This enables A/B testing, canary releases, kill switches for risky features, and gradual rollouts that reduce blast radius when something goes wrong. Catching bugs, code smells, and security vulnerabilities before they reach production saves engineering teams significant time and reduces technical debt. These tools analyze your codebase automatically — in the IDE, during code review,… Poursuivre la lecture AI Software Development and Engineering Roles are Being Rewritten
