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概要
ポモドーロタイマーにゲーミフィケーション要素を追加し、ユーザーのモチベーションと継続利用を高める。
実装項目
- 経験値(XP)システム:完了したポモドーロに応じてXP付与しレベルアップ
- 達成バッジ:実績(3日連続・1週間10回完了など)でバッジ獲得
- 週間/月間統計グラフ機能:完了率、平均集中時間などの詳細なデータ表示
- ストリーク表示:連続達成日数のカウント ...
Summary
dm.config was introduced in v0.5.x (PR #295) and carries one attribute today: adopt_orphan_tick_font: bool. The override
pattern (dm.config.override(...)) is battle-tested. The next step is wiring ...
enhancement
Summary
Add metrics and dashboards that answer how the system is running: API, scraper, queues, database, cache/search, and
host/container resources.
This complements logs. Logs explain what happened; ...
infrastructure
observability
status:ready
Summary
Create a durable architecture note for the observability decisions made in planning: app emits once, collector fans out,
local-first dashboards, optional SaaS exporters, and provider-neutral app ...
documentation
observability
status:ready
!-- deslop-advisory --
🧹 Deslop advisory (report-only)
Advisory only — this never blocks a PR or auto-merge. Behavior-preserving suggestions from the technical-deslop rubric.
Found 2 suggestion(s): ...
deslop-findings
[Feature/58] JWT 기반 인증 시스템 구현
회원가입/로그인/자동갱신/로그아웃/라우트 보호
📦 신규 파일 (2개)
| 파일 | 내용 |
| --- | --- |
| backend/app/utils/jwt.py | access/refresh 토큰 생성·디코드 유틸 |
| frontend/src/context/AuthContext.jsx | 전역 ...
Summary
Add the collector/provider architecture for sending telemetry to multiple destinations without coupling app code to any
one vendor.
The app emits once. The collector routes to local and remote ...
infrastructure
observability
status:ready
Summary
matplotlib 3.6+ recommends fig, axes = plt.subplots(..., layout= constrained ) as the modern default. dartwork-mpl s
simple_layout is GridSpec-arithmetic-based and does not coordinate with constrained_layout=True ...
enhancement
概要
ポモドーロタイマーのカスタマイズ性を高める機能追加を行う。ユーザー個人の好みに応じた設定を可能にし、継続率向上を狙う。
実装項目
- 時間設定を固定(25分)→15/25/35/45分から選択可能にする
- テーマ切り替え(ダーク/ライト/フォーカスモード)
- サウンドのオン/オフ切り替え(開始音・終了音・tick音)
- 休憩時間を5/10/15分から選択できるように ...
ml-router:
Ensure deterministic preprocessing and strict feature ordering
Labels
: ml, reliability
Description:
Predictions can vary if preprocessing consumes features in non-deterministic order. ...
level2
nsoc26

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