SESSION 81 COWORK HANDOFF

Documentation for Handoffs

Session 81 Handoff: Groundbreaking AI Platform Features

From: Cursor Agent (Session 81) To: Cowork Agent Date: February 2, 2026 Priority: HIGH

Executive Summary

Session 81 completed the implementation of all groundbreaking features from the "GoGrab AI Platform: The Groundbreaking Plan". The platform now has 93+ MCP tools with advanced self-healing, evolution, and collective intelligence capabilities.

Your Mission: Validate that all new backend services are working correctly by testing the REST endpoints and MCP tools.

What Was Implemented

New Backend Services (6 created)

Service	Location	Purpose
CodeDnaService	`apis/backend-ai-api/src/app/learning/services/code-dna.service.ts`	Codebase fingerprinting
DecisionTimeMachineService	`apis/backend-ai-api/src/app/learning/services/decision-time-machine.service.ts`	Decision history navigation
CollectiveIntelligenceService	`apis/backend-ai-api/src/app/learning/services/collective-intelligence.service.ts`	Pattern sharing network
ProactiveAnalyzerService	`apis/backend-ai-api/src/app/learning/services/proactive-analyzer.service.ts`	Proactive suggestions
SelfHealingService	`apis/backend-ai-api/src/app/learning/services/self-healing.service.ts`	Auto-healing
CalibrationService	`apis/backend-ai-api/src/app/learning/services/calibration.service.ts`	Confidence calibration
AgentEvolutionService	`apis/backend-ai-api/src/app/infrastructure/services/agent-evolution.service.ts`	Agent specialization

New REST Controllers (6 created)

Controller	Base Path	Endpoints
CodeDnaController	`/learning/code-dna`	analyze, enforce, violations, profile, stats
DecisionTimeMachineController	`/learning/time-machine`	trace, pivots, simulate, loops, stats
CollectiveController	`/learning/collective`	join, leave, share, query, stats, participant
ProactiveController	`/learning/proactive`	suggestions, acknowledge, resolve, counts, status, analyze
HealthController	`/learning/health`	report, diagnose, heal
CalibrationController	`/learning/calibration`	calibrate, curve, stats, recalibrate, rebuild
EvolutionController	`/infrastructure/evolution`	profile, predict, specialists, cross-train, stats

New MCP Tools (15+ added)

Self-Healing (3): self_diagnose, self_heal, get_health_report Calibration (3): get_calibrated_confidence, view_calibration_curve, recalibrate_agent Evolution (4): get_agent_evolution, predict_best_agent, get_agent_specializations, estimate_task_complexity Code DNA (3): analyze_code_dna, enforce_code_dna, get_convention_violations Time Machine (4): trace_decision_chain, find_pivot_points, simulate_alternative, detect_decision_loops Collective (4): join_collective, share_pattern, query_collective, get_collective_stats Proactive (4): get_proactive_suggestions, acknowledge_suggestion, apply_suggestion, configure_proactive_rules

Testing Instructions

Prerequisites

Start the backend:

cd /Users/fguijarro/developer/repos/editor2
yarn serve:backend-ai

Verify backend is running:

curl http://localhost:3001/ai-api/health

Test Suite 1: Self-Healing Intelligence

# Get health report
curl http://localhost:3001/ai-api/learning/health/report

# Run diagnosis
curl -X POST http://localhost:3001/ai-api/learning/health/diagnose

# Trigger healing (if issues found)
curl -X POST http://localhost:3001/ai-api/learning/health/heal \
  -H "Content-Type: application/json" \
  -d '{"issueType": "low_confidence"}'

Expected: Health metrics including decision success rate, confidence calibration, outcome coverage

Test Suite 2: Confidence Calibration

# Get calibrated confidence
curl -X POST http://localhost:3001/ai-api/learning/calibration/calibrate \
  -H "Content-Type: application/json" \
  -d '{"rawConfidence": 0.85, "domain": "angular"}'

# View calibration curve
curl "http://localhost:3001/ai-api/learning/calibration/curve?domain=angular"

# Get calibration stats
curl http://localhost:3001/ai-api/learning/calibration/stats

Expected: Calibrated confidence between 0-1, quality indicator (excellent/good/fair/poor)

Test Suite 3: Agent Evolution

# Get evolution stats
curl http://localhost:3001/ai-api/infrastructure/evolution/stats

# Predict best agent for task
curl -X POST http://localhost:3001/ai-api/infrastructure/evolution/predict \
  -H "Content-Type: application/json" \
  -d '{"taskDescription": "Fix TypeScript compilation error", "domain": "typescript"}'

# Get specialists for domain
curl http://localhost:3001/ai-api/infrastructure/evolution/specialists/angular

Expected: Agent specializations, predicted best agent with confidence

Test Suite 4: Code DNA Fingerprinting

# Analyze code DNA
curl -X POST http://localhost:3001/ai-api/learning/code-dna/analyze \
  -H "Content-Type: application/json" \
  -d '{"projectPath": "/Users/fguijarro/developer/repos/editor2"}'

# Enforce conventions on code snippet
curl -X POST http://localhost:3001/ai-api/learning/code-dna/enforce \
  -H "Content-Type: application/json" \
  -d '{"code": "const my_variable = 1;", "projectPath": "/Users/fguijarro/developer/repos/editor2"}'

# Get DNA stats
curl http://localhost:3001/ai-api/learning/code-dna/stats

Expected: DNA profile with naming conventions, architecture patterns, state management style

Test Suite 5: Decision Time Machine

# Trace decision chain
curl -X POST http://localhost:3001/ai-api/learning/time-machine/trace \
  -H "Content-Type: application/json" \
  -d '{"sessionNumber": 80, "limit": 10}'

# Find pivot points
curl "http://localhost:3001/ai-api/learning/time-machine/pivots?session=80"

# Detect decision loops
curl http://localhost:3001/ai-api/learning/time-machine/loops

Expected: Decision chain with nodes, pivot points identified, loops with recommendations

Test Suite 6: Collective Intelligence

# Join collective
curl -X POST http://localhost:3001/ai-api/learning/collective/join \
  -H "Content-Type: application/json" \
  -d '{"userId": "cowork-agent", "consentLevel": "full"}'

# Share a pattern
curl -X POST http://localhost:3001/ai-api/learning/collective/share \
  -H "Content-Type: application/json" \
  -d '{"userId": "cowork-agent", "pattern": "Use inject() for DI", "description": "Angular best practice", "domain": "angular", "successRate": 0.95}'

# Query patterns
curl "http://localhost:3001/ai-api/learning/collective/query?domain=angular"

# Get stats
curl http://localhost:3001/ai-api/learning/collective/stats

Expected: Successful join, pattern sharing, query results, participant stats

Test Suite 7: Proactive Intelligence

# Get suggestions
curl http://localhost:3001/ai-api/learning/proactive/suggestions

# Get suggestion counts
curl http://localhost:3001/ai-api/learning/proactive/counts

# Get status
curl http://localhost:3001/ai-api/learning/proactive/status

# Trigger manual analysis
curl -X POST http://localhost:3001/ai-api/learning/proactive/analyze

Expected: Proactive suggestions list (may be empty initially), analysis status

Database Verification

Check New Data in MongoDB

// Connect to ai-mcp-dev database

// Check if calibration data is being stored
db.calibration_curves.find().limit(5)

// Check collective patterns
db.collective_patterns.find().limit(5)

// Verify decisions are getting episodes
db.episodes.countDocuments()

// Check pattern mining results
db.platform_patterns.countDocuments()

Key Collections to Monitor

Collection	Expected State
`decisions`	11,500+ documents
`episodes`	Should be growing (was 0)
`platform_patterns`	Should have patterns now
`calibration_curves`	New - for calibration data
`collective_patterns`	New - shared patterns

Known Issues & Gotchas

Playwright Warning: Build shows "Module not found: playwright" - this is expected, playwright is optional
Empty Episodes Initially: Episodes collection starts empty but should grow as decisions are logged
Cron Jobs: Pattern mining runs every 6 hours, health checks every 30 minutes

Success Criteria

All 7 test suites pass without 500 errors
Health report returns valid metrics
Calibration adjusts confidence based on domain
Code DNA generates fingerprint for project
Decision Time Machine can trace chains
Collective join/share/query workflow works
Proactive suggestions can be retrieved

Files to Review

New Services:

apis/backend-ai-api/src/app/learning/services/code-dna.service.ts
apis/backend-ai-api/src/app/learning/services/decision-time-machine.service.ts
apis/backend-ai-api/src/app/learning/services/collective-intelligence.service.ts

New Controllers:

apis/backend-ai-api/src/app/learning/controllers/code-dna.controller.ts
apis/backend-ai-api/src/app/learning/controllers/decision-time-machine.controller.ts
apis/backend-ai-api/src/app/learning/controllers/collective.controller.ts

MCP Tools:

MCP/mcp-gograb-ai/src/tools/groundbreaking-services.ts
MCP/mcp-gograb-ai/src/server.ts

Tests:

MCP/mcp-gograb-ai/src/__tests__/e2e/groundbreaking-features.test.ts

Contact

For questions or issues, check:

Session 80 README: docs/english/sessions/editor2/session-80/README.md
Plan: docs/english/Plans/supercharge-ai-mcp.plan.md
Progress: /Users/fguijarro/.cursor/projects/Users-fguijarro-developer-repos-editor2/progress.md

Handoff created by Cursor Agent - Session 81