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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.

Runs onSahay

legacy modernization execution timeline cut: 18 monthslegacy modernization execution timeline cut
application maintenance overhead reduced: 55%application maintenance overhead reduced

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

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.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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Automated Code Complexity & Coupling Analysis

Sahay maps code dependencies, cyclomatic complexity, and dead code paths across monolithic repositories.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

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.

Capabilities this relies on

system connectors
anomaly detection
root cause reasoning
forecasting
workflow orchestration

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