The slow feedback loop in infrastructure automation drastically hampers productivity, leading to inefficiencies as reorientation after context switching consumes time and disrupts workflow.
Infrequent testing due to slow feedback leads to larger change batches, making it difficult to identify issues, accumulate bugs, and operate with false code assumptions.
Longer feedback cycles stretch development timelines and reduce throughput, as early-detected problems become later, more challenging and costly issues.
The constant delays and frustrations associated with slow feedback loops can significantly affect morale, contributing to a sense of stagnation and decreased motivation.
#infrastructure-automation #development-cycles #feedback-loops #productivity-challenges #quality-assurance
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