Words → UML → Running Code

See It Running

From epic → UML → validated gaps → runnable baseline, plus an API-ready backend with MCP enabled for agentic journeys.

1Paste Epic + Stories 2Generate UML 3Validate Gaps 4Generate Baseline 5Backend API + MCP
1 Paste Epic + Stories

Start With an Epic (and a few stories)

Paste your epic, user stories, and acceptance criteria. This is the only “input” you need to start generating models and a runnable baseline.

Epic

Backlog Validation Build for a Customer Success Portal

As a product team, we need a customer success portal to manage accounts, track renewals, handle support escalations, and generate stakeholder-ready reports—so we can validate scope and workflows before committing to full buildout.

Story 1

As a CSM, I want to view an account overview so that I can quickly understand health, renewal date, and open escalations.

Given an account exists with signals and tasks When I open the account overview Then I see health, renewal, owners, and open items
Story 2

As a CSM, I want to create and update renewal opportunities so that I can manage the renewal workflow.

Given an account with a renewal window When I create/update a renewal opportunity Then stage, amount, and next steps are tracked
Story 3

As support, I want to log and escalate issues so that engineering can prioritize customer-impacting work.

Given an issue is reported When I mark it as escalated Then severity, owner, and SLA are visible
Story 4

As an admin, I want role-based access to portal modules so that teams see only what they need.

Given a user has a role When they sign in Then modules and actions are permissioned
Story 5

As a stakeholder, I want reports by date range and account segment so that I can validate KPIs.

Given activity and renewal data exists When I run a report Then I see trends by segment and timeframe

Paste Epic + Stories (always plays at 1.5×)

2 Generate UML

Generate UML from the Backlog

EcosystemCode translates the epic and stories into UML models you can review and iterate on before you generate any code.

UML Models

  • Class diagrams for entities, fields, and relationships
  • State machines for lifecycles and allowed transitions
  • Sequence diagrams for core workflows
  • Activity diagrams for end-to-end processes

Model Quality

  • Consistent naming and relationships
  • Concrete screens/actions per story
  • Clear workflow edges and states
  • Ready for gap validation

Iteration-Friendly

  • Update the UML, then regenerate
  • Share models with stakeholders
  • Keep scope and intent visible
  • Move fast without losing rigor

Generate UML from a pasted epic + stories (always plays at 1.5×)

3 Validate Gaps

Validate Gaps Before You Generate

Use validation to catch missing fields, unclear workflows, and module decisions. This is where you decide what’s in scope—and what’s not—before code is produced.

Model Coverage

Module Decisions

Gap List

Validate models + settings (always plays at 1.5×)

4 Generate Baseline

Generate a Runnable Baseline (Downloadable)

Generate code you can run locally to validate capabilities. Download the baseline and confirm the app matches stakeholder expectations.

What “Baseline” means

A baseline is a runnable starting point generated from your epic + UML: it’s intentionally “complete enough” to validate scope, screens, workflows, and data shape—before you invest in full implementation.

  • Download + build (video below): confirm the project builds cleanly on a real machine.
  • Run the app (video below): validate that stakeholders can click through the core flows end-to-end.
  • Decide next: update the epic/UML to close gaps, then regenerate to converge quickly.

Baseline App

  • Working UI scaffold with navigation and screens
  • CRUD flows aligned to your class model
  • Workflows aligned to sequence/state diagrams
  • Downloadable for local validation

Backend + Data

  • Typed REST endpoints for core capabilities
  • Database schema aligned to the model
  • Local dev-friendly startup scripts
  • Ready for iteration after feedback

Generate + download the baseline (always plays at 1.5×)

Your app is available for full end-to-end testing with full CRUD (create, read, update and delete) capabilities.

This is the running app (always plays at 1.5×)

5 Backend API + MCP

Backend is API-Ready and MCP-Enabled

For any AI agentic journey, the generated backend is ready for structured automation: stable endpoints, machine-readable contracts, and MCP for tool discovery and execution.

API-Ready

  • Typed REST endpoints aligned to the model
  • Contract-first mindset (good for agents + integrations)
  • Clear resources, actions, and error surfaces
  • Designed for automation and handoff

MCP Enabled

  • MCP server exposes capabilities as tools
  • Agents can discover & invoke operations safely
  • Supports structured workflows and guardrails
  • Ideal for “agentic journeys” across modules

Backend API + MCP walkthrough (always plays at 1.5×)

Ready to Try It?

Paste your epic, generate UML, validate gaps, and ship a runnable baseline—with an API-ready backend that’s MCP-enabled for agentic workflows.

Start Building Free Try the Demo

Free to start • Export your code • Deploy anywhere