AI-Assisted Development: Faster, but at the Cost of Quality

SimpleOne warns that AI does speed up prototyping and routine development, but without strict rules it easily degrades the codebase. Internally, the team built a Gantt chart prototype in 4 hours instead of a week, but then rewrote about 60% of the code. The takeaway is simple: measure not generation speed, but cycle time, code churn, defects and review time.

AI-processed from Habr AI; edited by Hamidun News
AI-Assisted Development: Faster, but at the Cost of Quality
Source: Habr AI. Collage: Hamidun News.
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AI-assisted development creates a paradox: a team starts writing code faster, but the final code can get worse. SimpleOne has analyzed a typical trap of AI development, where a local speedup at the generation stage easily masks growing technical debt, rework and review time.

How much does AI speed up code development?

In a Gantt chart development project, the neural network produced a working version in about four hours instead of a week of manual work, but about 60% of the code had to be rewritten.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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