Debugging multi-step LLM workflows: how developers trace failures upstream
Dry_Raise_3418 · reddit · 2026-09-03
A Reddit thread on debugging growing LLM apps. With multiple model calls, retrieval and tool use, the final response rarely reveals where things broke — it could be retrieved context, an earlier model response, or an unexpected tool result. The author polls developers on their approach: tracing full request chains, inspecting each step, evaluating intermediate outputs, or focusing only on the final result.
More from coding & agent
- Jensen Huang explains the agent harness at G20: an exoskeleton around LLMs — rohanpaul_ai · 2026-09-03
- Solo dev ships Stalkr analytics: brand mentions, share of voice, AI-sorted feedback — marclou · 2026-09-03
- Sentry Adds Support for Both Effect v3 and v4 TypeScript Framework Versions — zeeg · 2026-09-03
- NVIDIA's Object Oriented Agents: build AI agents via simple Python subclassing — s_scardapane · 2026-09-03
- Programmer satirizes total AI outage: 'I don't remember how to think for myself' — Calrose_rice · 2026-09-03
- Agents + Revid CLI: auto-generating weekly product highlight videos sent to affiliates — tibo_maker · 2026-09-03