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!
Cool! We’re actually building an AI startup in tourism — we’ll have to try your product
I absolutely love how smoothly it works with my coding assistant! It feels just like a natural part of the process!
Also it's worth mentioning you can use this even with Snyk's free tier. There are quick start guides for all the popular Agentic dev tools, the magic is in the "Secure at inception" rules at the bottom of each guide! This will ensure all that AI generated code get's vetted by Snyk before you commit.
Exciting times & glad to see the Snyk rocket ship launching once again.
How does it align with the OWASP TOP 10 for Application Security or ML?
I work in a dev team and tools like this truly help speed up delivery without cutting corners.
Congrats on the launch, looks promising! My only query is whos going to catch Synk Studio?, There are false positives/negatives, and at the end of the day a human should be involved if your dealing with credential handling, cookies, authentication, cryptography, encryption etc. --
Congrats on launch 🎉 I like that you’re not just scanning, you’re actually building a map of tool calls + agent reasoning and intercepting insecure patterns before they land. This is the layer AI coding desperately needs inside common AI IDEs. Excited to see where this goes.
the only way to keep up and secure AI generated code is with AI security - @Snyk changes the game scanning code as it's been written right in assistants like Cursor and Windsurf - massive data moat over years ensures accuracy and security - 🔥
Congrats on the launch! AI coding teams need real-time scanning for suggestions before they even get to the codebase. I love that it works in the editor and uses Snyk's existing information about vulnerabilities.
Congratulations for the launch. Tools like these really deserve early support
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.
Snyk Studio was featured in Developer Tools (512.7k followers), Artificial Intelligence (468.9k followers) and Security (2.6k followers) on Product Hunt. Together, these topics include over 167.6k products, making this a competitive space to launch in.
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.
Want to see how Snyk Studio stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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!