Lesson 932 of 1596
Debugging Event-Driven Systems with AI Help
Patterns for using Claude on Kafka, SQS, and Pub/Sub flows where logs are scattered.
Creators · AI-Assisted Coding · ~7 min read
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
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
- 1Ask AI to explain event-driven in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "Debugging Event-Driven Systems with AI Help" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check tracing against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
10 questions · Score saves to your progress.
Tutor
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