Enterprise Software

Exactly Who Does What

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Real Code. Real Transparency.

Here's an actual snippet from a project like yours — with comments showing what AI wrote vs. what our engineers added.

# Architecture designed by senior engineer.
# AI scaffolded the boilerplate. Engineers built the business logic and error handling.

from confluent_kafka import Consumer, Producer, KafkaException
from dataclasses import dataclass
from typing import Callable
import logging, json

@dataclass
class EventHandler:
    topic: str
    handler: Callable
    dead_letter_topic: str

class MicroserviceEventBus:
    """
    Human decision: Exactly-once semantics via idempotency keys.
    Dead-letter queue for failed events. Circuit breaker pattern.
    """
    def __init__(self, config: dict):
        self.consumer = Consumer(config["consumer"])
        self.producer = Producer(config["producer"])
        self.handlers: dict[str, EventHandler] = {}
        self.processed_ids: set = set()  # idempotency

    def register(self, topic: str, handler: Callable, dlq_topic: str):
        self.handlers[topic] = EventHandler(topic, handler, dlq_topic)
        self.consumer.subscribe([topic])

    def process(self):
        msg = self.consumer.poll(timeout=1.0)
        if msg is None or msg.error():
            return
        event = json.loads(msg.value())
        event_id = event.get("id")
        if event_id in self.processed_ids:
            logging.info(f"Duplicate event {event_id}, skipping")
            return
        try:
            handler = self.handlers[msg.topic()]
            handler.handler(event)
            self.processed_ids.add(event_id)
            self.consumer.commit()
        except Exception as e:
            logging.error(f"Event processing failed: {e}")
            self._send_to_dlq(msg, handler.dead_letter_topic, str(e))

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