Create technical architecture documentation for engineering teams. AI generates component diagrams, API flows, data models, and infrastructure views.
Document internal services, modules, and their dependencies with structured component views.
Sequence diagrams for REST, GraphQL, and gRPC flows between services.
Entity-relationship diagrams, database schemas, and data pipeline architectures.
Cloud infrastructure, Kubernetes clusters, networking, and deployment configurations.
Document API contracts, event schemas, and inter-service communication patterns.
All docs as Mermaid & PlantUML code. Review in PRs, diff changes, track history.
Create comprehensive technical architecture documentation with AI assistance.
Describe your system architecture including services, infrastructure, data stores, external integrations, and communication patterns. Cybewave accepts both natural language and diagram-as-code input.
The AI generates multi-view documentation covering system context, container architecture, component details, deployment topology, and cross-cutting concerns like security and observability.
Export documentation packages tailored for different audiences — engineering deep-dives, executive summaries, and operations guides — all generated from the same source of truth.
Produce enterprise-grade documentation packages covering system landscapes, capability maps, technology standards, and integration patterns across organizational boundaries.
Generate comprehensive onboarding documentation that gives external contractors complete system context without requiring weeks of knowledge transfer from internal engineers.
Create technical due diligence packages for M&A activities, investor reviews, or partner evaluations that clearly communicate system architecture and technical capabilities.
Generate documentation artifacts required for ISO 27001, SOC 2, and similar compliance frameworks, including architecture diagrams, data flow docs, and security boundary definitions.
Build service catalog documentation for platform teams, describing available services, SLAs, integration guides, and operational characteristics for consuming teams.
Produce architecture documentation that maps system components to infrastructure costs, supporting capacity planning and cost optimization initiatives across the organization.
Technical architecture documentation is the foundation for every other kind of documentation — without it, API docs and runbooks lack the broader context needed to understand system behavior. When engineers troubleshoot at 3 AM, they need to understand not just individual services but how everything connects and why.
Good architecture documentation also prevents architectural drift. When there's no documented target architecture, teams make local decisions that collectively move the system in inconsistent directions. Written architecture documentation serves as a north star that guides implementation decisions across distributed teams.
Investing in architecture documentation pays compounding returns over time. Every onboarding session shortened, every meeting avoided, every incident resolved faster because engineers understood the system — these savings accumulate into weeks of recovered engineering productivity per quarter across the organization.
System-level documentation
Full documentation suite
AI-powered modeling
AI-generated arch docs
Generate technical docs
Architecture in Git
Diagrams from code
Version-controlled diagrams
Free to start. 50 AI credits/month. No credit card required.
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