Automated Code Remediation at Scale, 2nd Edition
by Pat Johnson, Olga Kundzich, Jonathan Schneider
Chapter 2. Leveling Up Your Automated Code Remediation Journey
Developers can now generate new code at unprecedented speed, but with that velocity comes an even greater burden: maintaining, securing, and modernizing your vast, interconnected codebases. Identifying issues is no longer the hard part. Resolving them at scale is.
Refactoring or modernizing across these systems is not a simple grep-and-replace operation—it’s a multirepository, multiteam, and multisystem challenge involving millions to billions of lines of code. This is the reality for many enterprise organizations today. Attempting to remediate at this scale using traditional manual approaches and even with AI assistance is not only time-consuming and error-prone—it’s not scalable.
In this chapter, we’ll explore why today’s tools can’t scale, what a scalable remediation system requires, and how organizations can build confidence in mass-scale change through automation—moving from manual firefighting to continuous modernization.
Too Many Alerts, Not Enough Action
Scanning and search tools were once the backbone of software maintenance—helping teams surface vulnerabilities, outdated dependencies, and code quality issues. But in today’s world of fast-growing, interconnected codebases, these tools are no longer enough. They reveal problems, but the burden of fixing them still falls to overextended development teams.
SAST and SCA tools highlight vulnerabilities but leave developers to investigate and fix each issue manually. ...
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