Deepsource
AI code review with hybrid static analysis and AI agents
DeepSource's hybrid deterministic+AI approach delivers the highest F1 score on the OpenSSF CVE Benchmark (84.51%). It's a top pick for teams that need precise, low-noise code review—especially those shipping AI-generated code. The SaaS-only model and limited free tier make it less suitable for solo devs or air-gapped environments.
Verified 11h ago · liveness 95/100 · cite: rightaichoice.com/tools/deepsource
- Teams using AI coding assistants needing high-quality review of AI-generated code
- Engineering teams enforcing code quality, security, and compliance before merge
- Organizations requiring OWASP/SANS mapped security reports for audits
- Fast-growing startups shipping frequently with confidence
- Solo developers needing free, unlimited scanning on a tight budget
- Teams with niche languages not supported (e.g., Haskell, COBOL)
- Projects requiring deep integration with SonarQube or Checkmarx ecosystems
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Skip DeepSource if you need a self-hosted code review tool that runs fully on-premises without any cloud dependency, as DeepSource is SaaS-only unless you're on the Enterprise plan.
AI Review overage: after your $100/user annual credit runs out, each 10K lines of code costs $8 (Standard) or $15 (Advanced), which can add up fast if you review large PRs frequently.
DeepSource's Team plan at $24/user/mo (yearly) is competitive for growing engineering teams, offering unlimited PR reviews and basic features. However, AI Review overage ($8/10K LOC) can make it expensive for high-volume teams compared to SonarQube (free self-hosted) or Semgrep (free tier with no per-LOC pricing). The free tier is generous for open-source but limited for private repos.
In short
Deepsource — AI code review with hybrid static analysis and AI agents. Best for Teams using AI coding assistants needing high-quality review of AI-generated code, Engineering teams enforcing code quality, security, and compliance before merge, Organizations requiring OWASP/SANS mapped security reports for audits. Free to start; paid plans from $24/mo.
What's new in Deepsource
Checked 15 days agoAcross the latest 5 updates: 2 feature updates, 1 launch and 2 changelog entries.
Enterprise Server v5.0.2: OSS vulnerability scanning for monorepos, AI Review on more languages, Gateway API support
SCA now runs on monorepos; AI Review expands to 10 new languages; Enterprise Server supports Kubernetes Gateway API.
Upgrades to AI Review Engine, standard and advanced tiers, simplified billing
Rebuilt AI Review with better models; Standard tier at $8/10K LOC, Advanced coming; billing now on processed LOC.
Configure New Vulnerability Alerts
Users can customize OSS vulnerability alert recipients and severity thresholds from the dashboard.
DeepSource MCP Server
MCP Server launched, exposing 30 tools across 8 categories for AI coding agents.
BYOK for AI Review
Enterprise Server customers can now bring their own model provider credentials for AI Review.
Viability Score
How likely is Deepsource to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Inline PR review with 5,000+ deterministic rules
- AI Review agent with standard ($8/10K LOC) and advanced ($15/10K LOC) tiers
- Autofix: auto-generated patches for issues
- Pull request gates to block low-quality PRs
- PR Report Card: security, reliability, complexity, hygiene, coverage
- Secrets detection for 165+ providers
- OSS vulnerability scanning with reachability analysis
- Code coverage tracking and threshold enforcement
- Compliance reporting (OWASP Top 10, SANS Top 25)
- Infrastructure-as-Code review (Terraform, CloudFormation)
- License compliance checks
- MCP Server with 30 tools across 8 categories
- Full codebase scan and health tracking
- GraphQL API and real-time webhooks
- Monorepo support for AI Review and OSS scanning
About Deepsource
DeepSource is an AI code review platform that combines 5,000+ deterministic rules with a state-of-the-art AI review agent to catch bugs, anti-patterns, and security vulnerabilities on every pull request. Designed for engineering teams shipping AI-generated code at speed, DeepSource delivers high-signal, low-noise feedback. Key features include inline PR review with Autofix patches, pull request gates that block merging on quality failures, a PR Report Card grading security, reliability, complexity, hygiene, and coverage, secrets detection for 165+ providers, OSS vulnerability scanning with reachability analysis, code coverage enforcement, and compliance reporting mapped to OWASP Top 10 and SANS Top 25. DeepSource also offers Infrastructure-as-Code review for Terraform and CloudFormation, license compliance checks, and an MCP Server to feed insights into AI coding agents. It supports bring-your-own-key (BYOK) for AI Review with Anthropic Claude, OpenAI, or Google Gemini models on Enterprise Cloud. In April 2026, DeepSource rebuilt its AI Review engine with better models and simplified billing ($8/10K LOC Standard, $15/10K LOC Advanced). The MCP Server launched in April 2026, exposing 30 tools across 8 categories. DeepSource holds the highest F1 score (84.51%) on the OpenSSF CVE Benchmark. Compared to SonarQube or Checkmarx, DeepSource focuses on low-noise, actionable feedback integrated directly into the PR workflow, and is SOC 2 Type II and GDPR compliant with 99.99% uptime. The platform supports monorepos and offers a self-hosted Enterprise Server option for air-gapped environments.
Behind the Verdict
DeepSource occupies a sweet spot in the code review market: it combines deterministic static analysis (5,000+ rules) with an AI review agent that doesn't cry wolf. The result is an F1 score of 84.51% on the OpenSSF CVE Benchmark—besting Cursor BugBot (80.45%) and Devin Review (78.08%). For teams using AI coding assistants like GitHub Copilot or Cursor, this is the kind of safety net you need to catch hallucinations before they ship. The Autofix patches are a real time-saver; they auto-generate fixes for many issues, so developers can resolve problems without leaving the PR workflow. We'd reach for this when shipping AI-generated code at scale—especially if you're already using GitHub or GitLab. The PR Report Card gives a structured summary (security, reliability, complexity, hygiene, coverage) that's useful for CI gates. However, the free/open-source tier is limited: only public repos, 1,000 PR reviews/month, and no AI Review credits. The Team tier at $24/user/month (billed yearly) is reasonable, but AI Review costs extra ($8/10K LOC Standard, $15/10K LOC Advanced), which can add up for high-volume teams. Where it bites: if you use many unsupported languages (Haskell, COBOL, etc.), you're out of luck. Also, the self-hosted option is only on the Enterprise plan—so smaller teams with strict compliance requirements may need to go for the custom plan. Compared to SonarQube, DeepSource is easier to set up (SaaS, no server management) and has much lower noise. Compared to CodeRabbit, which also uses AI, DeepSource's deterministic layer gives it an edge on precision. If you're a solo developer or a very small team on a tight budget, the free tier might suffice for public repos, but you'll hit limits quickly. In practice, we've seen it work best for teams of 5-50 engineers who
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Real-world workflow fit
Concrete scenarios for the personas Deepsource actually fits — and what changes day-one when you adopt it.
You ship AI-generated code from Copilot daily and need to ensure quality without slowing down. You set up DeepSource on your GitHub repos, enable PR gates to block merges if the PR Report Card shows a security issue or failing coverage threshold.
Outcome: Every PR gets a structured report; Autofix patches common issues automatically. Your team merges faster with confidence, and you catch a critical SQL injection before it hits production.
You need to enforce OWASP Top 10 compliance and scan all dependencies for reachable vulnerabilities. You configure DeepSource secrets detection, OSS vulnerability scanning with reachability, and compliance reporting. You use the MCP Server to feed findings into your AI agent for automatic fix PRs.
Outcome: Audit-ready reports are generated automatically. A reachability analysis finds a critical Log4j vulnerability that your team had missed, and DeepSource creates a fix PR via the agent.
Use Cases
- Catch security vulnerabilities in pull requests before merge using AI + static analysis.
- Enforce code quality standards with PR gates and PR Report Card grades.
- Scan open-source dependencies for known vulnerabilities and license compliance.
- Use AI agents to autonomously fix issues via DeepSource CLI or MCP Server.
- Track code coverage and enforce thresholds to prevent untested code from shipping.
Models Under the Hood
as of 2026-07-14
Limitations
- AI Review is usage-based: Team plan includes $100 annual credit per user; overage costs $8/10K LOC (Standard) or $15/10K LOC (Advanced).
- Free tier limits AI Review and code formatting to 1,000 runs/month.
- Self-hosted and BYOK features require Enterprise plan with custom pricing.
- The Advanced AI Review tier is not yet generally available (coming soon).
as of 2026-06-28
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Deepsource tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source
$0/mo
Ideal for
Maintainers of public repositories who want free code quality and security scanning for their community projects. Ideal for small open-source teams with up to 1,000 PRs/month.
What this tier adds
Free entry point covering public repos with 1,000 PR reviews/month and pay-as-you-go AI Review—perfect for starting out.
Team
$24/user/mo
Ideal for
Growing engineering teams (10-50 devs) that ship frequently with AI assistance and need unlimited PR reviews, AI Review credits, and monorepo support. Good for startups and mid-market.
What this tier adds
Adds unlimited private repos, unlimited PR reviews, $100/user/year AI Review credit, monorepo support, and audit logs compared to Open Source tier.
Enterprise
Custom
Ideal for
Large organizations or security-conscious teams that need self-hosted deployment, BYOK, SSO, and dedicated support. Ideal for regulated industries (finance, healthcare).
What this tier adds
Adds self-hosted deployment, BYOK, SSO, IP restrictions, air-gapped deployment, account manager, and SLA—compared to Team tier.
Where the pricing makes sense
The company stage and team size where Deepsource's pricing actually pencils out — and where peers do it cheaper.
DeepSource's Team plan at $24/user/mo (yearly) is competitive for growing engineering teams, offering unlimited PR reviews and basic features. However, AI Review overage ($8/10K LOC) can make it expensive for high-volume teams compared to SonarQube (free self-hosted) or Semgrep (free tier with no per-LOC pricing). The free tier is generous for open-source but limited for private repos.
Setup time & first value
How long it actually takes to get something useful out of Deepsource — broken out by persona, not the marketing-page minute.
A single developer can connect a GitHub repo and get a first PR review within 5 minutes—just sign up, authorize, select a repo and PR. Inviting the team and configuring analyzers adds about 15 minutes. Full rollout with PR gates and coverage thresholds takes under an hour.
Switching to or from Deepsource
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From SonarQube: Export your quality profiles as DeepSource analyzer configs in YAML—your rules map to DeepSource's 5,000+ deterministic checks. Then connect your repos and set up PR integration.
- →From Codacy: Migrate your language settings and repository list via DeepSource's API. Your team onboarding takes a day.
- ↗To SonarQube: Export your issue database via DeepSource API and import into SonarQube's generic issue import format. Repoint your CI webhooks.
- ↗To Semgrep: Your custom rules can be translated to Semgrep's rule syntax; DeepSource's dashboard data can be exported via API.
Integrations
Resources & Guides
Official links
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Common stack mates teams adopt alongside Deepsource, with the specific reason each pairing earns its keep.
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