AI code gen­er­a­tors help you create error-free code and detect potential issues. While the best tools deliver im­pres­sive results, a human review is always necessary.

What is AI code gen­er­a­tion?

AI code gen­er­a­tors use ar­ti­fi­cial in­tel­li­gence (AI) to au­tonomous­ly program software or translate existing code. They can also be used for doc­u­ment­ing in­di­vid­ual pro­gram­ming steps as well as various support tasks, such as searching for pre­vi­ous­ly used code snippets.

Another aspect of AI code gen­er­a­tion involves the automated trans­la­tion of natural language into code. The goal of these tools is to simplify the creation of code and assist pro­gram­mers in their work. By taking over time-consuming tasks, the ef­fec­tive­ness and, therefore, the security of pro­gram­ming can be enhanced.

Not every tool can be used for every pro­gram­ming language. Which options can be used depends on their structure. For example, there are AI code gen­er­a­tors for Python, Java, Type­Script, PHP or a mixture of all these pro­gram­ming languages. Users should primarily view AI code gen­er­a­tors as a tool for simple tasks and an exciting glimpse into the future. The programs are not meant to fully take over the work but rather to make it easier.

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The best AI code gen­er­a­tors on the market

Which AI code generator is best suited for your work largely depends on your re­quire­ments and needs. Tools that are par­tic­u­lar­ly effective are those trained carefully with large datasets. The AI code gen­er­a­tors presented below are among the best options currently available on the market.

AI code generator Price
GitHub Copilot from $10 per month
ChatGPT free / from $20 per month
Amazon Q Developer free of charge / from $20 per month
CodePal free of charge / from $15 per month
Tabnine free of charge / from $12 per month

GitHub Copilot

The name Copilot reflects GitHub’s AI code generator’s approach to sup­port­ing pro­gram­mers by assisting during the creation of code. The tool primarily suggests lines of code and sometimes entire blocks of code for automatic com­ple­tion, and can also generate comments and doc­u­men­ta­tion. Trained on billions of lines of code from official GitHub repos­i­to­ries, Copilot excels in finding solutions to complex problems and iden­ti­fy­ing errors early on. Ad­di­tion­al­ly, it leverages machine learning models to adapt to your code style. The longer you use the tool, the more precise its sug­ges­tions become.

Image: GitHub Copilot screenshot
GitHub Copilot: Screen­shot from the official project page (Source: https://github.com/features/copilot)

Although the sug­ges­tions made by GitHub Copilot are already very promising and quite im­pres­sive, there are moments when it becomes clear that the tool is still in its learning phase. Not all sug­ges­tions are truly helpful, as some are simply as­sump­tions without solid sources. Ad­di­tion­al­ly, there are concerns about copyright, as the AI code generator learns from public repos­i­to­ries and reuses what it has learned without ver­i­fi­ca­tion. GitHub Copilot plans start at $10 per month, with a free trial month available.

Ad­van­tages Dis­ad­van­tages
Supports many pro­gram­ming languages Copyright concerns
Adapts to users No free edition

ChatGPT

ChatGPT from OpenAI is perhaps the best-known AI chatbot in the world. Since version 4, the program also works as a reliable AI code generator for Java, Python and other pro­gram­ming languages. The principle is similar to other tasks performed by the bot. Based on a huge amount of data, it answers questions, makes sug­ges­tions, points out errors, completes code and performs other tasks. The AI code generator can even write new code.

Image: OpenAI website: ChatGPT code example
Website from the official OpenAI website with sample ChatGPT code prompt (Source: https://openai.com/index/chatgpt/)

The quality of results varies. For simple tasks and as an AI code generator for Python, the responses are promising. However, when the data set is less extensive, it can lead to in­com­plete in­for­ma­tion and logic errors, which may raise security concerns. Therefore, it’s better suited for pro­fes­sion­als. There is a free version of ChatGPT with limited features, while paid sub­scrip­tions with ad­di­tion­al features start at $20 per month.

Ad­van­tages Dis­ad­van­tages
Free to use (limited) Security and privacy concerns
Very reliable code debugging Accuracy decreases with code com­plex­i­ty
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Amazon Q Developer

Amazon Q Developer from Amazon supports more than 15 pro­gram­ming languages and can detect security vul­ner­a­bil­i­ties. The tool provides real-time code sug­ges­tions. This AI code generator has been trained on billions of lines of code and continues to learn. It handles time-consuming tasks during de­vel­op­ment and can be trained in specif­i­cal­ly chosen best practices, making its sug­ges­tions more accurate and relevant.

Image: Website screenshot: Amazon Q Developer
Amazon Q Developer: Screen­shot from the official project page in the AWS developer area (Source: https://aws.amazon.com/q/developer/)

Amazon Q Developer is also in the learning phase and, therefore, does not always provide accurate sug­ges­tions. All inputs should be carefully reviewed for func­tion­al­i­ty and data privacy. The tool sometimes pulls code lines from open sources and stores them on its own platform. Amazon’s AI code generator is free for in­di­vid­u­als (with limited func­tion­al­i­ty), while the Pro plan costs $20 per user per month.

Ad­van­tages Dis­ad­van­tages
Versatile pro­gram­ming language support Privacy concerns
Un­com­pli­cat­ed con­nec­tion to all AWS services Sometimes uses outdated libraries

CodePal

CodePal is an AI code generator primarily designed for beginners due to its intuitive interface. It offers around 30 different tools and supports an equal number of pro­gram­ming languages. The program can complete code based on previous input or generate it from scratch using voice commands. It can also create unit tests and analyses to help optimize the code. CodePal has a starter plan that is com­plete­ly free but offers only limited func­tion­al­i­ty.

Image: Screenshot from the CodePal website
You can see the intuitive interface of the CodePal code generator on the homepage (Source: https://codepal.ai/)

The quality of sug­ges­tions from this AI code generator varies depending on the com­plex­i­ty of the task and the prior training. In­ac­cu­rate inputs can affect func­tion­al­i­ty, and the tool does not always select the most logical solution. The data privacy concerns that apply to most AI code gen­er­a­tors also affect CodePal. Ad­di­tion­al­ly, some important features, such as API access, are only available with a paid sub­scrip­tion.

Ad­van­tages Dis­ad­van­tages
Great language support Privacy concerns
Numerous ad­di­tion­al code tools available Code ac­tiv­i­ties in the free plan are published

Tabnine

Tabnine takes a slightly different approach from other AI code gen­er­a­tors. While it also assists with code com­ple­tion and improves results through deep learning, it places a strong emphasis on security and data pro­tec­tion. One notable feature is the isolated mode, which allows the tool to be hosted in a private cloud or another secure en­vi­ron­ment, ensuring that the code remains protected. Tabnine supports more than 20 pro­gram­ming languages and is com­pat­i­ble across platforms.

Image: Tabnine: Website screenshot
Screen­shot from the official Tabnine website with code generator example (Source: https://www.tabnine.com/)

Un­for­tu­nate­ly, even this AI code generator does not always provide optimal sug­ges­tions. Ad­di­tion­al­ly, the tool requires a lot of computing power. It’s only partially suitable for beginners, as many aspects need to be con­sid­ered and verified. When dealing with overly complex syntax, Tabnine often reaches its limits. There’s a free basic version, and pro­fes­sion­al plans with expanded features start at ap­prox­i­mate­ly $12 per user.

Ad­van­tages Dis­ad­van­tages
Focus on data pro­tec­tion and security Can be very resource-intensive
Supports many pro­gram­ming languages
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