Files
brachnha-insight/_bmad-output/implementation-artifacts/epic-1-retro-2026-01-22.md
Max 3fbbb1a93b Initial commit: Brachnha Insight project setup
- Next.js 14+ with App Router and TypeScript
- Tailwind CSS and ShadCN UI styling
- Zustand state management
- Dexie.js for IndexedDB (local-first data)
- Auth.js v5 for authentication
- BMAD framework integration

Co-Authored-By: Claude <noreply@anthropic.com>
2026-01-26 12:28:43 +07:00

5.1 KiB

Epic 1 Retrospective: "Active Listening"

Date: 2026-01-22 Epic: Epic 1 - Core Chat & Teacher Agent Participants:

  • Bob (Scrum Master)
  • Alice (Product Owner)
  • Charlie (Senior Dev)
  • Dana (QA Engineer)
  • Elena (Junior Dev)
  • Max (Project Lead)

1. Epic Overview

Goal: Enable users to start a session, "vent" their raw thoughts, and have the system "Active Listen" (store chat) and "Teach" (probe for details) using a local-first architecture.

Metrics:

  • Status: Complete (4/4 Stories Done)
  • Velocity: High (All stories completed efficiently)
  • Test Coverage: Excellent (>98 tests passing across stories)
  • Quality: High adherence to Logic Sandwich pattern; strict TDD followed.

2. Successes & Strengths (What went well)

  • TDD Discipline: The team consistently followed Test-Driven Development (Red-Green-Refactor). Every story (1.1 - 1.4) reports comprehensive test coverage, including unit and integration tests.
  • Architectural Integrity: The "Logic Sandwich" pattern (UI -> Zustand -> Service -> DB/LLM) was strictly enforced. Code reviews proactively caught violations (e.g., direct DB access in components), ensuring a clean separation of concerns.
  • Local-First Implementation: Dexie.js integration works seamlessly. Data privacy (local storage) is robust.
  • Intent Detection Accuracy: Story 1.3 achieved >85% accuracy in intent detection using hybrid keyword/heuristic approach, properly enabling the Teacher Agent.
  • Fast Track Implementation: Story 1.4 was delivered with a simplified but effective UI integration (toggle in ChatInput), saving development time while meeting user needs.

3. Challenges & Growth Areas (Where we struggled)

  • State Management Nuances: Early friction with Zustand selectors. Code reviews frequently flagged unnecessary re-renders caused by non-atomic selectors (e.g., const { x, y } = useStore()). We've now standardized on useStore(s => s.x).
  • Testing Streaming Services: Story 1.4 encountered significant issues mocking the streaming LLM response in tests. This required a fix to chat-store.test.ts to properly simulate callbacks (onIntent, onToken).
  • Tooling/Config: Encountered minor friction with Playwright configuration in Vitest (Story 1.3), leading to exclusion of e2e tests from the standard test run.
  • Missing State: "isTyping" state was initially missed in Story 1.2, requiring a senior dev intervention to add it for proper UI feedback.

4. Key Insights & Learnings

  1. Atomic Selectors are Non-Negotiable: For chat applications with high-frequency updates (typing), optimizing re-renders via atomic selectors is critical.
  2. Mocking Streams is Hard but Essential: We need a standardized mock helper for the AI SDK's streaming responses to avoid fragility in future tests (especially for Epic 2's Ghostwriter).
  3. Simple is Better: The Fast Track toggle in the input box proved far superior UX than a separate header control, proving that keeping controls close to the action works best.

5. Next Epic Preview: Epic 2 - "The Magic Mirror"

Goal: Transform chat context into a structured Markdown artifact.

Dependencies:

  • Ghostwriter Agent: Relies on the Intent Detection and LLM Service infrastructure built in Epic 1.
  • Draft View: Implementing the "Medium-style" typography (Merriweather) requires updated font configs.
  • Refinement Loop: Will need robust streaming support (tested in 1.4).

Readiness Assessment:

  • Technical Infrastructure: Ready. Vercel Edge Runtime is configured.
  • Data Layer: ChatLogs schema is flexible enough.
  • Risks: The "Refinement Loop" (Regeneration) might introduce complex state management if not carefully architected.

6. Action Items

Action Item Owner Priority Deadline
Create Streaming Mock Helper
Standardize the mock for AI SDK streams to prevent test flake in Epic 2.
Charlie (Senior Dev) High Before start of Story 2.1
Doc Update: State Management
Explicitly document the "Atomic Selector" rule in project-context.md with examples.
Bob (Scrum Master) Medium End of Sprint
Accessibility Audit
Complete the deferred visual label accessibility checks from Story 1.2.
Dana (QA) Medium Mid-Epic 2
Playwright Config Fix
Resolve the e2e test exclusion issue in Vitest config.
Elena (Junior Dev) Low When capacity allows

7. Commitments & Conclusion

The team is confident moving into Epic 2. The foundation (Local-First DB + Secure LLM Proxy + TDD Pipeline) is solid. We commit to maintaining the strict TDD discipline and architectural boundaries that made Epic 1 a success.

Retrospective Status: Completed