Technical architecture diagrams integrated into your engineering workflow. AI-generated, version-controlled in Git, reviewed in pull requests.
Diagrams that work the way engineers work.
Diagrams stored as Mermaid or PlantUML code in Git. Same repo, same branch, same PR as the code change.
Architecture changes go through pull request review. Comment on specific diagram lines. Approve before merge.
Describe your architecture in plain English and get diagram code instantly. Iterate with AI until it is right.
Flowcharts, sequence diagrams, ER diagrams, C4 models, deployment diagrams — all from one tool.
Render diagrams in CI, validate syntax, and auto-update documentation sites on merge.
No separate diagramming app. Diagrams are code — edit in your IDE, review in your PR tool, version in Git.
Architecture diagrams that fit into your existing engineering workflow.
Tell the AI about your system — services, databases, message queues, external APIs. Mention your stack (React, Go, Postgres, Redis) and the AI generates diagrams using the right terminology and patterns for your technology.
The generated Mermaid or PlantUML code appears in a syntax-highlighted editor with live preview. Read it like any other source file. Modify it directly or ask the AI to add specific flows, error handling paths, or new components.
Commit the diagram files to your repository. Include them in pull requests so reviewers see architecture changes alongside code changes. The diagrams render on GitHub, GitLab, and in your documentation site automatically.
Practical scenarios where a diagram saves hours of meetings and context-switching.
Before writing code for a complex feature, sketch the architecture in a design doc. A sequence diagram showing how the request flows through services, what data is read and written, and where errors are handled gives reviewers the context to approve or suggest changes before implementation begins.
A PR that restructures service communication, adds a new database, or changes authentication flow is hard to review from code alone. Including an updated architecture diagram in the PR description shows what changed and why, reducing review cycles and preventing misunderstandings.
When a bug spans multiple services, draw a sequence diagram of the actual request flow — including timeouts, retries, and race conditions. Seeing the full interaction visually often reveals the root cause faster than reading logs from five different services.
When deciding whether to build an authentication system, payment processor, or search engine in-house versus using a third-party service, diagram both options. Show the integration points, data flows, and operational complexity of each approach to make the trade-offs visible.
Engineers taking over on-call need to understand which services depend on which, where the critical paths are, and what the failure modes look like. A system topology diagram and key flow sequences are the fastest way to build that mental model.
Breaking a monolith into services, migrating from REST to gRPC, or switching databases requires a clear before/after view. Diagram the current state, the target state, and the intermediate steps so the team can execute the migration incrementally with confidence.
Architecture documentation traditionally lives in wikis, shared drives, or dedicated tools that are separate from the code. The problem is obvious: engineers don't maintain things they don't see daily. A diagram in Confluence gets updated during the initial design, then slowly drifts from reality as the code evolves sprint after sprint.
When diagrams are code — Mermaid files in your repo, PlantUML alongside your source — they become part of the engineering workflow. You update the diagram in the same commit that changes the architecture. The pull request shows both the code diff and the diagram diff. Reviewers can see that the new caching layer exists in both the implementation and the documentation.
This ownership model also eliminates the “documentation debt” problem. Instead of scheduling a quarterly “update all the diagrams” sprint, architecture documentation stays current by default. New engineers joining the team read diagrams that reflect the actual system, not a version from six months ago that may or may not be accurate.
Free to start. 50 AI credits/month. No credit card required.
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