Who is DeepSource best for?

DeepSource is built for Software engineering teams at startups and mid-market to enterprise companies, Application security engineers integrating SAST into development workflows, Engineering managers seeking code quality visibility and PR quality enforcement, DevOps and platform engineers building secure CI/CD pipelines. Common use cases include Automated pull request code review for engineering teams shipping AI-assisted code; Shift-left security vulnerability detection before code reaches production; Technical debt reduction across legacy codebases.

How is DeepSource priced?

DeepSource offers three tiers: (1) Open Source—free for public repositories with 1,000 PR reviews/month and pay-as-you-go AI Review and Autofix™; (2) Team—$24 per user/month billed annually, includes unlimited repositories, unlimited PR reviews, unlimited Autofix™, unlimited code formatting, $100 annual AI Review credit per user (Standard AI Review at $8/10K processed LOC, Advanced at $15/10K LOC), OSS Dependency Scanning (3 targets included, $8/additional target/month), Jira/Slack integrations, audit logs, and API/webhooks; (3) Enterprise—custom pricing, adds self-hosted deployment, BYOK for AI Review (Anthropic, OpenAI, Google Gemini), SSO, IP restrictions, airgapped deployment, SLA-backed support, and a dedicated account manager. A 14-day free trial is available with up to $50 in AI Review credits, no credit card required.

What are the alternatives to DeepSource?

Common AI Code Review & Code Quality alternatives to DeepSource include Greptile, Sourcegraph, Qodo, CodeRabbit, SonarSource. See the full comparison hub at /verticals/ai-code-review-and-code-quality/compare.

What do users praise about DeepSource?

Users frequently praise: Fast and easy setup with major VCS platforms (GitHub, GitLab, Bitbucket); Autofix™ generates clean, merge-ready patches that pass code review; Low false-positive rate reduces noise compared to legacy tools; Responsive and engaged customer support team; Automated code formatting eliminates linting/style CI failures; Frees reviewers to focus on complex logic rather than mechanical checks; Increasing analyzer coverage and language support over time; Native PR workflow integration without extra CI configuration steps.

What are common complaints about DeepSource?

Frequently cited limitations: Occasional false positives require manual verification; Limited support for certain frameworks and niche languages; Free plan lacks automated analysis on private repositories; Reporting and analytics dashboards noted as less mature; Autofix does not cover all issue types; multi-file fixes limited; Volume of flagged issues can feel overwhelming on large legacy codebases; AI Review credits add variable cost on top of per-seat pricing.

When was DeepSource founded and where?

DeepSource was founded in 2018, headquartered in San Francisco, CA, USA by Sanket Saurav, Jai Pradeesh.

How big is DeepSource?

DeepSource reports 11-50 employees, 6,000+ companies customers.

AI visibility report

AI visibility report for DeepSource in AI Code Review & Code Quality.

Outside the top three on 20 of the 25 prompts buyers actually ask.

Sourcegraph is cited on 10 of those losses.

25 prompts

6 platforms

Updated Aug 16, 2026 - refreshed weekly

Track DeepSource daily

Free trial. Setup comes pre-filled for DeepSource.

Track DeepSource across these prompts daily.

Start free trial

5percent

Presence Rate

Low presence

Still absent from 94.7% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.45

Sentiment

-1.00.0+1.0

Positive

No clearrank

Peer Ranking

#1#11

No clear rankin AI Code Review & Code Quality

Key Metrics

Presence Rate

5.3%

Share of Voice

5.2%

Avg Position

#3.8

Docs Presence

0.0%

Blog Presence

0.0%

Brand Mentions

14.0%

Platform Breakdown

Perplexity

20%5/25 prompts

Bing Copilot

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

DeepSource is an AI code review platform founded in 2018 and backed by Y Combinator (W20). It combines a proprietary static analysis engine—encompassing 5,000+ deterministic rules—with an AI review agent to automatically inspect every pull request for bugs, security vulnerabilities, anti-patterns, and code quality issues. The platform covers SAST, software composition analysis, secrets detection, IaC security, code coverage, and compliance reporting (OWASP Top 10, SANS Top 25) in a single product. Its flagship Autofix™ feature generates verified, pre-built code patches for detected issues. DeepSource integrates natively with GitHub, GitLab, Bitbucket, and Azure DevOps, and supports self-hosted and enterprise cloud deployments. It is used by 6,000+ organizations, from startups to Fortune 500s including NASA, Ancestry, and Babbel.

AI visibility report

AI visibility report for DeepSource in AI Code Review & Code Quality.

Outside the top three on 20 of the 25 prompts buyers actually ask.

Sourcegraph is cited on 10 of those losses.

25 prompts

6 platforms

Updated Aug 16, 2026 - refreshed weekly

Track DeepSource daily

Free trial. Setup comes pre-filled for DeepSource.

Track DeepSource across these prompts daily.

Start free trial

5percent

Presence Rate

Low presence

Still absent from 94.7% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.45

Sentiment

-1.00.0+1.0

Positive

No clearrank

Peer Ranking

#1#11

No clear rankin AI Code Review & Code Quality

Key Metrics

Presence Rate

5.3%

Share of Voice

5.2%

Avg Position

#3.8

Docs Presence

0.0%

Blog Presence

0.0%

Brand Mentions

14.0%

Platform Breakdown

Perplexity

20%5/25 prompts

Bing Copilot

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Reviews

4.8/5Capterra·10+

Praised

Fast and easy setup with major VCS platforms (GitHub, GitLab, Bitbucket)
Autofix™ generates clean, merge-ready patches that pass code review
Low false-positive rate reduces noise compared to legacy tools
Responsive and engaged customer support team
Automated code formatting eliminates linting/style CI failures
Frees reviewers to focus on complex logic rather than mechanical checks
Increasing analyzer coverage and language support over time
Native PR workflow integration without extra CI configuration steps

Criticized

Occasional false positives require manual verification
Limited support for certain frameworks and niche languages
Free plan lacks automated analysis on private repositories
Reporting and analytics dashboards noted as less mature
Autofix does not cover all issue types; multi-file fixes limited
Volume of flagged issues can feel overwhelming on large legacy codebases
AI Review credits add variable cost on top of per-seat pricing

User reviews across Capterra and G2 are consistently positive on ease of setup, VCS integration quality, and the value of Autofix™ for tackling legacy code debt. Engineering teams praise how DeepSource shifts code review focus to deeper issues by handling objective checks automatically. Responsive customer support is a recurring highlight. Criticisms center on occasional false positives, gaps in language and framework coverage for niche stacks, and AI Review and reporting features that some users note as still maturing. The free tier's lack of automated analysis for private repositories is also cited as a limitation.

Prompt	Bing Copilot	ChatGPT	Google AI Mode	Gemini Search	Perplexity	Grok
Capability2/5 cited (40%)
What AI code review tools can analyze infrastructure-as-code files alongside application code for a full-stack security posture review?	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Your brand and a competitor were cited	Neither your brand nor a competitor was cited

#	Brand	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos	Sentiment
1	Sourcegraph	16.0%	16.8%	0.0%	16.0%	0.0%	#4.2	+0.20
2	Greptile	16.0%	18.3%	1.3%	0.0%	24.0%	#4.6	+0.36
3	Qodo	14.7%	16.2%	3.3%	9.3%	35.3%	#5.3	+0.46
4	CodeRabbit	11.3%	14.1%	6.7%	0.7%	40.0%	#3.3	+0.56
5	SonarSource	10.0%	13.6%	4.0%	1.3%	8.0%	#3.2	+0.43
6	DeepSource	5.3%	5.2%	0.0%	0.0%	14.0%	#3.8	+0.45
7	Snyk	5.3%	5.2%	2.0%	0.7%	22.0%	#4.5	+0.51
8	Semgrep	4.0%	6.3%	0.0%	1.3%	0.0%	#5.5	+0.75
9	Codacy	1.3%	2.6%	0.7%	0.7%	13.3%	#3.0	+0.35
10	Code Climate	1.3%	1.0%	0.0%	0.0%	4.0%	#4.5	+0.60
11	Graphite	0.7%	0.5%	0.0%	0.7%	0.0%	#2.0	+0.00

Developer Experience2/5 cited (40%)
Which AI code review tools give feedback that engineers actually find useful — not just style nitpicks but real logic and security issues?	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Your brand and a competitor were cited	Neither your brand nor a competitor was cited

Integrations & Ecosystem0/5 cited (0%)
What code review tools work across both cloud-hosted and on-premises version control systems for teams with a hybrid repository strategy?	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

Performance & Reliability1/5 cited (20%)
What code quality platforms scale to thousands of PRs per day without degrading analysis quality or response time?	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

AI visibility report for DeepSource in AI Code Review & Code Quality.

Key Metrics

Platform Breakdown

Overview

AI visibility report for DeepSource in AI Code Review & Code Quality.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and DeepSource is not.

Where DeepSource is winning1

Where DeepSource is losing5

Key Facts

Key Capabilities10

Key Use Cases8

DeepSource customer outcomes

Recent Trend

How AI describes DeepSource3

Most cited sources2

Alternatives in AI Code Review & Code Quality6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

Setup & First Run1/5 cited (20%)
Which AI code review tools can be added to a pull request workflow in under 30 minutes with no changes to existing CI pipelines?	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

AI visibility report for DeepSource in AI Code Review & Code Quality.

Key Metrics

Platform Breakdown

Overview

AI visibility report for DeepSource in AI Code Review & Code Quality.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and DeepSource is not.

Where DeepSource is winning1

Where DeepSource is losing5

Key Facts

Key Capabilities10

Key Use Cases8

DeepSource customer outcomes

Recent Trend

How AI describes DeepSource3

Most cited sources2

Alternatives in AI Code Review & Code Quality6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

What does DeepSource do?

Who is DeepSource best for?

How is DeepSource priced?

What are the alternatives to DeepSource?

What do users praise about DeepSource?

What are common complaints about DeepSource?

When was DeepSource founded and where?

How big is DeepSource?