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‎alembic.ini‎

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[alembic]
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script_location = backend/db_migrations
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prepend_sys_path = .
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[loggers]
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keys = root,sqlalchemy,alembic
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[handlers]
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keys = console
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[formatters]
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keys = generic
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[logger_root]
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level = WARN
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handlers = console
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[logger_sqlalchemy]
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level = WARN
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handlers =
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qualname = sqlalchemy.engine
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[logger_alembic]
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level = INFO
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handlers =
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qualname = alembic
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[handler_console]
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class = StreamHandler
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args = (sys.stdout,)
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level = NOTSET
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formatter = generic
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[formatter_generic]
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format = %(levelname)-5.5s [%(name)s] %(message)s

‎patterns.json‎

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{
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"question": "How many spec-driven patterns can we define across the stack?",
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"summary": {
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"category_count": 6,
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"pattern_count": 93
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},
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"categories": [
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{
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"name": "Backend",
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"count": 32,
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"patterns": [
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"HTTP endpoints",
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"CRUD models",
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"Validation rules",
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"Auth + permissions",
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"Rate limits + quotas",
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"Request/response schemas",
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"Logging patterns",
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"Exception handling",
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"Background jobs",
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"Scheduled tasks",
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"Webhook endpoints",
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"Notification triggers",
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"API pagination",
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"DB migrations",
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"Caching strategy",
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"Event publishing (Kafka/SQS)",
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"Event subscribing",
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"Retry policies",
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"Idempotency rules",
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"Security policies",
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"Config schemas",
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"Feature flags",
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"A/B experiment wiring",
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"Go HTTP CRUD router",
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"Rust Axum CRUD router",
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"Java Spring CRUD controller",
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"Node Express JWT auth",
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"Go HTTP JWT middleware",
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"Node BullMQ worker",
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"Python Celery worker",
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"Node Kafka consumer",
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"Go NATS subscriber"
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]
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},
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{
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"name": "Frontend",
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"count": 19,
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"patterns": [
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"Data forms",
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"Validation",
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"Data tables (sort, filter, paginate)",
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"CRUD UI",
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"Modals/dialogs",
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"Hero sections/layouts",
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"Sidebar/navigation",
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"Theming",
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"Global state slices",
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"API clients",
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"Error boundaries",
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"Toast notifications",
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"Responsive rules",
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"Component libraries",
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"Live previews",
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"Real-time listeners",
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"Settings pages",
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"React CRUD table",
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"React form validation"
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]
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},
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{
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"name": "Data & ML",
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"count": 17,
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"patterns": [
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"ETL pipelines",
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"Feature preprocessing",
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"Validation checks",
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"Model definitions",
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"Training loops",
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"Fine-tuning config",
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"Inference endpoints",
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"FastAPI inference API",
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"Monitoring/metrics",
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"Drift rules",
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"Batch jobs",
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"Data schemas",
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"Storage rules",
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"ML training job",
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"ML eval job",
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"ML quantization job",
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"ML inference profile"
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]
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},
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{
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"name": "Agent/AI",
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"count": 11,
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"patterns": [
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"Task definitions",
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"Tool schemas",
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"Memory schemas",
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"Policy rules",
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"Safety constraints",
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"Self-play loops",
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"Reward definitions",
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"Prompt templates",
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"Evaluation scripts",
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"LLM chat (FastAPI)",
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"LLM chat (Express)"
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]
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},
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{
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"name": "Infra",
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"count": 12,
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"patterns": [
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"Docker templates",
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"Deployments",
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"Autoscaling",
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"Load balancers",
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"Metrics dashboards",
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"Log pipelines",
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"Secrets management",
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"Permissions/IAM",
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"SSL & domains",
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"CICD workflows",
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"K8s deployment + service",
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"Docker Compose service"
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]
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},
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{
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"name": "CLI",
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"count": 2,
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"patterns": [
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"Python Click command",
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"Node Yargs command"
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]
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}
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]
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}

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