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Başvurunu Yap[AIP] CookTrace v1.2.0: Ingredient-Linked Steps, Wide-Screen Desktop, Cookbook Drag-and-Drop
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CookTrace is a self-hosted alternative to Mealie / Tandoor / Paprika: recipes, pantry inventory, shopping lists, and a cook diary in one app. AGPL-3.0, single Docker container, native Android app.
Part of the TraceApps family: NutriTrace (nutrition), CookTrace (recipes / pantry / shopping), LiftTrace (strength / lifting).
What v1.2.0 adds
- Ingredient links on recipe steps. Link specific ingredients to the step that uses them, and Cook Mode shows each step's linked ingredients inline with their quantities, no more scrolling back up to check how much flour a step needs. Tapping one checks it off the main list too, and finishing a step checks off everything linked to it. Tandoor imports carry this linkage over automatically.
- Wide-screen desktop layouts across six main pages plus Cookbooks. Settings, Manage, Shopping, Diary, Pantry, and Recipes all get real desktop treatments instead of a stretched-out phone layout: masonry shopping lists, a two-pane Settings shell, denser pantry and diary grids, and wider content caps on ultrawide monitors.
- Cookbooks get search, drag-and-drop reorder, and a cover image. Pick a recipe card up from anywhere on it to reorder, not just a tiny handle. Cookbook cards now show the same info as the main Recipes grid (category, rating, tags, pantry match).
- Kitchen auto-share was silently dropping recipes created on the Android app. Recipes made on your phone weren't fanning out to other Kitchen members. Fixed, and toggling auto-share off then back on backfills anything missed.
- Mobile ingredient-name suggestions no longer cover the keyboard. The field used the browser's native suggestion picker, which some mobile WebViews render as a full-screen overlay fighting the keyboard for space. Replaced with an in-app dropdown that sizes itself to whatever room is actually free.
- A batch of smaller fixes: CSRF errors on file/URL import dialogs, email links rendering as http:// behind a reverse proxy, single-user-mode data getting stranded on upgrade, pantry items disappearing when sorted A-Z with an orphaned category, and more in the full changelog.
Community contributions this release: @clifmo (email-link proxy fix), @xiaojwus (pantry sort bug report).
Security
fast-uri, browserslist, @xmldom/xmldom, and qs bumped, closing 8 advisories (4 high, 4 moderate: host confusion / SSRF via URL normalization, unbounded memory growth, XML fragment injection, denial of service). No app behavior changes.
Links
- Repo: https://github.com/TraceApps/cooktrace
- Docs: https://traceapps.github.io/docs/
- Full release notes + signed APK: https://github.com/TraceApps/cooktrace/releases/tag/v1.2.0
- Docker image (multi-arch, amd64 + arm64, Pi 4/5 works out of the box). Published to two registries with identical tag sets:
- GHCR (primary):
ghcr.io/traceapps/cooktrace:latest - Docker Hub (mirror):
traceapps/cooktrace:latest
- GHCR (primary):
docker compose pull && docker compose up -d
AI Disclosure
Per Rule 7 / [AIP] disclosure requirements AI was used during development as a coding assistant. Level per category:
- Design (architecture, system design): Hint, I make the architectural calls; AI suggests trade-offs and edge cases I might have missed.
- Implementation (production code): Pair, roughly 50/50. AI drafts, I review, adjust, test on real hardware, and only commit what I've verified. Every commit is manually reviewed before it goes to my dev repo.
- Testing (writing tests, test plans, QA): Assisted, real-device testing is manual (I test on my own PC and mobile devices before every release). AI helps draft test plans and think through edge cases.
- Documentation (docs, comments, README, CHANGELOG): Pair, release notes and changelog entries are drafted with AI then edited for tone; comments and code docs are mostly Pair as well.
- Review (code review, PR feedback): Assisted, I'm the reviewer; AI helps with security sweeps, audit passes on complex changes, and consistency checks.
- Deployment (CI/CD config): Hint, Docker/GitHub Actions/release pipeline is largely conventional; AI-suggested improvements only.
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