Top AI Tools for Developers in 2024

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It`s an amazing technology-one that will help us solve society`s toughest problems and reshape the world. 

Many developers are using AI-based coding tools. In this article, you`ll learn which AI-powered code generators are the best for creating high-quality code. 

What Is AI? 

"AI is the science of creating computer systems that can perform tasks that typically require human intelligence. These tasks encompass a wide range of activities, such as understanding human language, recognizing patterns in data, solving problems and even adapting to new situations." 

In this blog, we will discuss AI tools for developers to increase their productivity. 

1. Tabnine 

In Tabnine, AI suggests the best lines for code completion based on the context of a developer`s writing. Also, this AI tool helps developers write cleaner code much faster and more efficiently. 

Tabnine`s machine-learning algorithm learns from both open-source data and proprietary code contributed by users, enabling more diverse and accurate predictions. 

Key Features: 

• Significantly accelerates development time. 
• Helps eliminate minor errors, leading to improved code quality. 
• Enhances productivity with minimal extra effort. 

2. Otter.ai 

This AI-powered transcription service provides real-time transcriptions for meetings, interviews, lectures, and more. In addition to simple transcription, it offers features such as speaker identification, keyword extraction, and text summarization. 

Key Features: 

• Allows developers to focus more on primary coding responsibilities 
• Maximises productivity and improves workflow efficiency 
• Automates the note-taking process, reducing time spent on administrative tasks 

3. OpenAI Codex 

The OpenAI Codex is one of the most popular AI code tools available today. Based on OpenAI`s LLMs (GPT-3 and GPT-4), it is trained on billions of lines of code. It supports a wide range of programming languages. 

OpenAI Codex excels most in the Python programming language but is also capable of producing outputs in over a dozen languages like Javascript, Go, Pearl, and PHP.

Key Features: 

• Codex can assist developers by providing suggestions, autocompleting code snippets, and offering solutions to programming problems. 
• Codex supports multiple programming languages, including Python, JavaScript, Java, C++, and more. 
• Codex can analyze code snippets, identify potential issues, and provide suggestions for improvement during code reviews. 

4. GitHub Copilot 

GitHub Copilot is a code-auto generation instrument made by OpenAI and GitHub. Using billions of lines of public code, it can translate natural language requests and generate code recommendations. The term can also be used to describe code in English and code conversion between different coding languages. 

Key Features: 

• Compatible with popular IDEs 
• Suggesting code and completing functions during coding 
• Identifying errors and suggesting fixes 

5. Amazon CodeGuru 

CodeGuru is an artificial intelligence-powered static application security testing (SAST) tool that uses machine learning and automated reasoning to locate vulnerabilities in your code. With the help of your runtime data, it can also provide recommendations on how to fix those vulnerabilities. 

Key Features: 

• CodeGuru Profiler, you’ll get interactive visualizations and recommendations you can use to fine-tune performance. 
• CodeGuru Reviewer detects potential defects and vulnerabilities that are hard to find and human reviews might have missed. 
• CodeGuru integrates with popular software development tools like Bitbucket and Github, making it easy to integrate into your existing workflow. 

6. ChatGPT 

ChatGPT is a powerful conversational AI that generates human-like text based on the input it receives. Web developers can integrate ChatGPT into websites and applications to create dynamic, intelligent chatbots, automate customer service, and generate content. 

It’s an all-around tool you can train to help with practically every facet of web development. 

Key Features: 

• Generates informative content and writes code, facilitating rapid development. 
• Easily integrates with websites and applications, allowing for tailored user interactions. 
• Understands complex queries and maintains conversational context. 

7. Mintlify 

Mintlify is your secret weapon for writing awesome documentation for your coding projects. You can use Mintlify Docs to generate new documentation from scratch within minutes. Or, you can use the Suggestions feature to polish your existing documentation. 

Key Features: 

• Mintlify can analyze your doc to find broken links, grammatical mistakes, etc. 
• It can write your documentation for you. 
• It can suggest improvements in your documentation to increase readability, accessibility, and structural organization. 

8. AskCodi 

The tool supports various programming languages and provides quick code suggestions. AskCodi comes with features like Codi Chat for AI-powered code conversations, Workbooks resembling Jupyter Notebooks for developers, integrations for coding productivity, and tools to translate between programming languages.

Key Features: 

• Predict code performance. Identify potential bottlenecks and optimize your code ahead of time. 
• Get code examples. Learn new concepts and techniques for different projects. 
• AskCodi can answer your coding questions, even if they are open-ended, challenging, or strange. 

9. ClickUp 

ClickUp is a game-changer for software teams, offering a range of innovative tools to enhance work efficiency. Featuring task automation features, bug tracking templates, and a handy AI writing assistant, ClickUp is more than just your average project management software. 

Key Features: 

• Agile templates for easy project management 
• Automated task assignments, commenting, and status updates 
• 15+ ClickUp views for seamless project organization 

10. DeepCode: 

DeepCode uses artificial intelligence to review and analyze code, making it an essential tool for maintaining high-quality standards. It is ideal for developers who wish to identify potential issues early and ensure best practices are followed. 

It provides real-time feedback on code quality, including bug detection, security vulnerabilities, and performance optimization. 

Key Features: 

• DeepCode AI helps to identify potential bugs in your code by analyzing your code structure, syntax, and logic. 
• Simplify the deployment of your code to production environments. 
• The AI model can suggest improvements, such as refactoring, code optimization, and code style improvements. 

The best AI tools for you depend on your needs and budget. Hope you found this article helpful. Thank you for reading.