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+name: Identify potential duplicates among new bug/crash reports
+
+on:
+ issues:
+ types: [opened]
+ workflow_dispatch:
+ inputs:
+ issue_number:
+ description: "Issue number to analyze (for testing)"
+ required: true
+ type: number
+
+concurrency:
+ group: potential-duplicate-check-${{ github.event.issue.number || inputs.issue_number }}
+ # let's not overspend tokens on multiple parallel checks of the same issue
+ cancel-in-progress: true
+
+jobs:
+ identify-duplicates:
+ if: github.repository == 'zed-industries/zed'
+ runs-on: ubuntu-latest
+ # let's not overspend tokens on checks that went too deep into the rabbit hole
+ timeout-minutes: 5
+ permissions:
+ contents: read
+ issues: read
+
+ steps:
+ - name: Get github app token
+ id: get-app-token
+ uses: actions/create-github-app-token@bef1eaf1c0ac2b148ee2a0a74c65fbe6db0631f1 # v2.1.4
+ with:
+ app-id: ${{ secrets.ZED_COMMUNITY_BOT_APP_ID }}
+ private-key: ${{ secrets.ZED_COMMUNITY_BOT_PRIVATE_KEY }}
+ owner: zed-industries
+
+ - name: Check issue type
+ id: check-type
+ uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1
+ with:
+ github-token: ${{ steps.get-app-token.outputs.token }}
+ script: |
+ const issueNumber = context.payload.issue?.number || ${{ inputs.issue_number || 0 }};
+ if (!issueNumber) {
+ core.setFailed('No issue number provided');
+ return;
+ }
+
+ const { data: issue } = await github.rest.issues.get({
+ owner: context.repo.owner,
+ repo: context.repo.repo,
+ issue_number: issueNumber
+ });
+
+ const typeName = issue.type?.name;
+ const isTargetType = typeName === 'Bug' || typeName === 'Crash';
+
+ console.log(`Issue #${issueNumber}: "${issue.title}"`);
+ console.log(`Issue type: ${typeName || '(none)'}`);
+ console.log(`Is target type (Bug/Crash): ${isTargetType}`);
+
+ core.setOutput('issue_number', issueNumber);
+ core.setOutput('issue_author', issue.user?.login || '');
+ core.setOutput('is_target_type', isTargetType);
+
+ if (!isTargetType) {
+ console.log('::notice::Skipping - issue type is not Bug or Crash');
+ }
+
+ - name: Check if author is staff
+ if: steps.check-type.outputs.is_target_type == 'true'
+ id: check-staff
+ uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1
+ with:
+ github-token: ${{ steps.get-app-token.outputs.token }}
+ script: |
+ const author = process.env.ISSUE_AUTHOR || '';
+ if (!author) {
+ console.log('Could not determine issue author, proceeding with check');
+ core.setOutput('is_staff', 'false');
+ return;
+ }
+
+ try {
+ const response = await github.rest.teams.getMembershipForUserInOrg({
+ org: 'zed-industries',
+ team_slug: 'staff',
+ username: author
+ });
+ const isStaff = response.data.state === 'active';
+ core.setOutput('is_staff', String(isStaff));
+ if (isStaff) {
+ console.log(`::notice::Skipping - author @${author} is a staff member`);
+ }
+ } catch (error) {
+ if (error.status === 404) {
+ core.setOutput('is_staff', 'false');
+ } else {
+ throw error;
+ }
+ }
+ env:
+ ISSUE_AUTHOR: ${{ steps.check-type.outputs.issue_author }}
+
+ - name: Checkout repository
+ if: |
+ steps.check-type.outputs.is_target_type == 'true' &&
+ steps.check-staff.outputs.is_staff == 'false'
+ uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
+ with:
+ fetch-depth: 1
+
+ - name: Analyze for potential duplicates (DRY RUN)
+ if: |
+ steps.check-type.outputs.is_target_type == 'true' &&
+ steps.check-staff.outputs.is_staff == 'false'
+ id: analyze
+ uses: anthropics/claude-code-action@v1
+ with:
+ anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY_ISSUE_DEDUP }}
+
+ prompt: |
+ You are analyzing issue #${{ steps.check-type.outputs.issue_number }} in the zed-industries/zed repository to determine if it might be a duplicate of an existing issue.
+
+ THIS IS A DRY RUN - do not post any comments or modify anything. Only analyze and return your findings.
+
+ ## Instructions
+
+ 1. Use mcp__github__get_issue to fetch the full details of issue #${{ steps.check-type.outputs.issue_number }}
+
+ 2. Extract key identifying information:
+ - Error messages (exact text)
+ - Stack traces or panic messages
+ - Affected features/components
+ - Steps to reproduce
+ - Platform/OS information
+
+ 3. Search for potential duplicates using mcp__github__search_issues with:
+ - Key error messages or panic text (most reliable signal)
+ - Specific feature names or components mentioned
+ - Limit search to repo:zed-industries/zed and recent issues (last 90 days)
+ - Search both open AND closed issues (duplicates may have been closed)
+
+ 4. For each potential match, evaluate similarity:
+ - SAME error message or stack trace = high confidence
+ - SAME steps to reproduce with same outcome = high confidence
+ - Similar description but different error/context = low confidence
+ - Vaguely related topic = NOT a duplicate
+
+ ## Critical Guidelines
+
+ - Be VERY conservative. When in doubt, conclude it is NOT a duplicate.
+ - Only flag as potential duplicate if you have HIGH confidence (same error, same repro steps, same root cause).
+ - "Similar topic" or "related feature" is NOT sufficient - the issues must describe the SAME bug.
+ - False positives are worse than false negatives. Users finding their legitimate issue incorrectly flagged as duplicate is a poor experience.
+
+ ## Output
+
+ Return your analysis as JSON with this exact structure. Do not include any other text outside the JSON.
+
+ claude_args: |
+ --max-turns 3
+ --allowedTools mcp__github__get_issue,mcp__github__search_issues,mcp__github__list_issues
+ --json-schema {"type":"object","properties":{"issue_number":{"type":"integer"},"issue_title":{"type":"string"},"is_potential_duplicate":{"type":"boolean"},"confidence":{"type":"string","enum":["high","medium","low","none"]},"potential_duplicates":{"type":"array","items":{"type":"object","properties":{"number":{"type":"integer"},"title":{"type":"string"},"similarity_reason":{"type":"string"}},"required":["number","title","similarity_reason"]}},"analysis_summary":{"type":"string"},"recommendation":{"type":"string","enum":["flag_as_duplicate","needs_human_review","not_a_duplicate"]}},"required":["issue_number","is_potential_duplicate","confidence","potential_duplicates","analysis_summary","recommendation"]}
+
+ - name: Log analysis results
+ if: |
+ steps.check-type.outputs.is_target_type == 'true' &&
+ steps.check-staff.outputs.is_staff == 'false' &&
+ !cancelled()
+ uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1
+ with:
+ script: |
+ const output = process.env.ANALYSIS_OUTPUT || '';
+
+ console.log('='.repeat(60));
+ console.log('DRY RUN ANALYSIS RESULTS');
+ console.log('='.repeat(60));
+
+ if (!output || output === '') {
+ console.log('No structured output received from analysis');
+ core.summary.addHeading('⚠️ Analysis did not produce output', 2);
+ core.summary.addRaw('The duplicate detection analysis did not return structured output. Check the workflow logs for details.');
+ await core.summary.write();
+ return;
+ }
+
+ try {
+ const analysis = JSON.parse(output);
+
+ console.log(`\nIssue: #${analysis.issue_number} - ${analysis.issue_title || 'N/A'}`);
+ console.log(`Is Potential Duplicate: ${analysis.is_potential_duplicate}`);
+ console.log(`Confidence: ${analysis.confidence}`);
+ console.log(`Recommendation: ${analysis.recommendation}`);
+ console.log(`\nAnalysis Summary:\n${analysis.analysis_summary}`);
+
+ if (analysis.potential_duplicates.length > 0) {
+ console.log(`\nPotential Duplicates Found: ${analysis.potential_duplicates.length}`);
+ for (const dup of analysis.potential_duplicates) {
+ console.log(` - #${dup.number}: ${dup.title}`);
+ console.log(` Reason: ${dup.similarity_reason}`);
+ }
+ } else {
+ console.log('\nNo potential duplicates identified.');
+ }
+
+ console.log('\n' + '='.repeat(60));
+
+ // set summary for workflow run
+ const summaryIcon = analysis.is_potential_duplicate ? '⚠️' : '✅';
+ const summaryText = analysis.is_potential_duplicate
+ ? `Potential duplicate detected (${analysis.confidence} confidence)`
+ : 'No duplicate detected';
+
+ core.summary.addHeading(`${summaryIcon} Issue #${analysis.issue_number}: ${summaryText}`, 2);
+ core.summary.addRaw(`\n**Recommendation:** ${analysis.recommendation}\n\n`);
+ core.summary.addRaw(`**Summary:** ${analysis.analysis_summary}\n\n`);
+
+ if (analysis.potential_duplicates.length > 0) {
+ core.summary.addHeading('Potential Duplicates', 3);
+ const rows = analysis.potential_duplicates.map(d => [
+ `#${d.number}`,
+ d.title,
+ d.similarity_reason
+ ]);
+ core.summary.addTable([
+ [{data: 'Issue', header: true}, {data: 'Title', header: true}, {data: 'Similarity Reason', header: true}],
+ ...rows
+ ]);
+ }
+
+ await core.summary.write();
+
+ } catch (e) {
+ console.log('Failed to parse analysis output:', e.message);
+ console.log('Raw output:', output);
+ core.summary.addHeading('⚠️ Failed to parse analysis output', 2);
+ core.summary.addRaw(`Error: ${e.message}\n\nRaw output:\n\`\`\`\n${output}\n\`\`\``);
+ await core.summary.write();
+ }
+ env:
+ ANALYSIS_OUTPUT: ${{ steps.analyze.outputs.structured_output }}