AI-Powered Coding: Boost Debugging & Speed Up Development

AI is transforming coding by automating tasks, enhancing debugging, and accelerating development. Here are some top AI tools and how to use them efficiently.

1. GitHub Copilot (OpenAI Codex)

Use Case: Auto-completes code and generates functions.

Steps:

1. Install the GitHub Copilot extension in VS Code.
2. Start typing a function name; Copilot suggests completions.
3. Accept suggestions with the Tab key.

2. ChatGPT for Debugging

Use Case: Fixes bugs and explains code.

Steps:

1. Paste your error message into ChatGPT.
2. Ask for a fix or explanation.
3. Apply the suggested changes and test.

3. Amazon CodeWhisperer

Use Case: Secure and efficient code generation.

Steps:

1. Enable CodeWhisperer in AWS Toolkit for VS Code.
2. Type your code, and get AI-driven suggestions.
3. Apply security fixes before deployment.

4. Tabnine

Use Case: Context-aware auto-completions.

Steps:

1. Install Tabnine in your IDE.
2. Start coding; Tabnine provides real-time suggestions.
3. Use shortcuts to insert optimized code snippets.

5. DeepCode (Snyk Code)

Use Case: Finds vulnerabilities and optimizes code.

Steps:

1. Integrate DeepCode with your Git repository.
2. Run a scan to detect security issues.
3. Fix flagged vulnerabilities before merging.

What AI tools do you use? Share in the comments!