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Generate architecture docs, ADRs, and review outputs for software design decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ai-software-architect" yet — see the docs or source repo.
Based on the following project context, generate a software architecture document including system goals, core modules, technology choices, data flows, risks, and trade-offs. Use a pragmatic mode to emphasize implementable solutions. Project: a multi-tenant SaaS ticketing system with Node.js backend, React frontend, and PostgreSQL database.
A well-structured architecture document covering modules, technical decisions, data flows, and implementation recommendations.
Create an ADR for the decision 'whether to adopt a microservices architecture.' Include context, options considered, final decision, rationale, impact scope, and follow-up actions. The team has 8 members and the product is still evolving rapidly.
A complete ADR that clearly records the context, trade-offs, and final decision.
Review the following system architecture proposal. Identify potential risks, scalability bottlenecks, security concerns, and improvement areas, then provide prioritized recommendations: a monolithic application deployed in a single-region Kubernetes cluster using Redis cache and MySQL primary-replica architecture.
An architecture review report with issue lists, risk analysis, and prioritized improvement recommendations.
Generate consistent, token-efficient project scaffolds with Claude Code CLI fast.
Create and maintain ADRs with checks, references, and planning support.
Turn vague requests into structured expert prompts for better LLM outputs.
Generate, search, and maintain codebase documentation for faster team development.
Analyze cloud architectures and generate recommendations, diagrams, and ADRs across major clouds.
Automatically save and restore AI sessions to preserve architecture context and decisions.