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

Description and use

Automated triage of 487 dependency alerts using a free MonkeyCode model, reducing manual effort to 12 critical items.

Problem

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

Outcome

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

Workflow

• 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

Evidence

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

Source

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

Source