 Profa
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2e8642030b
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release: v1.4.3 - Test Suite Stabilization & TypeScript Fixes
🎯 Test Suite Stabilization - 94.2% Pass Rate Achieved!
This release represents a major quality milestone with systematic test
stabilization that increased the unit test pass rate from 71.1% (619/870)
to 94.2% (903/959), exceeding the 90% goal set in GitHub issue #33.
Major Changes:
- Fixed all TypeScript compilation errors blocking release
- Created batched integration test script to prevent OOM crashes
- Documented integration test memory leak root cause (issue #35)
- Enhanced mock infrastructure for better test reliability
- Updated release verification policies in CLAUDE.md
TypeScript Fixes:
- Fixed TestGeneratorAgent AgentCapability structure (4 errors)
- Rewrote Database mock with proper type casting (36 methods)
- Rewrote LearningEngine mock with proper type casting
- Excluded __mocks__ from TypeScript compilation
Test Infrastructure:
- Created scripts/test-integration-batched.sh for safe execution
- Batches 46 integration tests (5 files at a time)
- Prevents workspace crashes in constrained environments
- Updated package.json test:integration to use batched script
Memory Leak Investigation:
- Root cause: MemoryManager setInterval leak (138 timers)
- Missing cleanup in 31 of 46 integration tests
- Database connection pool exhaustion (23 instances)
- Documented in GitHub issue #35 for v1.4.4 fix
Release Verification:
- aqe init: 19 agents, 34 skills, 8 commands ✅
- Databases: memory.db (221KB), patterns.db (155KB) ✅
- MCP interface: 54 tools functional ✅
- Fleet startup: 5 agents running successfully ✅
Files Changed:
- Modified: 40 files (tests, mocks, core agents)
- New: 2 files (batched script, LearningEngine mock)
- Version: 1.4.2 → 1.4.3
Closes #33
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-11-06 08:10:28 +00:00 |
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Profa
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e986886dca
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release: v1.4.0 - Agent Memory & Learning Infrastructure Complete
✅ VERIFIED: Fresh project initialization test passed
✅ VERIFIED: Learning system functional end-to-end
✅ VERIFIED: All agents have proper lifecycle hooks
Major Changes:
- Fixed 11 agents with lifecycle hooks (proper memoryStore API)
- Comprehensive learning validation (16/16 agents have onPostTask)
- AgentDB integration verified (vector search, HNSW, neural training)
- Added --force flag to aqe init (force overwrite agent files)
- Full initialization tested in fresh project
Learning System:
- Q-Learning enabled by default (lr=0.1, γ=0.95, ε=0.2)
- Experience replay buffer (10,000 experiences)
- Pattern storage with neural training every 100 patterns
- Persistent memory (24h TTL results, 7d TTL errors)
Agent Coverage:
- 13/16 agents complete hooks (onPreTask + onPostTask + onTaskError)
- 16/16 agents have onPostTask (100% - critical for learning)
- All agents inherit enableLearning: true
- LearningEngine auto-initializes when enabled
Files Modified:
- src/agents/: 11 agents fixed
- src/cli/: Added --force flag
- src/types/: Updated InitOptions
- src/learning/: Added public generateQueryEmbedding
- package.json: Version 1.4.0
- README.md: Updated with v1.4.0 release notes
Test Results:
- Fresh project: ✅ 19 agents, 34 skills, 8 commands, 7 configs, 2 DBs
- Build: ✅ No TypeScript errors
- CLI: ✅ Version 1.4.0
- Databases: ✅ Valid SQLite (memory.db 216KB, patterns.db 152KB)
- Learning: ✅ Commands functional (aqe learn status, aqe patterns list)
🚀 Generated with Claude Code
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2025-10-31 16:29:56 +00:00 |
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