Triage 487 Dependency Alerts With a Free Model and a Free Server

说明与用途

使用免费 MonkeyCode 模型对 487 条依赖警报进行自动化分级，将人工工作量缩减至 12 条关键警报。

问题

A team faces 487 dependency alerts across 31 services, overwhelming manual triage and risking missed compliance deadlines.

结果

Reduced manual triage from 487 alerts to 12 critical items, cutting review time by ~90% and enabling timely compliance actions.

工作流

• 1. Run dependency scanner to produce JSON alerts
• 2. Normalize alerts and create prompt per alert
• 3. Send prompts to free MonkeyCode model via API
• 4. Receive verdicts (review|accept|escalate) and reasons
• 5. Write results to CSV
• 6. Human imports CSV and reviews top-ranked alerts
• 7. Escalate any model errors or uncertain cases

证据

The pipeline has five stages and one deliberate gap: scanner JSON -> normalize -> free model (triage) -> ranked CSV -> human review ^ free server (MonkeyCode)

来源

Three rules keep the pipeline honest. First, never send source code, only package names, versions, and CVE IDs.

来源