Real-time security guardrails for your AI code assistant
Stop insecure AI code before it lands. Snyk Studio plugs into your AI code assistants (and VS Code, Cursor, and others) to scan code suggestions in real time, flag risky patterns, and guide safer fixes by these coding agents. Snyk Studio also injects Snyk’s security expert context so your assistant can plan and apply fixes to existing vulnerabilities without ever leaving the editor and terminal.
AI code assistants are incredible at speed but they’re not hired to be your AppSec engineer. Over the past year we kept seeing the same pattern: great-looking code suggestions that quietly introduced risky dependencies, weak crypto, or unsafe input handling. Teams told us they either slowed down to review every snippet, or accepted the risk and queued it into the backlog. Neither felt great. Some developers were left completely ignorant to the security issues they were introducing with their AI tools. Yikes!
What we’re solving:
Catching issues before they even get suggested to the developer, scanning AI code suggestions in real time, inside the prompt.
Giving AI the right security context so it can plan and apply effective and safe security fixes that match your org’s standards.
Killing context switches - no more bouncing between the IDE, docs, scanners, and tickets just to understand a vulnerability.
How we got here:
We started by watching developers work with assistants like Cursor and Windsurf. The “aha” moment came quick: the "left" in "shift left" has shifted. Security needs to participate at the moment of code suggestion, not after the commit. Not even when the first lines of code are saved in the IDE. We prototyped an IDE-first guardrail, built an MCP (Model Context Protocol) server and then layered in Snyk’s security insights, and added security controls and directives (aka rules and instructions) so teams can choose exactly when and how scans run. The result is Snyk Studio: a safety layer that keeps the pace of AI while reducing the risk.
What to try today:
Install the Snyk VS Code extension to automatically deploy Snyk Studio, pre-configured with directives (link also takes you to Cursor and Windsurf installs)
Generate code with your assistant, then watch Snyk Studio flag and explain risky patterns (🤓) before you accept the code changes. Heck, the agent might just run on YOLO mode and fix the code itself based on Snyk's suggestions and context.
Point at an existing vulnerability and ask your assistant to fix it; Snyk Studio provides security context so the plan and patch are correct.
We’d love your feedback on the onboarding flow, the default scanning behavior, and the explanations for flagged patterns.
Thanks for checking out Snyk Studio, excited to hear how it fits your AI coding workflow!
About Snyk Studio on Product Hunt
“Real-time security guardrails for your AI code assistant”
Snyk Studio launched on Product Hunt on November 5th, 2025 and earned 207 upvotes and 27 comments, placing #6 on the daily leaderboard. Stop insecure AI code before it lands. Snyk Studio plugs into your AI code assistants (and VS Code, Cursor, and others) to scan code suggestions in real time, flag risky patterns, and guide safer fixes by these coding agents. Snyk Studio also injects Snyk’s security expert context so your assistant can plan and apply fixes to existing vulnerabilities without ever leaving the editor and terminal.
On the analytics side, Snyk Studio competes within Developer Tools, Artificial Intelligence and Security — topics that collectively have 984.1k followers on Product Hunt. The dashboard above tracks how Snyk Studio performed against the three products that launched closest to it on the same day.
Who hunted Snyk Studio?
Snyk Studio was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
fmerian
Why we built Snyk Studio:
AI code assistants are incredible at speed but they’re not hired to be your AppSec engineer. Over the past year we kept seeing the same pattern: great-looking code suggestions that quietly introduced risky dependencies, weak crypto, or unsafe input handling. Teams told us they either slowed down to review every snippet, or accepted the risk and queued it into the backlog. Neither felt great. Some developers were left completely ignorant to the security issues they were introducing with their AI tools. Yikes!
What we’re solving:
Catching issues before they even get suggested to the developer, scanning AI code suggestions in real time, inside the prompt.
Giving AI the right security context so it can plan and apply effective and safe security fixes that match your org’s standards.
Killing context switches - no more bouncing between the IDE, docs, scanners, and tickets just to understand a vulnerability.
How we got here:
We started by watching developers work with assistants like Cursor and Windsurf. The “aha” moment came quick: the "left" in "shift left" has shifted. Security needs to participate at the moment of code suggestion, not after the commit. Not even when the first lines of code are saved in the IDE. We prototyped an IDE-first guardrail, built an MCP (Model Context Protocol) server and then layered in Snyk’s security insights, and added security controls and directives (aka rules and instructions) so teams can choose exactly when and how scans run. The result is Snyk Studio: a safety layer that keeps the pace of AI while reducing the risk.
What to try today:
Install the Snyk VS Code extension to automatically deploy Snyk Studio, pre-configured with directives (link also takes you to Cursor and Windsurf installs)
Generate code with your assistant, then watch Snyk Studio flag and explain risky patterns (🤓) before you accept the code changes. Heck, the agent might just run on YOLO mode and fix the code itself based on Snyk's suggestions and context.
Point at an existing vulnerability and ask your assistant to fix it; Snyk Studio provides security context so the plan and patch are correct.
We’d love your feedback on the onboarding flow, the default scanning behavior, and the explanations for flagged patterns.
Thanks for checking out Snyk Studio, excited to hear how it fits your AI coding workflow!