Why it matters: AI removes the friction that used to force architectural thought, so codebases can pass every test while quietly drifting into three incompatible patterns doing the same job.
The Details:
Generation speed has outrun comprehension speed. Writing code by hand used to force reflection because the author had to live with every line; AI produces functions fast enough that no one is forced to ask where a piece belongs or what it assumes about the rest of the system.
Watch for local coherence with global drift: each generated diff looks clean and each function does what it claims, yet the system accumulates several slightly different solutions to the same problem because the model matches nearby code shape rather than questioning whether that shape was correct to begin with.
A useful test is whether the explanation of a change is longer than the change itself. If the architectural move cannot be stated in one sentence before generating, there probably was not a real move, just added mass without added clarity. Setting a written constraint and naming the pattern to extend before prompting keeps the next hour of output from wandering.
Three habits preserve the picture: a weekly read of one module or flow with no editing, just checking whether it still coheres; writing a plain-language sentence of intent before opening any tool; and keeping a short list of three or four load-bearing architectural decisions to reread before nontrivial changes. Developers who keep this list stop being surprised by their own codebase and delegate to AI more confidently because they know which parts they are still holding themselves.
Bottom Line: Generation got fast; understanding did not, and the developers who keep asking what the system is meant to be will outlast the ones who just keep shipping functions.
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