Windsurf vs MainFunc
A detailed side-by-side comparison to help you choose the right AI coding agent for your needs.
Best credit-based AI IDE with Cascade agent
Windsurf
Windsurf, acquired by Cognition AI and now operating as a credit-based AI IDE, features Cascade, a sophisticated multi-file agent that indexes your entire project to build a deep understanding of arch...
AI Models
SWE-1.5Claude Sonnet 4.6GPT-5.2-CodexGemini 3.1 Pro
Key Features
- Cascade multi-file agent with full project indexing
- Auto-loads relevant context from entire codebase
- Iterative debugging via terminal integration
- Multi-step edit planning with safe incremental changes
- Auto-fix for linting errors and style issues
Pricing
Free — $0/month
Pro — $15/month
Teams — $30/user/month
Enterprise — $60/user/month
Pros
- Affordable Pro tier at $15/month with 500 credits
- Project indexing provides superior context awareness
- Iterative debugging loop saves significant time
Cons
- Credit-based system can be costly for heavy users
- Teams tier required for enterprise management features
Best platform for building and deploying custom enterprise AI agents
MainFunc
MainFunc is an AI platform for building, deploying, and managing custom enterprise agents that automate complex business workflows requiring code generation, system integration, and multi-step reasoni...
AI Models
GPT-4oClaude Opus 4.6Claude Sonnet 4Gemini 1.5 ProCustom fine-tuned models
Key Features
- Visual agent builder with reusable action blocks for business logic
- Managed execution layer handling orchestration, retries, and error recovery
- Sandboxed code execution environment for agents writing and running code
- Real-time execution traces and token usage analytics per workflow
- Multi-model support with per-step model selection
Pricing
Developer — Contact for pricing
Team — Contact for pricing
Enterprise — Custom pricing
Pros
- Production-grade execution layer removes infrastructure burden from engineering teams
- Visual builder accelerates agent development without sacrificing customization
- Per-step model selection optimizes cost and capability across complex workflows
Cons
- Best suited for engineering teams; requires technical configuration for complex agents
- Pricing requires sales engagement with no fully self-serve tier