Using AI to better code, debug and manage projects

1. Code Completion and Suggestions

AI-powered code completion tools can predict and suggest the next lines of code based on the context of your current coding. Examples include:

Copilot: Uses OpenAI’s Codex to provide code suggestions and completions as you type. Now, aside from Github, you can also use Copilot for free on bing.com (the colorful icon next to the search bar), or simply type in the search bar and it will appear.

• Tabnine: An AI assistant that integrates with various IDEs (Pycharm, Visual Studio, etc.) to offer intelligent code completions. It’s more personalize and private

2. Debugging and Error Detection

Snyk is an extension in Visual Studio Code that focuses on finding and fixing security vulnerabilities in your code and dependencies.

3. Automated Code Review

Codacy: Analyzes code for quality and security issues, providing actionable feedback. You can integrate it with Github, Slack, and many other ecosystems

6. Documentation Generation

Doxygen with AI integrations: Uses AI to generate comprehensive documentation from annotated source code.

8. Project Management and Planning

AI can help in planning and managing coding projects:

• Jira with AI integrations: Uses AI to predict project timelines, suggest task assignments, and identify potential bottlenecks, tracking bugs.
• ClickUp: Offers AI-driven insights and recommendations for project management and task prioritization.