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Viaduct
Executable architecture for humans and AI agents
Viaduct is a C4 modeling tool for software teams, with a hosted MCP server that feeds your architecture to AI development tools. System context, container, component and code diagrams, live collaboration, and change sets your coding agent can implement.
Hi Product Hunt! 👋
I’m the maker of Viaduct, a collaborative and AI-native architecture workspace built around the C4 model.
I created it because integration designs often end up split between whiteboards, sequence diagrams, API specifications and documentation. These artifacts quickly drift apart, and static diagrams make it difficult to verify what actually happens between services.
Viaduct keeps systems, containers, components, API contracts, message channels and documentation in one structured model.
Its key feature is Magic Flow. It turns an integration scenario into an interactive, step-by-step flow. Each step references real architecture elements and can include HTTP endpoints, Kafka topics and model connections. Flows support alternative and parallel branches and can generate PlantUML sequence diagrams.
Viaduct also provides an MCP server, allowing AI coding agents to work directly with the architecture model. Agents can explore systems and dependencies, read documentation and contracts, analyze Magic Flows, create or update architecture elements, and keep implementation decisions connected to the system design.
Instead of giving an AI agent a static diagram or an outdated document, Viaduct provides structured architectural context it can query and update.
While testing it on a banking transfer scenario, the player exposed a missing hop between Kafka and the notification service — exactly the kind of issue that is easy to overlook on a static diagram.
I’d love feedback from software architects, system analysts and AI-assisted engineering teams:
• How do you provide architectural context to coding agents today?
• What would prevent you from replacing your current whiteboard workflow?
• Which import format or MCP capability should Viaduct support next?
Thanks for checking it out!
About Viaduct on Product Hunt
“Executable architecture for humans and AI agents”
Viaduct was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #85 on the daily leaderboard. Viaduct is a C4 modeling tool for software teams, with a hosted MCP server that feeds your architecture to AI development tools. System context, container, component and code diagrams, live collaboration, and change sets your coding agent can implement.
On the analytics side, Viaduct competes within Design Tools, Software Engineering and Developer Tools — topics that collectively have 824.4k followers on Product Hunt. The dashboard above tracks how Viaduct performed against the three products that launched closest to it on the same day.
Who hunted Viaduct?
Viaduct was hunted by Golovko Igor. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Viaduct including community comment highlights and product details, visit the product overview.
Golovko Igor