JetBrains AI vs Kilo Code (2026)
Updated April 29, 2026
Overview
JetBrains AI is the native AI assistant built into IntelliJ-platform IDEs (IntelliJ IDEA, PyCharm, WebStorm, etc.). It includes Junie, an autonomous coding agent that can plan and implement features, write tests, and handle multi-file changes. JetBrains AI leverages deep IDE integration for context-aware code understanding.
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
- Native integration with popular JetBrains IDEs
- Credit system (1 credit = USD 1) simplifies budgeting
- 30-day trial with AI Pro
- Works across all JetBrains products
Cons
- Requires separate JetBrains IDE subscription
- Specific tier pricing not fully transparent
- Credits must be actively managed
- Limited to JetBrains ecosystem
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 reviewJetBrains AI or Kilo Code — which should you choose?
Choose JetBrains AI 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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