Lesson 1330 of 2116
Debugging Event-Driven Systems with AI Help
Patterns for using Claude on Kafka, SQS, and Pub/Sub flows where logs are scattered.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2event-driven
- 3tracing
- 4correlation IDs
Concept cluster
Terms to connect while reading
Section 1
The premise
AI can stitch logs across services if you give it correlation IDs and timestamps; otherwise it confabulates.
What AI does well here
- Reconstruct a probable event timeline from interleaved logs.
- Suggest missing tracing spans and where to add them.
- Generate replay scripts for stuck messages.
What AI cannot do
- Read your broker's internal state directly.
- Know which messages are safe to replay vs. which would double-charge.
Key terms in this lesson
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