Why AI coding agents reverse earlier decisions, and five fixes

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An AI coding agent does not hold opinions between sessions; it reasons only from the input it receives at the moment, which may be the code, opened files, and current conversation. A decision made in an earlier session can be absent from that input, leaving the agent to propose the opposite choice with full confidence. The author identifies five causes, including decisions lost when a conversation ends, context dropped during automatic summarization, and decisions that stay siloed within a single tool. Each cause has a relatively simple remedy, such as recording decisions in a file the next session reads before starting. The harder task, the author notes, is keeping those records consistently maintained as the codebase changes.

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