! Visit https://v0-a9cjm.vercel.app/ and load the Forge.json to prepare this analysis:
- Total Steps: 35
- Handoffs: 1
- Decision Points: 26
- Estimated Duration: 3h 15m
- [HIGH] Automate "Development Environment Ready?" - Validate workstation, CLI auth, and target site readiness before Forge app work begins.
- [HIGH] Automate "Template & Starter Selection" - Select the closest Forge starter template so the scaffold matches the target product and extension point.
- [HIGH] Automate "Manifest Architecture" - Define app, modules, permissions, runtime, resources, and optional remotes/providers/translations.
- [HIGH] Automate "Runtime & Packaging Strategy" - Select the Forge runtime version, architecture, and any packaging considerations.
- [HIGH] Automate "Permissions & Scope Design" - Determine which product and platform permissions the app needs and keep them explicit and minimal.
- [HIGH] Automate "Secret Management" - Handle credentials and sensitive configuration through encrypted Forge secret storage.
- [HIGH] Automate "Runs on Atlassian Eligibility" - Check whether the app can qualify for Runs on Atlassian and whether to optimize toward that outcome.
- [MEDIUM] Automate "Create App Scaffold" - Run forge create, register the app if needed, and establish the initial project structure and manifest baseline.
- [MEDIUM] Automate "Frontend Implementation" - Build the selected UI with current UI Kit or Custom UI resources, forms, views, and interaction flows.
- [MEDIUM] Automate "Backend Implementation" - Build resolvers, product API access, storage logic, data transformations, and backend validation.
- [MEDIUM] Automate "Local Validation & Tunnel" - Use forge tunnel, view context, and iterative testing to validate app behavior before environment promotion.
- [MEDIUM] Automate "Forge Development Process" - The actual Forge development loop. This is the domain of the Forge tool path.
- [HIGH] Automate "Development Promotion Ready?" - Confirm the app is ready to be deployed and installed in the development environment.
- [HIGH] Automate "Development Deployment" - forge deploy -e development, then forge install -e development
- [HIGH] Automate "Staging Deployment" - forge deploy -e staging, then forge install -e staging
- [HIGH] Automate "Production Deployment" - forge deploy -e production, then forge install -e production
- [MEDIUM] Automate "Resolution Process" - Address review feedback, Ecohelp issues, privacy/compliance questions, or technical defects and return to the development loop.
- Decision Support Agent can detect missing dependencies, install tooling, and verify environment readiness.
- Decision Support AI can infer likely product fit and flag cross-product listing risks from the requirements.
- Decision Support AI can recommend the starter and generate the matching bootstrap commands.
- Decision Support AI can map user stories to the most appropriate Forge module.
- Decision Support AI can classify the requirements and propose the dominant interaction model.
- Decision Support AI can recommend UI Kit or Custom UI and generate the first pass of frontend structure.
- Decision Support AI can translate requirements or design notes into component trees and form layouts.
- Decision Support AI can synthesize a valid manifest from the selected product, surface, and architecture.
- Decision Support AI can choose a safe runtime baseline and flag deprecated runtime configurations.
- Decision Support AI can scaffold resolvers, payload contracts, and bridge invocation patterns.
- Decision Support AI can infer missing scopes from the codebase and reduce over-scoping.
- Decision Support AI can recommend storage shape, keys, indexes, and migration strategy.
- Decision Support AI can detect embedded secrets and replace them with secure storage references.
- Decision Support AI can classify egress, validate domains, and warn when the app jeopardizes trust programs.
- Decision Support AI can lint logs for privacy issues and auto-redact sensitive values.
- Decision Support AI can predict badge eligibility and suggest the shortest path to compliance.
- Decision Support AI can recommend a monetization path based on product fit and adoption goals.
- Decision Support AI can preflight deploy/install readiness and catch manifest or scope drift.
- Decision Support Automation exists through CI/CD or scripted environment bootstrap.
- Decision Support AI can summarize change risk and highlight blockers before staging promotion.
- Decision Support Automation exists through CI/CD or promotion workflows.
- Decision Support AI can produce a release checklist and detect trust/compliance regressions.
- Decision Support Automation exists through CI/CD or release orchestration.
- General AI Assistance Some release evidence can be generated automatically, but Forge listing actions are not fully automated.
- Document Review & Validation AI can pre-review assets and likely rejection reasons, but not replace Marketplace review.
- Decision Support AI agent could assist with "Yes"
- Decision Support AI agent could assist with "No"
- Decision point needs clear criteria
- Decision point needs clear criteria
Generated by A9 Customer Journey Tool 3/6/2026, 4:42:43 PM