# Development Plan ## Summary This document is the working implementation plan after the initial hosted-cloud scaffold. It is intentionally broader than the current Node server. The Node server is a protocol oracle and discovery tool, not the complete map of Jibo. ## Current Scope - stable .NET cloud scaffold - Azure-oriented architecture and data ownership - normalized runtime contracts for cloud-to-runtime handoff - bootstrap documentation for region injection and targeted device patching - starter endpoint coverage for account, notification, robot, loop, update, uploads, and core WebSocket acceptance - starter xUnit coverage for the .NET application layer ## Next Implementation Scope - expand HTTP `X-Amz-Target` coverage from observed traffic and fixtures - grow WebSocket compatibility from stub acceptance into realistic turn orchestration - replace in-memory state with Azure SQL-backed persistence - add structured fixture replay tests - harden region/bootstrap docs by software version ## Discovery Scope We still need to map more than the current Node server expresses. Priority discovery areas: - all hostnames and service prefixes observed in real startup and turn traffic - skill launch and skill lifecycle flows - interactivity command families beyond the current joke flow - richer embodied speech and animation behaviors - upload, logging, backup, and key-sharing flows - per-version configuration differences and region handling ## Speech, Animation, And ESML The current joke flow is only a small foothold into Jibo expressiveness. Future work should map: - direct speech modifiers - animation selection and filtering - embodied speech behaviors - ESML and SSML subsets - interactions between speech, visuals, and timing Useful external references: - [Speak-Tweak Docs](https://hri2024.jibo.media.mit.edu/Speak-Tweak-Docs) - [ESML PDF](https://hri2024.jibo.media.mit.edu/attachments/SDK-SDK---ESML-121023-203758.pdf) ## Future Scope - full endpoint inventory beyond the current Node mapping - OTA-driven recovery - paid hosted plans or donation-supported hosting - deeper on-device bridge and OS modernization - more capable skill/runtime integration - possible LLM or tool-use patterns inspired by workshop-era experimentation ## MCP-Like Ideas Recent MIT workshop materials suggest experimentation around modern AI tooling for Jibo, including an MCP-oriented idea. We should treat that as inspiration for future OpenJibo directions, not as a present dependency or supported integration.