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Shared instructions treat AI guidance as a collaborative engineering asset. Teams version rules, examples, and boundaries close to the code and evolve them deliberately.
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Executable approach: can be applied and produces an outcome.
What organizes, connects, or makes decisions possible.
Shared instructions are jointly maintained rules that multiple people or systems apply consistently to recurring tasks.
The approach grew from practice in making knowledge and quality rules visible across teams. As generative AI spread, it was applied to reusable instructions for software teams and discussed as a technique for curated, shared guidance.
A central instruction acts like a shared rulebook: it defines the goal, boundaries, and expected format. Changes are versioned, reviewed, and distributed to every use so local copies do not drift.
Multiple uses draw their guidance from one maintained location.
Changes remain traceable and reviewable.
Ownership, review, and validity are explicit.
Shared instructions reduce conflicting ways of working; they require clear ownership and must leave room for context-specific decisions.
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