Fynix Copilot: Your Comprehensive AI Coding Assistant - Generate Code, Ensure Quality, Visualize with AI-Driven Flow Diagrams, and Execute Tasks through Natural Language Commands

Overview 🚀

Fynix Copilot is your intelligent AI companion, seamlessly integrating with Visual Studio Code to support all programming languages. Offering real-time assistance for coding, testing, and reviewing, it streamlines workflows, automates tasks, and boosts productivity for developers at all levels.

Getting Started with Fynix Copilot ⚡

Install Fynix Copilot

• 🔍 Search "Fynix Copilot" in your IDE’s extensions marketplace (e.g., Visual Studio Code, IntelliJ).
• 📥 Install the extension to integrate Fynix Copilot into your development environment.

Sign In

• 🔑 Authenticate within your IDE to unlock Fynix Copilot’s full capabilities.
• 🤖 Access personalized AI assistance, code suggestions, and all premium features.

Navigate the Extension

• 📂 Click on the Fynix Copilot icon within your IDE to access the main interface.
• 🚀 Explore features like code generation, testing, and documentation to enhance your coding experience.

Features ✨

Slash Commands 🚀

• /help: Lists all available commands and mentions with brief descriptions.

Code Generation and Fixing 🔧

• /fix: Detects and resolves errors in selected code.
• /complete: Suggests code completions based on the surrounding context.
• /refactor: Provides structural improvements or optimizations.

Cross-Language Translation 🌐

• /translate: Converts code from one language to another (e.g., Python to JavaScript).

Unit Test Creation 🧪

• /test: Automates unit test creation for selected functions.

File Attachments in Code Reviews 📎

• Attach files for AI-driven reviews, documentation, and suggestions (images supported).

Context-Aware Suggestions 💡

• Use @file, @folder, @workspace and more for tailored AI insights specific to your project context.

Fynix AI Review 🛠️

• Perform line-by-line code reviews to improve quality and detect errors.

Fynix Terminal 💻

• Execute natural language commands directly in the terminal.
• Fynix translates instructions into executable commands.

Fynix Diagram 📊

• Use /diagram to create visualizations, flowcharts, and UML diagrams for better code understanding.

Workspace Analysis 🗂️

• Analyze and gain insights into the project structure using @workspace commands.
  • Invoke Analysis: Type @workspace [query].
  • Comprehensive Examination: Analyzes relationships, patterns, and dependencies across files.
  • Contextual Insights: Provides actionable suggestions tailored to your project.

Use Cases 🎯

Project Scaffolding with /new Command

• 🏗️ Automate folder structures, configuration files, and boilerplate code creation.

Text to Code

• ✍️ Enter plain text requirements and let Fynix generate actionable code.

Code Documentation and Explanation

• /doc: Auto-generate documentation for functions or classes.
• /explain: Break down selected code with detailed logic explanations.

Configurations ⚙️

Code Completion and Snippet Settings

• Inline AutoCode Completion
  • 🛠️ Toggle inline suggestions on/off.
  • ⏱️ Set delay for contextual responses.
• Snippet Length Settings
  • Define snippet lengths for selections and imports.

Context Configuration

• 📁 Max files to index for faster processing.
• 🚫 Ignore specific files to improve relevance.

Advanced Settings

• 📜 File Content Context: Define how much of the file is considered during suggestions.
• 📋 AI Rules: Customize AI behavior, such as "Always use functional React."
• 💾 Export Settings: Export conversations as markdown for documentation.

Shortcuts for Quick Navigation ⌨️

• Ctrl / Cmd + Shift + 0: Focus on the Fynix Assistant view.
• Ctrl / Cmd + Shift + T: Generate unit tests for selected code.
• Ctrl / Cmd + Shift + D: Create a docstring for the selected code.
• Ctrl / Cmd + Shift + L: Run code in the Fynix terminal.
• Ctrl / Cmd + Shift + R: Refactor selected code.
• Ctrl / Cmd + Shift + E: Explain the selected code block.

Best Practices for Writing Effective Prompts ✍️

Be Specific and Clear

• Define tasks precisely for focused responses.

  Example: "Generate a Python function to calculate compound interest."

Provide Contextual Details

• Add relevant context or code for better understanding.

  Example: "Translate this Python function to JavaScript."

Specify Expected Outcome

• Clearly state your desired output.

  Example: "Generate a JSON schema for a user profile."

Use Commands for Specific Actions

• Combine commands like /fix or @workspace for precision.

  Example: @workspace summarize project dependencies.

Start Coding Smarter and Faster with Fynix Copilot Today! 🚀