API flows, service topology, and database schemas — architecture diagrams built for backend devs. AI-generated, version-controlled, reviewable in PRs.
Architecture diagrams that match how backend engineers think.
Visualize request/response flows across services. See how API calls propagate through your backend.
Map service dependencies, communication patterns, and data flows. Understand your backend at a glance.
Generate entity-relationship diagrams from descriptions. Show tables, columns, and foreign key relationships.
Document service-to-service interactions step by step. Show authentication, data fetching, and error handling flows.
Store diagrams as code alongside your backend source. Architecture docs evolve with the code they describe.
Describe your backend architecture in English. Get Mermaid or PlantUML code in seconds. Iterate with AI.
From idea to architecture diagram in three steps.
Tell the AI about your services, databases, APIs, and data flows in plain English. Mention your tech stack — Express, FastAPI, Spring Boot, or whatever you use — and the AI adapts its output.
Cybewave produces four architecture diagrams: a system overview showing service connections, an ER diagram of your data model, sequence diagrams for key API flows, and a deployment view of your infrastructure.
Edit the generated Mermaid or PlantUML code in a syntax-highlighted editor with live preview. Ask the AI to add error handling flows, split a monolith, or add a cache layer. Then commit the diagram files to your repo.
Real scenarios where diagramming saves hours of debugging and miscommunication.
Before building a new endpoint, diagram the request/response flow across services. The team reviews the sequence diagram in a PR and catches integration issues before writing any code. This is especially valuable when multiple teams own different services.
When restructuring your schema — adding tables, splitting a monolith database, or introducing read replicas — generate ER diagrams that show the before and after. Attach them to your migration PR so reviewers understand the full impact.
After an outage, use sequence diagrams to trace the exact request path that failed. Document which service timed out, where the retry storm started, and what the fix was. These diagrams become part of your incident runbook.
A new backend developer joining the team can read a system overview diagram and understand service boundaries, data flows, and deployment topology in minutes instead of spending a week reading scattered documentation.
When traffic grows, diagram your current architecture alongside the proposed scaled version — showing where to add load balancers, caching layers, or message queues. Present both diagrams in an architecture decision record.
When integrating payment processors, email services, or external APIs, diagram the full data flow including webhooks, retries, and error states. This prevents the "it worked in development" surprises when you go to production.
Backend systems are inherently invisible. Unlike a frontend where you can see what's broken, backend architecture lives in the relationships between services, databases, queues, and external APIs. When those relationships exist only in developers' heads, knowledge silos form. New team members struggle, incident response slows down, and architectural decisions are made without full context.
Architecture diagrams make the invisible visible. A sequence diagram showing how a user signup request flows through your authentication service, user database, email provider, and analytics pipeline communicates more in 30 seconds than a wall of Confluence text. When that diagram lives as Mermaid code in your repo, it stays current because it's updated in the same PR that changes the code.
The traditional approach — drawing diagrams in Lucidchart or on a whiteboard, screenshotting them, and uploading to a wiki — breaks within weeks. The diagram becomes stale the moment someone adds a new service or changes a database schema. Code-based diagrams solve this by making architecture documentation part of your development workflow, not a separate chore that nobody maintains.
Free to start. 50 AI credits/month. No credit card required.
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