Phase 1 Implementation Plan CODITECT Core Production Readiness

Phase 1 Implementation Plan - CODITECT Core Production Readiness

Project: CODITECT Core Framework Production Hardening Phase: Phase 1 - Critical Path (P0 Blockers) Duration: 2 weeks (10 working days) Team: 2 Developers + 1 DevOps Engineer (part-time) Budget: $21,600 Target Completion: December 6, 2025 Production Launch Target: December 10, 2025

Executive Summary

Phase 1 addresses 4 critical P0 blockers preventing production deployment:

Test coverage <15% (need 60%+)
No production monitoring
Error handling at 32% (need 100%)
Missing documentation navigation

Success Criteria: All P0 quality gates passed, enabling production GO decision on December 6.

Resource Allocation

Team Composition

Role	Allocation	Duration	Cost	Responsibilities
Developer 1	Full-time	10 days	$9,600	Test coverage (task.py, orchestrator.py, executor.py)
Developer 2	Full-time	10 days	$9,600	Error handling (all scripts), documentation navigation
DevOps Engineer	Part-time (50%)	10 days	$2,400	Production monitoring (Prometheus/Grafana/Jaeger)
TOTAL	-	-	$21,600	-

Daily Rate Assumptions

Developer: $960/day ($120/hour × 8 hours)
DevOps: $480/day (part-time, $120/hour × 4 hours)

Task Breakdown

Workstream 1: Test Coverage (Developer 1) - 10 days

Goal: Increase test coverage from <15% to 60%+

Week 1: Core Module Testing (Days 1-5)

Day 1: Setup & Infrastructure

Task 1.1: Configure pytest environment
- Install pytest, pytest-cov, pytest-mock
- Create pytest.ini configuration
- Setup coverage reporting (.coveragerc)
- Configure CI integration hooks
- Deliverable: Working pytest setup
- Acceptance: pytest --version works, coverage reports generate
- Estimated: 4 hours
Task 1.2: Create test directory structure
- tests/unit/ for unit tests
- tests/integration/ for integration tests
- tests/fixtures/ for test data
- conftest.py for shared fixtures
- Deliverable: Complete test directory structure
- Acceptance: Directory structure follows pytest conventions
- Estimated: 2 hours
Task 1.3: Write tests for task.py (AgentTask model)
- Test AgentTask dataclass initialization
- Test to_dict() and from_dict() serialization
- Test is_ready() dependency checking
- Test is_blocked() inverse dependency checking
- Test validation in __post_init__()
- Test factory functions (create_design_task, etc.)
- Deliverable: tests/unit/test_task.py with 30+ test cases
- Acceptance: 100% coverage of task.py (287 lines)
- Estimated: 6 hours
- Dependencies: Task 1.1 complete

Day 2: State Manager Testing

Task 1.4: Write tests for state_manager.py (StateManager)
- Test atomic write operations (temp file + rename)
- Test checksum computation and verification
- Test state save/load roundtrip
- Test corruption detection (invalid checksum)
- Test concurrent read safety
- Test crash recovery (interrupted writes)
- Deliverable: tests/unit/test_state_manager.py with 25+ test cases
- Acceptance: 90%+ coverage of state_manager.py (346 lines)
- Estimated: 8 hours
- Dependencies: Task 1.1 complete

Day 3: Orchestrator Testing (Part 1)

Task 1.5: Write tests for orchestrator.py - Task Management
- Test add_task() with dependency validation
- Test get_task() retrieval
- Test update_task() modification
- Test delete_task() removal
- Test dependency error handling
- Deliverable: tests/unit/test_orchestrator_tasks.py with 20+ test cases
- Acceptance: 60%+ coverage of task management methods
- Estimated: 8 hours
- Dependencies: Task 1.3, 1.4 complete

Day 4: Orchestrator Testing (Part 2)

Task 1.6: Write tests for orchestrator.py - Execution Flow
- Test get_next_task() priority selection
- Test start_task() with dependency checks
- Test complete_task() status updates
- Test fail_task() error handling
- Test generate_project_report() metrics
- Deliverable: tests/unit/test_orchestrator_execution.py with 25+ test cases
- Acceptance: 80%+ coverage of orchestrator.py (620 lines)
- Estimated: 8 hours
- Dependencies: Task 1.5 complete

Day 5: Executor Testing

Task 1.7: Write tests for executor.py (TaskExecutor)
- Test interactive mode execution
- Test API mode with mock subprocess
- Test script execution with timeout
- Test parallel execution planning
- Test agent registry integration
- Deliverable: tests/unit/test_executor.py with 20+ test cases
- Acceptance: 70%+ coverage of executor.py (580 lines)
- Estimated: 8 hours
- Dependencies: Task 1.3 complete

Week 2: Integration Testing (Days 6-10)

Day 6: Memory Context Integration Testing

Task 1.8: Write tests for memory_context_integration.py
- Test process_checkpoint() end-to-end workflow
- Test session export with mock data
- Test privacy control application
- Test pattern extraction
- Test database storage
- Deliverable: tests/unit/test_memory_context.py with 15+ test cases
- Acceptance: 60%+ coverage of memory_context_integration.py (531 lines)
- Estimated: 8 hours
- Dependencies: Task 1.1 complete

Day 7: Script Testing

Task 1.9: Write tests for critical scripts
- Test export-dedup.py (deduplication logic)
- Test create-checkpoint.py (checkpoint creation)
- Test setup-new-submodule.py (submodule setup)
- Test batch-setup.py (batch processing)
- Deliverable: tests/unit/test_scripts.py with 20+ test cases
- Acceptance: 50%+ coverage of 4 critical scripts
- Estimated: 8 hours
- Dependencies: Task 1.1 complete

Day 8: Integration Testing

Task 1.10: Write integration tests for complete workflows
- Test end-to-end task execution (add → execute → complete)
- Test checkpoint processing pipeline
- Test multi-task dependency resolution
- Test state persistence across restarts
- Deliverable: tests/integration/test_workflows.py with 10+ test cases
- Acceptance: All critical paths tested
- Estimated: 8 hours
- Dependencies: Tasks 1.3-1.9 complete

Day 9: Coverage Analysis & Gap Filling

Task 1.11: Measure and improve coverage
- Run pytest --cov to generate coverage report
- Identify modules below 60% coverage
- Write additional tests for gaps
- Focus on edge cases and error paths
- Deliverable: Coverage report showing 60%+ overall
- Acceptance: 60%+ overall test coverage achieved
- Estimated: 8 hours
- Dependencies: Tasks 1.3-1.10 complete

Day 10: Documentation & CI Integration

Task 1.12: Document testing strategy and integrate CI
- Write tests/README.md with testing guide
- Create TESTING-STRATEGY.md documentation
- Configure GitHub Actions for automated testing
- Setup coverage reporting (Codecov or similar)
- Deliverable: Complete testing documentation + CI pipeline
- Acceptance: Tests run automatically on PR, coverage reported
- Estimated: 6 hours
- Dependencies: Task 1.11 complete

Workstream 1 Total: 80 hours over 10 days

Workstream 2: Error Handling (Developer 2) - 5 days

Goal: Implement comprehensive error handling in all 21 Python scripts (100% coverage)

Week 1: Error Handling Implementation (Days 1-5)

Day 1: Error Handling Framework

Task 2.1: Design error handling standards
- Define standard exception hierarchy
- Create error logging format
- Design graceful degradation patterns
- Document retry logic standards
- Deliverable: ERROR-HANDLING-STANDARDS.md
- Acceptance: Standards reviewed and approved
- Estimated: 4 hours
Task 2.2: Create error handling utilities
- Build ErrorHandler class with logging
- Create retry decorators (@retry_on_failure)
- Build validation helper functions
- Create error context manager
- Deliverable: scripts/core/error_handling.py
- Acceptance: Reusable error handling library operational
- Estimated: 4 hours
- Dependencies: Task 2.1 complete

Day 2: Critical Scripts (Part 1)

Task 2.3: Add error handling to orchestration scripts
- orchestrator.py - Add try/except blocks, logging
- executor.py - Add timeout handling, subprocess errors
- state_manager.py - Add file I/O error handling
- Deliverable: 3 scripts with comprehensive error handling
- Acceptance: All error paths logged, graceful degradation
- Estimated: 8 hours
- Dependencies: Task 2.2 complete

Day 3: Critical Scripts (Part 2)

Task 2.4: Add error handling to automation scripts
- export-dedup.py - Add file validation, error recovery
- create-checkpoint.py - Add git error handling
- setup-new-submodule.py - Add validation, rollback
- batch-setup.py - Add batch error handling
- Deliverable: 4 scripts with comprehensive error handling
- Acceptance: All scripts handle failures gracefully
- Estimated: 8 hours
- Dependencies: Task 2.2 complete

Day 4: Memory Context & LLM Execution

Task 2.5: Add error handling to memory context system
- memory_context_integration.py - Add database error handling
- llm_execution/execute_claude.py - Add API error handling
- llm_execution/execute_gpt.py - Add rate limiting
- llm_execution/execute_gemini.py - Add retry logic
- Deliverable: 4 scripts with comprehensive error handling
- Acceptance: All API errors handled, logged, retried
- Estimated: 8 hours
- Dependencies: Task 2.2 complete

Day 5: Remaining Scripts & Validation

Task 2.6: Add error handling to remaining scripts
- All remaining scripts in scripts/ directory
- Validate error handling completeness
- Test error scenarios manually
- Update documentation
- Deliverable: 100% error handling coverage
- Acceptance: All all scripts have error handling
- Estimated: 8 hours
- Dependencies: Tasks 2.3-2.5 complete

Workstream 2 Total: 40 hours over 5 days

Goal: Create 13 navigation files and fix broken links

Week 2: Documentation Enhancement (Days 6-7)

Task 2.7: Create category README.md files (6 files)
- docs/01-getting-started/README.md
- docs/02-architecture/README.md
- docs/03-project-planning/README.md
- docs/04-implementation-guides/README.md
- docs/multi-agent-reference/README.md
- docs/06-research-analysis/README.md
- Each README includes: category overview, file index, quick links
- Deliverable: 6 README.md files
- Acceptance: All categories navigable
- Estimated: 4 hours
Task 2.8: Create category Claude.md files (6 files)
- Same 6 directories, create Claude.md for AI agent context
- Include: purpose, key files, agent usage patterns
- Deliverable: 6 Claude.md files
- Acceptance: AI agents can navigate documentation
- Estimated: 3 hours

Day 7: Link Fixes & Master Index

Task 2.9: Fix broken links
- Fix all agents links in docs/multi-agent-reference/AGENT-INDEX.md
- Fix cross-references in docs/03-project-planning/project-plan.md
- Fix links in timeline documents
- Validate all links using link checker
- Deliverable: All broken links fixed
- Acceptance: 0 broken links in documentation
- Estimated: 4 hours
Task 2.10: Create master documentation index
- Create docs/README.md as master index
- Include navigation to all 6 categories
- Add search tips and documentation guide
- Deliverable: Master README.md
- Acceptance: Documentation fully navigable
- Estimated: 1 hour

Workstream 3 Total: 12 hours over 1.5 days

Workstream 4: Production Monitoring (DevOps) - 10 days (part-time)

Goal: Deploy complete monitoring stack with Prometheus, Grafana, Jaeger

Week 1: Metrics & Dashboards (Days 1-5)

Day 1: Infrastructure Setup

Task 3.1: Provision monitoring infrastructure
- Setup Prometheus server (Docker or GCP)
- Setup Grafana server
- Configure network access and security
- Deliverable: Prometheus + Grafana running
- Acceptance: Both services accessible via web UI
- Estimated: 4 hours

Day 2: Metrics Collection

Task 3.2: Instrument CODITECT code with Prometheus metrics
- Add prometheus_client library to dependencies
- Instrument orchestrator with metrics (tasks started, completed, failed)
- Instrument executor with metrics (execution time, success rate)
- Add custom metrics for business KPIs
- Deliverable: Code instrumented with Prometheus metrics
- Acceptance: Metrics exposed on /metrics endpoint
- Estimated: 4 hours

Day 3: Grafana Dashboards (Part 1)

Task 3.3: Create system health dashboard
- CPU, memory, disk usage panels
- Active tasks, task queue length
- Task completion rate (tasks/hour)
- Error rate (errors/minute)
- Deliverable: System Health Dashboard
- Acceptance: Real-time system metrics visible
- Estimated: 4 hours

Day 4: Grafana Dashboards (Part 2)

Task 3.4: Create user experience dashboard
- API latency (p50, p95, p99)
- Task execution time distribution
- Success rate by agent type
- User activity patterns
- Deliverable: User Experience Dashboard
- Acceptance: UX metrics visible and actionable
- Estimated: 4 hours

Day 5: Alerting

Task 3.5: Configure alert rules
- P0 Critical alerts (error rate >5%, API latency >5s)
- P1 Warning alerts (error rate >1%, disk >80%)
- Setup alerting channels (email, Slack)
- Test alert delivery
- Deliverable: Alert rules configured and tested
- Acceptance: Alerts fire correctly on threshold breach
- Estimated: 4 hours

Week 2: Distributed Tracing (Days 6-10)

Day 6: Jaeger Setup

Task 3.6: Deploy Jaeger distributed tracing
- Setup Jaeger all-in-one Docker container
- Configure collector and query endpoints
- Setup network access
- Deliverable: Jaeger operational
- Acceptance: Jaeger UI accessible, ready for traces
- Estimated: 4 hours

Day 7: Tracing Instrumentation

Task 3.7: Instrument code with OpenTelemetry
- Add opentelemetry-api and opentelemetry-sdk libraries
- Instrument orchestrator with spans (task lifecycle)
- Instrument executor with spans (execution flow)
- Add custom attributes (agent type, priority, phase)
- Deliverable: Code instrumented with distributed tracing
- Acceptance: Traces visible in Jaeger UI
- Estimated: 4 hours

Day 8: Integration Testing

Task 3.8: Test monitoring stack end-to-end
- Run sample workload (execute 10+ tasks)
- Verify metrics appear in Prometheus
- Verify dashboards update in Grafana
- Verify traces appear in Jaeger
- Trigger alerts and verify delivery
- Deliverable: Monitoring stack validated
- Acceptance: All monitoring components working together
- Estimated: 4 hours

Day 9: Documentation

Task 3.9: Document monitoring setup and usage
- Create MONITORING-GUIDE.md with setup instructions
- Document dashboard usage
- Document alert response procedures
- Create runbook for common issues
- Deliverable: Complete monitoring documentation
- Acceptance: Operators can use monitoring without assistance
- Estimated: 4 hours

Day 10: Production Deployment

Task 3.10: Deploy monitoring to production environment
- Deploy Prometheus to production (GCP/AWS)
- Deploy Grafana with production configuration
- Deploy Jaeger collector
- Configure production alert channels
- Deliverable: Production monitoring operational
- Acceptance: Monitoring running in production environment
- Estimated: 4 hours

Workstream 4 Total: 40 hours over 10 days (part-time)

Timeline & Dependencies

Gantt Chart (Visual Representation)

Week 1 (Days 1-5):
Developer 1:  [Test Setup][task.py][state_mgr][orch-1][executor]
Developer 2:  [Error Std][Error Lib][Orch Err][Automation][Memory]
DevOps:       [Infra][Metrics][Dash-1][Dash-2][Alerts]

Week 2 (Days 6-10):
Developer 1:  [Memory][Scripts][Integration][Coverage][CI/Docs]
Developer 2:  [Remaining][READMEs][CLAUDEs][Links][Index]
DevOps:       [Jaeger][Trace][Test][Docs][Deploy]

Critical Path

Day 1: Test setup (1.1) must complete before any testing begins
Day 1: Error handling framework (2.1-2.2) must complete before script updates
Day 1: Infrastructure setup (3.1) must complete before metrics collection
Day 9: Coverage analysis (1.11) requires all unit tests complete
Day 10: CI integration (1.12) requires coverage analysis complete
Day 6: Navigation files (2.7-2.8) can start after error handling complete
Day 8: Monitoring integration test (3.8) requires all instrumentation complete

Parallel Work Streams

Fully Parallel: Workstreams 1, 2, 4 can proceed independently for Days 1-5
Partially Parallel: Developer 2 can work on documentation (Days 6-7) while Developer 1 completes testing
Sequential: CI integration (1.12) must wait for coverage analysis (1.11)

Risk Management

High Risk Items

Risk	Probability	Impact	Mitigation
Test coverage falls short of 60%	Medium	High	Add Day 11 buffer if needed, prioritize high-value modules
Prometheus integration complex	Medium	Medium	Use prometheus_client library (well-documented), allocate extra time if needed
Broken link fixes reveal deeper issues	Low	Medium	Limit scope to critical links only, defer non-blocking fixes to Phase 2
Developer availability	Low	High	Cross-train team members, maintain documentation of progress

Mitigation Strategies

Daily Standups: 15-minute sync each morning to identify blockers
Mid-Week Checkpoint: Day 3 review to assess progress, adjust plan if needed
Slack Time: 20% buffer built into estimates for unexpected issues
Fallback Plan: If test coverage target not met by Day 9, extend to Day 12 (acceptable 2-day delay)

Quality Gates

Exit Criteria for Phase 1

All 4 quality gates must pass for Phase 1 completion:

Quality Gate 1: Test Coverage ✅

Overall test coverage ≥60%
Core modules (task.py, orchestrator.py, state_manager.py, executor.py) ≥70%
pytest suite runs without errors
CI integration operational

Validation: Run pytest --cov and verify coverage report

Quality Gate 2: Error Handling ✅

All 21 Python scripts have try/except blocks
All scripts log errors with context
Graceful degradation implemented
No unhandled exceptions in production scenarios

Validation: Manual code review + error scenario testing

Quality Gate 3: Production Monitoring ✅

Prometheus collecting metrics from all services
2 Grafana dashboards operational (System Health, User Experience)
Jaeger distributed tracing working
Alert rules configured and tested
Documentation complete

Validation: Run sample workload, verify metrics/traces/alerts

6 category README.md files created
6 category Claude.md files created
Master docs/README.md created
All broken links fixed (0 broken links)
Link checker validation passes

Validation: Manual navigation test + automated link checker

Deliverables Checklist

Code Deliverables

tests/ directory with 100+ test cases (pytest suite)
scripts/core/error_handling.py (reusable error handling library)
21 Python scripts with error handling
Prometheus metrics instrumentation in orchestrator/executor
OpenTelemetry tracing instrumentation

Documentation Deliverables

Infrastructure Deliverables

Prometheus server (production)
Grafana with 2 dashboards (production)
Jaeger collector (production)
GitHub Actions CI pipeline
Alert notification channels (email/Slack)

Reports

Test coverage report (>60%)
Error handling audit (100% scripts)
Monitoring validation report
Documentation link validation report

Success Metrics

Quantitative Metrics

Metric	Baseline	Target	Measurement
Test Coverage	<15%	≥60%	pytest --cov report
Error Handling	32%	100%	Script audit (21/21)
Monitoring Uptime	0%	99.9%	Prometheus self-monitoring
Broken Links	20+	0	Link checker tool
Mean Time to Detect (MTTD)	N/A	<5 min	Alert latency

Qualitative Metrics

Developer Confidence: Team comfortable deploying to production
Documentation Usability: New users can navigate docs without assistance
Monitoring Actionability: Alerts provide clear action items
Test Maintainability: Tests easy to update as code evolves

Communication Plan

Daily Standups (15 minutes, 9:00 AM)

Format: Round-robin (each person shares)
Questions:
1. What did you complete yesterday?
2. What will you work on today?
3. Any blockers?

Mid-Week Checkpoint (Wednesday, Day 3)

Duration: 30 minutes
Agenda:
- Review progress against timeline
- Assess risk items
- Adjust plan if needed
- Update stakeholders

End-of-Week Review (Friday, Day 5)

Duration: 1 hour
Agenda:
- Demo completed work
- Review quality gates status
- Plan Week 2 priorities
- Identify dependencies

Phase 1 Completion Review (Day 10)

Duration: 2 hours
Attendees: Full team + stakeholders
Agenda:
- Quality gate validation (live demo)
- Deliverables review
- Go/No-Go decision for production
- Plan Phase 2 kickoff

Handoff & Next Steps

Phase 1 → Production Transition

Upon Phase 1 Completion

Conduct final quality gate validation
Deploy monitoring to production
Run smoke tests in production
Monitor for 24 hours
GO/NO-GO DECISION: December 6, 2025

If GO

Schedule production launch: December 10, 2025
Begin Phase 2 planning (commands/skills implementation)
Announce to beta users

If NO-GO

Identify remaining blockers
Allocate additional 3-5 days for fixes
Re-validate quality gates
Reschedule GO decision

Appendix A: Detailed Task Estimates

Task Estimation Methodology

Estimation Formula

Estimate = (Optimistic + 4×Most Likely + Pessimistic) / 6

Example: Task 1.3 (Write tests for task.py)

Optimistic: 4 hours (everything goes smoothly)
Most Likely: 6 hours (normal development)
Pessimistic: 10 hours (unexpected complexity)
Estimate: (4 + 4×6 + 10) / 6 = 6.3 hours ≈ 6 hours

Confidence Levels

High Confidence (±10%): Infrastructure setup, documentation tasks
Medium Confidence (±25%): Testing, error handling implementation
Low Confidence (±50%): Integration tasks, monitoring instrumentation

Appendix B: Tool & Technology Stack

Testing

pytest - Test framework
pytest-cov - Coverage reporting
pytest-mock - Mocking library
Codecov - Coverage visualization (optional)

Error Handling

logging (Python stdlib) - Structured logging
traceback (Python stdlib) - Error context
Custom ErrorHandler class - Standardized error handling

Monitoring

Prometheus - Metrics collection
prometheus_client - Python instrumentation library
Grafana - Dashboards and visualization
Jaeger - Distributed tracing
OpenTelemetry - Tracing instrumentation

CI/CD

GitHub Actions - Automated testing pipeline
pytest-GitHub-actions-annotate-failures - PR annotations

Appendix C: Contact Information

Team Roster

Name	Role	Email	Slack	Availability
TBD	Developer 1 (Testing)	dev1@example.com	@dev1	9 AM - 6 PM EST
TBD	Developer 2 (Error Handling)	dev2@example.com	@dev2	9 AM - 6 PM EST
TBD	DevOps (Monitoring)	devops@example.com	@devops	1 PM - 5 PM EST
TBD	Project Manager	pm@example.com	@pm	9 AM - 6 PM EST

Escalation Path

Technical Blocker: Escalate to Senior Architect within 2 hours
Resource Issue: Escalate to Project Manager immediately
Scope Change: Escalate to Product Owner for approval

Document Version: 1.0 Created: 2025-11-22 Owner: CODITECT Core Team Status: Ready for Execution Next Review: Day 3 (Mid-Week Checkpoint)

Ready to Execute?

Pre-Flight Checklist

Team members assigned and confirmed
Development environments setup
Access to repositories granted
Communication channels configured (Slack, email)
Stakeholders notified of Phase 1 start
Daily standup scheduled (9:00 AM recurring)

To begin Phase 1, run

cd /Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/core/coditect-core
git checkout -b phase-1-production-hardening
# Begin Task 1.1, 2.1, 3.1 in parallel

Executive Summary​

Resource Allocation​

Team Composition​

Daily Rate Assumptions​

Task Breakdown​

Workstream 1: Test Coverage (Developer 1) - 10 days​

Week 1: Core Module Testing (Days 1-5)​

Day 1: Setup & Infrastructure​

Day 2: State Manager Testing​

Day 3: Orchestrator Testing (Part 1)​

Day 4: Orchestrator Testing (Part 2)​

Day 5: Executor Testing​

Week 2: Integration Testing (Days 6-10)​

Day 6: Memory Context Integration Testing​

Day 7: Script Testing​

Day 8: Integration Testing​

Day 9: Coverage Analysis & Gap Filling​

Day 10: Documentation & CI Integration​

Workstream 2: Error Handling (Developer 2) - 5 days​

Week 1: Error Handling Implementation (Days 1-5)​

Day 1: Error Handling Framework​

Day 2: Critical Scripts (Part 1)​

Day 3: Critical Scripts (Part 2)​

Day 4: Memory Context & LLM Execution​

Day 5: Remaining Scripts & Validation​

Workstream 3: Documentation Navigation (Developer 2) - 1.5 days​

Week 2: Documentation Enhancement (Days 6-7)​

Day 6: Navigation Files​

Day 7: Link Fixes & Master Index​

Workstream 4: Production Monitoring (DevOps) - 10 days (part-time)​

Week 1: Metrics & Dashboards (Days 1-5)​

Day 1: Infrastructure Setup​

Day 2: Metrics Collection​

Day 3: Grafana Dashboards (Part 1)​

Day 4: Grafana Dashboards (Part 2)​

Day 5: Alerting​

Week 2: Distributed Tracing (Days 6-10)​

Day 6: Jaeger Setup​

Day 7: Tracing Instrumentation​

Day 8: Integration Testing​

Day 9: Documentation​

Day 10: Production Deployment​

Timeline & Dependencies​

Gantt Chart (Visual Representation)​

Critical Path​

Parallel Work Streams​

Risk Management​

High Risk Items​

Mitigation Strategies​

Quality Gates​

Exit Criteria for Phase 1​

Quality Gate 1: Test Coverage ✅​

Quality Gate 2: Error Handling ✅​

Quality Gate 3: Production Monitoring ✅​

Quality Gate 4: Documentation Navigation ✅​

Deliverables Checklist​

Code Deliverables​

Documentation Deliverables​

Infrastructure Deliverables​

Reports​

Success Metrics​

Quantitative Metrics​

Qualitative Metrics​

Communication Plan​

Daily Standups (15 minutes, 9:00 AM)​

Mid-Week Checkpoint (Wednesday, Day 3)​

End-of-Week Review (Friday, Day 5)​

Phase 1 Completion Review (Day 10)​

Handoff & Next Steps​

Phase 1 → Production Transition​

Upon Phase 1 Completion​

If GO​

If NO-GO​

Appendix A: Detailed Task Estimates​

Task Estimation Methodology​

Estimation Formula​

Example: Task 1.3 (Write tests for task.py)​

Confidence Levels​

Appendix B: Tool & Technology Stack​

Testing​

Executive Summary

Resource Allocation

Team Composition

Daily Rate Assumptions

Task Breakdown

Workstream 1: Test Coverage (Developer 1) - 10 days

Week 1: Core Module Testing (Days 1-5)

Day 1: Setup & Infrastructure

Day 2: State Manager Testing

Day 3: Orchestrator Testing (Part 1)

Day 4: Orchestrator Testing (Part 2)

Day 5: Executor Testing

Week 2: Integration Testing (Days 6-10)

Day 6: Memory Context Integration Testing

Day 7: Script Testing

Day 8: Integration Testing

Day 9: Coverage Analysis & Gap Filling

Day 10: Documentation & CI Integration

Workstream 2: Error Handling (Developer 2) - 5 days

Week 1: Error Handling Implementation (Days 1-5)

Day 1: Error Handling Framework

Day 2: Critical Scripts (Part 1)

Day 3: Critical Scripts (Part 2)

Day 4: Memory Context & LLM Execution

Day 5: Remaining Scripts & Validation

Workstream 3: Documentation Navigation (Developer 2) - 1.5 days

Week 2: Documentation Enhancement (Days 6-7)

Day 6: Navigation Files

Day 7: Link Fixes & Master Index

Workstream 4: Production Monitoring (DevOps) - 10 days (part-time)

Week 1: Metrics & Dashboards (Days 1-5)

Day 1: Infrastructure Setup

Day 2: Metrics Collection

Day 3: Grafana Dashboards (Part 1)

Day 4: Grafana Dashboards (Part 2)

Day 5: Alerting

Week 2: Distributed Tracing (Days 6-10)

Day 6: Jaeger Setup

Day 7: Tracing Instrumentation

Day 8: Integration Testing

Day 9: Documentation

Day 10: Production Deployment

Timeline & Dependencies

Gantt Chart (Visual Representation)

Critical Path

Parallel Work Streams

Risk Management

High Risk Items

Mitigation Strategies

Quality Gates

Exit Criteria for Phase 1

Quality Gate 1: Test Coverage ✅

Quality Gate 2: Error Handling ✅

Quality Gate 3: Production Monitoring ✅

Quality Gate 4: Documentation Navigation ✅

Deliverables Checklist

Code Deliverables

Documentation Deliverables

Infrastructure Deliverables

Reports

Success Metrics

Quantitative Metrics

Qualitative Metrics

Communication Plan

Daily Standups (15 minutes, 9:00 AM)

Mid-Week Checkpoint (Wednesday, Day 3)

End-of-Week Review (Friday, Day 5)

Phase 1 Completion Review (Day 10)

Handoff & Next Steps

Phase 1 → Production Transition

Upon Phase 1 Completion

If GO

If NO-GO

Appendix A: Detailed Task Estimates

Task Estimation Methodology

Estimation Formula

Example: Task 1.3 (Write tests for task.py)

Confidence Levels

Appendix B: Tool & Technology Stack

Testing