The cost of generating functional code has dramatically decreased due to the widespread adoption of Large Language Models (LLMs). This change is considered permanent and necessitates a critical review of established engineering management principles. While the cost of code has fallen, claims of dramatic speedups in engineering organizations or the obsolescence of practices like code review and documentation remain unproven or incorrect.
Engineering management practices are built upon specific assumptions. For instance, velocity tracking assumes output reflects effort, and six-month onboarding assumes syntax learning is slow. With the change in code production costs, managers must scrutinize these foundational assumptions. Practices whose validity depends on the high cost of writing code need to be re-evaluated.
Not all management practices are affected by the reduced cost of code. Practices that rely on human coordination, trust-building, attention allocation, or verification of correctness remain relevant. These aspects of engineering work are fundamentally unchanged by LLM capabilities. The challenge for managers is to differentiate between practices that have become obsolete and those that continue to be essential, regardless of their perceived modernity.
There is a risk of discarding valuable practices simply because they seem 'old' or adopting new ones without a clear understanding of their underlying assumptions. This can lead to teams abandoning useful friction while retaining ineffective processes. A rigorous, assumption-based audit is necessary to ensure that management practices align with the current technological landscape, rather than making changes based on superficial judgments of age or trendiness.
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The introduction of Large Language Models (LLMs) has significantly reduced the cost of producing code, prompting a re-evaluation of traditional engineering management practices. Managers should audit the underlying assumptions of their practices, distinguishing between those affected by code cost changes and those based on human coordination or correctness. This shift requires focusing on what truly changed rather than discarding practices based on age.