For Dev.to Writers
Your tutorial becomes someone else's production code.
We scan, then we forget. You keep what you want.
You publish a post to teach an idea, and thousands of readers paste your snippet straight into their projects. The code you ship in an article carries more weight than code in your own repo, because it propagates. AllScanTool scans the snippets you publish for SQL injection, XSS, hardcoded credentials, and insecure functions, right in your browser, before they reach your readers. No logs. No storage. No retention. Your code stays private.
What you publish, your readers ship
A tutorial snippet is written to make a point clearly, but readers copy it verbatim into real apps. These are the risks AllScanTool catches before your post goes live.
Snippets simplified for teaching, copied for production
You strip validation and error handling to keep the example readable, and readers paste the stripped-down version straight into live code.
AI-tool posts showcasing generated code you did not audit
Writing about Copilot or ChatGPT means publishing their output, and a hidden flaw in the generated sample spreads to every reader who trusts the post.
Open source projects shared without a security pass
You announce a repo and link it in the article, but the code went public before anyone scanned it for injection or credential leaks.
Demo keys and tokens left inline in code blocks
A sample request needs a key to look real, and the placeholder credential ships in the published code block for everyone to copy.
Old posts that still rank and still get copied
An article from years ago keeps drawing traffic, and its outdated, now-insecure pattern keeps landing in new projects today.
Your byline is on every line you publish
When a snippet from your post causes a breach, it is your name attached to it — with no editor or review team behind you.
Ask AST
Questions writers bring to the Delivery-Layer Engine before they hit publish on Dev.to.
QI am writing a tutorial with a database example — does my query snippet have any SQL injection risk before I publish it?
Paste it into the scanner. AST flags queries built from concatenated input and shows the parameterized version, so the code you teach is safe for every reader who copies it.
QMy post showcases code an AI tool generated — should I check it for vulnerabilities before I present it as a working example?
Scan the generated snippet first. AST surfaces injection, XSS, and insecure functions, so you never publish AI output that carries a hidden flaw under your byline.
QI am about to open source the project from my article — how do I make sure there are no hardcoded credentials in it?
Run the files through AST and it detects hardcoded keys and stray secrets, so a demo token never ships in the public repo you are about to announce.
QAn old post of mine still gets a lot of traffic — does its code use any patterns that are now considered insecure?
Scan the snippet and AST flags deprecated and insecure functions, so you can update a high-traffic article before it teaches one more reader the wrong way.