Dani B
|
901574f8c8
|
docs: complete project research (STACK, FEATURES, ARCHITECTURE, PITFALLS, SUMMARY)
Synthesized research findings from 4 parallel researcher agents:
Key Findings:
- Stack: discord.py 2.6.4 + PostgreSQL/SQLite with webhook-driven PluralKit integration
- Architecture: 7-component system with clear separation of concerns, async-native
- Features: Rule-based learning system starting simple, avoiding context inference and ML
- Pitfalls: 8 critical risks identified with phase assignments and prevention strategies
Recommended Approach:
- 5-phase build order (detection → translation → teaching → config → polish)
- Focus on dysgraphia accessibility for teaching interface
- Start with message detection reliability (Phase 1, load-bearing)
- Shared emoji dictionary (Phase 1-3); per-server overrides deferred to Phase 4+
Confidence Levels:
- Tech Stack: VERY HIGH (all production-proven, no experimental choices)
- Architecture: VERY HIGH (mirrors successful production bots)
- Features: HIGH (tight scope, transparent approach)
- Roadmap: HIGH (logical phase progression with value delivery)
Gaps to Address in Requirements:
- Vivi's teaching UX preferences (dysgraphia-specific patterns)
- Exact emoji coverage and naming conventions
- Moderation/teaching permissions model
- Multi-system scope and per-system customization needs
Ready for requirements definition and roadmap creation.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
|
2026-01-29 11:02:32 -05:00 |
|