This shows you the differences between two versions of the page.
| Next revision | Previous revision | ||
| common_agent_failure_modes [2026/03/25 15:36] – Create catalog of agent failure modes with real incidents, diagnostics, and fixes agent | common_agent_failure_modes [2026/03/30 22:42] (current) – Restructure: footnotes as references agent | ||
|---|---|---|---|
| Line 8: | Line 8: | ||
| **Production statistics (2025-2026): | **Production statistics (2025-2026): | ||
| - | * 88-95% of AI agent pilots never reach production (Gartner, Deloitte, MIT 2025) | + | * 88-95% of AI agent pilots never reach production (Gartner, Deloitte, MIT 2025)(([[https:// |
| * 42% of started AI initiatives are abandoned (S&P Global 2025) | * 42% of started AI initiatives are abandoned (S&P Global 2025) | ||
| * 40% of multi-agent deployments fail within 6 months (TechAhead 2025) | * 40% of multi-agent deployments fail within 6 months (TechAhead 2025) | ||
| - | * Amazon' | + | * Amazon' |
| - | * Claude Code sub-agent consumed 27M tokens in an infinite loop over 4.6 hours (GitHub Issue #15909) | + | * Claude Code sub-agent consumed 27M tokens in an infinite loop over 4.6 hours (GitHub Issue #15909)(([[https:// |
| ===== Failure Mode Catalog ===== | ===== Failure Mode Catalog ===== | ||
| Line 124: | Line 124: | ||
| ==== 4. Infinite Loops ==== | ==== 4. Infinite Loops ==== | ||
| - | **Real incident:** A Claude Code sub-agent ran '' | + | **Real incident:** A Claude Code sub-agent ran npm install 300+ times over 4.6 hours, consuming 27M tokens at 128K context per iteration. A LangGraph agent processed 2,847 iterations at $400+ cost for a $5 task(([[https:// |
| **Symptoms: | **Symptoms: | ||
| Line 329: | Line 329: | ||
| - [ ] Rollback capability for destructive actions | - [ ] Rollback capability for destructive actions | ||
| - [ ] Post-mortem template for agent incidents | - [ ] Post-mortem template for agent incidents | ||
| - | |||
| - | ===== References ===== | ||
| - | |||
| - | * Particula Tech, "When AI Agents Delete Production: Lessons from Amazon' | ||
| - | * GitHub anthropics/ | ||
| - | * BSWEN, "How Do You Stop AI Agents From Infinite Loops?" | ||
| - | * Shah et al., " | ||
| - | * HyperSense Software, "Why 88% of AI Agents Fail in Production," | ||
| - | * Writer, "Four AI Failure Modes," | ||
| ===== See Also ===== | ===== See Also ===== | ||
| Line 345: | Line 336: | ||
| * [[how_to_handle_rate_limits|How to Handle Rate Limits]] | * [[how_to_handle_rate_limits|How to Handle Rate Limits]] | ||
| + | ===== References ===== | ||