Silent Agent Failures: Clean runs that do the wrong thing
shishir-mishra · reddit · 2026-08-21
The author warns that "silent failures"—clean runs that produce incorrect results without errors—are more dangerous than crashes in AI agent systems.
- Common Failure Modes: Wrong-target success, misinterpreting empty results, partial completion reported as full, and self-grading.
- Monitoring Gaps: Dashboards miss these errors because they are deviations from intent, not technical failures.
- Proposed Mitigations: Independent verification calls, pre-action expectation diffs, special handling for null results, and caps on irreversible actions.
The challenge is that these mitigations often double costs. The author seeks community input on cost-effective detection methods for production environments.
Related event: Silent Agent Failures Are Deadlier Than Crashes(2 posts)→
More from coding & agent
- Decision models match LLMs on routing and safety — and are 7-8x faster — randal_olson · 2026-10-16
- Temporal Serverless Workers on Cloud Run: queue-driven autoscaling, scale to zero — rseroter · 2026-10-16
- Meta's Superintelligence Lab Runs 200+ Direct Reports—A Lesson for Flat Multi-Agent Systems — peterjliu · 2026-10-16
- LangChain CEO: the most interesting agent harness work lives at the harness-infra boundary — hwchase17 · 2026-10-16
- GitSwarm paper: agents share branchable Git memory, solving all 30 IMOProofBench problems in one run — anirudhg9119 · 2026-10-16
- Hands-on with Gemini 4 Argon: faster than Opus 5.5 but hallucinates more and costs more — prasenx · 2026-10-16