GitHub Tracking Issues
Convention for tracking ongoing work using GitHub issues as living documents
Quick Start
Check current work: gh issue list --label tracking-issue
Create new issue: Get approval, use labels tracking-issue,ai-managed,feature
During work: Update OP for major changes, add comments for session details
Checkpoint: Draft comment with session progress, get approval before posting
The Pattern
Use GitHub issues with the tracking-issue
label to track active development work. One issue per user-facing feature that takes multiple work sessions. The Original Post (OP) serves as current status summary, while comments capture the detailed work journey.
Scope guideline: If it would take 2+ days or involves multiple code areas, it probably warrants a tracking issue.
Issue Creation Convention
Title: Clear description of user-facing feature
- ✅ "Implement offline PWA support"
- ✅ "Add relationship calculator to family tree"
- ❌ "Encryption work" or "Improve codebase"
Labels:
tracking-issue
- Identifies ongoing work itemai-managed
- Allows AI to update OP and add comments (without this label, AI should not modify the issue)- Type labels:
feature
,bug
,architecture
,refactor
as appropriate
Initial OP Structure:
# Feature Name
**Status**: Planning | In Progress | Blocked | Complete
## Current Understanding
Brief summary of what needs to be done and current approach
## Next Steps
- [ ] Specific actionable item with file:line references
- [ ] Another concrete next step
## Open Questions
- What we're still figuring out
- Dependencies on external decisions
## Context
Key background and why this work matters now
Key Conventions
OP as living summary: Keep the Original Post updated to reflect current understanding - a fresh developer should read the OP and know exactly where things stand
Comments for journey: Use issue comments to document work sessions, discoveries, and how understanding evolved
Update thresholds:
- Update OP when: approach changes, major blockers discovered, next steps significantly different
- Add comments when: completing work sessions, discovering important insights, hitting roadblocks
AI boundaries: Only update issues labeled ai-managed
, always get user approval before posting/editing anything
Workflow Examples
Starting work session: Read issue OP to understand current state, work from "Next Steps"
When user says "checkpoint our work":
- Find relevant tracking issue (check
gh issue list --label tracking-issue
) - If no relevant issue exists, ask user if you should create one
- Draft comment documenting the session (see structure below)
- Show draft to user for approval before posting
- Update OP if approach or next steps changed significantly
Creating new tracking issue:
- Ask user for approval first
- Use labels:
tracking-issue
,ai-managed
, plus type (feature
,bug
, etc.) - Title should describe user-facing outcome
- Fill OP template with current understanding
Work completion: Set status to "Complete", close issue after feature is deployed
Content Guidelines
OP contains (always current):
- Current status and concrete next steps
- Open questions that still need resolution
- Key context for understanding the work
Comments contain (historical journey):
- Work session summaries and discoveries
- Detailed progress updates and explorations
- Failed approaches and lessons learned
Comment Structure
**Session summary:**
- What was attempted or explored
- Key discoveries or problems encountered
**Impact on approach:**
- How understanding changed
- New questions that emerged
**Progress:** Completed items from next steps, what's next
Example:
**Session summary:**
- Explored Web Crypto API for encryption
- Implemented basic key derivation with PBKDF2
**Impact on approach:**
- SubtleCrypto doesn't support extractable keys for our use case
- This breaks our planned multi-device sync approach
- Need to choose: extractable keys (security trade-off) vs device-specific keys (UX trade-off)
**Progress:** Completed key derivation research. Next: exploring device-specific keys approach.
Integration with Development
Reference in commits:
Implement PBKDF2 key derivation for client encryption
Add basic key generation using Web Crypto API as first step
toward offline PWA support. See progress in issue #47.
Related work: Reference other issues when dependencies emerge, always discuss with user before creating new tracking issues
Benefits
- Context preservation: No mental reload between sessions
- Team visibility: Current state and journey both visible
- Decision tracking: Rationale for choices stays accessible
- Natural workflow: Uses familiar GitHub issue patterns
AI Guidelines
- Read OP first to understand current state, review recent comments for context
- Only modify issues labeled
ai-managed
- Always get user approval before posting comments or editing OP
- Focus OP on current status, use comments for session details