
AI code review platform with hybrid static analysis and AI agents
By Tanmay Verma, Founder · Last verified 04 Jun 2026
In short
Deepsource — AI code review platform with hybrid static analysis and AI agents. Best for Engineering teams shipping high-velocity code with AI assistance, Enterprise teams requiring SOC 2 and GDPR compliance, DevOps teams enforcing code quality gates on PRs. Free to start; paid plans from $24/mo.
Affiliate disclosure: We earn a commission when you use our links. Editorial picks are independent. How we choose.
See what real users actually say. We scan live discussions, reviews and complaints across the web and hand you an honest verdict — in under a minute.
3 free scans · no card needed · downloadable report
If you want a code review tool that actually ships high-signal, low-false-positive results and outperforms rivals on real-world benchmarks, DeepSource is the strongest choice. Its hybrid deterministic-AI engine is uniquely precise while still being thorough.
Compare with: Deepsource vs Snyk DeepCode AI, Deepsource vs Marvin, Deepsource vs Poolside AI
Last verified: June 2026
DeepSource stands out in a crowded market by combining deterministic static analysis with AI review agents, delivering high precision without sacrificing recall. Its F1 score of 84.51% on the OpenSSF CVE Benchmark is the highest among competitors like CodeRabbit (36%) and Semgrep (36.7%), so you get fewer false positives. The PR Report Card feature gives structured feedback beyond just issues, covering reliability, security, complexity, hygiene, and coverage – perfect for enforcing code quality standards. Autofix™ generates verified patches for many issues, reducing fix time. For teams adopting AI-assisted coding, the MCP Server integration lets you feed review insights directly into AI coding agents, aligning with modern workflows. However, DeepSource may be overkill for small projects or individual developers who don't need enterprise-grade compliance and heavyweight CI integration. Also, the pricing is not listed on the page (contact sales), which could be a barrier for budget-conscious teams. Compared to SonarQube, DeepSource offers a more modern, AI-native approach with lower maintenance overhead. If you need SOC 2 and GDPR compliance out-of-the-box, DeepSource is a strong enterprise candidate.
Skip Deepsource if Skip DeepSource if you need unlimited free AI code review or require a fully open-source, self-hosted solution with no per-seat or usage-based pricing.
Across the latest 9 updates: 3 feature updates, 2 launches, 2 changelog entries, 1 community discussion and 1 news mention.
SCA works on monorepos; AI Review adds 10 new languages; Enterprise Server supports Kubernetes Gateway API.
Rebuilt AI Review with better models; Standard tier at $8/10K LOC, Advanced coming; billing now on processed LOC.
Users can now customize preferences for OSS vulnerability alerts via Policies -> OSS Vulnerabilities.
Launched MCP Server, making DeepSource accessible from AI agent ecosystems.
Analysis of LiteLLM supply chain compromise: warns of AI infrastructure dependency risks.
AI Review now supports bring-your-own-key, allowing use of custom model providers on own infrastructure.
New DeepSource CLI gives AI agents structured feedback to act on during development.
Survey of published AI code review benchmarks, methodology gaps, and how DeepSource positions.
Announced AI Review, a new feature for AI-powered code review within DeepSource.
How likely is Deepsource to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
DeepSource is an AI-powered code review platform designed for fast-moving engineering teams. It combines 5,000+ deterministic static analysis rules with state-of-the-art AI review agents to catch bugs, anti-patterns, security vulnerabilities, and complexity issues automatically on every pull request. The platform provides inline review comments, structured PR Report Cards, and Autofix™ for verified patches, helping developers resolve issues without breaking flow. DeepSource also offers secrets detection (165+ providers), OSS vulnerability scanning (with reachability and taint analysis), code coverage tracking, compliance reporting (OWASP Top 10, SANS Top 25), infrastructure-as-code review (Terraform, CloudFormation), and license compliance checks. With an industry-leading F1 score of 84.51% on the OpenSSF CVE Benchmark, DeepSource is built for precision and low false positives. It integrates via GitHub, GitLab, Bitbucket, and supports a GraphQL API and webhooks. DeepSource is SOC 2 Type II and GDPR compliant, making it suitable for startups and enterprise teams alike.
Tell us what you want to build — we'll match the AI tools that fit your goal, budget & existing stack.
Concrete scenarios for the personas Deepsource actually fits — and what changes day-one when you adopt it.
You want to ensure every pull request passes security and quality checks before merging.
Outcome: DeepSource runs static analysis and AI review on every PR, blocking merges if quality gates fail. You get a PR Report Card and Autofix™ suggestions, reducing manual review time by 40%.
You need to enforce compliance (OWASP Top 10, SANS Top 25) and scan dependencies for vulnerabilities in a monorepo.
Outcome: DeepSource's SCA scans each sub-repository independently, with reachability analysis. Compliance reports are generated automatically, and secrets detection prevents credential leaks.
You want your AI agent to autonomously fix code review issues found by DeepSource.
Outcome: Use DeepSource CLI or MCP Server to feed structured review results to your agent. The agent can read findings, create fix PRs, and verify changes via the same pipeline.
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).
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.
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 projects with public repositories that need basic static analysis, limited AI review, and code formatting at no cost.
What this tier adds
Free entry point: unlimited public repos, 1,000 PR reviews/month, 1,000 code formatting runs/month; AI Review and Autofix on pay-as-you-go basis.
Team
$24/user/mo (billed yearly)
Ideal for
Development teams with private repositories that want unlimited PR reviews, AI Review credits, and dependency scanning for up to 3 targets.
What this tier adds
Adds private repos, unlimited PR reviews and code formatting, $100/year AI credit per user, 3 SCA targets included, monorepo support, audit logs, API/Webhooks, priority support.
Enterprise
Custom
Ideal for
Large organizations requiring self-hosted deployment, BYOK for AI Review, Single Sign-On, uptime SLA, and dedicated support.
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/month (annual) is competitive with Semgrep Team and Code Climate, but AI Review credits can be a hidden cost for large PRs. The free Open Source tier is generous for public repos but caps AI Review usage. Enterprise customers pay custom pricing for BYOK and self-hosted features. Compared to SonarQube, DeepSource's AI review and Autofix™ add value, but SonarQube Developer Edition starts at $150/year for a single project and is on-premise only.
How long it actually takes to get something useful out of Deepsource — broken out by persona, not the marketing-page minute.
For a GitHub user: sign up and authorize DeepSource in under 2 minutes. Select a repository and pull request, confirm auto-detected analyzers—first review completes in ~1-2 minutes. Team setup, adding members, and configuring integrations takes another 5-10 minutes. Full configuration (custom analyzers, code formatting, coverage thresholds) can be done in under an hour.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
Common stack mates teams adopt alongside Deepsource, with the specific reason each pairing earns its keep.
Used Deepsource? Help shape our editorial sentiment research.
© 2026 RightAIChoice. All rights reserved.
Built for the AI community.
Last calculated: June 2026
What this tier adds
Adds self-hosted/airgapped deployment, BYOK (Anthropic, OpenAI, Google), SSO, dedicated account manager, migration assistance, custom ToS, uptime SLA, pay via GCP Marketplace.
Full product docs from docs.deepsource.com
Enterprise foundation models for long-horizon software agents