🧠 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.