Barry.Adams.Axial ретвитнул

GitClear recently analyzed over 211 million lines of code to see what AI is actually doing to our code.
The results completely DESTROY the "hyper-productivity" narrative!
1. In 2021, 25% of code changes were refactoring (moving and consolidating code). By 2024, that plummeted to under 10%. Developers aren't taking the time to architect reusable modules anymore; they are just hitting 'Tab' and letting the AI generate another isolated, brute-force function.
2. Commits containing massive blocks of duplicated code skyrocketed by an astounding 800% last year. AI models are trained to predict the next token, not to enforce the DRY (Don't Repeat Yourself) principle. When you are building systems with high-stakes logic - like managing timezone conflicts and concurrent reservations for a sports venue booking platform - this kind of duplicated code is exactly how you introduce catastrophic bugs across different files.
3. Almost 8% of all newly added code is now being reverted or heavily revised within just two weeks of being committed. We aren't writing better code; we are just rapidly generating "mistake code" that has to be manually untangled later.
Google’s own DORA report backed this up with a brutal metric: For every 25% increase in AI adoption, delivery stability actually decreased by 7.2%.
When managing engineering teams at scale, the takeaway becomes glaringly obvious: AI is a phenomenal typing accelerator, but it is an atrocious software architect.
Stop measuring developer productivity by how many lines of code were generated this week. Start measuring it by how many lines you didn't have to write because the system was designed correctly the first time.
More code is not a feature. It is a liability.
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