Automate security at scale: How Augment Code and Snyk eliminate manual security bottlenecks

Security shouldn't require manual intervention to work at machine speed.

As AI coding assistants transform development velocity, security teams face an impossible scaling challenge. Manual reviews, periodic scans, and ticket-based remediation workflows simply can't keep pace with AI agents that generate and modify code in seconds. The result? Organizations are forced to choose between shipping fast or shipping secure.

The new partnership between Augment Code and Snyk solves this by making security fully programmable and agentic. By embedding Snyk's security intelligence into Auggie CLI—Augment's terminal-based agent—teams can now orchestrate security checks, vulnerability detection, and automated remediation directly within their development pipelines, with zero manual gates.

Security as code: Auggie CLI meets Snyk

Auggie CLI enables the automation of security workflows by connecting Snyk's security intelligence to agentic code analysis. This integration is primarily facilitated via the Model Context Protocol (MCP), allowing Auggie to access Snyk's scanning tools as functional primitives.

Using the CLI's automation flags—specifically --print and --quiet—teams can programmatically invoke Auggie to execute security-related tasks within shell scripts, pre-commit hooks, or CI/CD pipelines. Commands like /security-scan become scriptable entry points for embedding security checks directly into automated development cycles.

In these automated workflows, Auggie functions as an AI-driven interface for Snyk tools, capable of:

• Analyzing source code for vulnerabilities (SAST)
• Reviewing open-source dependencies (SCA)
• Querying connected Snyk MCP servers for security telemetry

Explicit automation: Developer-led security workflows

Automation with Auggie and Snyk is explicit—users trigger specific commands or provide instructions for Auggie to evaluate code against Snyk's findings. This ensures security checks happen consistently across every commit and deployment without requiring developers to context-switch.

When Auggie identifies vulnerabilities through Snyk tools, it generates fix recommendations as actionable context during automated code generation and refactoring tasks. While the agent proposes code changes, the remediation process remains developer-led, requiring review and approval before application. This setup preserves developer control while dramatically reducing the time spent manually investigating and addressing security findings.

Snyk's intelligence, Auggie's automation

Rather than replacing existing security workflows, this integration makes Snyk's best-in-class security telemetry available as programmable context for Auggie during development tasks. Security insights aren't static reports—they become actionable inputs that inform code generation, refactoring decisions, and automated quality checks throughout your pipeline.

The result: mean time to remediate (MTTR) drops from days or weeks to minutes, security debt stops accumulating with every sprint, and developers spend less time context-switching between tools and dashboards.

From bottleneck to background process

This partnership fundamentally changes how security integrates with AI-driven development. By making Snyk's intelligence accessible through Auggie CLI and the Model Context Protocol, security becomes a built-in part of your automated execution loop, not a manual checkpoint that slows shipping.

Get started today

The Snyk and Augment Code integration is available now for joint customers. Start automating your security workflows using this quickstart guide and see how autonomous security can accelerate, not slow down, your development velocity.