Kilo Code vs Pi Coding Agent (2026)
Updated April 29, 2026
Overview
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.
Pi is a minimal, open-source terminal coding agent from Earendil that you extend with skills and packages. Compare its features, pros and cons, and alternatives.
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
- Minimal core with a small system prompt
- Extensions, skills, prompt templates, and themes
- Pi packages installable from npm or git
- Built-in MCP and Codemode
- Multi-provider support via API keys or OAuth
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
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
Pros
- Free and open source under MIT
- Small core that's extended rather than configured
- Works with most major providers, plus local models
- Embeddable through the TypeScript SDK and RPC
Cons
- No sub-agents or plan mode by design
- No built-in permission system, so isolation means running in a container
- Behavior depends on the extensions and skills you assemble
What people are saying
Brilliant coding assistant — works great for both VS Code and JetBrains IDEs with access to many providers.
Read full reviewKilo Code or Pi Coding — which should you choose?
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
Choose Pi Coding if you wantChoose if you want
- Lightweight terminal-based coding
- Building a custom agent harness on the Pi SDK
- Scripting the agent through print/JSON or RPC mode
- Sharing team skills and extensions as packages
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