Best AI Coding Tools for Developers (AI-Powered Code Generators)

Level up your programming game with the top-notch AI coding tools. Compare the prominent AI code generators to pick the right AI tool for coding to boost code quality:

With the revolutionary change of artificial intelligence, the way software developers and engineers work has completely changed. Writing code, debugging, interacting with projects, and even running projects have entirely changed the software development cycle.

In this article, we are going to review some AI tools used in programming. From code assistance to project management, version control, testing, and mobile development, AI tools are becoming game-changers.

AI Code Generators: Market Trends

In this article, we discussed the best AI tool for coding, including paid and non-paid options. These AI code writer tools make programmers’ lives easy. They help automate repetitive tasks and complex problems. By reducing errors, minimizing mistakes, and giving suggestions, coders’ productivity will increase.

How AI-powered software development tools are transforming SDLC? Here is the video that will explain Why teams are adopting AI for software development, and how SDLC is changed with the adoption of AI

What is an AI Coding Assistant

Leveraging artificial intelligence, the developers can write code, debug it, and optimize the code. With the help of an AI coding assistant, documentation, code refactoring, error detection, and real-time suggestions can be improved.

Through AI code generator assistance, common mistakes while writing the code, such as missing brackets and semicolons, can be identified and rectified.

What are the benefits of AI tools for coding?

For increasing productivity, improving code quality, faster debugging, better collaboration, streamlined workflow, and contextual relevant code suggestions, AI tools for coding are providing good assistance to the developers and coders. It eases their work and saves them time.

How to select an AI tool for coding?

You can select the AI tool for coding based on code security, data privacy, advanced security, and features. The cost of AI tools varies from free tiers to basic and paid plans. Paid plans need to be selected to leverage advanced features and maximize usage. Users should train the selected tool on a vast array of existing codes.

Challenges with AI Coding Tools

Reliability, quality of code, lack of context, and ethical and legal implications are some of the main challenges with AI coding tools. AI can help generate the code snippet. However, it needs to be checked whether the code is functional, optimal, and secure enough to use.

List of the Best AI Coding Tools

Consider this popular list of tools:

• Codeium
• Tabnine
• Amazon Q Developer
• AskCodi
• Open AI Codex
• Github Co-Pilot
• ChatGPT
• IBM Watsonx Code Assistant
• AlphaCode
• DeepCode

Comparing the Top AI Tools for Coding

Detailed review:

Codeium

Best for Python memorization and building maths libraries, Codeium offers a best-in-class AI coding experience.

Millions of developers are using Codeium for auto-encoding and encryption while transitioning. For both on-premises and VPC, deployment options are available through SaaS (Software As A Service) and self-hosting methodologies. Leveraging the Codeium team, priority support is given to the users through a shared channel.

Features:

• Chat: Codeium has the leading reasoning engine for refactoring coding, bug fixing, explaining code, and generating boilerplate. Optimized for the coding workflow and powered by the largest models, Codeium is used by millions of engineers.
• Autocomplete: Around 50% of newly generated code is written by Codeium. It helps in saving time and the products can be sold at a higher speed.
• Command: For performing inline refactors, adding comments, or generating code, Codeium provides instructions to the editor for solving complex problems. It also provides full repository and multi-repository codebases.

Pros:

• AI chat, an intelligent search function, and AI-powered autocomplete are some of the special features of Codeium.
• Through Codeium, any individual, team, or company can get free AI code generation.

Cons:

• While integrating with programming environments, Codeium faces some challenges with compatibility.
• To generate accurate suggestions, Codeium had some limitations with certain programming languages.

Pricing: For individual coders, it is a free platform. There are three more pricing plans, Pro-$10 per month, Teams-$24 per seat per month, and for Enterprise plan you can get a quote.

Website: https://codeium.com/

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Tabnine

Best for keeping code secure, private, and compliant, Tabnine offers a simplified AI coding assistant.

For automating mundane tasks and streamlining code generation, Tabnine helps generate high-code quality. It helps to eliminate repetitive tasks and turn plain text into code.

For faster development of applications, code creation, and document generation, Tabnine is one of the most preferred AI coding platforms used by developers and engineers.

Features:

• Complete Code Privacy: Without explicit permission, the code is never shared nor stored anywhere. It can be deployed on-premises, VPC, or any secured SaaS network.
• Protection from Risk: On permissively licensed code, Tabnine’s models are trained. It comes with compliance and enterprise-grade security. For the entrepreneurs, added protection of indemnification is also provided.
• Highly personalized AI: Based on the code and patterns, Tabnine provides context-aware suggestions. Tabnine supports the most common languages, libraries, and IDEs. Tabnine creates bespoke models by training on the codebase.

Pros:

• With the help of multi-language, Tabnine offers code suggestions in multiple languages.
• It offers enterprise-grade protection and strict license compliance.
• Automatically, unit tests can be run and tested. It assists the developers in catching the issues early.

Cons:

• Languages having complex or dynamic syntax do not work well with Tabnine.
• Specifically, with large files, Tabnine consumes a lot of memory.

Pricing: For individuals, it is free for the first 90 days. For the enterprise, the plan starts from $39 per month for the first year.

Website: https://www.tabnine.com/

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Amazon Q Developer

Best for generating real-time coding suggestions, Amazon Q Developer provides AI-powered assistants for software development.

Based on comments and existing code, Amazon Q Developer provides real-time code suggestions as full-function or snippets. For analyzing the bills, reviewing the resources, and exploring new AWS capabilities, Amazon Q Developer is an expert in AWS architecture, solution implementation, documentation, patterns, and many more things.

It also helps diagnose errors in the console, manage infrastructure faster, and fix network connectivity problems.

Features:

• Improvised Reliability: For optimizing code, scanning for vulnerabilities, and writing unit tests, Amazon Q will help in fixing the code. For most of the popular programming languages, Amazon Q provides security scanning.
• Optimized and Operative Through Chat: With the help of a natural language prompt, easily diagnose errors in the console. It even helps pick the right instance of the job. Apart from it, the network connectivity problems can also be resolved through it.
• Customized Code Recommendations: By securely connecting the private repository to Amazon Q developer, relevant code recommendations can be generated. It helps understand the internal code base faster.

Pros:

• It can scan the vulnerabilities in code and fix the problems.
• For completing lines of codes and doc strings, it is highly useful.

Cons:

• For some use cases, it can’t generate full-functions. It will revert suggestions only by line-to-line.
• With the limitation of API, Amazon Q developers can only retrieve a maximum of 100 pages.

Pricing: Amazon Q Developer offers a free tier. The Pro Tier costs $19 per month per user.

Website: https://aws.amazon.com/q/developer/

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AskCodi

Best for code generation, code refactoring, and code fixing AskCodi increases productivity.

Leveraging AskCodi, complex coding tasks can be turned into a smooth and manageable process. With the help of the CI/CD pipeline writer tool, the software process can be accelerated. For automating the design and configuration, it enables developers to automate the process for smooth and reliable software release.

Using the Code Refactor App, the existing code can be re-factorized to increase efficiency, performance, and maintenance. Adjacently, using the language translator tool, a distinct programming language code can be translated effortlessly.

Features:

• Code Fixer: With the help of the Code Fixer application, the stability of the code can be improved. Through this tool, syntax errors and logical issues in the code can be resolved.
• Regex Generator: For advanced text processing and validation tasks, the Regex generator helps in creating complex regex patterns. With the help of a Regex generator, regular expressions can be precisely crafted.
• Language Translator: Leveraging a language translator tool, the code can be translated between different programming languages. This utility can help convert the code base into a new language.

Pros:

• To reduce the consumption time in redundant tasks, AskCodi assists in less time to execute.
• It is easy to understand the UI and work.

Cons:

• There is more use of AI-based functionality.
• For the chat functionality, there is a need for an edge extension that makes it easy to use.

Pricing: The pricing plan starts from free, ultimate, and premium. For the Ultimate plan, pricing is $34.99 per month and for premium, it starts from $14.99 per month.

Website: https://www.askcodi.com/

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Open AI Codex

Best for translating the natural language into coding, Open AI Codex is an artificial intelligence model

Leveraging Open AI Codex, translating natural language to coding, and releasing through API can be done.

Open AI Codex is a general-purpose programming model. For any task, such as refactoring code, explaining code, and transpilation, Open AI Codex can be applied to any programming task. Open AI codex is a descendant of GPT-3.

The Open AI codex training data consists of billions of source line codes and natural language from publicly available sources. In languages such as Shell, PHP, Ruby, Swift, TypeScript, Javascript, Ruby, and Python, the Open AI codex is capable and proficient enough.

Features:

• Proficient in Multiple Programming Languages: Being proficient in a dozen programming languages, Codex can interpret simple commands in natural language. It can also execute the code based on the user.
• Empowers Computer: Having an understanding of GPT-3, it produces a working code. It can issue commands in English to the software with the help of API.
• Enhanced Memory: With a 14kb memory for the Python code, it can take 3x more contextual information as compared to GPT-3 while performing any task.

Pros:

• The repetitive tasks such as simplifying documents, slideshow, and data analysis tasks can be automated.
• To increase the quality of code, Codex AI can train the models.

Cons:

• Not able to support every programming language.
• Human knowledge is needed to check the accuracy of the code.

Pricing: You can check the detailed pricing for various models on their site.

Website: https://openai.com/index/openai-codex/

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Github Co-Pilot

Best for turning natural language prompts into coding suggestions, Github provides code completion as per the project style.

For driving an impact, focus, and coding faster, Github Co-Pilot offers great software. For building better outcomes, collaborating effectively, and doing coding faster, personalized and natural language recommendations are provided through GitHub Pilot.

From the codebase, you can ask specific or programming questions. It helps in improving the legacy code. For enforcing code consistency, accelerating the speed, and removing barriers, GitHub Copilot, Codespaces, and custom API integrations can be done.

Features:

• Improvised Code Quality: While authoring code with Github Copilot, developers feel more confident about the quality of code. With the help of a vulnerability prevention system, the insecure coding patterns get blocked.
• Tailored Solutions: As per the problem, tailored solutions are offered by GitHub. It reduces the time for learning and searching. With the help of inline citations, the organization database can be updated.
• AI-Based suggestions: Based on the project’s context and style conventions, Github Copilot provides code suggestions. It also turns the natural language prompts into coding suggestions.

Pros:

• Streamlined Documentation: On a range of Git-related topics, Github offers excellent documentation for developers.
• Integration Capabilities: With popular platforms such as Google Cloud and Amazon, it integrates seamlessly. For over 200 programming languages, it provides syntax highlighting.
• Showcasing the work: For developers, it is a good way to showcase the work to recruiters. Many organizations are directly looking into the GitHub profile at the time of recruitment.

Cons:

• Limited Privacy: By using public repositories, the code is visible to everyone. For the project, confidentiality is not a good practice.
• Dependency on External Service: Github relies on external infrastructure and internet connections. During downtime, access to repositories and collaboration features can be hindered.
• Difficulties with large Repositories: While handling large repositories, there can be performance issues. Fetching, cloning, or searching can be time-consuming and require a lot of resources.

Pricing: GitHub Copilot’s Free, Team, and Enterprise are some of the most popular packages used by individual freelancers and organizations. The cost of the Team plan is $4 per user per month and the Enterprise plan is $21 per user per month.

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

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ChatGPT

Best for interacting conversationally, ChatGPT offers answers to follow-up questions, challenges with incorrect premises, and rejection of inappropriate requests.

Leveraging Reinforcement Learning from Human Feedback (RLHF), training of the ChatGPT model has been done. Using supervised fine-tuning, the model is trained on both sides – the user and the AI assistant.

With the help of trainers’ access, it provides models the access to compose answers. Mixing the new dialogue dataset with the InstructGPT dataset created it in a dialogue format.

Functionality Features:

• ChatGPT is sensitive to the input phrasing or to attempting the same prompt multiple times. The ChatGPT model can claim to know the answer or it can completely deny.
• Proximal Policy Optimization: By collecting the data, sampled with several alternative competitions, several iterations can be done for fine-tuning the model.
• Moderation API: For blocking unsafe content or for warning, moderation API are used. Leveraging these APIs, the model can refuse to answer inappropriate requests or harmful instructions.

Pros:

• For managing repetitive tasks: For drafting emails, internal research, and job descriptions, ChatGPT can automate these repetitive tasks. By standardizing this process, it reduces human effort in terms of time and labor spent.
• Quick Customer Service: Leveraging scheduled emails, automated responses, and developing personalized strategies are some of the excellent uses of ChatGPT.
• Highly Versatile: Leveraging ChatGPT, computer programs can be written and debugged. For translating information, developing outlines, and composing stories, ChatGPT can perform a dozen functions.

Cons:

• Limited Features Capabilities: For emotional support, ChatGPT doesn’t support it. AI does not have critical thinking or logical reasoning capabilities.
• Ethical and legal concerns: The ChatGPT is trained using internet data. Issues related to misinformation and copyrighting can arise. Humans can’t differentiate between discriminatory and biased information.
• Accuracy Issues: There are no citations provided by ChatGPT for the information shared. ChatGPT is trained on the information. Therefore, there are high chance that the information is incorrect.

Pricing: Free, Plus, Team, and Enterprise are the plans offered by ChatGPT. The pricing starts from $20 per month for the team. While for the team, the pricing starts from $25 per month annually.

Website: https://openai.com/index/chatgpt/

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IBM Watsonx Code Assistant

Best for accelerating code generation and increasing developers’ productivity

Being powered by IBM Granite Foundation Models, IBM Watsonx Code Assistant can generate high-quality code using AI-generated recommendations. Based on the principles of trust, security, and compliance, developers and IT operators can rapidly scale the IT environment.

It also assists developers in converting new code with greater efficiency and by reducing cognitive switching.

Key Features:

• Code Modernization: It helps translate the code from one language to another or refactoring the entire code. With the help of natural language requests, new code can be generated with applicable syntax.
• Minimizing the learning curve: Based on existing source code, it helps developers get the best AI code generators based on recommendations. It also empowers the developers to review the code suggestions and match the originated data before accepting.
• Accelerating value and time: It gives access to developers of IBM foundation models. It helps in faster deployment of models and customize it according to the requirements.

Pros:

• For doing repetitive tasks, this tool is good. For instance, updating recordings and managing files and folders.
• Very low code is required with an excellent user interface. It is highly efficient in building chatbots and training them.

Cons:

• While handling queries, the IBM Watsonx Code Assistant tool cannot handle them.
• There is a huge cost of maintenance too.

Pricing: Free version is offered by IBM Watsonx Code Assistant. Starting at $140 per month

Website: https://www.ibm.com/products/watsonx-code-assistant

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AlphaCode

Best for AlphaCode provides transformer-based language models for generating code and setting a new milestone

For solving critical problems, logic, coding, and natural language understanding, AlphaCode has a global rank of 54% of participants in programming competitions. Progress has been achieved by combining advanced large-scale transformer models with extensive sampling and filtering.

Significant progress has been made in solving the problems by pre-training the models on specific Github code and fine-tuning them.

Functionality Features:

• Framework Support: AlphaCode supports the most popular frameworks, such as React and Angular. It also provides pre-components and templates for front-end development tasks.
• Code Generation: AlphaCode can generate code in several programming languages, such as C, C++, Python, and Java. It also provides developers with code-writing suggestions. AlphaCode uses machine learning to analyze code and generate optimized solutions.
• Problem-Solving: Complex programming challenges can be understood through AlphaCode. One can break it down into simpler and easier components to understand.

Pros:

• Enhanced Code Quality: From different languages of libraries, it is a treasure of source code. All the errors in the code can be detected and a corrected version can be generated.
• Accelerating Development Process: Code automation, provides a set of templates for speeding the development process. Through real-time suggestions and automation of repetitive tasks, the programmers can focus on high-level problem-solving.
• Improvised Code Efficiency: Generating optimized code solutions enhances code efficiency. Computational complexity, algorithmic improvements, and reduction in time can be done through AlphaCode.

Cons:

• Quality of Code: AlphaCode relies on code quality and diversity of code. Through the gathered code, the model is trained. Incomplete code or biased data affect the accuracy and reliability of code.
• Incapability to deal with complex problems: In the case of highly complex issues, the patterns may deviate. Human expertise is needed for these types of problems.

Website: https://alphacode.deepmind.com/

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DeepCode

Best for getting the most accurate and fastest SAST market, DeepCode is backed by Synk.

Built on security-specific data, through DeepCode, multiple AI models can be leveraged. From millions of open-source projects, the training data is collected for building specialized DeepCode AI. For developing secured applications, DeepCode provides a hybrid approach for using multiple modes and security-specific training sets.

Functionality Features:

• Simplified Rules: Leveraging the DeepCode AI logic, it is easy to create, run and test the queries.
• Improved Developer Velocity: With the help of DeepCode, developers can quickly review and recommend the right code.
• Hybrid AI: With the combination of distinct machine learning models and symbolic and generative AI, a unique – industrial process can be created that attains a high level of accuracy.

Pros:

• Enhanced Speed: The average time for running a large-size repository is approximately 5 seconds. There are no compilations or lengthy processing required.
• Language Independent: Within a few weeks, a new language can be added. From the development community, it can learn anytime.
• Ease of Integration: DeepCode can quickly integrate with existing Lint tools. It can quickly encode checkers, patterns, and rules from other tools.

Cons:

• Security: As it is open-source, APIs can be misused. It can cause problems such as user-facing problems, performance problems or the code is not good enough.
• Coding Style: There can be differences in writing the code. Right from callback functions to lambdas, there can be issues at the time of code review.

Pricing: DeepCode offers free, team and enterprise plans for solo to complex organizations. A free plan is available for free forever. You can get a quote for the Team and Enterprise plans.

Website: https://snyk.io/platform/deepcode-ai/

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CodeWP

Best for Conversational Chats and Codes for WordPress Developers.

For the latest plugins in WordPress, CodeWP provides access to specialized AI training. Leveraging the Code WP modes, accurate code can be created. It also provides the functionality feature of asking questions and receiving answers. As the AI continuously gets trained, the accuracy gets increased.

A library of AI-generated codes or snippets can be created through CodeWP. For troubleshooting the WordPress website, security scanning, and 24/7 expert AI help, CodeWP enhances the WordPress workflow.

Functionality Features:

• Customized and Prompt Plugin: A prompt plugin helps create new lines, plugins, and snippets simply by describing them. CodeWP provides access to specialized AI training on the latest plugin code examples and documentation.
• Support for PHP, JS, CSS, and SQL: CodeWP supports every language that supports WordPress. As per the industry, CodeWP provides customized AI solutions for all WordPress users.
• Proprietary AI: The AI models are trained to deliver the most secure, modern, simple, and best WordPress code. It provides conversational chat and code support for building, extending, and learning with CodeWP.

Pros:

• Saves Time: On demand, the code snippets are generated. It saves a lot of time for developers to create WP queries and WooCommerce filters.
• Easy to Use: Even for beginners, it is easy to use. The interface is easy to use and intuitive. Also, there is clear documentation that can help developers.

Cons:

• Limited Features: The feature for generating a template is missing in CodeWP. Apart from that, there are many other features that a developer may need.
• Not suitable for all tasks: For complex problems and code, CodeWP is not mature enough to generate complicated codes.

Pricing: CodeWP offers free, pro, and agency packages to consumers. The free plan is a starter plan where you can generate snippets and chat with AI. The pro plan costs $18 per month if billed annually, and the Agency costs $48 per month for annual billing.

Website: https://codewp.ai/

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Frequently Asked Questions

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Conclusion

Depending upon the preference and need, developers can choose the best AI for coding tools. The AI-assisted coding tools have optimized the workflow for streamlining code writing and debugging it into a project. It has significantly contributed by giving a personalized and engaging user experience.

Looking at the future of the software development industry, more efficiency, productivity, precision, and accuracy will be delivered. AI will assist in revolutionizing the IT industry.