AI Coding Assistants Miss the Real Bottlenecks in Software Development
By
mooreds
Pulled from the oven just right. Trustworthy, fact-dense, deeply satisfying.
Summary
The article critiques the tech industry's obsession with AI coding assistants that promise to increase code output velocity, arguing that writing code was never the real bottleneck. The author contends that the actual problems in software development are organizational and process-related: unclear requirements, slow review processes, deployment fears, excessive meetings, and bureaucratic decision-making. The piece suggests that focusing on AI tools to write code faster misses the fundamental issues that slow down software delivery, and that leadership should address these systemic problems instead of chasing superficial productivity metrics.
Key quotes
· 4 pulledAI coding tools are optimising the wrong thing and nobody wants to hear it.
Writing code was already fast. The bottleneck is everything else: unclear requirements, review queues, terrified deploy cultures, and an org chart that needs six meetings to decide what colour the button should be.
We're rolling out AI coding assistants across every team. Early numbers show a 40% increase in code output. This is going to transform our velocity.
The room does that thing where half the people nod along and the other half develop a sudden interest in their laptops.
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