Kilo Code vs Windsurf (2026)

Kilo Code

by Anaconda

Windsurf

by Cognition

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. 27.4k 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

• ⚠Enterprise governance features (SSO, granular audit logs, RBAC) are less mature than GitHub Copilot or Cursor for procurement-heavy enterprise organizations that require formal security review before deployment.
• ⚠Setup complexity for advanced features including Memory Bank, custom modes, and MCP tool configuration has a real learning curve compared to Copilot or Cursor which require near-zero configuration for basic agentic coding.
• ⚠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.

Pros

• ✓Bundles interactive IDE coding with asynchronous cloud agents under one subscription, so a developer can keep editing locally while delegating longer tasks to Devin Cloud sessions and reviewing the results in the same surface.
• ✓MCP works in both directions, which is rare in this category. Devin Desktop connects out to external MCP servers such as the Slack MCP Server, and Cognition publishes its own MCP server with documented setup instructions for streamable HTTP clients.
• ✓Pricing is public and self-serve up to the Teams tier, with a permanently free plan and a documented usage-quota model, so a team can evaluate and adopt the product without talking to sales.
• ✓Devin Desktop is FedRAMP High authorized and meets DoD IL4, IL5 and IL6 through Palantir FedStart, with ITAR and FIPS 140-2 and 140-3 coverage on the same scope.

Limitations

• ⚠SAML and OIDC single sign-on, virtual private cloud deployment, teamspace isolation and centralized admin controls are all Enterprise-tier items, so the $20 Pro plan carries none of them and concurrent sessions are capped at ten.
• ⚠Customer data may be used for model training by default under Cognition's platform terms, and the contractual opt-out is restricted to paid tiers, so free-plan users have no opt-out at all. On the Teams tier only an administrator can exercise it.
• ⚠Cognition publishes customer outcome figures against anonymized categories such as Financial Institution or Technology Company rather than named accounts, and publishes no autonomous task-completion rate on any surface. FedRAMP High and the DoD impact levels cover Devin Desktop today, while the Devin Cloud agents are slated for the second half of 2026.