A developer has identified five silent failure modes in AI agents after 35 days of solo ERP development. These failures are subtle, passing through code checks and tests without obvious errors, leading to data corruption or incorrect behavior. The identified modes include fixes that mask rather than solve issues, tests that pass due to flawed construction, AI memory confabulation, inaccurate counters, and creeping scope. AI
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IMPACT Highlights potential pitfalls in AI agent development and reliability, suggesting a need for more robust testing and validation methods.
RANK_REASON Developer's personal experience and analysis of AI agent failures.
