DeepCode

Name: DeepCode
Brand: DeepCode
Rating: 4.1 (51 reviews)

Unclaimed

Purpose-built AI for secure development, powering fast, accurate, and comprehensive AppSec testing.

Security Developer Tools Testing & QA AI & Automation

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4.1(51 across the web)

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Reviews onPeerSpot

51 reviews tracked

The Bottom Line

Entry price

Free, no paid tier

Biggest pro

High accuracy in vulnerability detection due to hybrid AI

Biggest con

Specific limitations or drawbacks of the AI models are not detailed

TL;DR - DeepCode

Powers Snyk's AI Security Platform for comprehensive code security.
Uses hybrid AI for accurate vulnerability detection and 80%-accurate autofixes.
Ensures data privacy and boosts developer productivity by reducing MTTR.

Pricing: Free forever

Best for: Individuals & startups

4.1/5 across review platforms

What is DeepCode?

Editorial review

DeepCode AI powers the Snyk AI Security Platform, offering a robust solution for securing code, including AI-generated code. It utilizes multiple fine-tuned AI models and security-specific data curated by top security specialists to identify, autofix, and prioritize vulnerabilities, as well as manage technical debt across 19+ supported languages. This platform is designed for developers and security teams looking to integrate advanced application security testing (SAST) into their development workflows. It aims to boost developer productivity by providing 80%-accurate security autofixes and comprehensive app coverage, allowing teams to build fast while maintaining high security standards. DeepCode AI emphasizes data privacy through its self-hosted nature and avoids using customer data for training, relying instead on permissively licensed open-source projects with verified code fixes.

Available on: Web

LCLouis CorneloupUpdated May 26, 2026 · how we evaluateSourcedeepcode.ai ↗

Pros & Cons

Pros

High accuracy in vulnerability detection due to hybrid AI
Significant productivity boost with automated autofixes
Strong emphasis on data privacy (no customer data used for training)
Comprehensive coverage across many languages and data flow cases
Reduces Mean Time To Remediate (MTTR) by 84% or more

Cons

Specific limitations or drawbacks of the AI models are not detailed
Requires integration with Snyk platform for full functionality
New users might need time to understand and leverage all AI features

Ratings Across the Web

4.1(51 reviews)

PeerSpot51 reviews

4.1/5

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

AI-powered vulnerability detection and prioritization80%-accurate security autofixes (Snyk Agent Fix)Support for 19+ programming languagesHybrid AI (symbolic and generative AI) for scanning accuracyRisk-based prioritization with context-aware scoringSimplified rules creation with DeepCode AI SearchIntegration with Snyk IDE plugin for in-IDE scanning and autofixingSelf-hosted AI for data privacy

Pricing Plans

Pricing checked May 29, 2026

Free

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Reviews

4.1/5

Across 51 verified user reviews on PeerSpot

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Best DeepCode Alternatives

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FortifyFreemium

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SnykFreemium

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VeracodePaid

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SonarQubeFreemium

Automated code review for bugs, vulnerabilities, and code smells

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CheckmarxPaid

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CodacyFreemium

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DeepCode FAQ

What is DeepCode?

DeepCode AI is a purpose-built artificial intelligence technology that powers the Snyk AI Security Platform. It is designed to provide fast, accurate, and comprehensive application security testing (SAST) by identifying, autofixing, and prioritizing code vulnerabilities and managing technical debt.

How much does DeepCode cost?

DeepCode AI is part of the Snyk platform, which offers a free tier to get started. Specific pricing for advanced features or enterprise solutions would be available through Snyk's pricing plans.

Is DeepCode free?

Yes, you can get started with Snyk AI code security tools, powered by DeepCode AI, for free. No credit card is required to start with GitHub, Google, Bitbucket, and other options.

Who is DeepCode for?

DeepCode AI is for developers, security teams, and organizations that want to integrate advanced AI-powered application security testing into their software development lifecycle. It's particularly beneficial for those looking to secure both human-written and AI-generated code efficiently and accurately.

Source: deepcode.ai

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