Includes prior-session patches (carry forward so the app compiles): - crates/gpui/build.rs: cross-compile manifest fix - crates/gpui/src/platform.rs: PlatformWindow::activate_with_token trait method - crates/gpui/src/window.rs: Window::activate_with_token public API - crates/gpui_linux/src/linux/wayland/window.rs: WaylandWindow::activate_with_token + activate() keyboard-serial fix Plus the focus-serial fix: - serial.rs: SerialKind::KeyboardEnter - client.rs: store wl_keyboard.enter serial; latest_serial_of() Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2.6 KiB
Crash Issue Linking
You are linking a crash to potentially related GitHub issues so human reviewers can quickly validate whether a fix may resolve multiple reports.
Inputs
Before starting, you should have:
- Crash report (from
script/sentry-fetch <issue-id>or Sentry MCP) - ANALYSIS.md from investigation phase, including root cause and crash site
If either is missing, stop and report what is missing.
Goal
Search GitHub issues and produce a reviewer-ready shortlist grouped by confidence:
- High confidence
- Medium confidence
- Low confidence
The output is advisory only. Humans must confirm before adding closing keywords or making release claims.
Workflow
Step 1: Build Search Signals
Extract concrete signals from the crash + analysis:
- Crash site function, file, and crate
- Error message / panic text
- Key stack frames (especially in-app)
- Reproduction trigger phrasing (user actions)
- Affected platform/version tags if available
Step 2: Search GitHub Issues
Search only issues in zed-industries/zed (prefer gh issue list / gh issue view / GraphQL if available) by:
- Panic/error text
- Function/file names
- Crate/module names + symptom keywords
- Similar reproduction patterns
Check both open and recently closed issues in zed-industries/zed.
Step 3: Score Confidence
Assign confidence based on evidence quality:
- High: direct technical overlap (same crash site or same invariant violation with matching repro language)
- Medium: partial overlap (same subsystem and symptom, but indirect stack/repro match)
- Low: thematic similarity only (same area/keywords without solid technical match)
Avoid inflated confidence. If uncertain, downgrade.
Step 4: Produce Structured Output
Write LINKED_ISSUES.md using this exact structure:
# Potentially Related GitHub Issues
## High Confidence
- [#12345](https://github.com/zed-industries/zed/issues/12345) — <title>
- Why: <1-2 sentence evidence-backed rationale>
- Evidence: <stack frame / error text / repro alignment>
## Medium Confidence
- ...
## Low Confidence
- ...
## Reviewer Checklist
- [ ] Confirm High confidence issues should be referenced in PR body
- [ ] Confirm any issue should receive closing keywords (`Fixes #...`)
- [ ] Reject false positives before merge
If no credible matches are found, keep sections present and write - None found under each.
Rules
- Do not fabricate issues or URLs.
- Do not include issues from any repository other than
zed-industries/zed. - Do not add closing keywords automatically.
- Keep rationale short and evidence-based.
- Favor precision over recall.