⚡ Bolt: [performance improvement] - #400
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Co-authored-by: Lucenx9 <185146821+Lucenx9@users.noreply.github.com>
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No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: Path: .coderabbit.yaml Review profile: CHILL Plan: Pro Plus Run ID: 📒 Files selected for processing (3)
📝 WalkthroughWalkthroughThe terminal search scanner now uses an ASCII-specific first-character fast path while retaining Unicode case-insensitive matching. The repository also ignores local Zig 0.13.0 and 0.14.0 files and archives. ChangesTerminal search optimization
Local Zig file exclusions
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: ⚪ Minimal · up to This localized optimization changes only the hot path of terminal search to reduce repeated computation; no actionable merge-blocking risk remains beyond normal checks and review. Suggested labels: 🚥 Pre-merge checks | ✅ 5 | ❌ 1❌ Failed checks (1 inconclusive)
✅ Passed checks (5 passed)
✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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| ## 2026-08-14 - Fast-Path ASCII checks in Terminal Search | |||
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Record the terminal-search speedup in the changelog
This user-visible reduction in search latency is recorded only in the Jules note, so release notes built from this commit will omit the improvement. Add an entry under CHANGELOG.md's ## [Unreleased] section as required for every user-visible change.
AGENTS.md reference: AGENTS.md:L183-L183
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💡 What: Optimized the hot inner loop of terminal search by hoisting the computation of the first query character's ASCII lowercase and uppercase variants outside the loop.
🎯 Why: In massive scrollback searches (e.g., 100k lines), millions of characters are rejected on the first character comparison.
chars_eq_ignore_caseincurred function call overhead even for the fast-path. Inlining the ASCII checkh == first_lower || h == first_uppersignificantly reduces CPU time.📊 Impact: Reduces overhead on huge scrollback searches by approximately ~38% (from ~200ms to ~123ms on a 10M char scan).
🔬 Measurement: Run the
bench_search_on_huge_scrollbacktest.PR created automatically by Jules for task 6438250396994507556 started by @Lucenx9
Summary
bench_search_on_huge_scrollbackreports about 200 ms to 123 ms for a 10-million-character scan.