https://takao.blog/en/tags/agent/Recent content in Agent on Commentary of TakaoHugo -- gohugo.ioenCommentary of TakaoMon, 13 Jul 2026 12:17:24 +0900https://takao.blog/en/web/ai-agents-codebase-refactoring-future/Sun, 05 Jul 2026 00:00:00 +0900https://takao.blog/en/web/ai-agents-codebase-refactoring-future/<img src="https://takao.blog/img/thumbnail/ai-agents-codebase-refactoring-future-en.png" alt="Featured image of post Refactoring Large Codebases using Autonomous AI Agents" /><h2 id="the-rise-of-ai-assisted-refactoring">The Rise of AI-Assisted Refactoring </h2><p>Refactoring large codebases has traditionally been one of the most expensive and risk-prone activities in software engineering. Autonomous AI agents are now changing this landscape, offering the ability to reason about code structure, generate transformations, and validate correctness at a scale previously impossible.</p> <h2 id="automated-code-cleanup">Automated Code Cleanup </h2><p>AI agents excel at mechanical refactoring tasks. Dead code elimination, unused import removal, and consistent formatting can be handled by agents that parse the entire AST of a project. Tools like <strong>Codema</strong> and <strong>OpenAI Codex CLI</strong> already demonstrate how agents can identify deprecated patterns and suggest modern equivalents.</p>