Legacy modernization is where AI agents are most tempting and most dangerous. Skaftor grounds agents in the system's real structure and gates every change by blast radius, so you can move fast without detonating a landmine.
You want agents to help modernize a large, poorly-understood codebase. But agents don't know which components are load-bearing, and a wide-reaching change to legacy code can cause an outage before anyone notices.
Skaftor reverse-engineers the codebase into a knowledge graph — dependencies, owners, and the latent risks (landmines) worth flagging before work starts.
Before an agent's change merges, Skaftor computes its blast radius from the graph, so review and testing scale to real reach — not diff size.
Approval gates, drift checks, and release-confidence scoring guard each step, so modernization proceeds incrementally with a rollback path, not in one risky leap.
Ground the agents in the system's real dependency and ownership graph, compute each change's blast radius before merge, and gate wide-reaching changes for extra review and staged rollout. Skaftor does all three, so agents accelerate modernization without tripping hidden dependencies.
Last updated July 28, 2026 · https://skaftor.com/use-cases/modernize-legacy-code-with-agents