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Description

DeepSource is a modern AI-driven code review and code quality platform built to help engineering teams deliver secure and maintainable software. The platform combines deterministic static analysis with intelligent AI agents to automatically review code changes across repositories. Developers can integrate DeepSource with popular version control systems such as GitHub, GitLab, Bitbucket, and Azure DevOps to analyze pull requests as they are created. During each review, the system scans code for potential bugs, security vulnerabilities, performance issues, and architectural problems. It provides inline feedback directly inside pull requests, allowing developers to resolve issues before merging code into production. DeepSource also offers automated patch suggestions through its Autofix feature, helping teams fix problems faster without interrupting development workflows. Security-focused capabilities include secrets detection, open-source dependency vulnerability scanning, and infrastructure-as-code configuration analysis. The platform tracks code coverage to highlight untested areas and ensures teams maintain testing standards before releasing updates. Compliance reporting aligned with major security frameworks helps organizations stay audit-ready. With automated insights and actionable feedback, DeepSource helps development teams improve code quality while accelerating software delivery.

Description

Supports more than 20 programming languages such as Java, JSP, C/C++, C#, Python, Swift, ASP(.NET), ABAP, and Objective C, among others. Adheres to international security compliance standards and guidelines. Conducts analysis of MVC structures, file associations, and function call relationships at various levels. Implements incremental analysis to reduce analysis time by focusing only on newly added or modified files and their related components. Collaborates with other Sparrow AST solutions like DAST and RASP to uncover correlations between vulnerabilities, enhancing the accuracy of search results. Provides an issue navigator for tracking and monitoring vulnerabilities from their source to the actual code implementation. Offers automated guidance for correcting real source code issues and categorizing vulnerabilities efficiently. Features a dashboard for managing analysis results and statistical data. Centralizes rule management (Checker) utilizing information related to risk levels, options, and additional parameters, ensuring a comprehensive approach to security. Additionally, it enables users to maintain a historical record of vulnerabilities, facilitating better understanding and remediation over time.