LLMs make it easier to write code, but understanding, reviewing, and maintaining it still takes time, trust, and good judgment.

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LLMs have made code generation faster and cheaper, but the real bottlenecks in software development remain unchanged: code reviews, knowledge transfer, testing, debugging, and team coordination. While AI tools can quickly produce working code, understanding, verifying, and maintaining that code requires the same human effort as before. The challenge has shifted from writing code to ensuring quality and shared understanding as teams process larger volumes of generated code, making careful review and thoughtful design more critical than ever.

Writing Code Was Never The Bottleneck

LLMs shift the workload — they don’t remove it

Understanding code is still the hard part

Teams still rely on trust and shared context

LLMs are powerful — but they don’t fix the fundamentals

<p>Where the scraper even got this image 🙈</p>


<p>This puts the finger right on the core issue with LLM coding</p>
