Building AI Agents That Don’t Break: Reliability, Loops, and Tool-Calling Failures
This story is from 2026-10-12. It is preserved in the archive; the latest stories are on the live feed.
Short answer: AI agents break because every extra step multiplies the chance of error. The most common failures are infinite loops, wrong or malformed tool calls, runaway costs, lost context, and unsafe actions. To make agents reliable, keep the design simple, set hard limits on steps and spend, va…
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- 2026-10-12 10:36 · DEV Community — AI
Building AI Agents That Don’t Break: Reliability, Loops, and Tool-Calling Failures