JetBrains AI vs Kilo Code
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, forked from Cline and Roo Code. It connects to 500+ models across 60+ providers with zero markup, and ships an Orchestrator mode that routes complex tasks to specialist sub-agents (Architect, Coder, Debugger). 1.5M+ users; raised $8M seed in December 2025.
Key features
Core capabilities each platform advertises.
- Orchestrator mode routes complex tasks to specialist sub-agents (Architect / Coder / Debugger)
- 500+ models across 60+ providers (Anthropic, OpenAI, Google, Mistral, Ollama, OpenRouter)
- Runs in VS Code, JetBrains, and as a standalone CLI
- Inline autocomplete, browser automation, and automated refactoring
- Open-source (forked from Cline + Roo Code) with 1.5M+ active users
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
- Most-used open-source coding agent (1.5M+ users, #1 on OpenRouter)
- Zero markup — pays Anthropic/OpenAI/Google list price
- Orchestrator routes complex work to specialist sub-agents
- 500+ models across 60+ providers, including local
- BYOK credits never expire
Cons
- Newer than incumbents like GitHub Copilot — fewer enterprise references
- Quality is bounded by your chosen model and prompt
- Community support rather than dedicated enterprise SLAs
- Orchestrator workflows have a learning curve to configure
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
- Orchestrated multi-step refactors across an existing codebase
- Cost-conscious AI coding via BYOK with zero provider markup
- Multi-IDE team standardization across VS Code and JetBrains
- Local-first private coding workflows with Ollama
- Architectural planning and automated debugging from a single agent
Compare JetBrains AI and Kilo Code 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.