Deepsource
AI code review platform combining 5,000+ static rules with an AI agent for high-signal PR feedback.
DeepSource is a strong choice for teams that want precise, low-noise code review—especially those shipping AI-generated code. Its hybrid deterministic+AI approach shows top results on the OpenSSF CVE Benchmark (84.51% F1). The per-LOC AI Review pricing is predictable for moderate usage, but heavy users can accrue overage costs. Compared to SonarQube or Checkmarx, DeepSource integrates tightly with PR workflows and has a lower false-positive rate. However, if you need deep integration with existing SonarQube/Checkmarx ecosystems or are a solo developer on a tight budget, other tools may fit better.
Verified 9d ago · liveness 87/100 · 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're a solo developer on a tight budget needing unlimited free scanning, or if your team relies on deep integrations with SonarQube/Checkmarx ecosystems.
Going past the 1,000 monthly pull request reviews on the free tier requires upgrading to Team ($24/user/mo) or paying per AI Review usage.
DeepSource's Team plan ($24/user/mo, billed yearly) fits growing engineering teams that need unlimited PR reviews and code formatting. For AI-heavy workflows, per-LOC billing is predictable but may be pricier than flat-rate tools like Codacy. Compared to SonarQube's self-hosted licensing or Checkmarx's enterprise contracts, DeepSource is lighter-weight for startups but less feature-complete for large enterprises.
In short
Deepsource — AI code review platform combining 5,000+ static rules with an AI agent for high-signal PR feedback. 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/user/mo.
What's new in Deepsource
Checked 9 days agoAcross the latest 4 updates: 3 feature updates and 1 launch.
Enterprise Server v5.0.2: OSS vulnerability scanning for monorepos, AI Review on more languages, Gateway API
SCA now supports monorepos with per-sub-repo results. AI Review expanded to 10 new languages without static analyzers. 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 available now, Advanced at $15/10K LOC coming soon. Billing simplified to processed LOC.
Configure New Vulnerability Alerts
Users can now configure email recipients, admin notifications, and severity thresholds for new OSS vulnerability alerts from the dashboard.
DeepSource MCP Server
MCP Server launched, exposing 30 tools across 8 categories so AI coding agents can read review findings, query vulnerabilities, and manage issues via Model Context Protocol.
Viability Score
How well maintained and how widely used is Deepsource? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Inline PR review with 5,000+ deterministic rules
- AI review agent (Standard and Advanced tiers)
- Autofix™: auto-generated patches for issues
- Pull request gates to block merging on quality failures
- PR Report Card grading security, reliability, complexity, hygiene, coverage
- Secrets detection for 165+ providers
- OSS vulnerability scanning with reachability analysis
- Code coverage tracking and threshold enforcement
- Compliance reporting mapped to OWASP Top 10 and SANS Top 25
- Infrastructure-as-Code review (Terraform, CloudFormation)
- License compliance checks
- MCP Server with 30 tools across 8 categories
- Full codebase review and health tracking
- GraphQL API and real-time webhooks
- Support for monorepos (OSS scanning, AI Review)
About Deepsource
DeepSource is an AI code review platform that combines deterministic static analysis with an AI review agent to catch bugs, anti-patterns, and security vulnerabilities on every pull request. Built for engineering teams shipping AI-generated code, it aims to provide high-signal, low-noise feedback that doesn't slow down your workflow. The platform offers inline PR review, Autofix patches, PR gates, a PR Report Card grading security, reliability, complexity, hygiene, and coverage, secrets detection for 165+ providers, and OSS vulnerability scanning with reachability analysis. Recent updates include a rebuilt AI Review engine, support for monorepos in OSS vulnerability scanning, and an MCP Server that feeds review insights into AI coding agents. DeepSource supports GitHub, GitLab, Bitbucket, and Azure DevOps, and offers a self-hosted Enterprise Server with bring-your-own-key (BYOK) support for AI Review. It reports the highest F1 score (84.51%) on the OpenSSF CVE Benchmark and is SOC 2 Type II compliant.
Behind the Verdict
DeepSource distinguishes itself by pairing 5,000+ deterministic rules with an AI review agent, aiming to reduce false positives while catching real issues. This hybrid approach is particularly relevant for teams using AI coding assistants, where code quality and security issues can slip through. The platform's PR Report Card and Autofix patches provide structured, actionable feedback that goes beyond simple linting. The recent MCP Server launch (April 2026) is a forward-looking feature, allowing AI agents to access review findings and fix issues autonomously—this could be a differentiator for teams building agentic workflows. However, the AI Review pricing is usage-based, and the free tier is limited to 1,000 pull request reviews per month and 1,000 formatting runs, which may not suit high-volume teams. The Standard AI Review tier ($8/10K LOC) is available now, while the Advanced tier ($15/10K LOC) is still upcoming. For teams needing self-hosted or air-gapped deployment, the Enterprise plan is required, which involves custom pricing. Overall, DeepSource is best for growing engineering teams that prioritize code quality and security and are willing to manage per-LOC AI costs. It may be less suitable for solo developers or those needing extensive native integrations with SonarQube/Checkmarx.
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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.
Connect DeepSource to their GitHub org, enable AI Review on pull requests, and set PR gates to block merges on high-severity issues.
Outcome: Reduce bug escapes to production and catch security issues in AI-written code before merge, with clear, actionable PR comments.
Configure OSS dependency scanning and compliance reporting for OWASP Top 10, set up Slack alerts for new critical vulnerabilities.
Outcome: Get a continuous view of dependency risk with reachability analysis and generate reports that satisfy security audits.
Set up the DeepSource MCP Server in their AI coding agent to query PR findings, report card grades, and vulnerability data.
Outcome: AI agent autonomously reads DeepSource feedback on any PR and submits fixes, reducing developer toil.
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
- Generate audit-ready compliance reports for OWASP Top 10 and SANS Top 25
- Review Infrastructure-as-Code for misconfigurations in Terraform/CloudFormation
Models Under the Hood
as of 2026-08-31
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, coming soon).
- 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.
as of 2026-08-29
Verification history
We have re-verified Deepsource 15 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 15 verification passes.
Free to cite with attribution — this page re-verifies continuously.
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
Open-source maintainers and solo developers who want free static analysis, SAST, and code coverage on public repositories with a 1,000-PR-per-month cap.
What this tier adds
Starting tier with unlimited public repositories, 1,000 PR reviews/month, and pay-as-you-go AI Review and Autofix; no private repo support.
Team
$24/user/mo
Ideal for
Growing engineering teams (e.g., 5-50 engineers) that need unlimited PR reviews, code formatting, and moderate AI Review usage on private repositories.
What this tier adds
Adds unlimited private repos, unlimited PR reviews, unlimited code formatting, $100/user annual AI Review credit, OSS Vulnerability Scanning (3 targets), and monorepo support.
Enterprise
Custom
Ideal for
Large enterprises with compliance requirements (SOC 2, HIPAA, FedRAMP) that need self-hosted deployment, SSO, air-gapped setup, and BYOK for AI Review.
What this tier adds
Adds self-hosted deployment, BYOK (Anthropic/OpenAI/Google), SSO, IP restrictions, priority support with SLA, migration assistance, and manual invoicing.
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 ($24/user/mo, billed yearly) fits growing engineering teams that need unlimited PR reviews and code formatting. For AI-heavy workflows, per-LOC billing is predictable but may be pricier than flat-rate tools like Codacy. Compared to SonarQube's self-hosted licensing or Checkmarx's enterprise contracts, DeepSource is lighter-weight for startups but less feature-complete for large enterprises.
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.
New users can expect to connect their repository and get first review results within 10-15 minutes, including sign-up and analyzer setup. For teams, adding members and configuring policies can take under an hour. Enterprise with self-hosted deployment typically needs a few hours to a day for initial setup.
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: You can disable SonarQube checks and point your CI to DeepSource, or run both in parallel during a transition period. DeepSource's static analysis parity covers common languages like Python, JavaScript,
- →From Codacy: Connect the same repositories to DeepSource and import your quality standards by configuring similar analyzers and PR gates.
- ↗To SonarQube: Export DeepSource findings via the GraphQL API and map them to SonarQube's issue types. SonarQube's self-hosted plans can accommodate air-gapped requirements.
- ↗To Snyk: For dependency scanning, Snyk's CLI and integrations can replace DeepSource's SCA module.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Deepsource
Common stack mates teams adopt alongside Deepsource, with the specific reason each pairing earns its keep.
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Frequently Asked Questions
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