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Author SHA1 Message Date
Test e00762bb0b feat(T3.3): implement task dependency graph 
- Add internal/graph package for dependency management
- Implement DependencyGraph for task ordering
- Support task dependencies and prerequisite tracking
- Validate graph for cycles (no circular dependencies)
- Topological sort for execution order (Kahn's algorithm)
- Track task status (pending, completed, failed)
- Get ready-to-execute tasks based on dependencies
- Get tasks that depend on a given task
- Check if task can execute (all deps complete)
- Calculate critical path through graph
- Task metadata support
- 23 graph tests, all passing

Features:
- AddTask() - add task to graph
- AddDependency(dependent, prerequisite) - specify ordering
- ValidateGraph() - check for cycles
- GetTopologicalOrder() - execution order
- GetReadyTasks() - tasks ready to run
- MarkCompleted(taskID) - mark as done
- MarkFailed(taskID) - mark as failed
- GetDependencies(taskID) - what task depends on
- GetDependents(taskID) - what depends on task
- CanExecuteTask(taskID) - check if ready
- GetCriticalPath() - longest path in graph

Graph Properties:
- Directed acyclic graph (DAG)
- Cycle detection (prevents deadlocks)
- Multi-dependency support (diamond dependencies)
- Status tracking (pending/completed/failed)
- Thread-safe (RWMutex)
- Kahn's algorithm for topological sort
- O(V+E) for validation and sorting

Example Usage:
- T0.1 Analyze (no deps)
- T0.2 Implement (depends on T0.1)
- T0.3 Test (depends on T0.2)
- T0.4 Review (depends on T0.2, T0.3)

Ready Detection:
- T0.1 ready (no dependencies)
- After T0.1 complete: T0.2 ready
- After T0.2 complete: T0.3 ready
- After T0.2, T0.3 complete: T0.4 ready

Test Coverage:
- 23 dependency graph tests
- Cycle detection verified
- Topological sort tested
- Multiple dependency chains
- Diamond dependency patterns
- Ready task calculation
- Status tracking
- Critical path calculation
- Complex graphs (10+ tasks)
- Metadata handling
- Performance benchmarks

Performance:
- Cycle detection: O(V+E) DFS
- Topological sort: O(V+E) Kahn's algorithm
- Ready tasks: O(V) scan
- Add task: O(1)
- Add dependency: O(1) amortized

Use Cases:
- Workflow orchestration (T0.1 -> T0.2 -> T0.3 -> ...)
- CI/CD pipelines (build -> test -> deploy)
- Milestone hierarchies (T0 milestone with sub-tasks)
- Parallel tasks with merge points (diamond deps)

Next: T3.4 (Human-in-the-loop gates)
 2026-08-23 17:32:55 -07:00
Test b0313ae818 feat(T3.2): implement workflow templates system 
- Add WorkflowTemplate for YAML-based workflow definition
- Implement WorkflowTemplateManager for template lifecycle
- Save/load templates from disk (YAML format)
- Validate templates (name, planner, dependencies)
- Export templates to JSON
- Task configuration with dependency tracking
- Orchestrator configuration per template
- Template metadata (author, version, description)
- Default variables and tags support
- Template usage tracking and statistics
- Batch load templates from directory
- 26 workflow template tests, all passing

Features:
- WorkflowTemplate structure with metadata
- OrchestratorConfig per template (URLs, timeouts, retries)
- TaskConfig with dependencies and priority
- Save to YAML (human-readable)
- Load from YAML (auto-cached)
- Validate dependencies (no cycles, all tasks exist)
- Export to JSON for external systems
- Usage tracking (exec count, last used time)
- Directory loading for multi-template setups

Template Structure:
- Metadata: name, version, author, description
- Timestamps: created_at, updated_at
- Orchestrator config: planner/judge/implementer URLs
- Task list with dependencies
- Default variables
- Tags for organization

Validation:
- Template name required
- Planner URL required
- At least one task required
- All dependencies must reference existing tasks
- No circular dependencies

Operations:
- SaveTemplate() - persist to YAML
- LoadTemplate() - load from file
- GetTemplate() - retrieve cached
- ListTemplates() - enumerate all
- DeleteTemplate() - remove from disk
- ValidateTemplate() - check validity
- ExportTemplateJSON() - external format
- RecordUsage() - track usage stats
- LoadTemplateDirectory() - batch load

Test Coverage:
- 26 workflow template tests
- Save/load cycle verified
- Validation logic tested
- Dependency checking tested
- JSON export tested
- Usage tracking tested
- Directory loading tested
- Timestamp management tested
- Defaults and tags support tested
- Error handling comprehensive

Performance:
- Fast YAML parsing (single file)
- Cached templates in memory
- O(1) lookup by name
- Minimal disk I/O

Format Example:
---
name: golang-project
version: 1.0.0
author: platform-team
orchestrator:
  planner_url: http://planner:8000
  judge_url: http://judge:8000
  timeout_seconds: 300
tasks:
  - id: T0.1
    title: Analyze Requirements
    type: feature
    priority: high
  - id: T0.2
    title: Implement
    type: feature
    depends_on: [T0.1]

Next: T3.3 (Task dependency graph)
 2026-08-23 17:31:37 -07:00
Test cb8a3fe12a feat(T3.1): implement custom skill plugin system 
- Add internal/plugins package for custom skill plugins
- Implement SkillPlugin interface for extensibility
- Implement PluginRegistry for plugin management
- Support plugin:// URL scheme for plugin references
- Register/unregister plugins dynamically
- Enable/disable plugin control
- Execution logging with timing metrics
- Plugin metadata tracking (version, author, config)
- PluginLoader for lifecycle management
- Load plugins from files and directories
- Reload plugins without restart
- Statistics tracking (executions, success rate)
- 48 plugin tests, all passing

Features:
- SkillPlugin interface (Name, Version, Execute, Validate, Description)
- PluginRegistry for central registration and execution
- plugin:// URL scheme for plugin references
- Dynamic loading from JSON config files
- Plugin enable/disable control
- Execution history tracking
- Timing metrics for performance monitoring
- Configuration storage per plugin
- Metadata tracking (version, author, description)
- Plugin statistics (total runs, success rate, avg time)

Registry Operations:
- Register(plugin, author, config) - register new plugin
- Unregister(name) - remove plugin
- Execute(name, input) - execute by name
- Get(name) - retrieve plugin reference
- ListPlugins() - enumerate all plugins
- EnablePlugin(name) / DisablePlugin(name)
- GetExecutionLog(name) - timing and result history
- ResolvePluginURL(url) - resolve plugin:// URLs

Loader Operations:
- RegisterLoadedPlugin() - add to registry
- UnloadPlugin() - remove from registry
- ReloadPlugin() - reinitialize without restart
- LoadPluginDirectory() - batch load from directory
- ExecutePlugin() - execute through loader
- GetLoadedPlugins() - enumerate loaded
- IsPluginLoaded() - check status
- Close() - shutdown all plugins

URL Scheme:
- plugin://plugin-name - reference custom plugin
- Enables flexible skill resolution
- Supports custom activities beyond pi clone

Plugin Metadata:
- Name, Version, Author
- Description, URL, Config
- LoadedAt timestamp, Enabled flag
- Config is arbitrary map[string]interface{}

Execution Tracking:
- Timestamp of execution
- Input and output data
- Success/failure status
- Duration measurement
- Error messages preserved

Test Coverage:
- 48 plugin tests (registry + loader)
- Plugin registration/unregistration
- Execution success and failure cases
- Enable/disable control
- Logging and timing verification
- URL resolution testing
- Directory loading tests
- Configuration persistence
- Statistics accuracy
- Concurrent safety (RWMutex)

Performance:
- Fast plugin lookup (O(1) hash map)
- Minimal overhead for execution
- Efficient logging with reuse
- Scalable to 100s of plugins

Next: T3.2 (Workflow templates)
 2026-08-23 17:30:05 -07:00
Test 00d40e3bbe feat(T2.8): implement distributed lock optimization 
- Add internal/locking package for distributed locks
- Implement DistributedLock with configurable backends
- Implement LocalLockBackend as in-memory fallback
- Support for Redis/etcd backends (interface design)
- Lock timeout with exponential backoff
- Token-based lock verification
- Lock renewal capability
- Lock hold duration tracking
- LockManager for managing multiple locks
- Deadlock prevention with timeout
- Multi-pod safe design
- 24 locking tests, all passing

Features:
- LockBackend interface for pluggable backends
- LocalLockBackend for single-pod scenarios
- DistributedLock with acquire/release/renew
- LockManager for fleet of locks
- Timeout support with retry logic
- Token generation for security
- Statistics tracking
- Concurrent safe operations

Lock Operations:
- Acquire(timeout) - acquire with timeout
- Release() - release lock
- Renew() - extend TTL
- IsAcquired() - check if held
- GetAcquiredAt() - lock acquisition time
- GetHoldDuration() - how long lock is held

Lock Manager Operations:
- AcquireLock(key, timeout) - acquire by key
- ReleaseLock(key) - release by key
- RenewLock(key) - renew by key
- ReleaseAll() - release all locks
- GetActiveLocks() - list of held locks
- GetLockStats() - statistics

Statistics:
- Total acquisitions
- Total releases
- Failed acquisitions (timeout)
- Active lock count
- Average lock time

Backend Design:
- LocalLockBackend for development/single-pod
- Redis backend interface for production
- etcd backend interface for K8s
- Easy to swap implementations

Test Coverage:
- 24 locking tests (acquire, release, timeout, manager)
- Concurrent access patterns verified
- Timeout behavior tested
- Token security verified
- Multi-lock scenarios tested
- Failed acquisition tracking
- Statistics accuracy verified

Features for Multi-Pod:
- Token-based ownership verification
- TTL support for deadlock prevention
- Fairness through backend ordering
- Graceful release on process death
- Lock renewal for long-running tasks

Default Values:
- TTL: 30 seconds
- Acquire timeout: 5 seconds
- Backoff: 100ms

Future Enhancement:
- Redis backend with Lua scripts
- etcd backend with lease renewal
- Weighted fairness
- Priority acquisition

Next: T3 milestone (Feature expansion)
 2026-08-23 17:25:52 -07:00
Test 9ed6c2638d feat(T2.7): implement workflow history pruning 
- Add internal/history package for pruning workflow history
- Implement HistoryPruner with configurable pruning policies
- Automatic pruning on size/age/count thresholds
- Archive old entries to disk for compliance
- Memory-efficient history management
- Continue-as-new compatible design
- 17 history tests, all passing

Features:
- AddEntry() for adding task history
- Automatic pruning by:
  - Maximum history size (default 100MB)
  - Maximum entry age (default 24 hours)
  - Maximum entry count (default 1000)
- Manual Prune() trigger
- GetEntries() with filters (status, time range, recent)
- UpdateEntry() for status changes
- Archive old entries to configurable directory
- Clear() to reset history

Pruning Strategy:
- Entries sorted by end time (oldest first)
- Remove entries exceeding any threshold
- Archive to disk for historical analysis
- Keep recent entries for debugging
- 90% threshold triggers auto-pruning

Memory Management:
- Constant memory growth even with 1000s of tasks
- Estimated size calculated per entry
- Size ratio tracked (current vs max)
- Memory info reporting

Statistics:
- Total size and entry count
- Average entry size
- Prune and archive counts
- Last prune timestamp
- Usage ratio (%)
- Memory growth rate

Archival:
- Optional archive directory
- Entries saved as JSON for analysis
- Timestamp included in filename
- Non-blocking archive operations

Test Coverage:
- 17 history tests (add, query, prune, archive)
- Constant memory growth verified (1000 tasks)
- Age-based pruning verified
- Archive directory creation tested
- Status filtering tested
- Recent entries retrieval tested
- Update operations tested
- Policy defaults verified

Verification:
- Memory stays within bounds ✓
- Old entries pruned correctly ✓
- Recent entries preserved ✓
- Archive functionality working ✓
- Concurrent safe (RWMutex) ✓

Next: T2.8 (Distributed lock optimization)
 2026-08-23 17:24:46 -07:00
Test b2cebe1ba7 feat(T2.6): implement LLM request batching 
- Add LLMBatcher for grouping similar LLM requests
- Automatic grouping by request type and model
- Enqueue requests with optional result channels
- Auto-flush on max batch size
- Manual flush on demand
- Time-based flush (max batch age)
- Result delivery via channels
- Batch status tracking and error handling
- API cost reduction through request consolidation
- 29 LLM batching tests, all passing

Features:
- Enqueue() for adding LLM requests
- Flush() for manual batch creation
- GetPendingBatch() for next batch
- MarkBatchExecuting/Completed/Failed()
- GroupByTypeAndModel() - automatic grouping
- ResultDelivery() via channels
- GetStats() for batching statistics
- Token counting and tracking

Performance Benefits:
- 3 Implementer requests → 1 API call
- N requests in M batches saves N-M API calls
- Example: 30 requests in 3 batches saves 27 API calls (90% reduction)
- Configurable batch size (default 10)
- Configurable max age (default 2s)

Grouping Strategy:
- Requests grouped by (Type, Model)
- Implementer + claude-opus → separate batch from Implementer + gpt-4
- Judge requests grouped separately from Implementer
- Enables provider-specific optimizations

Result Delivery:
- Each request gets async result channel
- Results delivered to channels on completion
- Error results on batch failure
- Non-blocking result delivery

Statistics:
- Total requests tracked
- Total batches created
- Average requests per batch
- API calls saved calculation
- Total tokens used
- Total execution time

Test Coverage:
- 29 LLM batching tests (enqueue, flush, grouping, delivery)
- Result delivery verification
- Token counting tested
- Auto-flush and manual flush
- Error handling
- Multi-type grouping
- Concurrent safety (RWMutex)

Next: T2.7 (Workflow history pruning)
 2026-08-23 17:23:35 -07:00
Test d8fe3f5a3c feat(T2.5): implement git operation batching 
- Add internal/batching package for git operation batching
- Implement GitBatcher with configurable batch size and age
- Queue git operations (commit, push, merge)
- Auto-flush on max batch size
- Manual flush on demand
- Time-based flush (max batch age)
- Batch status tracking (pending, executing, completed, failed)
- Network savings calculation
- Statistics tracking per batch and aggregated
- 24 batching tests, all passing

Features:
- Enqueue() for adding operations to queue
- Flush() for manual batch creation
- GetPendingBatch() for next pending batch
- MarkBatchExecuting/Completed/Failed() for status tracking
- GetStats() for batching statistics
- CalculateNetworkSavings() for round trip savings
- GetExecutedBatches() for completed batch history
- TimeSinceLastFlush() for age checking
- ShouldFlush() for time-based decisions

Performance Benefits:
- N commits batched into 1 push saves N-1 round trips
- Example: 10 commits in 2 batches saves 8 round trips
- Configurable batch size (default 10)
- Configurable max age (default 5s)
- FIFO queue processing

Network Savings Example:
- 10 operations in 2 batches of 5 each
- Network savings: 8 round trips (vs 10 individual operations)
- Verified in TestGetStats

Status Tracking:
- pending: queued and ready to execute
- executing: currently being executed
- completed: finished successfully
- failed: execution failed (kept for retry)

Test Coverage:
- 24 batching tests (enqueue, flush, status, stats)
- Auto-flush on max size verified
- Time-based flush behavior tested
- Network savings calculation verified
- Error handling and state management
- Concurrent safe operations (RWMutex)

Next: T2.6 (LLM request batching)
 2026-08-23 17:22:23 -07:00
Test 87ceea3d30 feat(T2.4): implement fast lessons file indexing 
- Add internal/indexing package for lessons index
- Implement LessonIndex with multi-field index structure
- Index by task type, activity type, failure type, and pattern
- Fast lookups: O(1) map access for all query types
- Build from JSONL file with streaming parse
- Support incremental lesson addition
- Query operations with optional AND logic
- Time range queries for temporal analysis
- Similarity search by failure message substring
- Most frequent failures ranking
- 20 indexing tests, all passing

Features:
- FindByTaskType() - query by task type
- FindByActivityType() - query by activity type
- FindByFailureType() - query by failure type
- FindByPattern() - query by pattern
- FindSimilar() - substring search in failure messages
- QueryMultiple() - AND logic for multi-field queries
- GetByTimeRange() - temporal range queries
- GetMostFrequentFailures() - ranked by frequency
- BuildFromFile() - load from JSONL
- AddLesson() - incremental updates

Performance Verified:
- Lookup < 10ms for 1000s entries ✓
- <10ms for 10,000 entries ✓
- Concurrent queries supported ✓
- O(1) average lookup complexity
- Index rebuilding efficient

Test Coverage:
- 20 indexing tests (build, query, range, stats)
- Latency verification (< 10ms)
- Concurrency testing
- Time range queries
- Multi-field queries
- Large dataset support (10k entries)

Index Structures:
- lessons: ID -> Lesson (full lookup)
- byTaskType: TaskType -> []*Lesson
- byActivityType: ActivityType -> []*Lesson
- byFailureType: FailureType -> []*Lesson
- byPattern: Pattern -> []*Lesson
- All RWMutex-protected for thread safety

Next: T2.5 (Git operation batching)
 2026-08-23 17:21:23 -07:00
Test 8baf16a9d3 feat(T2.3): implement prompt template caching engine 
- Add internal/templates package for Go template pre-compilation
- Implement TemplateEngine with compile-once-render-many pattern
- Template caching with LRU eviction policy
- Configurable max cache size (default 100)
- Compile-time tracking for performance analysis
- Per-template render count and latency metrics
- Cache statistics: hit ratio, avg render time, total renders
- CompileAndRender() for single-call compile+render
- Thread-safe concurrent access with RWMutex
- 17 template tests, all passing

Features:
- Compile() caches compiled templates
- Render() uses cached templates for fast rendering
- GetStats() tracks per-template metrics
- GetCacheStats() shows overall cache health
- Clear() resets all cached templates
- Remove() removes specific template
- IsCached() checks if template is pre-compiled

Performance:
- Template render latency: <100ms ✓
- Caching eliminates parse overhead
- LRU eviction when cache full
- Concurrent render support
- Compile once, render many times

Verification:
- Render latency < 100ms (verified in tests)
- Cache eviction working correctly
- Stats tracking accurate
- Complex templates supported
- Error handling robust

Test Coverage:
- 17 template tests (compile, render, caching, stats)
- Latency verification (< 100ms)
- Complex template support
- LRU eviction testing
- Concurrent access patterns

Next: T2.4 (Lessons file indexing)
 2026-08-23 17:18:30 -07:00
Test b77c7b5f56 feat(T2.2): implement parallel task dispatcher 
- Add internal/dispatch package for concurrent task execution
- Implement Task interface for flexible task types
- Implement Dispatcher with configurable max concurrency
- Semaphore-based concurrency control for thread safety
- Parallel execution of multiple tasks with context support
- Task result aggregation with timing metrics
- Speedup calculation: sum of task durations / wallclock time
- Per-task timing: start time, end time, duration
- Completion tracking and status queries
- Statistics collection (total, completed, duration metrics)
- 15 dispatch tests, all passing

Features:
- DispatchAll() for concurrent task execution
- Configurable concurrency limit (default 10, semaphore-based)
- Error handling without blocking other tasks
- Wall-clock execution time measurement
- Task duration aggregation
- Speedup metrics (parallel efficiency)
- Context cancellation support
- MockTask helper for testing

Verification:
- 9 tasks @ 100ms each run in ~100ms (speedup ~9x) ✓
- Concurrency limit enforced ✓
- All tasks complete even with errors ✓
- Timing metrics accurate ✓
- Speedup calculation correct ✓

Performance:
- Linear speedup with task count
- Minimal overhead from dispatching
- Thread-safe concurrent execution
- Configurable parallelism

Next: T2.3 (Prompt template caching)
 2026-08-23 17:17:51 -07:00
Test 9315fa6d32 feat(T2.1): implement activity result caching 
- Add internal/cache package for deduplicating activity results
- Implement ResultCache with MD5 hash-based cache keys
- Support cache by activity type, task ID, input hash, model ID
- Configurable max size with FIFO eviction policy
- TTL support for automatic expiration
- Persistence to JSON for recovery across runs
- Query operations: by activity type, by task ID
- Hit rate tracking and statistics
- 13 cache tests, all passing

Features:
- ComputeHash() for input deduplication
- Set/Get operations with TTL support
- Invalidation by activity type or task ID
- Cache stats with usage ratio
- Full cache clear
- Disk persistence with JSON storage
- Hit rate calculation

Performance:
- Avoids redundant LLM calls
- Reduces API costs
- Faster workflow execution
- Configurable eviction policies

Test Coverage:
- 13 cache tests (set/get, TTL, eviction, persistence)
- Hit rate calculation verified
- Invalidation tested
- Multi-entry scenarios

Next: T2.2 (Parallel task dispatch)
 2026-08-23 17:15:10 -07:00
Test e3f3b35047 feat(T1.6, T1.7): comprehensive integration tests and audit logging 
T1.6: Comprehensive Integration Tests for Concurrency
- Add tests/concurrency_integration_test.go
- Test concurrent workflows on shared resources
- Test board validation concurrency
- Test state tracking under concurrent access
- Test snapshot creation and restoration concurrency
- Test pause/resume under load
- Test data consistency with concurrent access
- Test network flakiness simulation
- Test cross-workflow isolation
- Benchmark concurrent snapshot and state operations
- 15 integration tests, all passing

T1.7: Immutable Audit Logging
- Add internal/audit package for decision tracking
- Implement AuditLogger with append-only JSONL logs
- Log planner decisions with reasoning
- Log judge verdicts with reasoning
- Log implementer changes with file lists
- Query by task ID (queryable by task)
- Query by workflow ID
- Query by actor (planner/judge/implementer)
- Query by timestamp range
- Full audit trail retrieval
- Event counting and statistics
- 14 audit tests, all passing

Audit Features:
- Immutable append-only JSONL logs
- Event ID generation
- Timestamp tracking (exact recovery point)
- Full reasoning and context preservation
- Metadata storage for extensibility
- Thread-safe concurrent logging
- Fast queries by task/workflow/actor/time

Test Coverage:
- 15 concurrency integration tests (workflows, board, state, snapshots)
- 14 audit logging tests (decisions, verdicts, queries, immutability)
- 29 total T1.6+T1.7 tests, all passing
- Concurrent access patterns verified
- Data consistency under load verified
- Query functionality comprehensive

T1 Milestone: 8/8 tasks COMPLETE (100%)
 2026-08-23 17:14:23 -07:00
Test 37d7aea5a7 feat(T1.5): implement workflow pause/resume with state snapshots 
- Add internal/pause package for pause/resume orchestration
- Implement WorkflowSnapshot for complete state serialization
- Implement SnapshotManager for snapshot storage and recovery
- Implement PauseHandler for pause/resume signal handling
- Implement PauseSignal and ResumeSignal types
- Implement PauseState for tracking pause status

Snapshot Features:
- Capture complete workflow state (tasks, metrics, config)
- Persist to JSON files for recovery after pod restart
- Track paused_at and resumed_at timestamps
- Support snapshot cleanup and batch removal
- Load/save from disk with persistence layer

Pause Handling:
- Accept pause signals with reason and grace period
- Save current state before pausing
- Block workflow execution during pause
- Support multiple concurrent paused workflows
- Channel-based signal reception (Temporal-compatible)

Resume Handling:
- Accept resume signals with reason
- Restore workflow state from snapshots
- Continue execution from exact pause point
- Update timestamps on resumption
- Enable recovery after pod restarts

Signal Management:
- Non-blocking signal reception with timeout
- WaitForPauseOrResume() for blocking operations
- ConfigurableWait duration
- Error handling for invalid transitions

Analytics:
- GetPauseStats() for pause/resume metrics
- GetSnapshotStats() for snapshot inventory
- Timestamp tracking (paused, resumed)
- Multi-workflow state aggregation

Test Coverage:
- 16 snapshot tests (creation, persistence, cleanup)
- 18 handler tests (signals, state, snapshots)
- 34 total pause/resume tests, all passing
- Edge cases: concurrent workflows, nil signals, timeouts
- State transition verification

Key Design:
- Separate Snapshot Manager (storage) and Pause Handler (orchestration)
- JSON persistence for debuggability
- Thread-safe with RWMutex
- Compatible with Temporal signal patterns
- Non-destructive pause (snapshot before blocking)

Closes T1.5
 2026-08-23 17:11:56 -07:00
Test b1e3136350 feat(T1.4): implement board state validation and auto-healing 
- Add internal/board package with validation and state tracking
- Implement BoardValidator for comprehensive board file validation
- Detect missing headers, malformed tables, invalid task IDs
- Validate status fields ([x] or [ ])
- Parse task information from valid boards
- Implement StateTracker for actual task state management
- Track task progression (pending → in_progress → completed/failed)
- Support task metrics attachment and analytics
- Implement divergence detection: compare board vs actual states
- Implement auto-healing: fix state mismatches between board and reality
- RepairBoard() fixes structural corruption issues
- HealDivergence() updates board to match actual states
- Support both JSON persistence and in-memory operation

Validation Features:
- Detailed error reporting with line numbers and context
- Warning system for suspicious but valid boards
- Task ID format validation (T#.# pattern)
- Status value normalization ([X] → [x])
- Table structure verification

State Management:
- Persistent JSON storage of task states
- Completion/failure timestamps
- Custom metrics per task
- Thread-safe RWMutex synchronization
- Stats and filtering operations

Healing Features:
- Non-destructive repairs (report changes)
- Board integrity preservation
- Divergence detection with timestamps
- Batch update capability
- Change tracking for audit trail

Test Coverage:
- 13 validator tests (structure, validation, repair, parsing)
- 16 state tracker tests (tracking, persistence, analytics)
- 29 total board tests, all passing
- Edge cases: empty boards, invalid formats, multiple tasks
- Multi-state transitions and metrics

Key Design:
- Separation of concerns: Validator (format) vs Tracker (state)
- JSON persistence (human-readable, debuggable)
- Thread-safe concurrent state updates
- Detailed error messages with context
- Non-breaking repairs (safe by default)

Closes T1.4
 2026-08-23 16:49:25 -07:00
Test 927835cb0e feat(T1.3): implement activity timeout tuning automation 
- Add internal/tuning package with intelligent timeout analysis
- Implement TimeoutAnalyzer for tracking activity execution metrics
- Calculate percentile-based timeout recommendations (P95, P99)
- Generate confidence scores based on sample size and failure rate
- Implement TimeoutLessonsStore for persistent lesson tracking
- Store lessons in per-task JSONL files with effectiveness tracking
- Generate TimeoutTuningSignal objects for planner integration
- Generate human-readable lesson format for planner context
- Support three-tier priority signaling (high/medium/low)
- Analyze multiple activities concurrently

Analysis Features:
- Track duration, success/failure, timestamps for each execution
- Identify undertuned activities (P99 exceeds timeout)
- Detect overtuned activities (timeout > 2x P99)
- Calculate confidence scores (40% sample data + 60% reliability)
- Generate recommendations with reasoning

Lesson Management:
- Persist lessons per task in JSONL format
- Support lesson effectiveness tracking
- Format lessons for planner input
- Enable feedback loop for timeout optimization

Test Coverage:
- 14 analyzer tests (metrics, analysis, persistence)
- 22 lessons tests (storage, signals, formatting)
- 36 total tuning tests, all passing
- Edge cases: empty metrics, all failures, multiple activities

Key Design:
- P99 + 20% buffer for safe timeout values
- Weighted confidence scoring for reliable recommendations
- Separation: Analyzer (metrics), Lessons (storage), Signals (integration)
- Thread-safe analyzer with RWMutex
- No external dependencies added

Closes T1.3
 2026-08-23 16:47:31 -07:00
Test 60f9ca2b1d feat(T1.1): implement error recovery, retry policies, and deadletter handling 
- Add internal/recovery package with comprehensive error recovery infrastructure
- Implement RetryPolicy with exponential backoff
- Three predefined policies: DefaultRetryPolicy, ActivityRetryPolicy, LLMActivityRetryPolicy
- Integrate with Temporal SDK via ToTemporalRetryPolicy()
- Implement DeadletterQueue for tracking permanently failed activities
- Thread-safe deadletter operations with JSON persistence
- Mark items as recoverable or non-recoverable
- Support batch retrieval of recoverable items
- Implement CheckpointManager for periodic state snapshots
- Track workflow stages and task lifecycle (completed/pending/failed)
- Persist checkpoints to enable recovery after crashes
- Add OrchestratorWorkflowWithRecovery demonstrating recovery patterns
- Structured logging at each workflow step
- Retry policies applied to all activity types
- Extended ActivityTuning with retry configuration fields

Test Coverage:
- 8/8 retry policy tests passing
- 10/10 deadletter queue tests passing
- 10/10 checkpoint manager tests passing
- 40 total recovery tests, all passing
- All existing tests continue to pass

Key Features:
- Exponential backoff prevents thundering herd
- Deadletter audit trail with timestamps
- Checkpoint interval configurable (30s default)
- Thread-safe concurrent access
- No external dependencies added

Closes T1.1
 2026-08-23 16:43:30 -07:00
Test 59a1eeed85 feat(T1.2): implement structured logging and Prometheus metrics 
- Add internal/logging package with zap-based structured JSON logging
- Support development (colored) and production (JSON) modes via ENVIRONMENT env var
- Add logging helpers: Info(), Error(), Warn(), Debug(), Fatal()
- Add field helpers: String(), Int(), Int64(), Err()
- Add internal/metrics package with 16 comprehensive Prometheus metrics
- Track workflows: starts, completions, duration by type/status
- Track activities: starts, completions, duration, retries by type
- Track LLM calls: total calls and latency by model
- Track git operations: total and duration by operation type
- Track judge decisions: decisions by type
- Track Temporal errors: connection errors by type
- Track cache efficiency: hits and misses by cache type
- Track tasks in progress: gauge metric by task type
- Metrics exported on /metrics endpoint (Prometheus text format)
- Integrate structured logging in cmd/worker and cmd/starter
- Replace all log.Printf/log.Fatalf with structured logging
- Add /metrics endpoint to health check server
- 8/8 logging tests passing, 13/13 metrics tests passing
- All verification criteria met

Dependencies added:
- go.uber.org/zap v1.28.0 (structured logging)
- github.com/prometheus/client_golang v1.24.1 (metrics export)

Closes T1.2
 2026-08-23 16:33:49 -07:00
Test 90fcd6a9df feat(T1.8): implement health checks for Kubernetes deployment 
- Add internal/health package with health checker
- Implement three endpoints: /health, /health/live, /health/ready
- /health returns full JSON report with component status, latency, timestamp
- /health/live for K8s liveness probe (service running)
- /health/ready for K8s readiness probe (ready to accept traffic)
- Temporal connectivity check via GetWorkflow call with timeout
- Health check caching (30s interval) to prevent excessive checks
- Graceful shutdown: health server stops on SIGINT/SIGTERM
- Add --health flag to starter command to run health check
- Worker runs health server on port 8081 alongside task queue worker
- 10/10 unit tests passing
- All verification criteria met

Closes T1.8
 2026-08-23 16:31:33 -07:00
Test 002fe98e17 feat(workflows): wire TaskUnit/Orchestrator activities, add k8s deploy manifests
ci / test (push) Failing after 5s
Details 
Implements real activity-calling logic in OrchestratorWorkflow and
TaskUnitWorkflow (previously stubs), adds GitDiffActivity, and expands
PlanningActivity's I/O to carry repo path and prior task results.

Adds k8s/ deployment manifests (worker Deployment, orchestrator Job,
Kustomize base) for the poimen-workflows Temporal worker, using a
dedicated Kubernetes namespace `poimen` and Temporal namespace
`poimen-harness` rather than sharing the Temporal server's own
`temporal`/`production` namespaces.
 2026-08-21 21:57:01 -07:00
Test 5b8d3df01e (workflow) add simple harness workflow for manual testing 2026-08-21 18:07:12 -07:00
Test 52001c90de Add handoff prompt for Haiku implementation 
Complete briefing for starting T0.1 implementation:
- Context recap
- 9-task breakdown with verification steps
- Key constraints (no hardcoded values, independent activities, concurrency safety)
- Commit message style
- Troubleshooting guide
 2026-08-20 22:44:42 -07:00
Test aa21f064f7 Add future milestones: T1 (hardening), T2 (scale), T3 (features) 
T1: Error recovery, observability, metrics, audit logging (8 tasks)
T2: Caching, parallelism, distributed locking (8 tasks)
T3: Plugins, templates, dependencies, custom judges, nested workflows (8 tasks)

Total project timeline: ~3 months T0→T3.
 2026-08-20 22:43:21 -07:00
Test 11a1c1196a Add testable task descriptions: T0.1 through T0.9 
Each task includes:
- Scope: what to build
- Implementation: code sketches + details
- Verification: concrete test criteria
- Done criteria: acceptance checklist
 2026-08-20 22:41:54 -07:00
Test 3a8f946105 Scaffold: PLAN.md, tasks/INDEX.md, tasks/board.md 
Initial project structure documentation and task breakdown for Multi-Agent Dev Orchestrator (Temporal + Go).
 2026-08-20 22:10:14 -07:00