AI for Developer Productivity

5 AI Tools Every Software Developer Should Know About in 2024

April 29, 2024

The landscape of software development is continuously evolving, and artificial intelligence (AI) plays a pivotal role in this transformation. AI tools are revolutionizing the way software developers work, from automating mundane tasks to offering insights that drive innovation. 

As we navigate through 2024, here are five AI tools that every developer should have in their arsenal to stay ahead in the game.

1. GitHub Copilot

  • Category: AI Pair Programmer
  • Website: GitHub Copilot
  • VSCode Plugin: Available directly within the Visual Studio Code marketplace. Simply search for "GitHub Copilot" in the extensions view of VSCode.

GitHub Copilot, powered by OpenAI, is like having a pair of extra hands on the keyboard. This AI pair programmer assists developers by suggesting complete lines of code or entire functions as they type. It's built on a vast corpus of code, enabling it to provide contextually relevant suggestions in dozens of languages. The tool learns from the codebase it's working on, making its suggestions more accurate over time. It's an invaluable asset for speeding up the development process and overcoming coding hurdles.

2. ChatGPT for Documentation

  • Category: AI Documentation Assistant
  • Website:
  • VSCode Plugin:

Documentation is a critical, yet often cumbersome, part of software development. Enter ChatGPT, an AI-driven tool that excels in understanding and generating human-like text. Developers can use ChatGPT to generate documentation, comments, and even explain complex code snippets in simpler terms. Its ability to understand natural language queries also makes it an excellent tool for debugging and finding solutions to coding problems.

3. CodeBERT

  • Category: AI Code Assistant
  • Website: GitHub 

CodeBERT is a groundbreaking AI tool designed specifically for programming languages. Developed by Microsoft, it understands the semantics of code in multiple programming languages. CodeBERT assists in code search, documentation generation, and even code translation between languages. Its deep understanding of code semantics makes it incredibly useful for code review and maintenance tasks, ensuring higher code quality and consistency.

4. TensorFlow Developer Tools

For developers venturing into machine learning (ML) and deep learning projects, TensorFlow's suite of developer tools is indispensable. TensorFlow, an open-source ML framework, offers extensive libraries, tools, and community resources for building and deploying ML models. TensorFlow Developer Tools include TensorBoard for visualization, TensorFlow Extended for end-to-end ML pipelines, and TensorFlow Model Analysis for evaluating model performance. These tools are essential for developers looking to incorporate ML into their applications.

5. DALL·E for Creative Development

For projects that require creative content generation, DALL·E is a game-changer. This AI model, developed by OpenAI, can generate original, high-quality images from textual descriptions. Whether it's generating visuals for a game, creating unique icons for an app, or even brainstorming product designs, DALL·E opens up new avenues for creative development. Its ability to understand and visualize complex requests makes it a powerful tool for designers and developers alike.


The integration of AI tools in software development is no longer a futuristic vision—it's the present reality. These tools offer unprecedented support in code generation, documentation, debugging, creative development, and more. By leveraging GitHub Copilot, ChatGPT, CodeBERT, TensorFlow Developer Tools, and DALL·E, developers can enhance their productivity, creativity, and code quality. As AI continues to evolve, staying updated with these tools will be crucial for any developer looking to excel in the fast-paced world of technology.