2025年は「AIスピード」の年、2026年は「Ai品質」の年になるでしょう

In 2025, the AI-driven acceleration in software development led to unprecedented speeds in code delivery, facilitated by tools like coding agents and automation workflows. However, this rapid pace introduced challenges, such as logic errors and configuration mistakes in AI-generated code, resulting in increased post-release incidents and a growing reliability gap. The focus on speed overshadowed the importance of code quality, prompting a shift in 2026 towards ensuring the correctness and reliability of AI-generated code. Organizations are now prioritizing quality, maintaining thorough reviews, and implementing structured governance to address defects and improve long-term stability. This transition reflects a broader industry evolution from experimental AI use to disciplined, mature operations, emphasizing the need for accurate, reliable, and maintainable code over mere speed. As a result, engineering teams are redefining success metrics to prioritize trustworthiness and sustainability in their workflows.