JetBrains AI Assistant vs Kilo Code (2026)

JetBrains AI Assistant

by JetBrains

Kilo Code

by Anaconda

Pros

• ✓Built into eleven JetBrains IDEs plus Android Studio and ReSharper, with code completion from JetBrains' own Mellum model that does not use AI Credits, and a public preview extension for Visual Studio Code.
• ✓Several coding agents in one chat: JetBrains' own Junie, plus Claude Agent, Codex and GitHub Copilot, and any ACP-compatible agent from the registry, with MCP support in both directions.
• ✓Cloud models from OpenAI, Anthropic, Google and xAI through JetBrains AI, bring-your-own-key for OpenAI and Anthropic, and local models through Ollama or LM Studio.

Limitations

• –AI Free is not available in IntelliJ IDEA without an Ultimate subscription, PyCharm without a Pro subscription, or Android Studio, and it does not include next edit suggestions.
• –Cloud AI features pause when the included credits run out until the quota renews after 30 days or credits are topped up, and unused included credits do not roll over.
• –SSO and SCIM, AI audit logs, organization-wide provider keys and on-premises deployment require AI Enterprise at $60 per user per month billed annually, sold through a demo request.

Pros

• ✓Open-source MIT-licensed and model-agnostic with 500+ models: connect any provider through BYOK with no markup, or use Kilo Pass managed inference from $19 per month. 27.7k GitHub stars and 5M+ users validate broad developer adoption.
• ✓Multi-mode architecture with parallel agents across 6+ surfaces: Architect, Code, Debug, Ask, and Orchestrator modes handle planning and execution as separate concerns with subagent delegation across concurrent git worktrees. Cloud Agents, Slack, and Code Reviewer extend beyond IDE-only workflows.
• ✓Trusted by developers at Meta, Amazon, Airbnb, PayPal, Square, and Red Hat with $8M seed funding and Product Hunt #1 Open Source Product of the Month award. More than 10 trillion tokens are processed across the platform every month.
• ✓EU data residency and provider control: the EU page documents EU-hosted inference routing, an approved-provider list, and admin restriction of unsupported routes. Kilo Mobile for iOS and Android extends agent sessions beyond the desktop, and an MCP marketplace collects community-contributed servers.

Limitations

• –SSO, SCIM, audit logs and SLAs come with the custom-priced Enterprise plan, while Teams at $15 per user per month covers usage analytics, shared agents and centralized billing.
• –Advanced features such as Memory Bank, custom modes and MCP tool configuration take setup and tuning beyond the default install.
• –Local model performance depends heavily on available hardware: expect uneven results without sufficient GPU compute for larger open-source LLMs, which limits local-first deployments on standard developer machines.
• –Code sent through Kilo Gateway can reach model providers that use prompts for training: an organization-level code training opt-out and a provider data-policy filter are available, but the setting that hides prompt-training models is disabled by default.
• –Review sentiment splits sharply by corpus: its rating on the VS Code Marketplace, by far the largest independent review base, sits well below its G2 and Product Hunt scores, which rest on much smaller samples.