How do we reduce risk before changing legacy code?
zCon starts with discovery, functional baselines, code and dependency analysis, documentation, risk mapping, and a controlled roadmap for stabilization and modernization.

Faster onboarding, safer modernizations, and lower long-term maintenance costs. AI is an accelerator, not a replacement for human engineering.
A low-risk, structured methodology for legacy transformation.
Clarify system risk, baseline behavior, maintenance needs, and modernization order.
zCon starts with discovery, functional baselines, code and dependency analysis, documentation, risk mapping, and a controlled roadmap for stabilization and modernization.
AI helps understand unfamiliar codebases, summarize modules, map dependencies, generate documentation, identify impact areas, and support safer bug fixes and refactoring.
Not always. zCon usually recommends phased stabilization, testing, targeted modernization, API extraction, and cloud migration before considering a complete rewrite.
Yes. zCon can provide SLA-based support, production fixes, enhancements, technical debt reduction, and gradual modernization for legacy applications.
We leverage Claude and Antigravity for unparalleled code understanding and deep architectural analysis, while utilizing Codex / GitHub Copilot for rapid, secure development and execution.