Fix Snyk vulnerabilities and open PRs automatically
Location: Bangalore, available for all timezonesRemote: YesWilling to relocate: Prefer remote, available for all timezonesTechnologies: TypeScript, JavaScript, Python, React, Next.js, React Native, Node.js, NestJS, PostgreSQL, Firestore, Redis, GCP, AWS, Docker, CI/CD, Jest, Cypress. Task: The engineer implemented an automated workflow using Claude Code and Cursor to handle Snyk vulnerability tickets. The system reads tickets, identifies dependency fixes, updates lockfiles, opens Pull Requests, and monitors CI status. Human involvement is limited to the final manual merging of the PRs, ensuring oversight before code integration.; tools: Claude Code, Cursor. Human role: The original post does not say how a person stayed involved.; limitations: The source does not specify prerequisites such as Snyk API access, repository permissions, or CI/CD pipeline configurations. It is unclear how the system handles complex dependency conflicts or non-standard vulnerabilities. The reliability of the automation depends on the accuracy of the LLM's fix identification, which may require manual intervention for edge cases..
Tools
Published on Agent Work Atlas:
Overview
Location: Bangalore, available for all timezonesRemote: YesWilling to relocate: Prefer remote, available for all timezonesTechnologies: TypeScript, JavaScript, Python, React, Next.js, React Native, Node.js, NestJS, PostgreSQL, Firestore, Redis, GCP, AWS, Docker, CI/CD, Jest, Cypress.
Workflow
The engineer implemented an automated workflow using Claude Code and Cursor to handle Snyk vulnerability tickets. The system reads tickets, identifies dependency fixes, updates lockfiles, opens Pull Requests, and monitors CI status. Human involvement is limited to the final manual merging of the PRs, ensuring oversight before code integration.
Reported result
The author reported reducing weekly remediation effort from 6–7 hours to approximately 1–1.5 hours. This outcome is attributed to the automation of ticket reading, fix identification, and PR creation. The source does not provide data on error rates, false positives, or the total volume of vulnerabilities processed.
Human role
The original post does not say how a person stayed involved.
Limitations
The source does not specify prerequisites such as Snyk API access, repository permissions, or CI/CD pipeline configurations. It is unclear how the system handles complex dependency conflicts or non-standard vulnerabilities. The reliability of the automation depends on the accuracy of the LLM's fix identification, which may require manual intervention for edge cases.
Try it
Act as a DevOps engineer tasked with automating Snyk vulnerability remediation. My project uses [replaceable: TypeScript/Node.js] and is hosted on [replaceable: GitHub]. I have Snyk integration enabled. Please design a workflow using [replaceable: Claude Code or Cursor] that: 1) Fetches open Snyk vulnerability tickets via API. 2) Analyzes the affected dependencies and identifies safe upgrade paths. 3) Updates the lockfile (e.g., package-lock.json) and creates a new branch. 4) Opens a Pull Request with a summary of changes. 5) Monitors the CI pipeline for test failures. Constraints: Do not merge any PRs automatically. All merges must be manual. Steps: 1. First, perform a dry run on a single, low-severity vulnerability ticket. Show me the proposed changes and the PR content. 2. Wait for my confirmation before proceeding to batch processing. 3. If the CI fails, stop and report the error logs. Output: Provide the script or configuration files needed for this workflow. Explain how to measure success (e.g., time saved per ticket). If critical inputs like API keys or repo structure are missing, ask for them before starting.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.