Decision guide · Reviewed Sep 8, 2026 · AI Coding & Development, AI Code Review & Testing

Augment Code
79.2
Snyk
80.8Choose Augment Code when you need engineering teams wanting to automate end-to-end SDLC workflows like ticket-to-PR generation, security vulnerability remediation, and automated pull-request reviews. Choose Snyk when you need engineering teams needing automated vulnerability detection and remediation across code, open source, containers, and AI agent workflows..
At a glance
The practical differences
| Decision factor | Augment Code | Snyk |
|---|---|---|
| Best for | engineering teams wanting to automate end-to-end SDLC workflows like ticket-to-PR generation, security vulnerability remediation, and automated pull-request reviews | engineering teams needing automated vulnerability detection and remediation across code, open source, containers, and AI agent workflows. |
| Not ideal for | solo developers looking for an inexpensive, local-only code completion tool without organizational workflow orchestration | teams seeking solely traditional network perimeter defense or those with no automated code repository pipelines. |
| Pricing | At the review date (2026-09-08), standard pricing is billed as a flat team rate ($20 or $100 per month for up to 50 seats) with pooled usage allowances, plus a 40% service fee on underlying LLM API usage. Verify the latest rates on the official pricing page. | At the review date on 2026-09-08, Snyk offers a Free tier with capped monthly tests, a Team tier starting at $25 per contributing developer per month, an Ignite tier starting at $1,260 per developer annually for under 50 developers, and custom Enterprise quotes. Verify current pricing and limits directly on Snyk's official plans page. |
| Key difference | Unlike developer-centric auto-completion plugins, Augment Code coordinates full lifecycle agent fleets across entire engineering departments, offering flat 50-seat base pricing with shared team usage pools and multi-agent loops that feed directly into one another. | Snyk combines developer-first remediation directly inside IDEs and Git workflows with deep security intelligence from a dedicated research team, offering automated fix advice and dedicated governance for agentic AI development. |
| Overall rank | #43 | #25 |
| Review verdict | Augment Code is well suited for mid-sized and enterprise engineering teams seeking to offload repetitive SDLC stages like CVE patching, ticket drafting, and first-pass PR reviews to agents with human checkpoints. It is less suited for individual hobbyist developers who only need a lightweight local autocomplete plugin inside an editor. | Snyk is well-suited for engineering organizations seeking to shift security left into developer workflows and monitor modern AI-generated code or dependencies. It may be excessive for solo developers who only need simple linting or teams looking purely for traditional runtime network security. |
Snyk score factors
Augment Code strengths
- Flat team pricing covering up to 50 seats on Standard and Business tiers without per-seat charges.
- Comprehensive SDLC loop orchestration spanning ticket intake, coding, testing, and PR review.
- Explicit enterprise privacy guarantees prohibiting AI training on proprietary code on all paid plans.
- Context Engine specifically built to handle large codebases and complex monorepos.
- Supports model switching and routing across Claude and Gemini architectures.
Snyk strengths
- Integrates into IDEs, CLIs, and source code management tools for rapid developer adoption
- Covers multiple security disciplines including SAST, SCA, container scanning, and IaC
- Provides curated remediation guidance and actionable automated fix PRs
- Features dedicated governance capabilities for AI agents and agentic development workflows
Frequently asked
Augment Code vs Snyk
Should I choose Augment Code or Snyk?+
Choose Augment Code when you need engineering teams wanting to automate end-to-end SDLC workflows like ticket-to-PR generation, security vulnerability remediation, and automated pull-request reviews. Choose Snyk when you need engineering teams needing automated vulnerability detection and remediation across code, open source, containers, and AI agent workflows.. ToolsRank scores Augment Code 79.2 and Snyk 80.8; the gap reflects editorial quality, utility, trust, and freshness, not popularity or payment.
Is Augment Code cheaper than Snyk?+
Augment Code: At the review date (2026-09-08), standard pricing is billed as a flat team rate ($20 or $100 per month for up to 50 seats) with pooled usage allowances, plus a 40% service fee on underlying LLM API usage. Verify the latest rates on the official pricing page. Snyk: At the review date on 2026-09-08, Snyk offers a Free tier with capped monthly tests, a Team tier starting at $25 per contributing developer per month, an Ignite tier starting at $1,260 per developer annually for under 50 developers, and custom Enterprise quotes. Verify current pricing and limits directly on Snyk's official plans page. Compare the plan you would actually use and verify current prices on each vendor's pricing page before purchasing.
Which is better for ai coding & development?+
Snyk currently scores higher for ai coding & development work. Augment Code remains the stronger pick when your priority is engineering teams wanting to automate end-to-end SDLC workflows like ticket-to-PR generation, security vulnerability remediation, and automated pull-request reviews. Avoid Snyk if you are teams seeking solely traditional network perimeter defense or those with no automated code repository pipelines..
Can I use Augment Code and Snyk together?+
Yes. Augment Code stands out for unlike developer-centric auto-completion plugins, Augment Code coordinates full lifecycle agent fleets across entire engineering departments, offering flat 50-seat base pricing with shared team usage pools and multi-agent loops that feed directly into one another. Snyk stands out for snyk combines developer-first remediation directly inside IDEs and Git workflows with deep security intelligence from a dedicated research team, offering automated fix advice and dedicated governance for agentic AI development. Pairing them makes sense when one workflow needs both strengths; otherwise pick the tool that matches your primary job.