# DeepSource > The AI Code Review Platform --- ## The Problem Teams are writing more code than ever with AI coding agents. But more code means more surface area for bugs, security vulnerabilities, and technical debt — and human reviewers can't keep up. Most code review tools are either pure static analysis (high precision, low recall) or pure AI (inconsistent, non-deterministic, noisy). Neither is good enough to trust as a CI/CD gate. ## What DeepSource Does DeepSource automates code review on every pull request using a hybrid analysis engine that combines 5,000+ deterministic static analysis rules with an AI review agent. The result is high-signal, low false-positive code review — across GitHub, GitLab, Bitbucket, and Azure DevOps. Every PR gets a Report Card grading code across five dimensions: Security, Reliability, Complexity, Hygiene, and Coverage. This gives AI coding agents structured, actionable feedback to systematically improve — not just a flat list of issues. No CI configuration required. Connect your repo and get results in minutes. --- ## The Hybrid Analysis Engine DeepSource is the only code review platform with a hybrid engine that combines static analysis and AI in a single pipeline. This is not AI bolted onto a legacy tool — it is the default analysis mode for all customers. ### How it works 1. **Codebase Indexing** — Builds a per-PR AST and whole-project graph (data-flow, control-flow, import graph, sources/sinks). Intelligently cached across runs. No full repository pre-indexing required. 2. **Static Pass** — Runs 5,000+ static analyzers to establish a low-false-positive baseline. A sub-agent filters context-specific false positives before seeding the AI review. 3. **AI Review** — Static findings seed the AI agent's review. The agent has access to source code tools (ripgrep, graph lookups). A taint analysis sub-agent tracks the flow of potentially insecure data. The agent reviews the relevant code slice with full codebase context. 4. **Multi-layer Caching** — Source code, AST, and project stores are cached across runs for fast repeat analysis. ### Why hybrid wins - **Accuracy** — Static-only tools have high precision but low recall. AI-only tools are inconsistent. The hybrid approach achieves the best balance in the market (82.42% on the OpenSSF CVE Benchmark). - **Signal-to-noise** — Static analysis filters before AI review, so critical issues are never buried under speculative comments. - **Determinism** — Static anchoring makes results deterministic enough to trust in CI/CD gates, unlike pure AI tools that produce different results on re-review. - **Cost and speed** — Static analysis narrows the scope before AI runs, making review faster and cheaper than LLM-only approaches. --- ## Benchmark Performance ### Code Review Accuracy (OpenSSF CVE Benchmark, 165 real CVEs) The OpenSSF CVE Benchmark evaluates tools on real-world security vulnerabilities in JavaScript and TypeScript that have been validated and fixed in open-source projects. It measures both the ability to detect vulnerabilities and to recognize valid patches. | Tool | Accuracy | | ----------------- | ---------- | | **DeepSource** | **82.42%** | | OpenAI Codex | 81.21% | | Devin Review | 80.61% | | Cursor BugBot | 78.79% | | Greptile | 73.94% | | Claude Code | 71.52% | | CodeRabbit | 61.21% | | Semgrep (CE) | 58.18% | DeepSource maintains 90.77% precision while catching 71.95% of vulnerabilities — the best balance of detection and signal quality in the market. Full benchmark methodology and raw data: https://deepsource.com/benchmarks ### Secrets Detection (F1 Score) | Tool | F1 Score | | -------------- | ---------- | | **DeepSource** | **92.78%** | | Gitleaks | 75.62% | | detect-secrets | 54.35% | | TruffleHog | 41.22% | --- ## Platform Capabilities DeepSource is not just AI code review — it is a complete platform for code quality and security. ### Core Review - **AI Code Review** — Hybrid static + AI analysis on every pull request. Inline comments with explanations and suggested fixes. - **Autofix™** — Verified, pre-generated patches for most issues. One-click fixes that don't break your code. - **PR Quality Gates** — Define guardrails and prevent PRs from merging when quality thresholds aren't met. Trustworthy enough for CI/CD. - **PR Report Card** — Grades every PR across five dimensions (Security, Reliability, Complexity, Hygiene, Coverage) with an aggregate letter grade (A–D) and a single focus area. Designed to give AI coding agents structured, actionable feedback they can use to systematically improve code quality. ### Security - **SAST** — Static Application Security Testing across 30+ languages. - **Secrets Detection** — Catches API keys, tokens, and credentials. Validated against 165+ providers. 92.78% F1 score. - **SCA** — Software Composition Analysis with reachability and taint analysis. Finds which dependency vulnerabilities actually affect your code, not just which dependencies have CVEs. - **IaC Security** — Security review for Terraform and CloudFormation. - **License Compliance** — Flags copyleft and restrictive OSS licenses before they create legal risk. - **Compliance Reporting** — OWASP Top 10 and SANS Top 25 reports out of the box. ### Quality - **Code Quality & Static Analysis** — 5,000+ rules for bugs, anti-patterns, complexity, and style across 30+ languages. - **Code Coverage** — Track test coverage, see untested lines, enforce thresholds so nothing ships without tests. - **Full Codebase Scanning** — Go beyond pull requests. Scan your entire codebase and track code health over time. ### AI Agent Interoperability - **MCP Server** (coming soon) — Native integration with Claude Code, Cursor, Windsurf, and any MCP-compatible editor. Feed review insights and structured feedback directly into AI coding agents. - **PR Report Card** — Gives AI agents a structured signal (letter grade + focus area) they can parse and act on, rather than a flat list of unstructured comments. - **GraphQL API & Webhooks** — Full API access and real-time events for building custom integrations. ### Integrations - **SCM** — GitHub, GitLab, Bitbucket, Azure DevOps. Native integration, no CI configuration required. - **Workflow** — Jira, Slack, VS Code, IntelliJ, Vanta (SOC 2). - **Stacked PR Support** — Full support for stacked/chained pull requests. ### Enterprise - Self-hosted / on-premise deployment with BYOK for AI (supports major LLM providers) - SSO and SCIM provisioning - Audit logs and exportable reports - Centralized dashboard with org-wide and per-repo visibility - SOC 2 Type II certified, GDPR compliant --- ## Getting Started Get your first AI code review in minutes: 1. **Sign up** — Authenticate with GitHub, GitLab, Bitbucket, or Azure DevOps. 2. **Pick a repository and pull request** — DeepSource auto-detects languages and configures the right analyzers. 3. **Get results** — Review findings inline on your PR or in the DeepSource dashboard. Typically takes a minute or two. No CI configuration, no YAML files, no build integration required. Sign up: https://app.deepsource.com/login Setup guide: https://deepsource.com/docs/platform/getting-started --- ## Pricing - **Free for Open Source** — Free for all public repositories. - **Team — $30/user/month ($24/user/month billed annually)** — Full platform access with $10 in AI Review credits per contributor per month. Credits are pooled at the team level across all repositories. - **Enterprise — Custom pricing** — Self-hosted deployment, SSO/SCIM, dedicated support, $15 in AI credits per contributor per month. All plans include unlimited pull request analysis. ### AI Review Credits Credits are consumed when AI Review analyzes pull requests. Rates: $8 per 100K input lines of code, $4 per 1K fixed lines of code. Unused credits roll over each billing cycle. Optional auto top-up available. Details: https://deepsource.com/docs/platform/reference/billing#ai-credits ### Free Trial Every new team gets a 14-day free trial of the Team plan — no credit card required. Includes full platform access and bundled AI Review credits. After the trial, you can upgrade or your account pauses with no charges. Data and configuration are preserved. Start free: https://app.deepsource.com/login Trial details: https://deepsource.com/docs/platform/reference/billing#free-trial --- ## Scale - 1,600,000+ connected repositories - 7,500+ teams on the platform - 99.99% uptime - 6,000+ companies, including NASA, Ancestry, and Babbel - Founded in 2019, headquartered in San Francisco --- ## Languages Supported Python, Java, Go, JavaScript, TypeScript, Ruby, PHP, C, C++, C#, Rust, Scala, Kotlin, Dart, Swift, Terraform, CloudFormation, Docker, Shell, and more. 30+ languages with 5,000+ analysis rules. --- ## Links ### Product - [Homepage](https://deepsource.com/) - [Pricing](https://deepsource.com/pricing) - [Benchmarks](https://deepsource.com/benchmarks) - [Product Demo](https://deepsource.com/product-demo) - [Sign Up / Login](https://app.deepsource.com/login) ### Platform - [Code Quality & Static Analysis](https://deepsource.com/platform/code-quality) - [SAST](https://deepsource.com/platform/sast) - [Software Composition Analysis](https://deepsource.com/platform/sca) - [Code Coverage](https://deepsource.com/platform/code-coverage) - [IaC Security](https://deepsource.com/platform/iac-security) ### Documentation - [Getting Started](https://deepsource.com/docs/platform/getting-started) - [Full Documentation](https://docs.deepsource.com/docs) - [Billing & AI Credits](https://deepsource.com/docs/platform/reference/billing) - [Analyzer Directory](https://deepsource.com/directory) ### Company - [About](https://deepsource.com/about) - [Blog](https://deepsource.com/blog) - [Changelog](https://deepsource.com/changelog) - [Customer Stories](https://deepsource.com/customers) - [Careers](https://deepsource.com/jobs) - [Contact Sales](https://deepsource.com/contact/sales) ### Comparisons - [DeepSource vs SonarQube](https://deepsource.com/sonarqube-alternatives) - [DeepSource vs Snyk](https://deepsource.com/snyk-alternatives) - [DeepSource vs Semgrep](https://deepsource.com/semgrep-alternatives) - [DeepSource vs Veracode](https://deepsource.com/veracode-alternatives) - [DeepSource vs Checkmarx](https://deepsource.com/checkmarx-alternatives) - [DeepSource vs CodeClimate](https://deepsource.com/codeclimate-alternatives) - [DeepSource vs Codacy](https://deepsource.com/codacy-alternatives) ### Legal - [Terms of Service](https://deepsource.com/legal/terms) - [Privacy Policy](https://deepsource.com/legal/privacy) - [Acceptable Use Policy](https://deepsource.com/legal/acceptable-use) - [Security & Trust Center](https://trust.deepsource.com)