AI-Powered SQL Builder: A Drag-and-Drop Approach
Published:Jan 12, 2026 07:42
•1 min read
•Zenn AI
Analysis
This project highlights the increasing accessibility of AI-assisted software development. Utilizing multiple AI coding agents suggests a practical approach to leveraging various AI capabilities and potentially mitigating dependency on a single model. The focus on drag-and-drop SQL query building addresses a common user pain point, indicating a user-centered design approach.
Key Takeaways
- •The project utilizes AI coding agents (Claude, Codex, Gemini) for all code generation.
- •The application enables drag-and-drop SQL query construction for ease of use.
- •The project addresses the challenges of learning and using SQL.
Reference
“The application's code was entirely implemented using AI coding agents. Specifically, the development progressed by leveraging Claude Code, ChatGPT's Codex CLI, and Gemini (Antigravity).”