Devot Logo
Devot Logo
Arrow leftBack to blogs

Working Effectively with Legacy Code: A Pragmatic Developer’s Guide

Marko M.7 min readDec 10, 2025Technology
Marko M.7 min read
Contents:
Why we can’t ignore legacy code (even though we hate it)
Real-world challenges: lessons from the field
The developer’s toolbox for legacy survival
IDEs and editors
AI coding assistants and smart tools
Static code analysis and coverage tools
Version control and branching
Planning for modernization: steps that actually work
1. Build a safety net
2. Understand before you change
3. Secure and clean the environment
4. Incremental refactoring and documentation
5. Communication and collaboration
Leveraging AI: friend or foe?
Benefits
How to use AI responsibly
Measuring success and continuous improvement
Additional wisdom from The Pragmatic Programmer
Conclusion: a pragmatic way forward
Spread the word:
Keep readingSimilar blogs for further insights
Hotwire in Rails 8: How to Build Dynamic Applications Without Heavy JavaScript
Technology
Krešimir S.4 min readDec 3, 2025
Hotwire in Rails 8: How to Build Dynamic Applications Without Heavy JavaScriptHotwire in Rails 8 transforms how developers build dynamic applications. With Turbo for navigation and real-time updates, and Stimulus for lightweight JavaScript, Rails delivers modern, SPA-like experiences without the overhead of heavy front-end frameworks.
Web Scraping with Python: From Basics to Scalable Solutions
Technology
Dino G.7 min readNov 26, 2025
Web Scraping with Python: From Basics to Scalable SolutionsWeb scraping unlocks the hidden data behind millions of websites. With Python libraries like Requests, Beautiful Soup, and Scrapy, developers can extract, parse, and store structured datasets—from small experiments to production-scale crawlers—while following ethical best practices.
Top 10 Hardest Programming Languages Compared: What Makes Them Difficult?
Technology
Rino K.9 min readNov 19, 2025
Top 10 Hardest Programming Languages Compared: What Makes Them Difficult?A look at the world’s hardest programming languages — from C++ and Assembly to Haskell and Prolog — and why their steep learning curves still matter for systems, AI, and critical software powering today’s technology.