2025 was a year of rapid iteration for AI coding tools. From GPT-4 to Claude 3, from Copilot to Cursor—the landscape changed profoundly. This article reviews the year's key turning points.
2025 was the year AI coding went from chaos to order. Tool landscape settled, engineering practices accumulated, evaluation standards established. This article records my observations on AI coding's evolution this year.
After a year of using AI to write code, the biggest question remains: how do you judge if AI-generated code is good quality? This article gives a practical evaluation framework—not just 'review it,' but how to actually assess quality.