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Solution Architect AI - Saul

The world's first AI Solution Architect that can alert teams of upcoming production outages and coordinate deployments for maximum speed and uptime.

First-of-its-kind AI Solution Architect

Because NanoAPI's open-source tool `napi` creates data representations of solution architectures, we can train the world's first AI Solution Architect, who we have named "Saul". Teams will make sure they had "better call Saul" before making any significant deployments.

Proactive Outage Prevention

Saul can alert teams of upcoming production outages from changes in upstream systems, helping you prevent issues before they impact your users. By understanding the complete architecture of your system, Saul can identify potential points of failure.

MCP Server

Saul includes an MCP server to give powerful tools and context to your AI. This enables deeper understanding of your codebase and more intelligent recommendations for architectural improvements.

Key Capabilities of Saul

Architectural Decision Support

Saul can weigh in on architectural decisions, providing data-driven recommendations based on your specific codebase and business requirements. Get expert architectural guidance tailored to your unique context.

Impact Analysis

Before making changes, Saul can analyze the potential impact across your entire system. Understand the ripple effects of architectural changes before they happen, reducing risk and uncertainty.

Cross-team Coordination

In complex organizations with multiple teams working on different parts of the system, Saul helps coordinate efforts and ensure that changes from one team don't negatively impact others.

How Saul Works

Saul combines the power of advanced AI models with NanoAPI's comprehensive architectural data:

  1. Data Collection: NanoAPI continuously collects detailed architectural information about your codebase, including dependencies, coupling, and historical changes.
  2. AI Training: This architectural data is used to train Saul, creating a specialized AI that understands software architecture at a deep level.
  3. Integration: Saul integrates with your development and deployment workflows, providing insights and recommendations at key decision points.
  4. Continuous Learning: As your architecture evolves, Saul continues to learn and adapt, becoming increasingly valuable over time.