- cli/lib/rt.ts: the runtime layer on node: modules (spawn / spawnSync with Bun's defaults, exit codes and "Executable not found", which with PATHEXT, sleep, serve, Glob, hasher, gunzip, stdin, SQLite, packageRoot, config imports with a type-stripping fallback for Node 20); every Bun.* use in cli/ goes through it - tools/gen-embedded.ts -> cli/lib/embedded.ts: templates/, cli/shots/*.html and Play's Data safety form embedded (replaces Bun text imports; the bundle and the compiled sidecar carry them), checked fresh by bun run ci - package.json: bin dist/storebound.mjs (Node ESM bundle, tools/build-node.ts, prepack), engines node >=20 - bun run ci: node bundle + node smoke (real node: --version, help, check same as Bun, scan, release plan --help, init, MCP handshake + tool call); Forgejo CI sets up Node 20; tests/node-compat.test.ts guards cli/ - install writes npx MCP commands when run with Node; bin/storebound falls back to Node - docs: npx storebound init (Node 20+) or bunx storebound init |
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|---|---|---|
| .. | ||
| diagrams | ||
| img | ||
| research | ||
| agents-core.md | ||
| api-coverage.md | ||
| api.md | ||
| commands.md | ||
| desktop-release.md | ||
| desktop.md | ||
| faq.md | ||
| getting-started.md | ||
| growth.md | ||
| idempotency.md | ||
| journey.md | ||
| listing-languages.md | ||
| mcp.md | ||
| pitfalls.md | ||
| project.md | ||
| README.md | ||
| rejections.md | ||
| safety.md | ||
| skills.md | ||
| store-art.md | ||
| studios.md | ||
storebound docs
The README is the short tour; everything in detail lives here.
Start
- Getting started: the 5-minute quick start, coming from fastlane, credentials, install for your AI tool
- The journey: why storebound, how agents use it, every step from setup to Submit (API, console or yours)
- FAQ
Ship
- Commands: every command, grouped (setup and checks, Google Play, App Store, TestFlight, after launch, screenshots and video, many apps and release trains)
- Catch rejections before you submit:
storebound scan, every rule with its guideline or policy - Store art: screenshots and previews, fonts, variants, video
- Listing in more languages
- Growth extras and console forms: PPP prices, Apple Ads, web presence, ad-hoc builds, RevenueCat,
console plan/console verify/console fill - Many apps, studios, release trains and workflows
- Every endpoint:
storebound apiand the API coverage table
Agents and safety
- Rules for AI agents (the source of
AGENTS.md) - Skills
- MCP server and the desktop machine interface
- Safety model
- Idempotency: every write converges
- Pitfalls: lessons from real use
Desktop app
- storebound desktop: design, safety model, screens
- Releasing storebound desktop: build, sign, check, publish
Project
- Roadmap, contributing and credits (agent support details, what is not verified yet, develop)
- Research notes