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Parent bounty: #743
Mirrors the author-limited health cache report in #6957.
Bug
The API health endpoint returns live service status without an explicit cache directive. Clients or intermediaries can ...
Context
Currently, the dlight integration controls smart lamps and synchronizes their state via a DataUpdateCoordinator polling
get_state(force_update=True) every 30 seconds.
However, users might also ...
enhancement
Probleem
De README (sectie authenticatie) verwijst nog naar UserMapping.TeamLeadLoginId dat moet overeenkomen met de
username-kolom. Sinds de V6-vereenvoudiging is de mapping puur TripPin-gebaseerd: UserMapping.TripPinUserName ...
documentation
tech-debt
Add a new named export fizzBuzzRange(start, end) to src/lib/main.js that returns the FizzBuzz array for the inclusive
integer range start..end (e.g. fizzBuzzRange(1,5) = [ 1 , 2 , Fizz , 4 , Buzz ]). Reuse ...
Context
Currently, our tests workflow (.github/workflows/tests.yaml) runs pytest on push and pull request, but we do not track
or report test coverage in CI. Furthermore, we don t enforce any minimum ...
enhancement
Probleem
db.sqlite-shm, db.sqlite-wal en cds-test.log zijn meegecommit, maar zijn gegenereerde/lokale bestanden die niet in
versiebeheer horen (TA Bijlage A). .gitignore dekt momenteel wel *.sqlite maar ...
chore
tech-debt
From codex review of #1251 (LoRA resume a killed run , 2026-06-13).
resumeTrainingRun (server/services/loraTraining/index.js) currently refuses FLUX.2 runs with RESUME_UNSUPPORTED_RUNTIME,
because scripts/train_flux2_lora.py ...
future
Problem
The dogfood archive had ChatGPT raw exports available, but the active archive had no chatgpt-export sessions. That
contradicted Polylogue s advertised ChatGPT account-export coverage and left ...
area:parser
area:pipeline
theme:operations
type:fix
Context
Follow-up from the cross-family review of PR #13152. The PR shipped saved-layout helpers for Neo.dashboard.DockZoneModel
and was approved as merge-eligible; the review surfaced one non-blocking ...
ai
architecture
enhancement
Problem
model.learn(replay_weights={ coding : -1.0}) passes negative weights through to sample(). max(0.0, weight) in the sample
call silently clamps them to zero, but this means a user typo produces ...
bug
v0.11.2

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