🧠 GPT Coder Assistant – AI Developer Toolkit GPT Coder Assistant is an advanced all-in-one AI-powered developer tool built for coders, engineers, and software enthusiasts. It provides 100% free, clean, and intuitive access to multiple code-related utilities—all in one sleek interface. --- 🚀 Key Features 🛠 Code Generator:- Generate clean, production-ready code from any idea or requirement. Ideal for quickly building prototypes or full-featured modules. 📖 Code Explainer:- Understand even the most complex code with step-by-step, human-like explanations. Perfect for beginners or deep debugging. 🔁 Code Converter:- Convert code accurately between multiple programming languages (e.g., Python ➡ JavaScript). Maintains logic and structure. 🧹 Code Refactor:- Improve the readability, structure, and performance of your code—without changing its functionality. 👀 Code Reviewer:- Get detailed code quality reviews with suggestions on improvement, bad practices, and potential bugs. 🐞 Bug Detector:- Automatically find bugs, logic errors, and vulnerabilities in your code, along with suggestions to fix them. ❓ Q&A Assistant:- Ask any programming-related question and receive concise, accurate answers—whether it's syntax, logic, or concepts. 📄 Documentation Generator:- Generate technical documentation for your code with just one click. Includes usage, methods, parameters, and summaries. --- ⚙️ Dapper Developer Tools (For C#/.NET Developers) ✍️ Code Editor:- Quickly edit and test Dapper-related code snippets with AI suggestions. 💬 Dapper Chat Assistant:- Ask anything about Dapper ORM, LINQ, SQL mapping, or C# patterns. 🌱 Seed Generator:- Auto-generate C# seed data using Dapper practices. 📊 SQL Generator:- Convert C# expressions to clean SQL queries. 🌀 Procedure Generator:- Build SQL stored procedures using natural language prompts. 📥 Entity ➡ Table Generator:- Convert your entity class to a SQL table schema instantly. 📤 Table ➡ Entity Generator:- Convert SQL tables back into proper C# entity classes. 🛡 Injection Detector:- Analyze SQL queries to detect potential injection vulnerabilities.