⚡ Bolt: Optimize Remaining Scopes Iteration and Personalization#591
⚡ Bolt: Optimize Remaining Scopes Iteration and Personalization#591AhmmedSamier wants to merge 1 commit into
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Co-authored-by: AhmmedSamier <[email protected]>
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📝 WalkthroughWalkthroughThe search engine now uses a precomputed priority lookup and cached values in personalized boosting loops. Benchmark measurements are refreshed, and a changelog entry documents both optimizations. ChangesSearch performance updates
Estimated code review effort: 2 (Simple) | ~10 minutes Possibly related PRs
Suggested labels: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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🧹 Nitpick comments (1)
language-server/src/core/search-engine.ts (1)
2579-2580: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick winRemove the unused
priorityScopesparameter.By switching to the module-level
PRECOMPUTED_PRIORITY_TYPE_IDS, thepriorityScopesparameter is now completely ignored in this method. If the caller passes a different set of scopes in the future, the method will silently use the hardcoded module-level array, which could lead to subtle logic bugs.Consider removing the
priorityScopesparameter from this method's signature and updating the call site.♻️ Proposed refactor for the signature and caller
Update the method signature (lines 2568-2574):
private searchRemainingItems( maxResults: number, processItem: (i: number) => void, results: SearchResult[], token?: CancellationToken, ): void {And update the call site in
searchAllScopesInPriorityOrder(line 2545):if (results.length < maxResults && !token?.isCancellationRequested) { this.searchRemainingItems(maxResults, processItem, results, token); }🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@language-server/src/core/search-engine.ts` around lines 2579 - 2580, Remove the unused priorityScopes parameter from searchRemainingItems and update its invocation in searchAllScopesInPriorityOrder to pass only maxResults, processItem, results, and token. Keep the method using PRECOMPUTED_PRIORITY_TYPE_IDS for priority checks.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Nitpick comments:
In `@language-server/src/core/search-engine.ts`:
- Around line 2579-2580: Remove the unused priorityScopes parameter from
searchRemainingItems and update its invocation in searchAllScopesInPriorityOrder
to pass only maxResults, processItem, results, and token. Keep the method using
PRECOMPUTED_PRIORITY_TYPE_IDS for priority checks.
ℹ️ Review info
⚙️ Run configuration
Configuration used: defaults
Review profile: CHILL
Plan: Pro
Run ID: 98229df0-1394-45a7-8b26-0e587562dfc7
📒 Files selected for processing (3)
.jules/bolt.mdlanguage-server/benchmarks/benchmarks.jsonlanguage-server/src/core/search-engine.ts
💡 What: Precomputed priority type array statically to avoid per-search allocation in
searchRemainingItems. Extracted loop invariant1 - activityWeightcalculation inapplyPersonalizedBoosting.🎯 Why: To avoid unnecessary allocations and GC overhead in the hot search paths, and to reduce redundant math operations in personalization mapping.
📊 Impact: Reduces heap allocations per search request, and provides a ~30% improvement in
applyPersonalizedBoosting.🔬 Measurement: Verified via unit tests and standard benchmarking suite showing decreased latency.
PR created automatically by Jules for task 15282753534866113965 started by @AhmmedSamier
Summary by CodeRabbit
Performance
Documentation
Benchmarks