JulesvsDevin

Jules vs Devin

Jules is Google's asynchronous AI coding agent integrated with GitHub, while Devin is an autonomous AI software engineer with its own development environment. Both tackle multi-step coding tasks autonomously but with different integration approaches.

Get Your Code Reviewed — $19

Jules by Google operates asynchronously on GitHub issues, creating plans and implementing changes while developers focus on other work. Devin takes a more active, real-time approach with a full development environment where it can browse the web, write code, and run tests. Teams choosing between them weigh async background processing against real-time autonomous development.

Head-to-head comparison

Code structure

Jules

Jules

Jules produces focused, issue-scoped code changes that follow existing codebase patterns, resulting in clean integration with existing code.

Devin

Devin can produce larger, more architecturally complex implementations that may not always align with existing code conventions.

Security

Jules

Jules

Jules generates changes as pull requests that must be reviewed before merging, maintaining the human oversight layer in the development process.

Devin

Devin operates autonomously with broader system access, requiring teams to carefully configure what resources and credentials it can access.

Speed of prototyping

Devin

Jules

Jules works asynchronously in the background, which is efficient but means developers must wait for batch completion rather than real-time interaction.

Devin

Devin works in real-time and can be guided interactively, making it faster for iterative problem-solving that requires back-and-forth.

Backend/data layer

Devin

Jules

Jules can implement backend changes based on issue context but is best suited for well-defined tasks with clear specifications.

Devin

Devin can independently research, design, and implement backend systems including database schemas and API architecture.

Deployment readiness

Jules

Jules

Jules integrates directly with GitHub, so its changes flow naturally into existing CI/CD pipelines after pull request approval.

Devin

Devin can run deployment commands but requires explicit workflow configuration to integrate with existing deployment infrastructure.

Long-term maintainability

Jules

Jules

Jules's incremental, PR-scoped changes are easier to audit and maintain, fitting naturally into established code review practices.

Devin

Devin's larger autonomous changes require more thorough review to ensure long-term maintainability and architectural consistency.

Code quality

Jules produces more focused, reviewable code that integrates seamlessly into GitHub-based workflows. Devin's code is more ambitious in scope but requires more careful review to ensure quality and consistency.

Security

Jules's PR-based workflow provides natural security checkpoints through code review. Devin's autonomous access model requires more explicit security configuration to prevent unintended system access.

Which should you choose?

Choose Jules if...

Best for development teams using GitHub who want an async AI agent to handle routine issue resolution and implementation tasks in the background.

Jules services

Choose Devin if...

Best for teams with complex, open-ended engineering challenges that benefit from a real-time autonomous agent capable of research and multi-step problem solving.

Devin services

The bottom line

Jules is the more practical and immediately usable tool for GitHub-based teams automating routine development work. Devin is better suited for complex, open-ended tasks that require autonomous planning and real-time interaction.

Whichever tool you used, we'll review the code

Get a professional review of your AI-generated code at a fixed price.

Security Scan

Black-box review of your public-facing app. No code access needed.

$19
  • OWASP Top 10 checks
  • SSL/TLS analysis
  • Security headers
  • Expert review within 24h
Get Started

Code Audit

In-depth review of your source code for security, quality, and best practices.

$19
  • Security vulnerabilities
  • Code quality review
  • Dependency audit
  • AI pattern analysis
Get Started
Best Value

Complete Bundle

Both scans in one package with cross-referenced findings.

$29$38
  • Everything in both products
  • Cross-referenced findings
  • Unified action plan
Get Started

100% credited toward any paid service. Start with an audit, then let us fix what we find.

Frequently asked questions

Is Jules available to all GitHub users?

Jules is in limited preview through Google — availability is rolling out gradually and may require joining a waitlist.

Can Devin learn from feedback during a task?

Yes — Devin can receive feedback and adjust its approach during task execution, making it responsive to human guidance in real time.

Other comparisons

Cursor vs Lovable

Cursor produces more production-ready code but requires coding knowledge.

Cursor vs Bolt.new

Cursor gets closer to production-ready code.

Cursor vs v0

Cursor builds full-stack apps while v0 generates UI components.

Cursor vs GitHub Copilot

Cursor is more capable for building full features.

Not sure which tool to use?

We've reviewed code from every major AI coding tool. Book a free call and we'll help you understand what your code needs.

Tell Us About Your App