Cybergizer implementation notes · Practical guide
Choose a bounded development task
Define behaviour and acceptance before generating implementation. Provide relevant repository context and constraints. Ask for a change small enough to review as one decision. Preserve a link between requirement, code and verification. The team remains responsible for deciding whether the proposed implementation is appropriate, regardless of which tool produced it.
Protect the review bottleneck
Review tests for meaningful behaviour rather than accepting checks that repeat the implementation. Inspect dependencies, permissions and integration effects. Track time spent explaining or correcting generated work. If changes arrive faster than reviewers can evaluate them, reduce batch size and improve context instead of treating an expanding review queue as evidence of higher productivity.
Measure delivery through operation
Compare time to accepted release, rework and service quality for comparable changes. Include tool operation and reviewer effort. Release through the normal recovery and monitoring process, then use incidents to improve requirements and checks. Keep working practices that improve the complete delivery loop. Avoid promising a universal productivity multiplier from a demonstration or a count of generated lines.
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