Overview
Replace fixed TTL caching with intelligent, data-pattern-aware TTL strategies.
Objective: Increase cache hit rates beyond Phase 2C's 55% by using adaptive TTLs that match data update patterns for different GitHub entities.
Context
Phase 2C implemented fixed 5-minute TTL caching across all queries. However, different data has different update frequencies:
- Labels and milestones: rarely change (could use 1-hour TTL)
- PR status: frequently changes (needs 1-minute TTL)
- Issue assignments: moderately frequent changes (5-10 minute TTL)
Fixed TTLs compromise between staleness and cache hit rate. Adaptive TTLs can optimize both.
Success Metrics
- Overall cache hit rate improvement from 55% → 65-75%
- Reduced API calls by additional 5-10% vs Phase 2C
- Zero cache staleness incidents in staging validation
- Configurable per-data-type policies
- 100% test coverage for TTL policy logic
Deliverables
- Adaptive cache manager (
scripts/automation/includes/adaptive-cache.js)
- TTL policies by data type (labels, PRs, issues, assignees, milestones)
- Cache invalidation triggers (webhook-based invalidation)
- Metrics tracking (hit rate, staleness events, TTL distribution)
- Configuration schema for TTL policies
Acceptance Criteria
Dependencies
- Phase 2C response cache exists
- Webhook integration research (Phase 3-5) informs invalidation strategy
- Phase 3-2 continuous benchmarking for validation
Estimated Effort
6-8 business days
Links
- Phase 3 Planning: PHASE_3_PLANNING.md
- Outstanding Gaps: OUTSTANDING_GAPS.md``
- Phase 2C Cache Implementation:
scripts/automation/includes/response-cache.js
Phase 3 planning issue for secondary automation script optimization project.
Overview
Replace fixed TTL caching with intelligent, data-pattern-aware TTL strategies.
Objective: Increase cache hit rates beyond Phase 2C's 55% by using adaptive TTLs that match data update patterns for different GitHub entities.
Context
Phase 2C implemented fixed 5-minute TTL caching across all queries. However, different data has different update frequencies:
Fixed TTLs compromise between staleness and cache hit rate. Adaptive TTLs can optimize both.
Success Metrics
Deliverables
scripts/automation/includes/adaptive-cache.js)Acceptance Criteria
Dependencies
Estimated Effort
6-8 business days
Links
scripts/automation/includes/response-cache.jsPhase 3 planning issue for secondary automation script optimization project.