Bump version to 2.35.0: Knowledge Resilience & Standardization Milestone.

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g1nation
2026-05-02 13:18:07 +09:00
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# Feature Plan: Project Chronicle Guard
## 1. Feature Name
Project Chronicle Guard
## 2. Reason
The user wants AI-human planning, questions, decisions, implementation details, bugs, and retrospectives to remain as project-specific Markdown knowledge instead of disappearing into chat history.
## 3. Original User Request
Add a Designer menu to the sidebar, similar in spirit to Team, and implement a staged Project Chronicle Guard system that records planning, decisions, development logs, bug fixes, and retrospectives.
## 4. Interpreted Intent
The user does not only want another chat prompt preset. They want a durable project knowledge layer that captures why decisions were made and keeps records separated by project.
## 5. Problems To Solve
- Later readers forget why a direction was chosen.
- AI questions lose their intent and decision impact.
- Planning and implementation history are mixed or absent.
- Multiple projects can contaminate each other's records.
## 6. MVP Scope
- Add an independent `projectChronicle` module.
- Add project profile types and Markdown writer utilities.
- Add sidebar Designer controls for record project selection and basic project management.
- Generate the project folder structure and seed Markdown files.
- Save a planning document, discussion summary, decision record, development log, bug log, and timeline entry through explicit user actions.
## 7. Out Of Scope
- Full automatic transcript recording
- External database storage
- Git auto-commit
- Real-time file watching
- Search UI
- Tight integration with agent execution internals
## 8. Development Direction
Start with a low-risk independent module and connect the sidebar through message events. The chat agent can remain unaware of the record module in the first stage.
## 9. Existing Feature Relationship
The current sidebar already has Brain and Agent controls. The Designer menu should follow that UI pattern but manage project record profiles instead of agent skill files.
## 10. Dependency Strategy
Use TypeScript, Node `fs`, and Markdown files only. Store project profile metadata in VS Code global state and avoid modifying core chat execution.
## 11. Expected Value
- Project-specific planning and decision history becomes reusable.
- The user can intentionally create records before or after development work.
- Future automation can build on a stable local file structure.
## 12. Success Criteria
- A Designer selector appears in the sidebar.
- A new record project can be created.
- Record folders and seed files are generated safely.
- Markdown documents can be generated without needing external services.
- Existing chat, brain, and agent flows continue to compile.
## 13. Developer Instruction
Implement the first stage only: independent module, basic Designer menu, project creation/selection, folder seeding, and explicit sample record generation actions. Keep automatic conversation analysis for a later stage.
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# Feature Plan: Second Brain Trace Mode
## 1. Feature Name
Second Brain Trace Mode
## 2. Reason
The user wants to verify whether AI answers actually use Second Brain notes, which documents were searched, and how retrieved knowledge influenced the answer.
## 3. Original User Request
Add a way to see if the AI searched Second Brain, which notes it referenced, whether each note was used in the final answer, and why unused notes were excluded.
## 4. Interpreted User Intent
The user does not want to rely on vague claims that the AI used memory. They want visible grounding evidence and a developer debug trace.
## 5. Scope
- Add a trace mode toggle in the sidebar.
- Add a debug JSON toggle.
- Retrieve relevant Markdown notes from the active Second Brain.
- Inject selected notes into the answer context.
- Append a user-visible 2nd Brain usage section to answers.
- Show searched-but-unused notes and basic grounding metrics.
## 6. Out Of Scope
- Vector database integration
- Full semantic embedding search
- Perfect factual attribution at sentence level
- External observability tools
## 7. Development Direction
Use a low-dependency local Markdown search first. Keep vector search and richer grounding analysis as later expansion.
## 8. Success Criteria
- Users can see whether Second Brain was used.
- Users can see referenced Markdown paths.
- Debug mode exposes retrieval JSON.
- General questions can explicitly show that Second Brain was not used.