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State machine engine proposed to fix AI coding drift

Original: Most AI coding workflows today are defined based on prompts, and they start to drift once the context gets too long. I i

A developer argues that most AI coding workflows are built on prompts, which begin to drift as context grows too long. The proposed fix is a graph engine based on a state machine added to the AIDLC workflow, guiding execution step by step to keep long coding sessions on track and avoid losing coherence.

Why now: Long-context drift is a common frustration among developers using AI coding tools, so a structural fix draws attention

AIDLCAI coding workflowsstate machine graph engine

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Evidence

• Most AI coding workflows today are defined based on prompts, and they start to drift once the context gets too long. I introduced a graph engine based on a state machine to the AIDLC workflow. This engine guides the workflow's execution, which solves the drift problem.… · qtalen@me.dm

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