Legacy Code Refactoring & Technical Debt Remediation Acceleration
A 15 year old enterprise logistics software company with a large monolithic codebase consisting of 2 million lines of legacy Java and JavaScript code.
Run on Sahay · Software Delivery & Quality
The challenge
Technical debt accumulated over a decade, making minor feature additions risky and time consuming for engineering teams.
Developers feared modifying legacy modules due to tight coupling, undocumented side effects, and lack of test coverage.
Refactoring proposals were routinely rejected by management because manual code modernization was estimated to take 18 months and $3M.
How Sahay solves it
Automated Code Complexity & Coupling Analysis
Sahay maps code dependencies, cyclomatic complexity, and dead code paths across monolithic repositories.
Incremental Modularization Playbooks
Generates step by step refactoring plans to decouple monolithic modules into standalone, maintainable services without downtime.
Automated Code Modernization & Syntax Migration
Upgrades deprecated API calls, modernizes legacy syntax, and enforces modern asynchronous patterns automatically.
Side Effect Free Regression Pinning
Creates safety test harnesses around legacy modules prior to refactoring, ensuring zero behavioral regressions during migration.
Technical Debt ROI & TCO Tracking
Quantifies maintenance hours saved and infrastructure cost reductions resulting from completed refactoring projects.
The outcome
- legacy modernization execution timeline cut
- 0 monthslegacy modernization execution timeline cut
- application maintenance overhead reduced
- 0%application maintenance overhead reduced
Legacy modernization execution timeline cut from 18 months to 4 months.
Application maintenance overhead reduced by 55%, freeing senior engineers for new product development.
Eliminated 350,000 lines of dead, deprecated, and unreachable legacy code.
Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.
Capabilities used
Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.
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