Coding Artificial Intelligence: The Top 25 Best AI Coding Tools in 2024

What Are AI Coding Tools?

AI coding tools are advanced artificial intelligence systems that allow programmers to generate code. Also called AI coding assistants, these AI tools offer code generation and intelligent code completion capabilities. Most AI code tools also possess code explanation and code-to-code translation features.

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What Is the Best AI for a Coder?

The best AI for a coder depends on which of the various programming languages will be used. The available features of an AI coding assistant will also determine whether it is the right tool for a coder. AI-powered code completion and real-time code explanations represent two of the most popular features that coders look for when choosing an AI code generator. 

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How to Generate Code With an AI Code Completion Tool

To generate code with an AI code completion tool, the user must create code and upload it. The user must provide a natural language description of the final code they wish to generate. Then, the AI coder writer will then analyze code quality and start generating code snippets to complete the program.

The Top 25 Best AI Coding Tools for Developers

Explore some of the best AI coding assistants for code generation and completion. Finding the right AI tools will depend on several factors, such as price, usability, and programming language. Some of the best AI models for coding include:

• Cerebro SAP AI Code Assist
• Github Copilot
• ChatGPT
• Claude
• Cody

Find the top 25 best AI for writing code below (in no particular order).

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1. Cerebro SAP AI Code Assist

We may be a tad biased, but we believe Cerebro SAP AI Code Assist is the best AI code generator on the market for SAP ABAP. Cerebro SAP AI Code Assist optimizes SAP ERP development, reducing costs by 40% and boosting productivity by 70%. This GenAI solution leverages Azure Open AI and large language models to generate FDS, TDS, ABAP code for WRICEF objects, and test scripts. 

It provides context-aware coding suggestions with explanations, integrating human-in-the-loop features for optimal refinement. Tailored for the SAP ecosystem and ABAP, it accelerates development cycles, minimizes errors, and enhances code quality. The tool generates error-free snippets, performs real-time code completion, detects vulnerabilities, and facilitates annotation, enabling developers to focus on strategic initiatives while producing high-caliber SAP software.

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2. Github Copilot

GitHub Copilot leverages extensive public code repositories to generate accurate, context-aware code suggestions. It implements error detection and correction algorithms to improve code quality. Developers activate Copilot via IDE-specific extensions, integrating seamlessly with VS Code, Neovim, and JetBrains environments.

This AI tool, utilized by over one million developers and 20,000 organizations, significantly accelerates software development through advanced auto-completion functionalities. Copilot's widespread adoption and compatibility across multiple IDEs underscore its efficacy in boosting developer productivity and streamlining the coding process.

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3. Tabnine

Tabnine employs deep learning algorithms to deliver context-aware code completion across multiple programming languages, including Java, Python, and C++. This open-source tool, utilized by tech giants like Facebook and Google, synthesizes open-source data with proprietary user contributions to train its machine learning model.

Tabnine's AI engine analyzes code context to suggest optimal completions, accelerating development and enhancing code quality. Supporting over 25 programming languages, it offers precise predictions, significantly boosting developer productivity. Tabnine's sophisticated AI capabilities enable rapid generation of bug-free code quickly.

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4. ChatGPT

ChatGPT, powered by OpenAI's advanced language models, generates code in multiple programming languages. This AI system interprets natural language inputs to produce complete code snippets or entire programs. It implements sophisticated algorithms for code explanation, debugging, and optimization.

The ChatGPT-4o variant, leveraging GPT-4 Turbo's architecture, achieves enhanced efficiency with 50% reduced computational costs and doubled processing speed. This iteration maintains GPT-4 Turbo's cognitive abilities while significantly improving performance metrics, establishing a new benchmark in AI-assisted programming and code generation.

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5. Codiga

Codiga implements advanced static analysis algorithms to promote code security and efficiency across multiple languages, including JavaScript, Python, and Kotlin. It executes real-time vulnerability scanning and incorporates an automated fix mechanism. The platform integrates intelligent code completion, optimization, and refactoring functionalities, leveraging context-aware suggestions to increase developer productivity.

Codiga's comprehensive toolkit has static analysis, linting, automated code reviews, and refactoring capabilities. Supporting various IDEs and version control systems, Codiga's multilingual support and integration flexibility position it as a versatile, high-performance static analysis and code optimization solution.

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6. AlphaCode

DeepMind's AlphaCode, a Google-backed AI code generator, uses advanced machine learning algorithms to access and synthesize source code from various language libraries. This system integrates thousands of pre-existing libraries, facilitating rapid API integration and utilization.

AlphaCode's sophisticated architecture enables efficient code synthesis and library interconnection, streamlining development processes. AlphaCode's potential to revolutionize coding practices through its comprehensive library access and intelligent code generation capabilities makes it a significant advancement in AI-assisted software development.

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7. Polycoder

Polycoder, an open-source AI model, utilizes a 249 GB multi-language codebase to generate code. This system uses advanced natural language processing and machine learning algorithms to synthesize code for web applications, ML models, and NLP tasks.

Polycoder's architecture, trained on 12 programming languages, allows for rapid code generation and versatile application development. Its open-source nature facilitates community-driven improvements and customization. Polycoder's efficiency in code synthesis and its broad language support attract users looking for a compelling alternative to proprietary solutions.

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8. Otter.ai

Otter.ai employs advanced speech recognition algorithms and natural language processing to generate accurate, real-time meeting transcriptions. It uses speaker diarization technology to attribute dialogue to specific individuals. The platform also integrates a robust search functionality, enabling efficient keyword and phrase retrieval. 

Otter.ai's collaborative features facilitate transcript sharing and team interactions. While not a dedicated coding tool, its AI-powered transcription abilities prove invaluable for development teams, improving documentation of code reviews, brainstorming sessions, and decision-making processes. The system automates meeting summary generation and produces searchable, indexed transcripts for streamlined reference and analysis.

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9. Claude

Claude 3.5 Sonnet, Anthropic's latest NLP model, leans on advanced transformer architecture for better token processing and performance optimization. It demonstrates superior agentic coding capabilities, solving 64% of problems compared to Claude 3 Opus's 38%. The model's 100K token input capacity allows for comprehensive analysis of extensive technical documentation.

‍Claude 3.5 Sonnet excels at bug fixing, functionality improvement, and code translation across multiple languages. Its sophisticated reasoning algorithms enable autonomous code writing, editing, and execution. The model's proficiency in context comprehension and coherent code generation, coupled with its explanatory abilities, make it a powerful tool for code development and legacy system modernization.

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10. Amazon CodeWhisperer

Amazon's CodeWhisperer leverages advanced AI algorithms for real-time code suggestions and generation. It utilizes sophisticated pattern recognition to identify potential open-source code matches for efficient code review processes. The system integrates proactive security scanning mechanisms to detect vulnerabilities and propose immediate patching solutions.

CodeWhisperer's AI engine generates context-aware code snippets, completes functions, and automates documentation creation. It employs natural language processing for intelligent function completion and incorporates OWASP guidelines for security-optimized code generation. The tool's multi-language support and seamless IDE integration demonstrate its versatility.

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11. Codium

CodiumAI employs the latest machine learning algorithms to increase coding efficiency. It performs context-aware code analysis for precise suggestions, including docstring generation and exception handling optimization. The system uses natural language processing for in-depth code explanation and automated test generation.

CodiumAI's behavior coverage feature leverages AI to create comprehensive test cases and apply related source code modifications. It integrates version control systems for streamlined collaboration and uses an intelligent auto-completion agent for seamless task execution. Supporting multiple languages and IDEs, CodiumAI's architecture promotes adaptability, improves quality, and increases developer productivity.

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12. Cody

Cody, Sourcegraph's cutting-edge AI coding assistant, provides extensive support across entire codebases, not just individual files. It comprehends project-wide context, autonomously writes consistent code, and offers detailed explanations. 

Key functionalities include answering complex queries, identifying specific components, and suggesting fixes for potential issues. Cody ensures code generation adheres to project conventions, improving overall development efficiency and accuracy.

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13. Visual Copilot

Visual Copilot, an AI-enhanced Figma-to-code toolchain, employs advanced AI models and the open-source Mitosis compiler to convert flat designs into structured code hierarchies, optimized by a large language model for framework and styling preferences. 

One of the key functionalities involves converting Figma designs to code across multiple frameworks, including React, React Native, Svelte, Angular, Vue, Qwik, Solid, and HTML. It also generates responsive layouts with various styling libraries, such as CSS, Emotion, Tailwind, and Styled Components. Visual Copilot supports component mapping for design system integration and offers real-time conversion and code customization options.

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14. Snyk

As a cloud-based, AI-powered security platform, Snyk leverages machine learning and dynamic and static analyses to identify security vulnerabilities and open-source license-compliance issues in code and dependencies. 

Integrating seamlessly with development workflows, Snyk provides real-time alerts, automated fix suggestions, and detailed explanations for each issue. It supports popular IDEs, CI/CD pipelines, and container registries. Snyk expanded its AI-powered code analysis capabilities through the 2020 acquisition of DeepCode.

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15. WPCode

WPCode, developed by Isotropic, is an AI-powered WordPress code generator designed to assist both developers and non-technical users in rapidly producing high-quality code snippets. 

It supports multiple programming languages, including HTML, CSS, Java, and Python code. Additionally, WPCode features AI assistants that offer suggestions for improving code snippets, streamlining the coding process for WordPress creators.

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16. AskCodi

AskCodi is an AI-powered code generator designed to increase development efficiency by providing a comprehensive suite of tools for faster project completion. It aids in generating optimized code blocks with few errors, suitable for web and mobile applications. 

AskCodi supports multiple programming languages, including Python, Java, TypeScript, Ruby, Rust, Scala, and Kotlin. It answers programming queries in natural language, helps troubleshoot code problems, and offers code suggestions to minimize errors and save time. Integrated with various IDEs like Visual Studio Code, PyCharm, and IntelliJ IDEA, AskCodi provides seamless in-IDE support for generating code and resolving programming issues.

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17. Visual Studio Code

Visual Studio IntelliCode, a Microsoft extension for Visual Studio Code, increases developer productivity through AI-assisted development. It provides intelligent IntelliSense completions, reducing time spent on code navigation and debugging. 

While VS Code itself is a free, open-source IDE supporting numerous programming languages, its marketplace offers extensive AI coding tools via extensions, including GitHub Copilot and GitHub Copilot Chat. These integrations deliver a customizable AI-enhanced coding experience backed by a large community and frequent updates.

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18. Smol Developer

Smol has an open-source AI agent that functions as a virtual junior developer, autonomously generating comprehensive codebases from user-defined product specifications. This system transcends traditional static starter templates by dynamically constructing various application types based on custom requirements. 

The codebase uses minimalist architecture, prioritizing simplicity, security, and compact design. This approach optimizes comprehensibility and customization while adhering to ethical AI development principles of fairness and transparency.

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19. AIXcoder

Next on our list of AI code generators is AIXcoder, an AI-driven programming assistant that helps development teams write code for languages including Java, JavaScript, and Python. It offers advanced features like automated routine tasks, AI-powered code completion, and real-time code analysis. Additionally, AIXcoder performs error checks during typing, increasing coding accuracy and efficiency.

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20. PyCharm

PyCharm, developed by JetBrains, is an AI-driven code completion tool offering intelligent coding assistance for languages such as Java, JavaScript, Python. Renowned for its accuracy, PyCharm lifts developer productivity by providing tailored suggestions and reducing time spent on coding tasks. This tool supports a wide range of programming languages and significantly streamlines the coding process.

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21. Pieces for Developers

Pieces is a premium AI tool for software development that promotes efficiency and collaboration by helping developers save, search, reference, enrich, and reuse code snippets in a structured manner. It integrates a centralized AI copilot, available through a desktop application and plugins for browsers, IDEs, and collaboration tools. 

Pieces can use cloud-based large language models like Gemini and GPT-4 or local LLMs like Llama 2 and Mistral AI, providing personalized assistance through retrieval-augmented generation and multi-modal functionality. It supports code extraction from screenshots and offers secure, offline-first data handling. Pieces is also noted for its comprehensive free access, and its AI-powered search capabilities, which facilitate faster retrieval of coding materials.

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22. Replit Ghostwriter

Replit AI uses cutting-edge machine learning algorithms to provide context-aware code completion, enhancing developer productivity. The system dynamically generates inline suggestions, optimizing coding efficiency. Developers can fine-tune outputs via comment-based directives and prompt engineering techniques. 

The AI's functionality can be toggled within the IDE's configuration, allowing for a customized development environment. This advanced tool supports multiple programming paradigms in 16 languages, with particular efficacy in JavaScript and Python ecosystems.

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23. Gemini

Gemini employs advanced natural language processing to facilitate programming tasks in 20+ languages, including C++, Go, Python, TypeScript, Java, and JavaScript. It generates, debugs, and elucidates code with high precision. The system seamlessly integrates with Google Colab, enabling direct Python code exportation without manual intervention. 

Additionally, Gemini's capabilities extend to Google Sheets, enhancing spreadsheet automation. This multifaceted tool optimizes software development workflows, leveraging AI to boost programmer productivity and code quality.

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24. Code Llama

Code Llama incorporates the Llama 3.1 architecture to deliver specialized coding models. It has general-purpose, Python-specific, and instruction-based variants, each optimized for distinct programming paradigms. The models scale from 7B to 34B parameters, processing up to 16k tokens with extended capabilities for 100k token inputs. 

Smaller variants integrate content-based infilling functionality. This suite of models employs advanced natural language processing techniques to facilitate software development tasks, improving code generation and comprehension across multiple programming contexts.

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25. Codestral

Codestral, Mistral's inaugural code-centric model, leverages advanced natural language processing to facilitate multilingual code generation across 80+ programming languages. This 22B-parameter open-weight model employs a shared instruction and completion API endpoint, enabling sophisticated developer-AI interactions. 

Codestral's bilingual proficiency in code and natural language eases the development of advanced software engineering applications. The model, available under Mistral AI's Non-Production License, can be accessed via HuggingFace. A subsequent release, Codestral Mamba, offers enhanced testing capabilities under the Apache 2.0 license, complementing the commercially licensed Codestral 22B.

Try One of the Best AI Coding Tools: Cerebro SAP AI Code Assist

Now that you know the best AI code writers, speed up your SAP ERP software development lifecycle with Cerebro SAP AI Code Assist. Our ABAP AI coding tool cuts SDLC costs by up to 40%. Book a free demo, request a free trial online or call us at (469) 864 6370 today!