executable code, as a Mermaid diagram for documentation, or as AI-readable memory, making it versatile for different stages of development and integration with other tools.

Does Solarch support collaborative development for teams?

While individual plans are available, Solarch offers a 'Team' plan (listed as coming soon) designed for collaborative development. This plan will feature shared projects with single-home nodes and ghost references, enabling multiple team members to work together on the same architecture.

Source: solarch.dev

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