Tag: AI-generated code
Refactoring AI-Generated Codebases: A Step-By-Step Architecture Rescue Plan
A practical guide to rescuing architectures built by LLMs. Learn how to use static analysis, characterization tests, and theme-based refactoring to eliminate technical debt and restore reliability to AI-generated codebases.
Vibe Coding Explained: How AI-Generated Code Is Rewriting Software Engineering in 2026
Vibe coding lets you build apps using natural language prompts instead of manual coding. Learn how this AI-driven shift impacts productivity, security, and the future of software engineering in 2026.
Test Coverage Targets for AI-Generated Code: What's Realistic and Useful
Traditional 80% test coverage isn't enough for AI-generated code. Learn the realistic coverage targets by risk level, why mutation testing matters, and how to avoid costly failures with practical, data-backed strategies.
When to Rewrite AI-Generated Modules Instead of Refactoring
AI-generated code often works-but not well. Learn when to rewrite instead of refactoring to avoid technical debt, security risks, and wasted effort. Data-driven guidelines for smarter decisions.