Marko M.7 min read
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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
