Pull request review
Combines more than 5,000 deterministic rules with an AI review agent to comment on bugs, anti-patterns, and security vulnerabilities in pull requests.
DeepSource
Freemium
AI-assisted code review and static analysis for software teams.
O que é DeepSource?
DeepSource is a code review and application security platform for reviewing pull requests and analyzing codebases. It combines static analysis with AI review to identify bugs, security vulnerabilities, anti-patterns, and code-quality issues, then provides structured feedback in the pull request workflow. Teams can also use it to scan dependencies, track code coverage, detect secrets, and apply quality or security gates before merging.
O que DeepSource pode fazer?
Autofix AI
Provides AI-generated remediation for detected issues, with a diff users can inspect before accepting a change.
Dependency scanning
Scans open-source dependencies for known vulnerabilities and license compliance issues. Reachability analysis traces calls through the repository and dependency code to determine whether vulnerable code is used.
Code health and security checks
Includes static analysis, SAST, infrastructure-as-code review, secrets detection, and code coverage tracking; teams can set thresholds and pull request gates.
Reports and integrations
Provides structured pull request reports, including security, reliability, complexity, hygiene, and coverage areas. Integrations and workflow interfaces listed include Slack, Jira, an API, webhooks, and an MCP server.
Automated formatting and baseline analysis
Runs open-source formatters on commits or pull requests, and can focus reviews on newly introduced issues so existing findings do not dominate branch feedback.
Casos de uso
“Review AI-assisted code before merge”
Use pull request comments and quality or security gates to inspect code produced at a higher pace and prevent changes that fail team-defined criteria from merging.
“Triage dependency vulnerabilities”
Use reachability information and recommended remediation paths to prioritize dependency findings and evaluate upgrade options beyond simply moving to the latest version.
“Manage existing codebase risk”
Run full-codebase reviews to track code health and security hotspots over time, alongside pull request checks for incoming changes.
“Track test coverage and security posture”
Monitor coverage and use security reports organized around frameworks such as OWASP Top 10 and CWE/SANS Top 25 to identify areas needing attention.
Perguntas frequentes
Can I try DeepSource before subscribing?
The pricing page offers a 14-day free trial and says no credit card is required to start.
Does DeepSource review pull requests?
Yes. It analyzes pull requests using deterministic rules and an AI review agent, then presents findings as structured feedback and review comments.
Can DeepSource fix issues automatically?
Autofix AI can generate remediation patches. The product page says users can inspect the proposed diff before accepting the fix.
Does it scan open-source dependencies?
Yes. Its SCA capabilities include vulnerability scanning, reachability analysis, and license compliance checks.
Can teams use their own AI provider keys?
The Enterprise plan lists BYOK for AI Review with keys from Anthropic Claude, OpenAI, or Google Gemini; inference runs on the customer's infrastructure.
Informações rápidas
- Category
- AI code review and static analysis
- Primary users
- Software development and application security teams
- Review workflow
- Pull request comments, reports, and configurable merge gates
- Analysis coverage
- Code quality, security, dependencies, secrets, infrastructure as code, and coverage
- Trial
- 14 days; no credit card required
- Company update
- DeepSource has joined Harness
Análise de tráfego de DeepSource
Os dados de tráfego são apenas para referência.
- Classificação do domínio
- 71
Alternativas ao DeepSource
Polylane
polylane.com
Polylane is an AI operations platform that connects cloud resources, code, and observability data to detect incidents, investigate causes, review production impact, and prepare fixes. It is designed for engineering and DevOps teams that want automated incident response and production change analysis.
Hyrax
hyrax.dev
Hyrax is an AI codebase architecture and engineering review platform for teams working through GitHub. It maps repository structure, evaluates code across six engineering dimensions, and proposes verified changes as pull requests for developers to review and merge.
Gitar
gitar.ai
Gitar is an AI-powered code review and pull request automation tool for teams that need to verify changes before merging. It reviews code, diagnoses CI failures, applies fixes under configurable rules, and checks that the pipeline passes.
GitWarren
gitwarren.com
GitWarren is a local code-review tool for inspecting and commenting on the staged, unstaged, and untracked changes in an agent’s Git worktree before they are committed or pushed. It runs on the machine containing the repository and can be used through a desktop app, a browser, or an MCP server connected to coding agents.
Context Goblin
contextgoblin.com
Context Goblin is an AI code reviewer for GitHub pull requests that uses call-graph and cross-repository context to assess changes. It helps development teams review architecture, security, logic, and test concerns with findings verified against the codebase.