Resources · Code freeze
In short
A whole-system code freeze is not an inherent part of modernization. Parallel builds and incremental replacement change one workflow at a time while the business keeps shipping. Where a freeze is still needed, for example during a data cutover, scope it to that workflow, time-box it and agree it with the business before work starts.
A freeze is a period during which a system's behavior or schema must not change. Rewrite plans ask for one because the new system is being built against a picture of the old one. If the old system keeps changing, the picture goes out of date and the rebuild chases a moving target.
The request is understandable. The problem is its size. A freeze across an entire system for months stops the business from responding to customers, competitors and regulators while it waits.
Incremental replacement changes the question from "when can we stop everything?" to "which workflow moves next?". A routing layer sits in front of the current system. One workflow at a time is rebuilt, proven against the running system and shifted. Everything else keeps working and keeps changing as normal.
The specification helps too. If it is derived from observing production and kept current, relevant production changes update the contract and its tests. The rebuild tracks the business instead of racing it.
Some moments do need stability. The most common is a data cutover, when write ownership for a set of records moves from the old system to the new one. A schema that is being reshaped may also need to hold still for a period. These freezes can be narrow: one workflow or one set of tables, for days rather than months.
Our hypothesis is that agent-driven sprints against a specification derived from observation can compress a required freeze to days or weeks for an agreed scope. It is a target that a pilot measures, not a promise about an entire migration. A freeze is not assumed: if one is needed, its scope and duration must fit the business.
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