Zencoder provides AI agents for SQL and database code generation with repository-wide context understanding. Free tier includes 30 LLM calls/day; Starter at $19/user/month with 300 calls/day; Core at $49/user/month with unlimited calls. The platform differentiates through repo context—AI understands your entire codebase including schema definitions, ORM models, and existing queries. Supports VS Code and JetBrains IDEs. Model arbitrage feature automatically selects between Claude, GPT, Gemini, and DeepSeek based on task requirements and cost optimization. Features include inline code completion, chat interface, code explanation, and documentation generation. Database-specific capabilities include schema-aware suggestions, query optimization recommendations, and ORM code generation. The agent-based architecture enables multi-step tasks like generating migrations, updating related code, and creating tests. Page should cover: free tier capabilities, model arbitrage explanation, VS Code extension setup, JetBrains plugin configuration, repo context understanding, comparison with GitHub Copilot, and use cases for database development.