Embold
AI-orchestrated static analysis for multidimensional code quality and technical debt reduction.
Automate code reviews and security analysis with zero-noise static analysis.
DeepSource is a next-generation static analysis platform designed to automate code reviews and secure the software development lifecycle. Unlike traditional linters, DeepSource focuses on a 'zero false-positive' philosophy, utilizing high-fidelity analyzers that detect over 2,000 types of issues across 10+ programming languages. By 2026, it has solidified its market position by integrating advanced LLM-powered remediation via 'Autofix,' which not only identifies bug risks and security vulnerabilities but actively generates pull requests to resolve them. Its architecture is built for speed, often completing scans in seconds, and integrates natively with GitHub, GitLab, and Bitbucket. The platform includes specialized analyzers for Infrastructure as Code (IaC), secret scanning, and code coverage, providing a centralized dashboard for engineering leaders to monitor technical debt and compliance. DeepSource's unique 'Transformers' allow teams to run code formatters and refactorers automatically on every commit, ensuring that the codebase remains clean and consistent without manual intervention. It serves as a critical layer in the modern DevOps stack, bridging the gap between raw code production and production-ready security standards.
Uses machine learning and AST-based transformations to generate corrective code for detected issues.
AI-orchestrated static analysis for multidimensional code quality and technical debt reduction.
Automated Code Review and Intelligent Refactoring for .NET Ecosystems.
Enterprise-grade static analysis for .NET code quality, performance, and security compliance.
Beyond Linting: Advanced Static Analysis for JavaScript and TypeScript.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
High-entropy string detection and pattern matching for 75+ types of credentials and API keys.
Serverless execution of popular code formatters directly on the DeepSource cloud.
DSL for defining team-specific rules and anti-patterns that standard linters miss.
Scans Terraform, Docker, and Kubernetes files for misconfigurations and security risks.
Aggregates coverage reports from multiple test suites into a single visual interface.
Contextual explanations of complex security vulnerabilities using fine-tuned developer-centric LLMs.
Manual security reviews are too slow for daily deployments, leading to secret leaks.
Registry Updated:2/7/2026
A large Python codebase is filled with Python 2.7 anti-patterns and technical debt.
DevOps teams accidentally exposing S3 buckets or using insecure Docker base images.