AI Code Generation Tools
Best AI Code Generation Tools include:
GitHub Copilot, IBM watsonx Code Assistant for Red Hat Ansible Lightspeed, Serenade.ai and IBM watsonx Code Assistant for Z.
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OpenAI offers ChatGPT, an advanced general intelligence (AGI) chatbot which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT…
Serenade.ai is an AI code generation tool that offers code with voice functionality, enabling users to write code using natural speech. Serenade's speech-to-code engine is designed for developers from the ground up and fully open-source.
IBM watsonxâ„¢ Code Assistant for Z is a generative AI-assisted product built to accelerate mainframe application modernization at lower cost and with less risk than today’s alternatives. This product provides an end-to-end application developer lifecycle that includes application…
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GitHub Copilot is presented as an AI pair programmer, that plugs into the user's editor. It then turns natural language prompts into code, offers multi-line function suggestions, speeds up test generation, filters out common vulnerable coding patterns, and blocks suggestions matching…
Mutable.ai for codebases helps software developers by using AI codegen to create features, or refactor multiple files. It also offers AI enhanced explanation and search to understand any codebase, suggested improvements to code and squash bugs, progress reports generated automatically…
BFF AI features: 1- Chatting with an AI Expert: For assistance with a tricky problem or brainstorming ideas, BFF AI can serve as a knowledge bot. 2- Creating Content: For writing articles, blog posts, or social media updates, BFF AI helps craft engaging and informative content. 3-…
Bito is a productivity tool for developers that accelerates software development using AI models, like ChatGPT from OpenAI, and Anthropic. Bito’s plugin integrates into a developer’s IDE and CLI, providing access to their personal AI assistant.
algoQA is a testing platform that produces optimal number of test cases written in Gherkin language along with datasets, and executable test scripts. It starts with a simple profiling of an application under test using its Drag & Drop and Wizards. There is no need to write the…
IBM watsonxâ„¢ Code Assistant for Red Hat® Ansible® Lightspeed demystifies the process of Ansible Playbook creation through generative AI-powered content recommendations. Purpose-built to accelerate IT Automation, the product is designed to deliver automation content recommendations…
An open source large language model, from Meta. Llama 2 was pretrained on publicly available online data sources. The fine-tuned, pre-trained model, Llama Chat, leverages publicly available instruction datasets and over 1 million human annotations.
Tabnine’s AI code completion assistant automates repetitive work and eliminates the need for time-consuming code searches.
CodePal is a an AI based coding generator. Additional code helpers through CodePal include debuggers, refactor and rephrasors, formula generators, code explainer and code reviewer, and related tools.
AskCodi is made keeping in mind the needs of developers to avoid redundant tasks, therefore resulting in less time spent on development and more time to execute.
Google Gemini (formerly Bard) is an AI chat service, presented as a creative and helpful collaborator. Gemini for Workspace is available via two plans: a Gemini Enterprise add-on, replacing Duet AI for Workspace Enterprise, and a new Gemini Business add-on, at a lower price point,…
Codeium is an AI dev tool that is self-hosted for security, with features including rapid code autocomplete, in-editor AI chat assistant, repo natural language search, end-to-end data encryption.
Amazon CodeWhisperer is an AI coding companion. Trained on billions of lines of code, it can generate code suggestions ranging from snippets to full functions in real time based on comments and existing code. It bypasses time-consuming coding tasks and accelerates building with unfamiliar…
A visual build tool that leverages existing code components and design systems as building blocks so users can to build faster and on brand, able to bring in data from any data source, such as a commerce platform, customer data platform, homegrown system, or another CMS.
Replit, a tool from the company of the same name in San Francisco, gives users an instant IDE to learn, build, collaborate, and host all in one place. Replit enables the user to code from a browser and features GitHub integration, as well as support for nearly every major programming…
Learn More About AI Code Generation Tools
What Are AI Code Generation Tools?
AI code generation tools are used by software developers to analyze, suggest, and write code. They interpret natural-language prompts, then generate blocks of code intended to answer those prompts. These tools aim to accelerate developer productivity by automating repetitive or tedious code tasks, generating first-draft code for iteration and refinement, and suggesting improvements to existing code.
AI code generation products are typically based on large language models (LLMs) that have trained on large datasets of language and code. As a result, these tools can interpret and generate a combination of natural-language instructions and code. Most tools are general-purpose, but some AI code generation tools are tailored to specific use cases, such as game development or web development.
Some AI code generation tools can be further trained on an existing codebase to increase their accuracy and usefulness. Some products can also analyze a codebase to enable natural-language search, highlight code with security vulnerabilities, or flag code that might require an open-source license.
AI Code Generation Tool Features
Most products in the AI code generation tool category have the following features:
- Natural-language prompting
- Code suggestions and autocompletion
- Model fine-tuning
- Natural-language codebase search
- Context-aware code style and naming conventions
- Integrated chatbot for code generation and iteration
- Flags for code with open-source licenses
- Vulnerability scanning
- Support for a wide array of programming languages
- Integration with popular IDEs
AI Code Generation Tools Comparison
Before purchasing an AI code generation tool, consider the following important factors:
Developer Input: Most AI code generation tools do not claim to generate accurate, precise code on their own. Developers will still need to analyze, interpret, debug, and iterate on the code generated by these tools. Non-developer stakeholders should understand that while these tools can increase developer productivity, they are not a replacement for developer expertise.
Specialized Use Cases: Some AI code generation tools are optimized for specific use cases. For example, Amazon CodeWhisperer is a general-usage product, but it’s also tuned specifically to generate API code for other AWS products. If your organization is heavily invested in a specific platform, you could realize more value from an AI code generation tool optimized for that platform. Otherwise, a more platform-agnostic tool might be a better fit.
Customizability: While most AI code generation tools can match the style and conventions of your codebase, some tools allow more customization. They might support training the model on your specific codebase, tuning the underlying model’s parameters, or embedding specific best practices or coding standards into the model. If your organization has a particularly extensive codebase or strict code standards, it might be a good idea to pick a highly customizable product. This customization might not be straightforward, though, so make sure your team is prepared to invest the necessary time and effort.
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Pricing Information
AI code generation tools are generally priced on a tiered per-user per-month subscription model. Pricing can range from $10 to $25 per user per month, with many vendors offering free versions of their product for individual users. Some products offer custom quotes for enterprise customers.
Lower-priced tiers typically include core functionality like manual, prompt-based code generation and autocompletion. Features like model tuning and security scanning are often restricted to higher tiers.