DeepSource: The AI Code Review Platform

Your green light to ship with confidence.

Your team is writing more code with AI. DeepSource automates code reviews, so you can ship to production faster with confidence.

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Platform

Deep code review with hybrid static analysis and AI agents. High-signal, low false-positive issues and structured feedback across security, quality, complexity, and coverage.

Inline review on pull requests

Catch bugs, anti-patterns, and security vulnerabilities on every pull request. Powered by 5,000+ deterministic rules along with our state-of-the-art AI review agent.

Autofix™

Verified, pre-generated patches for most issues, so you can fix issues faster without breaking your flow.

String-based query with `JSON_EXTRACT` risks SQL injection

The code constructs an SQL DELETE statement by directly formatting self.table_name into the query string and using user-controllable parameters with JSON_EXTRACT.

Critical Security AI REVIEW

472	with self._get_cursor() as cur:
473	try:
474	# Use JSON_EXTRACT for JSON field access
475	cur.execute(
476	f"DELETE FROM `{self.table_name}` WHERE JSON_EXTRACT(meta, %s) = %s", 1
477	(f"$.{key}", value),
478	)
479	except Exception as e:
480	logger.warning("Error deleting by metadata field: %s", e)
481	raise

api/core/rag/datasource/vdb/doris/doris_vector.py

Pull request gates

Define guardrails and prevent pull requests from merging when the PR quality is not satisfactory.

PR Report Card

More than just issues. Structured feedback to your AI agent to help improve quality of any pull request.

Overall PR Quality

Focus AreaReliability

Guidance

Fix the high-severity _check_milestones call outside transaction risk in contrib/referrals/team_referral.py to prevent inconsistent states.

Secrets Detection

Prevent API keys, tokens, and sensitive credentials from ever reaching production. Validated against 165+ providers.

OSS Vulnerability Scanning

See which dependency vulnerabilities actually affect your code with reachability and taint analysis.

Code Coverage

Track coverage and see which lines in your code are untested. Enforce thresholds so nothing ships without tests.

Compliance Reporting

Stay audit-ready with security vulnerability reports mapped to OWASP® Top 10 and SANS Top 25.

Infrastructure-as-Code Review

Catch security misconfigurations in Terraform and CloudFormation before they become incidents.

License Compliance

Catch copyleft and restrictive OSS licenses before they create legal risk for your product.

MCP Server Coming soon

Feed review insights and structured feedback directly into your AI coding agent or any MCP-compatible app.

API & Webhooks

Bring DeepSource into your workflows with a full GraphQL API and real-time webhook events.

Full Codebase Review

Go beyond pull requests. Scan your entire existing codebase and track code health and security hotspots over time.

With DeepSource's pull request analysis workflow, everything is integrated — right at the point of merge, and this has been a game changer for us.

Reed Wilson, Engineering Manager

Reed Wilson logo

Benchmarks

Highest accuracy in finding bad and insecure code. DeepSource is state-of-the-art on OpenSSF CVE Benchmark.

What's Accuracy?

Measure of how often the code review engine gets it right: detecting real vulnerabilities in vulnerable code, and recognizing that patched code is actually fixed.

About this benchmark

The OpenSSF CVE Benchmark consists of code and metadata for over 200 real-life security vulnerabilities in JavaScript and TypeScript, which have been validated and fixed in open-source projects.

It evaluates tools on two key metrics: their ability to detect the vulnerability (avoiding false negatives) and their ability to recognize the validated patch (avoiding false positive).

Enterprise Ready

Code review intelligence for startups and Fortune 500s. DeepSource is secure by design and built for scale.

SOC 2 Compliance

SOC 2 Type II Compliant