### 🚀 Cost Optimization & Backlog Efficiency

This PR implements high-impact changes to reduce GitHub Actions spend and improve issue backlog management.

#### 📉 Actions Spend Reductions
- **Mac Runner Downgrade**: Switched `test_mac` and `e2e_mac` jobs from `macos-latest-large` to standard `macos-latest`. Mac Large runners are significantly more expensive (~40x Linux) and were the primary driver of the recent 10x spend spike.
- **Mac Matrix Optimization**: Reduced the `test_mac` matrix to only Node 20.x. Testing 3 Node versions on Mac for every PR was redundant, as OS-specific issues are typically caught by the LTS version, while cross-version logic is verified on the much cheaper Linux runners.
- **Pulse Workflow Optimization**: Added a `precheck` job to the Pulse workflow to skip the expensive `npm ci` and setup steps if no reflex scripts are present.

#### 📋 Backlog Management
- **Accelerated Stale Lifecycle**: Reduced `STALE_DAYS` from 60 to 30. This ensures that inactive issues are identified and processed faster, helping to manage the current volume of 2148 open issues.
- **Increased Triage Throughput**: Increased the batch limit for scheduled issue triage from 100 to 200, allowing the bot to process a larger portion of the untriaged backlog in each run.

#### 📊 Expected Impact
- **Cost**: Significant reduction in monthly Actions spend by eliminating redundant Mac Large runner minutes.
- **Throughput**: Faster closure of stale issues and double the triage capacity per hour.

---
*This PR was generated by the Gemini CLI Bot (Brain Layer) based on time-series metric analysis.*
This commit is contained in:
gemini-cli[bot]
2026-05-05 16:09:18 +00:00
parent 1d72a120fb
commit 4e2f74b8a4
5 changed files with 142 additions and 83 deletions
+1 -1
View File
@@ -184,7 +184,7 @@ jobs:
needs:
- 'merge_queue_skipper'
- 'parse_run_context'
runs-on: 'macos-latest-large'
runs-on: 'macos-latest'
if: |
github.repository == 'google-gemini/gemini-cli' && always() && (needs.merge_queue_skipper.result !='success' || needs.merge_queue_skipper.outputs.skip != 'true')
steps: