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The 5 AI Tools Developers Use Most

In recent years, artificial intelligence (AI) has become a true game changer in software development. AI is automating many tasks such as writing code, fixing bugs, testing and…

AILab team

2 min read

In recent years, artificial intelligence (AI) has become a true game changer in software development. AI is automating many tasks such as writing code, fixing bugs, testing and documentation, multiplying developer productivity several times over.

In this article, we introduce the 5 AI tools most widely used by developers around the world, along with their features and real-world usage examples.

1. GitHub Copilot – Your AI Pair Programmer

GitHub Copilot is an AI assistant built on OpenAI's GPT models that offers real-time suggestions as you write code.

Key advantages:

  • Automatically writes lines of code, functions and even complete classes
  • Supports many languages, including Python, JavaScript, Java, C++ and Go
  • Integrates directly with IDEs such as VS Code, JetBrains and Neovim

Why do developers use it so much?

GitHub Copilot noticeably speeds up coding and reduces repetitive work. That is why many developers call it an "AI pair programmer".

2. ChatGPT – A Universal Assistant for Code and Logic

ChatGPT is not just for writing text; it is a versatile AI tool for developers.

Common use cases:

  • Explaining and fixing bugs
  • Explaining algorithms and data structures
  • Quickly learning new technologies and frameworks
  • Generating example code for APIs and functions

Advantages:

Because ChatGPT can think about the big picture and explain logic outside the IDE, it is equally useful to junior and senior developers.

3. Cursor AI – A Code Editor with Built-in AI

Cursor is a next-generation code editor with AI built into its core.

Features:

  • Able to work with large codebases
  • Analyzes multiple files at once and suggests refactors
  • Lets you run commands such as "Explain this code" and "Fix this bug" directly from within your code

Who is it for?

  • Developers who work on large projects
  • Developers who maintain legacy code
  • Developers who want AI at the center of their IDE

4. Tabnine – Fast, Secure Code Autocomplete

Tabnine is an AI-powered code autocomplete tool and another popular alternative to Copilot.

Advantages:

  • Supports many IDEs and programming languages
  • Well suited to enterprise-level use
  • Can run locally (offline) in some configurations

Why use it?

Tabnine is a better fit for teams that prioritize code security and speed.

5. Qodo (CodiumAI) – AI Code Checker and Code Review

Qodo (formerly CodiumAI) is an AI tool focused on code quality, testing and review.

What can it do?

  • Automatically generates unit tests
  • Performs code reviews and suggests improvements
  • Works in tandem with CI/CD pipelines

Benefits:

This tool keeps a team's code quality consistent and reduces the time spent on manual review.

AILab team

Engineers building fintech, AI, and blockchain in Ulaanbaatar.

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