AI and Figma Workflows

AI and Figma Workflows

This page links to all the resources in the “AI will upend your process for the better”.

Connect with Justin on LinkedIn and tell him what has worked (or hasn’t) on your AI enablement journey: www.linkedin.com/in/justinbmeyer

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The presentation

This will be shared after the Figma talk.

https://www.figma.com/deck/YtPNEHlHFe1l1qxifDMvaG

The app

https://github.com/bitovi/carton-case-management is our app we use for our AI trainings. For example, you can see some of our Github Copilot content here: Github Copilot

Vibe Coders

The following are links to resources that make vibe coding easier:

Mocking

Using mocks make it easier for an agent to build a prototype because it doesn’t have to implement the change in the backend and database.

The following initializes a mock app for mock service worker:https://github.com/bitovi/convey-app-template/blob/9e6cb793015272e3b49fdf126f7b8fdfa82e616c/.github/skills/init-mock-app/SKILL.md

Data Model

When mocking, you want to keep your data model consistent.

https://github.com/bitovi/convey-app-template/blob/9e6cb793015272e3b49fdf126f7b8fdfa82e616c/.github/skills/update-data-model/SKILL.md

Design Consistency

Visual Communication

Branch Builds

Local Agent Orchestrators

Code to Figma

Asking Questions / Writing Stories

Implementation

 

Cloud Agent Orchestrators

The following has setup instructions for the core components for AWS: AWS Setup: Cascading v2: Figma, Jira, Github

Cloud Agents

Lets you run a agent in the cloud … with access to MCP and your codebase

Jira To Cloud Copilot Setup

Asking Questions / Writing Stories / Implementation

Reuses the Local Agent skills above, run via the cloud setup.

Reference