Google Jules vs Kilo Code (2026)
Updated April 29, 2026
Overview
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.
Kilo Code is an open-source AI coding agent for VS Code, JetBrains, and the CLI with 500+ models at zero markup. Compare its pricing, pros and cons.
Key features
Core capabilities each platform advertises.
- VS Code, JetBrains, and CLI
- Ask, Architect, Code, Debug, and custom modes
- 500+ models through Kilo Gateway, BYOK, or local models
- Code completion and generation
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
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
Pros
- Free and open source under MIT
- No markup on model usage
- 500+ models, including BYOK and local
- Same agent across VS Code, JetBrains, and the CLI
Cons
- 5% processing fee on credit purchases
- Now owned by Anaconda, with product integration details still to come
- Audit logs, SSO, and SCIM are Enterprise only
What people are saying
Brilliant coding assistant — works great for both VS Code and JetBrains IDEs with access to many providers.
Read full reviewGoogle Jules or Kilo Code — which should you choose?
Choose Google Jules if you wantChoose if you want
Choose Kilo Code if you wantChoose if you want
- Multi-step refactors across an existing codebase
- BYOK coding with no provider markup
- Standardizing one agent across VS Code and JetBrains
- Private coding workflows with local models
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