⚡ Bolt: Parallelize PR inspections in merge scheduler#59
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💡 **What:** Replaced the sequential list comprehension with a `concurrent.futures.ThreadPoolExecutor` mapping to evaluate PRs concurrently. 🎯 **Why:** Previously, evaluating `N` PRs required waiting for `N` sequential iterations, many of which invoke the GitHub CLI via synchronous `subprocess` calls. This change parallelizes the I/O-bound wait times. 📊 **Measured Improvement:** In a local benchmark mocking the inner network-bound operations to take 0.5s each, evaluating 10 PRs dropped from ~5.01 seconds to ~1.04 seconds, an 80% reduction in execution time. ✅ **Verification:** Ran self-tests and local pytest suite. No regressions found.
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✨ Finishing Touches🧪 Generate unit tests (beta)
✨ Simplify code
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OpenCode Review Overview
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OpenCode Agent approved this PR.
The PR adds a performance note to documentation and parallelizes subprocess execution in the PR scheduler. Both changes are well-contained and maintain existing functionality while improving efficiency. No security, isolation, or workflow issues detected.
- Result: APPROVE
- Reason: Changes improve performance without introducing functional regressions
- Head SHA:
4121529fbd9fd4432ad769883caa89e26f1cbccd - Workflow run: 27595582007
- Workflow attempt: 1
1 participant
⚡ Bolt: Parallelize PR inspections in merge scheduler
💡 What: Replaced the sequential list comprehension with a
concurrent.futures.ThreadPoolExecutormapping to evaluate PRs concurrently.🎯 Why: Previously, evaluating
NPRs required waiting forNsequential iterations, many of which invoke the GitHub CLI via synchronoussubprocesscalls. This change parallelizes the I/O-bound wait times.📊 Measured Improvement: In a local benchmark mocking the inner network-bound operations to take 0.5s each, evaluating 10 PRs dropped from ~5.01 seconds to ~1.04 seconds, an 80% reduction in execution time.
✅ Verification: Ran self-tests and local pytest suite. No regressions found.
PR created automatically by Jules for task 17514304879797796248 started by @seonghobae