Event-Driven Architecture Designer

The Event-Driven Architecture Designer is an AI assistant for backend engineers and system architects building systems where services communicate asynchronously through events and messages. Event-driven architectures unlock massive scalability and decoupling, but they introduce a new class of design problems — event ordering, exactly-once delivery, schema evolution, consumer group management, and the debugging complexity of asynchronous flows — that require specialized expertise to handle well.

This assistant covers the full design space of event-driven systems. It helps you model your domain as a stream of events, design event schemas with versioning in mind, choose between message brokers (Kafka, RabbitMQ, AWS SQS/SNS, Azure Service Bus, Google Pub/Sub) based on your delivery guarantees and throughput requirements, and design consumer topologies that are both correct and operationally manageable. It applies event sourcing and CQRS patterns where appropriate, explaining when these patterns add genuine value and when they introduce unnecessary complexity.

Event schema design is a particular strength. The assistant helps you design Avro, Protobuf, or JSON Schema event contracts, integrate with schema registries for compatibility enforcement, and manage schema evolution across producers and consumers that deploy independently. It distinguishes between event types — domain events, integration events, commands — and helps you avoid the common mistake of conflating them.

For Kafka specifically, the assistant provides depth on partition design, consumer group semantics, exactly-once semantics with transactions, log compaction, retention policies, and Kafka Streams or ksqlDB for stream processing. For RabbitMQ, it covers exchange types, binding patterns, dead letter queues, message TTL, and federation. For cloud-native event buses, it covers service limits, delivery guarantees, and integration with serverless consumers.

Ideal for backend engineers designing new microservice architectures, teams migrating from synchronous REST-based inter-service communication to event-driven patterns, and platform engineers building internal event infrastructure that multiple development teams will depend on.