Devin vs Google Jules
Updated March 9, 2026
Overview
Devin by Cognition is the first fully autonomous AI software engineer. It can plan, write code, debug, deploy, and handle entire development tasks from start to finish using its own code editor, terminal, and browser. Devin works alongside human engineers on real-world codebases, handling tasks like bug fixes, feature implementations, and codebase migrations with minimal human intervention.
Jules is Google's AI coding agent powered by Gemini. It integrates with GitHub workflows to autonomously handle coding tasks—fixing bugs, writing tests, implementing features, and submitting pull requests. Jules runs in a cloud VM with its own development environment, understanding project context and dependencies to produce code that fits naturally into existing codebases.
Key features
Core capabilities each platform advertises.
- Fully autonomous software engineer
- Plans, codes, tests, and deploys
- Slack and IDE integration
- Parallel task execution
- Full development environment access
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Dramatically reduced pricing makes AI coding accessible at USD 20/month
- Strong performance on routine tasks—bug fixes, tests, and glue code
- Autonomous operation through Slack reduces context switching
- Proven ROI with companies like Nubank reporting 20x cost savings
Cons
- Completes only 15 percent of complex tasks without human help
- Gets stuck in technical dead-ends requiring intervention
- Cannot handle integration conflicts or unclear decision points
- Tasks take much longer than expected—days instead of hours for straightforward work
Pros
- Strong workflow UX with detailed planning and approval process
- Adds tests alongside implementations—better than most LLMs
- Private by default with no training on user code
- Effective for routine tasks like bug fixes and dependency updates
Cons
- Only 15 daily tasks on free tier severely limits evaluation
- Struggles with large codebases due to context window limits
- Not suitable for architectural overhauls or complex features
- Requires human oversight despite autonomous operation
Devin or Google Jules — which should you choose?
Choose Devin if you wantChoose if you want
- End-to-end feature development
- Bug fixing with full autonomy
- Repository-wide migrations
- Automated testing and QA
- DevOps and infrastructure tasks
Choose Google Jules if you wantChoose if you want
Compare Devin and Google Jules on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.