Still Trying to Reduce Technical Debt Manually?
好的,我现在需要帮用户总结一篇文章的内容,控制在100个字以内。用户已经提供了文章的英文内容,我得先仔细阅读并理解文章的主要观点。 首先,文章讨论了技术债务(Technical Debt)的积累原因,包括过时代码、快速规划、需求变更等。接着,它提到大型和老旧的代码库通常会有更多的技术债务,这会阻碍现代化进程。然后,文章列举了减少技术债务的一些策略,比如教育产品负责人、模块化架构、自动化测试、分类技术债务、创建技术债务登记簿、改善文档以及管理策略如审核AI生成代码和治理措施。 最后,文章介绍了Azul和OpenRewrite如何帮助自动移除死代码,提升现代化效率,并建议通过合作伙伴进行现代化服务。 现在,我需要将这些要点浓缩成一个简洁的中文总结。要确保涵盖技术债务的原因、影响以及解决方案,并且不超过100字。 可能的结构是:先说明技术债务的问题及其影响,然后提到解决方案包括管理和自动化方法,并最后提到Azul和OpenRewrite的作用。 检查字数是否符合要求,并确保语言流畅自然。 </think> 技术债务源于过时或低质代码积累,影响软件开发效率和现代化进程。解决方案包括教育产品负责人、模块化架构、自动化测试、分类管理及治理措施。工具如Azul和OpenRewrite可自动移除死代码,提升效率。 2026-1-29 20:43:32 Author: securityboulevard.com(查看原文) 阅读量:0 收藏

      Technical debt builds up when outdated, unused, or poorly written code persists in the codebase, slowing software development, increasing code maintenance and jeopardizing modernization efforts. Causes range from rushed planning and shifting requirements to obsolete technology and inconsistent coding practices. 

      In general, the larger and older a codebase, the more tech debt it contains due to the significant time and resources required to eliminate it. That means most application modernization initiatives will simply bring along the tech debt, slowing down and potentially jeopardizing the success of the project. And with all current versions of Java ending support in the same three-year window, tech debt will dramatically impact an enterprise’s ability to scale up their modernization initiatives. 

      Aren’t there any strategies for reducing technical debt? 

      Strategies for reducing technical debt range from manual best practices to automated tactics that can liberate people from drudge work. Here are a few strategies that some experts recommend.

      Best Practices for Reducing Technical Debt
      Educate the product owner on the true cost of technical debt: Keep story point values accurate for future stories that require resolving existing technical debt.

      Modularize your architecture: Take a firm stance on technical debt in new components or libraries in the application. Once agility is visible in these new components, teams will naturally want to extend those practices to other parts of the code.

      Write automated tests: Nothing prevents bugs better than automated tests and continuous integration. When a new bug is found, write a new test to reproduce it and fix the issue. If that bug ever resurfaces, the automated test will catch it before customers do.

      Atlassian, Say ‘bye’ to tech debt: Agile solutions for clean development

      Organize Your Technical Debt to Manage It
      Categorize technical debt: Categorize your sources of technical debt based on its impact on performance, security, and maintainability. Rank the most critical issues to address first.

      Create a technical debt register: Keep a register of all identified technical debt to help you keep track of what’s been fixed and what still needs attention.

      Improve documentation: Good documentation is like a roadmap for your systems. It’s essential for understanding and tackling technical debt efficiently. Document existing systems and create comprehensive documentation for all systems, including hardware configurations and software setups.

      Elevate Technology, 8 Tips for Tackling Technical Debt at Your Company

      Apply Management Strategies to Technical Debt
      Audit your AI-generated code: AI lets you crank out code rapidly, but people seem more adept at cranking out new code rather than fixing it. Too much of that mediocre code is being moved into production without review by expert developers or automated quality assurance checks.

      Apply governance to technical debt: A good governance program should set requirements for testing and QA as well as specify when humans should be involved instead of automated QA decisions, Buniva says. It should also address training requirements so that anyone developing code is educated on the standards.

      CIO, 6 Tips for Tackling Technical Debt

      Azul, in conjunction with OpenRewrite, gives development teams an accurate and automated way to remove unused and dead code from their applications, which is a critical step to ensure application modernization success. As a result, enterprises can dramatically reduce the time, resources and costs associated with identifying and removing technical debt. 

      By combining Azul’s production-aware insights with OpenRewrite’s ability to safely and automatically transform code at scale, enterprises have a clear path to avoiding the looming “End of Support” crunch for their entire Java estate. It also provides a model for how runtime data and automated codebase updates can work together going forward to keep codebases lean, secure and ready for what’s next. 

      The quickest way to get started may be to engage with one of Azul’s partners that offer Java app modernization services. Partners are trained and certified by Azul, and can deliver strategic advice that can help minimize risk while project-managing your modernization projects at the kind of scale necessary to avoid the pending end of support crisis.

      READ THE EBOOK: The Java Application Modernization Crisis

      The post Still Trying to Reduce Technical Debt Manually? appeared first on Azul | Better Java Performance, Superior Java Support.

      *** This is a Security Bloggers Network syndicated blog from Security Blog Posts - Azul authored by Azul. Read the original post at: https://www.azul.com/blog/still-trying-to-reduce-technical-debt-manually/


      文章来源: https://securityboulevard.com/2026/01/still-trying-to-reduce-technical-debt-manually/
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