7 Best Generative AI Tools for Developers [2024]

In the rapidly evolving world of technology, generative Artificial intelligence (AI) tools for developers have become indispensable assets for innovation and efficiency. These cutting-edge tools harness the power of advanced algorithms and machine learning techniques to autonomously generate content, designs, and code, transforming the development landscape.

As we enter 2024, the demand for generative AI tools for developers continues to soar, offering unprecedented opportunities to streamline workflows, unleash creativity, and push the boundaries of what’s achievable.

In this article, we’ll delve into the seven best generative AI tools tailored specifically for developers in 2024, each equipped with unique features and capabilities to empower developers in their quest for excellence and innovation.

What are Generative AI Tools?

Generative AI tools for developers, often referred to as generative models or algorithms, are innovative software applications that leverage artificial intelligence (AI) techniques to autonomously create new content across various domains. These cutting-edge tools utilize advanced algorithms to learn from existing data and generate new content, such as images, text, music, and even code, with remarkable accuracy and creativity.

Generative AI tools for developers have gained widespread popularity and recognition for their ability to produce realistic and diverse outputs, mimicking human-like creativity and imagination. These tools are invaluable assets in fields ranging from creative arts and design to engineering and problem-solving, enabling developers, designers, and creators to explore new possibilities and push the boundaries of innovation.

7 Best Generative AI Tools for Developers [2024]

1. ChatGPT

ChatGPT is considered to be the top generative AI tools for developers, as it provides code snippets to the programmers and the developers. They can also generate codes , data and texts with easy explanations of the application. It effortlessly creates code sections with comprehensive ability.

Link: https://chat.openai.com/

Features:

• ChatGPT is considered to be conversational AI model.
• It is trained for large volume text and generation of long content.
• Human inputs are required in the form of human dialogue with RLHF.
• It is optimized for the user and has quality to refine itself to improve performance timely.

Pros	Cons
ChatGPT uses large vocabulary and has other multilingual features.	Sometimes the content provided may not be accurate or biased responses.
ChatGPT has self-improvement abilities and contextual understanding.	Bugs in the free version may require users to close and restart the program.
ChatGPT has a form called as ChatGPT Plus which is used internationally when purchased.

Pricing:

• Free
• Paid membership: Starts at $0.002 for 1K prompt tokens.

2. Google Bard

Google Bard helps in optimizing the codes which they generate in more efficient manner. They are also known for improvising the performance and applications of websites created by developers. Since, it is a Google product it is completely aware of Google Docs, Google Spreadsheet, and slides. It also involves machine learning and coding with bard includes, debugging and explaining codes.

Link: https://bard.google.com/u/8/chat

Features:

• It has the access to google services integration with conversational answers.
• It is well aware with the modern company’s latest language PaLM2.
• Bard creates a streamlined content creation process with comprehensive explanations.

Pros	Cons
For convenient review and attribution, it uses multilingual languages for easy understanding.	It is still under development as relatively it is a new AI model.
It can identify and categorize code suggestions resembling open-source training data, presenting reference and license details.	There are certain privacy concern implications related to this AI model.
It uses LAMDA version for initial testing to make proper responses.	The testing process is complicated and only on completion ultra has high price.

Pricing:

• Free
• Pro: $9.99 per month
• Completion Ultra: $29.99 per month

3. GitHub Copilot

GitHub Copilot was the first Microsoft Copilot technology to enter the market. It provides suggestions based on your current and previous inputs. It is considered as one of the best generative AI tools for developers.

Link: https://github.com/features/copilot

Features:

• Copilot for Individuals and Copilot for Business packages are available.
• Natural language prompts converted into code.
• Multi-line function suggestions.

Pros	Cons
Codex along with GitHub’s open repositories.	It has restricted ability to help users with new APIs, coding frameworks, or libraries.
It streamlines the development process for programmers by blocking any suggestions that do not match public code.	It may not be as effective with certain languages or frameworks, such as metaprogramming or macros.

Pricing:

• Monthly: $10/month
• Annually: $100

4. Auto-GPT

Auto GPT a generative AI tools for develpor, provides data by using GPT and by analyzing your code context, Auto-GPT delivers real-time code completions, elevating your coding speed and minimizing errors. It is highly used in creation of web apps.

Link: https://autogpt.net

Features:

• Line-by-Line Autocompletion of the statements and codes.
• Smart filtering after large-scale code generation
• Comprehensive Function Completion is seen with datasheet.

Pros	Cons
Tailored Adaptation is a feature which can be customized to your specific codebase without exposing your code.	There could be ethical or legal considerations regarding the ownership and responsibility of the generated code.
This tool has been thoroughly researched, trained with easing senior developer workload.	The developers must thoroughly assess and edit code suggestions before incorporation.
Securing Code Consistency allowing coding generations.	No substantial amount of computational power and data is there.

Pricing:

• Free
• GPT-4 model has Pro: $0.03 per 1000 prompt tokens.

5. Amazon Code Whisperer

Amazon Code Whisperer is a versatile code generator. As you compose code, Code Whisperer instantly provides suggestions derived from your existing code and comments. The code recommendations are generated by integrating large language models (LLMs) trained on vast datasets encompassing billions of lines of code, inclusive of both Amazon and open-source code.

Link: https://aws.amazon.com/codewhisperer/

Features:

• Code Whisperer accelerates your coding process by generating suggestions, saving you time on laborious coding tasks.
• By offering code suggestions aligned with industry best practices, it contributes to the creation of higher-quality code.
• With its security scanning capabilities, it aids in mitigating the risk of security vulnerabilities in your code.

Pros	Cons
It has the capability to produce real-time code suggestions by analyzing comments and existing code.	It cannot replace the need for human coding skills and judgment.
The tool can scan code, identifying and addressing security vulnerabilities.	Its capability may fall short with innovative coding tasks that demand heightened creativity.
Optimized for seamless integration with AWS services.	Potential limitations or errors in training data result in inaccurate or unsuitable code suggestions.

Pricing:

• Free
• For the professional tier- $19 per user/month

6. Tabnine

Tabnine is a code completion assistant driven by artificial intelligence, designed to enhance the efficiency and quality of software development. It supports multiple programming languages, such as Java in the context of this article. Tabnine offers intelligent code suggestions and prominent integrated development environments (IDEs).

Link: https://www.tabnine.com/

Features:

• Accelerates coding by proposing the next line in the sequence and recommends entire functions based on their declarations.
• Creates automatic code blocks based on natural language comments.
• SOC-2 Compliance which ensures elimination of security and compliance risks.

Pros	Cons
Enhanced Software Development which enhances the speed and efficiency of code creation.	Pro plan required subscription for advanced features.
Upholds a consistent coding style among various team members.	It might not propose the optimal or most idiomatic code for your specific problem.
Improves the efficiency of the code review process and assists new team members.	Requires significant memory or CPU storage.

Pricing:

• Free
• The pro tier costs at $12 per user/ month which include VPC and secure SaaS.

7. CodeWP

CodeWP is a generative tool for developers, stands as an AI-powered WordPress code generator designed to expedite website development with increased efficiency. Tailored for WordPress, as well as WooCommerce, PHP, JS, jQuery, and other prevalent plugins. Users can create websites effortlessly with assistance. This eliminates the reliance on costly developers and time-consuming searches on platforms like StackOverflow.

Link: https://codewp.ai/

Features:

• Producing code snippets and plugins for WordPress through intuitive language prompts.
• Saving, exporting, and sharing code snippets with fellow users
• Elevating your WordPress workflow and efficiency

Pros	Cons
AI-Enhanced Productivity	Prerequisite knowledge of WordPress development may be necessary
Export, and Sharing options are available	Occasional manual code adjustments may be needed.
WordPress-Optimized AI Training	Constrained by the capabilities of the underlying AI.
Rich Repository of Snippets and Solutions

Pricing:

• Free
• Pro plan costs for $12 per month which gives access to 12 trained AI modes.
• Agency Plan costs for $35 per month.

Comparison

Here is a table that compares AI-generative programs for developers:

S. No.	Tool Name	Uses	Technology Used	Free Version Available or Not?
1	ChatGPT	Chatbot, Content Generation	Generative Pre-trained Transformer	Yes
2	Auto GPT	Develop software and Debug codes	NLP and Machine Learning	Yes
3	GitHub Copilot	Code Generation	Generative Pre-trained Transformer	No
4	Amazon Code Whisperer	Code Generation	Large Language Model (LLM)	Yes
5	Google Bard	Different language based coding	Large Language Models	Yes
6	Tabnine	Code completion	Large Language Models	Yes
7	CodeWP	Generate code for WordPress plugins	PHP hypertext preprocessor	No

How is Generative AI used in Software Development?

The Generative AI tools enables to generate code snippets. The repository of snippets and solutions expands, allowing users to save, export, and share the generated code snippets. There are automated suggestions IDE (integrated development environment) and document generation. Then moves on to bug detection process for fixing with testing data. The design of the code improves algorithms and a software is created.

Conclusion

These days Generative AI tools for developers are playing important role in saving time and working efficiently. Many cons have been developed and reduced, while some are still under progress. This marks to digitization at peak before and after 20th century. From generating initial codes, proving root cause analysis, code corrections, generative AI has proved itself in all fields and becomes important tool and invention.

Generative AI Tools for Developers – FAQs

How does a Generative AI model works for people?

It works on commands which are granted by humans and has such an application to read and generate text with relevant data. It also uses neural networks GANS and GPT for datasets.

What can be the applications for Generative AI?

The applications include generation of text, data, coding and simplifying coding, image synthesis etc for content creation.

What are involved ethical norms with AI?

There shall not be any misconduct or leak of personal information. The generative AI is supposed to investigate areas of fake, misuse, and misinformation.

How is Generative AI different from other AI models?

Generative AI highly focuses on generation and content creation while other AI models are working for predicting labels.