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feat: S08.03 slice 4 set command for in-RAM configuration injection
#303
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🛠️ Refactor suggestion | 🟠 Major | 🏗️ Heavy lift
Add a context parameter to the new
setcallback API.The new callback currently cannot carry per-instance state without globals. Please align this new callback family with the repository callback contract by adding a
void* contextparameter and a paired context argument inExampleInteractive_Run.Proposed API shape
As per coding guidelines: “For new callbacks, the function pointer must take a
void* contextparameter; config struct exposes paired context field; when several callbacks form a logical feature, share one context field.”📝 Committable suggestion
🤖 Prompt for AI Agents
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Declined for this slice — leaving as-is.
Rationale:
ExampleInteractivelives inExample/Common/, which is Tier 3 (best-effort examples, lowest support bar — see CLAUDE.md "Support tiers"). The Callback Conventions section is in scope for library callbacks (Tier 1/2Core/,Platform/); the existingExampleInteractiveSwitchHandlernext to this one was added without context for the same reason. Adding context toSetnow would also pullSwitchinto scope per the same section's "the class that owns them is next touched" rule (since this PR touchesExampleInteractive), widening the slice beyond config-injection.The current FreeRTOS
OnSethandler uses file-static globals, which is the documented pattern for the example tier — it's already what the existing POSIXExampleAppName_Set/ExampleSwitchConfig_SetByNamehelpers do. There's no current consumer for instance-state, and CLAUDE.md "Don't add features beyond what the task requires" / "Don't design for hypothetical future requirements" applies.If a multi-instance integrator surfaces a real need, we'll migrate
Switch+Settogether in one principled change rather than bolting context onto one of them now.There was a problem hiding this comment.
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@DavidCozens, understood — the Tier 3 / YAGNI reasoning is clear and well-documented. I'll withdraw the suggestion and record the exemption for future reviews.✏️ Learnings added
🧠 Learnings used