What does it do?

  • Code Analysis
  • Vulnerability Detection
  • Security Research
  • Software Development
See more

How is it used?

  • Code to Insights/Analytics

Details & Features

  • Made By

  • Released On


CodeQL is a semantic code analysis engine that helps developers identify and eliminate vulnerabilities in their codebases. It enables users to query code as if it were data, facilitating the discovery of complex patterns and security flaws that traditional static analysis tools might overlook.

Key features:
- Query code as data: Write queries to analyze codebases, treating them as databases
- Vulnerability detection: Create custom queries to find specific types of vulnerabilities, such as unsafe deserialization and SQL injection
- Reusable queries: Share and reuse queries across different projects to standardize vulnerability detection practices

How it works:
1. Install the CodeQL extension for Visual Studio Code or set up the CodeQL CLI
2. Obtain a CodeQL database by downloading one from an open source project on GitHub or creating one using the CLI
3. Run queries on the CodeQL database to identify vulnerabilities in the codebase

- Visual Studio Code: CodeQL extension allows for seamless query execution within the IDE
- GitHub: Tight integration enables easy access to open source projects and their CodeQL databases

Use of AI:
CodeQL utilizes advanced semantic analysis techniques to understand and query codebases. While it does not explicitly use generative AI models, its ability to analyze code as data and identify complex patterns is similar to the capabilities provided by modern AI-driven tools.

AI foundation model:
The description does not provide enough information to determine if CodeQL uses a specific AI foundation model.

How to access:
CodeQL is available as a Visual Studio Code extension and a CLI tool. It is free for use in open source projects and academic research, but it is not itself open source.

  • Supported ecosystems
    GitHub, GitHub, Visual Studio Code, Microsoft
  • What does it do?
    Code Analysis, Vulnerability Detection, Security Research, Software Development, Open Source Security
  • Who is it good for?


  • Neptyne integrates Python capabilities into Google Sheets, enabling data analysis, automation, and machine learning tasks.
  • Cody is an AI coding assistant that enhances developer productivity by providing advanced code search, understanding, and generation capabilities.
  • CrewAI simplifies the creation and deployment of multi-agent automations for developers and enterprises.
  • WarpBuild is a high-performance CI/CD solution that optimizes GitHub Actions runners, offering faster builds at half the cost.
  • Chatter is a comprehensive platform for building, evaluating, and versioning large language model deployments.
  • Codacy automates code reviews, security scans, and test coverage analysis to ensure clean, secure code.
  • Boundary AI simplifies building production-ready applications with Large Language Models using BAML.
  • Intel DevCloud is a platform that provides complimentary access to a variety of Intel architectures, offering developers and professionals the opportunity to gain practical experience with Intel software and carry out a range of workloads, including edge computing, AI, HPC, and rendering, with preinstalled optimized frameworks, tools, and libraries, curated learning experiences, JupyterLab for solution building and testing, a deep learning workbench, and a telemetry dashboard for monitoring and analysis.
  • Snyk helps developers find and fix security vulnerabilities in code, dependencies, containers, and IaC.
  • Warp is a cloud-native terminal solution that integrates AI capabilities to enhance the command-line experience for developers.