Operability Minimum#
This page defines the minimum operational loop for small teams maintaining SMonitor-integrated libraries.
Weekly checks (recommended)#
Top repeated warning/error codes.
New unknown or uncatalogued codes.
Error trend by library and version.
Bundle quality in incoming support reports.
Release-candidate checks#
pytestin clean environment.make -C docs htmlwithout broken references.API contract tests pass.
one integration smoke run in each ecosystem library.
Support loop#
Reproduce from message + minimal script.
If needed, reproduce from diagnostics bundle.
Triage by
codeandtrace_hash.Patch with tests.
Publish changelog entry referencing affected codes.
What to automate first#
contract checks (
strict_signals,strict_schema);bundle export smoke step in CI;
docs build gate;
issue templates that request code/reproducer/environment.
AI-assisted loop (optional)#
use
agentprofile and structured bundles for triage;keep human review mandatory for all proposed fixes;
store triage decisions for recurring patterns.
Why this matters#
For small teams, predictable operational loops reduce support cost more than ad-hoc debugging sessions, and keep diagnostics quality stable over time.