JetBrains AI vs Kilo Code: Coding Agents Comparison
Compare JetBrains AI and Kilo Code side by side. Both are tools in the Coding Agents category.
Quick Comparison
| Category | Coding Agents | Coding Agents |
| Pricing | — | Free (open-source) |
| Best For | — | Developers who want a flexible, open-source coding assistant that works with any LLM and any IDE |
| Website | jetbrains.com | kilo.ai |
| Key Features | — |
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| Use Cases | — |
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When to Choose JetBrains AI vs Kilo Code
- AI-assisted code generation across IDEs
- Multi-model coding with provider flexibility
- Architectural planning and code review
How to Choose a Coding Agents Tool
Key criteria to evaluate when comparing Coding Agents solutions:
About JetBrains AI
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.
About Kilo Code
Kilo Code is an open-source agentic coding assistant that works across VS Code, JetBrains, Cursor, Windsurf, and CLI. It supports any LLM provider including OpenAI, Anthropic, Google, Mistral, and local models via Ollama, and offers specialized modes like Architect, Coder, and Debugger for multi-step task planning and execution. Co-founded by GitLab co-founder Sid Sijbrandij with 750,000+ downloads and $8M in seed funding.
What is Coding Agents?
AI-powered developer tools that can write, review, debug, and refactor code—ranging from IDE copilots to fully autonomous software engineering agents.
Browse all Coding Agents tools →