sda-controller

name	SDA Controller
description	Simulate-Deploy-Augment loop replacing traditional PDCA

SDA Controller Skill

Replaces traditional PDCA (Plan-Do-Check-Act) with a faster, AI-native iteration loop.

SDA vs PDCA

PDCA	SDA	Improvement
Plan	Simulate	Test before building
Do	Deploy	Canary first
Check	Augment	Real-time learning
Act	(Continuous)	No manual cycle

SDA Loop

┌─────────────────────────────────────────────┐
│                                             │
│  SIMULATE ──► DEPLOY ──► AUGMENT            │
│      ▲                       │              │
│      └───────────────────────┘              │
│                                             │
└─────────────────────────────────────────────┘

Phase Definitions

1. SIMULATE

Run solution in high-fidelity sandbox before any real deployment.

simulate:
  environment: sandbox
  actions:
    - Run test suite: `npm run test`
    - Build check: `npm run build`
    - Load test: `npm run load-test:smoke`
  success_criteria:
    tests_pass: true
    build_success: true
    performance_threshold: "p95 < 200ms"

2. DEPLOY

Small-scale canary release with rollback capability.

deploy:
  strategy: canary
  initial_traffic: 5%
  ramp_schedule:
    - 5%: 10min
    - 25%: 30min
    - 50%: 1hr
    - 100%: 2hr
  rollback_trigger:
    error_rate: "> 1%"
    latency_p99: "> 500ms"

3. AUGMENT

Agents learn from telemetry, adjusting in real-time.

augment:
  telemetry_sources:
    - Error logs
    - Performance metrics
    - User feedback signals
  feedback_actions:
    - Auto-fix common patterns
    - Generate hotfix PRs
    - Update configuration
  learning_loop:
    - Store successful patterns
    - Avoid failed approaches

Workflow Commands

/iterate simulate    # Run simulation only
/iterate deploy      # Deploy with canary
/iterate full        # Complete SDA cycle
/iterate rollback    # Emergency rollback

Integration Points

Component	Purpose
eval-harness	Powers SIMULATE phase
verification-loop	Continuous checks
GitHub Actions	DEPLOY automation
Sentry	AUGMENT telemetry

Success Metrics

Metric	Target
Simulation pass rate	100%
Canary success rate	> 99%
Mean time to augment	< 5min
Rollback frequency	< 1%