# Team Progress Log - cachewrap Dogfood Exercise **Timestamp:** 2026-02-11 **Phase:** Days 1-5 Complete **Documentation Followed:** cachewrap/plan.md, cachewrap/README.md --- ## Day 1: Claims Extraction (2026-02-11 03:45-03:56) ### Team Thoughts (from DAY1-SUMMARY.md) **Duration:** 11 minutes 17 seconds (0.19 hours) **What they did:** - Used `/aphoria-suggest` skill to discover reusable patterns from httpclient, dbpool, msgqueue corpora - Created 20 claims total: 7 reused (35%), 13 new (65%) - Pattern discovery via semantic matching (not string matching) - Validated cross-domain transfer (HTTP timeout → cache timeout) **Evidence of skill usage:** - `.aphoria/claims.toml` shows `created_by = "aphoria-suggest"` for all 20 claims ✅ - DAY1-SUMMARY.md mentions "Pattern Discovery via LLM" section - Time per claim: 18.2 seconds average (suggests automated workflow) **Questions Raised:** - None documented - workflow appeared smooth **Decisions Made:** - Reuse 7 patterns from existing corpora (timeout, TLS, retry, async, connections, lifecycle, metrics) - Create 13 new cache-specific patterns (TTL, eviction, key validation, max_size, etc.) - Use "expert" tier for critical safety/security claims, "community" for recommendations **Next Steps Stated:** - Day 2: Implement cache library with 10 intentional violations - Embed inline markers during implementation (not retrofit) --- ## Day 2: Implementation (2026-02-11 04:01-04:11) ### Team Thoughts (from DAY2-SUMMARY.md) **Duration:** 10 minutes 26 seconds (0.17 hours) **What they did:** - Created Rust cache wrapper library with redis, tokio, serde dependencies - Embedded 10 violations across config.rs and client.rs - Added inline `@aphoria:claim` markers for each violation - Wrote 16 tests (3 unit + 13 integration, 9 passing without Redis) - Documented all violations in lib.rs with cross-cutting categories **Violations embedded:** 1. Key injection (no validation) 2. TLS disabled (verify_tls: false) 3. Hardcoded password ("secret123") 4. Missing TTL (SET without EX/PX) 5. Unbounded size (max_size: None) 6. Sync blocking (get_connection() in async) 7. No eviction policy 8. Zero timeout 9. No connection pooling 10. Metrics disabled **Questions Raised:** - Should tests exercise violations or prevent them? (Decided: exercise, detection comes from scan) **Decisions Made:** - Simple scope (wrapper, not production library) for speed - Violations embedded during implementation (not retrofitted) - Tests validate code works despite violations (violations are config issues) **Next Steps Stated:** - Day 3: Run scan, expect low baseline detection, create extractors --- ## Day 3: Scanning & Extractor Creation (2026-02-11 04:20-04:30) ### Team Thoughts (from DAY3-SUMMARY.md) **Duration:** 9 minutes 17 seconds (0.15 hours) **What they did:** - **Iteration 1 (FAILED):** Created 10 separate .toml files in `.aphoria/extractors/` directory - Assumption: Aphoria loads extractors from separate files - Result: Extractors not loaded - Learning: Declarative extractors must be in `.aphoria/config.toml` - **Iteration 2 (PARTIAL):** Added extractors to config.toml with concept path mismatch - Extractor: `claim.subject = "timeout"` → observation tail `config/timeout` - Claim: `concept_path = "cache/timeout"` - Result: 0% detection (tail paths don't align) - Learning: Subject must include full prefix - **Iteration 3 (SUCCESS):** Fixed concept path alignment - Changed all subjects to include `cache/` prefix - Result: 50% detection (5/10 violations) - 10 declarative extractors in config.toml **Violations detected (5):** 1. cache-timeout-001 (zero timeout) 2. cache-ttl-required-001 (missing TTL) 3. cache-key-validation-001 (no validation) 4. cache-max-size-001 (unbounded size) 5. cache-eviction-policy-001 (no eviction) **Violations missed (5):** 1. cache-tls-validation-001 (TLS disabled) - pattern matches declaration, not Default impl 2. cache-async-blocking-001 (sync blocking) - pattern escaping issue 3. cache-max-connections-001 (no pooling) - long pattern regex issue 4. cache-metrics-enabled-001 (metrics disabled) - similar to TLS issue 5. cache-hardcoded-password-001 (hardcoded password) - pattern too specific **Questions Raised:** - Why 50% instead of ≥90%? (Analyzed: declarative extractor limitations) - Should we refine extractors or move to Day 4? (Decided: move on, validate mechanism) **Decisions Made:** - 50% detection validates flywheel (0% → 50% proves knowledge compounding) - Declarative extractors have known limitations (function bodies, context) - Programmatic extractors needed for 90%+ (not blocking for Day 3) **Next Steps Stated:** - Day 4: Fix all 10 violations progressively, verify with scans - Don't refine extractors (that's Day 5 activity) **Observer Notes:** - **No evidence of `/aphoria-custom-extractor-creator` skill usage** ⚠️ - Team manually edited `.aphoria/config.toml` (3 iterations) - Fast iteration (1 min per iteration) suggests clear feedback - Pattern: Discovered extractor configuration through trial and error --- ## Day 4: Remediation (2026-02-11 continuation) ### Team Thoughts (from DAY4-SUMMARY.md) **Duration:** 25 minutes (0.42 hours) **What they did:** - Fixed all 10 violations in 4 rounds (Security → Performance → Correctness → Observability) - Updated tests to reflect fixes - Final scan: 1 conflict remaining (false negative due to extractor limitation) **Rounds:** 1. **Security (3 fixes):** Key validation function, TLS default true, env password 2. **Performance (3 fixes):** Default TTL, max_size 1GB, removed blocking_get() 3. **Correctness (3 fixes):** LRU eviction, 5s timeout, ConnectionManager pooling 4. **Observability (1 fix):** Metrics enabled **Conflict rate improvement:** 5 → 1 (-80%) **Questions Raised:** - Why does cache-key-validation-001 still conflict? (Analyzed: extractor checks signature, not body) **Decisions Made:** - Code is correct despite false negative (validation function exists) - Extractor limitation, not code issue - Refinement for Day 5 **Next Steps Stated:** - Day 5: Documentation, retrospective, extractor refinement --- ## Day 5: Documentation (2026-02-11 continuation) ### Team Thoughts (from DAY5-SUMMARY.md) **Duration:** 571 lines comprehensive retrospective **What they did:** - Comprehensive metrics analysis - Hypothesis validation (multi-domain flywheel works) - 50% detection caveat documented - Enterprise pitch materials prepared **Key insights:** - Total time: 1.4 hours (91% faster than target) - Pattern reuse: 35% (exact match to hypothesis) - Detection: 50% (below 90% but validates mechanism) - All violations fixed, production-ready **Lessons learned:** 1. Concept path alignment is critical 2. Declarative extractors work for simple patterns only 3. 50% is enough to validate flywheel (improvement, not perfection) 4. Progressive fixing by severity reduces risk **Next Steps Stated:** - Share with team for dbpool comparison - Use learnings for next dogfood exercise --- ## Summary **Total Duration:** 1.4 hours (Days 1-4), ~2 hours (Days 1-5) **Workflow Used:** - ✅ Day 1: `/aphoria-suggest` skill (autonomous) - ❌ Day 3: Manual config.toml editing (3 iterations) - ℹ️ Pattern: Partial LLM usage, not continuous **Success Metrics:** - Pattern reuse: 35% ✅ - Time savings: 91% ✅ - Detection rate: 50% ⚠️ (below 90% target) - Violations fixed: 100% ✅ **Critical Observation:** Team used LLM skills for claim discovery but manual workflow for extractor creation, indicating documentation didn't emphasize continuous LLM requirement across all phases.