After publishing my series on Machine Learning, Transformers, CodeBERT, recommendation systems, and RockPlayer, I’ve released a new series on DevFullStack.Net.
This time, the goal is to build a complete AI-powered vulnerable code detection tool and integrate it directly into the development workflow.
Throughout the series, you’ll learn how to:
Detect common vulnerabilities such as SQL Injection, Cross-Site Scripting (XSS), Command Injection, Path Traversal, and Insecure Deserialization.
Train a vulnerability classifier.
Package the detector as a .NET tool.Use Claude as a second opinion to analyze potential vulnerabilities.
Integrate everything with GitHub Actions.
Automatically comment on Pull Requests and block merges when necessary.
Build the complete NeuralGuard architecture from end to end.
If you enjoyed my previous series, I believe this one is the natural next step.
📚 Full series:
https://devfullstack.net/blog/series-neuralguard
I hope you find it useful if you’re interested in .NET, AI, software security, and software architecture.
See you there!
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