AI speed for Java apps you control
Works with your coding assistants and AI stack
01
Full-stack Java changes the AI problem
A split stack hands the assistant two languages, two repos, and a contract to guess at. Vaadin hands it one. So does the developer reviewing the result.
The AI Problem
Speed was never the hard part. What you're left holding is: code nobody on your team wrote, spread across a stack, still to be reviewed, secured, and kept running for years. In a split stack, nothing objects until runtime.
Full-stack AI Solution
One codebase, typed from UI to data access
One compiler, objecting before anything runs
One security model, inside the application
One pull request, for a full-stack change
02
AI for building and running enterprise apps
02.1
Build faster with AI, stay in the loop
Spec, generate, verify, refine, and keep your team in the loop. Your assistant works from current Vaadin APIs, not whatever it remembers, and browserless tests catch what it gets wrong. In dev mode, Vaadin Copilot turns your browser edits into source.
02.2
Build AI into business workflows
Chat, charts, and grids that already talk to a model. You pick which model, and it writes the query without ever seeing what comes back.
03
Speed you can standardize on
A pilot only needs one team to be convinced. A standard needs the platform to be dependable for as long as you own the application, and the practice to be the same in every team. Vaadin backs the first with Enterprise Edition, the second with hands-on workshops.
Enterprise Edition assurance
- 15 years of maintenance per major release, from its announcement
- Security and accessibility review reports, company-level ISO certificates
- Enterprise application server support
- Restricted environments: Offline licensing and an air-gapped MCP server
Hands-on AI workshops
- Building AI-powered applications: one day, adding LLM features to a Vaadin app with Spring AI and RAG
- From Figma to Vaadin: two days, turning designs into working UI with Figma MCP and Vaadin Copilot
- Ship faster with AI and Vaadin: one week, adopting an AI-assisted workflow in your own product and architecture
"When choosing a framework, prioritize your project's needs - scalability, communication, support, compatibility, and security."
04
Pick the path that matches your team
However fast it gets written, your team still owns it
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