AI Engineering/Phase 14/Lesson 37

Runtime Feedback Loops

Agents that do not see real command output guess. A feedback runner captures stdout, stderr, exit code, and timing into a structured record the next turn can read. Then the agent reacts to facts instead of to its own prediction of facts.

Build 50 min Python (stdlib)

Prerequisites: Phase 14 · 32 (Minimal Workbench), Phase 14 · 35 (Init Script)

#Learning Objectives

Distinguish runtime feedback from observability telemetry.
Build a feedback runner that wraps shell commands and persists structured records.
Truncate large outputs deterministically so the loop stays within token budget.
Refuse to advance the loop when feedback is missing.

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The text and code of this lesson are based on AI Engineering from Scratch by Rohit Ghumare, MIT licensed.