AI agents keep treating their own bad code as legacy and try to preserve it
cto_junior · x · 2026-07-24
A recurring failure mode for AI agents: they treat code they wrote one minute ago as if it were legacy.
The result is that they try to preserve bad code with backward-compatible changes across future sessions instead of replacing it outright. The post points to a real workflow problem in multi-session agent coding: agents need better state management and stronger willingness to refactor or delete their own recent output.
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