Top 5 AI Tools for Software Engineers

The software development landscape is undergoing a rapid transformation, with artificial intelligence (AI) emerging as a powerful ally for engineers. From automating mundane tasks to providing intelligent code suggestions, AI tools are enhancing productivity and innovation. 

This article highlights the top 5 AI tools gaining popularity among UK software engineers, based on their performance and user feedback.

Table of Contents

ai coding tools for software engineers

1. Cursor

Free two-week trial and paid plans from $20 per month
Visit Cursor website

Cursor is a code editor designed to enhance productivity through AI. It offers features like code completion, natural language editing, and integration with popular codebases.

Pros:

  • Intelligent code suggestions
  • Natural language editing
  • Customisable
  • Privacy-focused

Cons:

  • Learning curve for new users
  • May require a strong internet connection

“Cursor is so good, and literally gets better/more feature-rich every couple of weeks.”

says a Director of an MLOps platform for AI Developers

2. GitHub Copilot

Starts at $10 per user per month for individuals and offers team pricing.
Visit Copilot website

GitHub Copilot, developed by GitHub and OpenAI, is a code completion tool powered by artificial intelligence. It suggests code completions and entire lines of code as you type, significantly accelerating the development process.

Pros:

  • Dramatically improves coding speed
  • Suggests code in various programming languages
  • Integrates seamlessly with GitHub

Cons:

  • Can sometimes generate incorrect or suboptimal code
  • Relies on a strong internet connection

GitHub Copilot has been a game-changer for our team. It’s like having a highly skilled co-pilot assisting us in writing code.”

said a software engineer at a London-based startup

3. Replit

Free with limitations, paid plans offer increased resources from $10 per month
Visit Replit website

Replit is an online integrated development environment (IDE) that incorporates AI features. It allows developers to write, run, and deploy code directly from the browser, making it a versatile tool for various projects.

Pros:

  • Cloud-based platform accessible from anywhere
  • Offers real-time collaboration features
  • Incorporates AI for code completion and debugging

Cons:

  • Free tier has limitations on project size and resources
  • Some users find the interface overwhelming

Replit’s AI-powered features have streamlined my workflow. It’s a great tool for rapid prototyping and collaboration.”

commented a freelance developer

4. Cody by Sourcegraph

Free tier with limitations, paid plans offer advanced features from $9 per month
Visit Cody website

Cody is an AI tool that helps you code faster by suggesting code, explaining concepts, and identifying code issues. It’s customizable and works with various IDEs and LLMs. Overall, Cody is a valuable tool for developers seeking to improve their productivity and understanding of code.

Pros:

  • Time-saving
  • Intelligent Suggestions
  • Contextual Understanding
  • Customisation

Cons:

  • Dependency on AI
  • Learning Curve

Absolutely loved using Cody in VSCode for the last few months. The way it summarises code blocks and fills in gaps in log statements, error messages, and code comments is incredibly smart.

from a VS Code marketplace review

5. Tabnine

Free tier offers limited features, paid plans start at $12 per user per month.
Visit Tabnine website

Tabnine is another code completion tool that leverages AI to provide intelligent code suggestions. It offers both free and premium versions with varying features.

Pros:

  • Supports a wide range of programming languages
  • Provides code snippets and function completion
  • Offers both online and offline modes

Cons:

  • Free version has limited features
  • Some users report occasional inaccuracies in code suggestions

Tabnine has helped me boost my coding efficiency significantly. The code suggestions are often spot on.

shared a developer working on a fintech project

Now it is time to make your selection.

We hope you’ve found these suggestions helpful.

Selecting the right AI tool for yourself or team of Software Engineers depends on specific project requirements, team size, and budget. 

It’s crucial to consider the trade-offs between features, pricing, and potential limitations when making a decision. Many of these tools offer free tiers or trials, allowing developers to experiment and find the best fit for their workflow. As AI technology continues to advance, we can expect even more sophisticated and affordable tools to emerge in the future.

Disclaimer: The popularity and ratings of AI tools can change rapidly. It’s essential to conduct thorough research and consider specific project requirements before selecting the most suitable tool. Pricing of each tool is subject to change.