AI coding agents often solve problems by adding code instead of rewriting it
bendee983 · x · 2026-07-29
The author says they have observed AI coding agents solving problems additively: instead of editing or deleting existing code, they tend to append new code or new structures on top of what is already in context.
Their intuition is that continuation is easier for LLMs than rewriting an artifact cleanly, though they stress this is empirical and not universal. The point is a practical one for agent-driven development: additive fixes may be a symptom of how these systems generate code.
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