Best Artificial Intelligence Software for Visual Studio Code - Page 5

Compare the Top Artificial Intelligence Software that integrates with Visual Studio Code as of November 2025 - Page 5

This a list of Artificial Intelligence software that integrates with Visual Studio Code. Use the filters on the left to add additional filters for products that have integrations with Visual Studio Code. View the products that work with Visual Studio Code in the table below.

  • 1
    EasyCode

    EasyCode

    EasyCode

    EasyCode - AI that understands your codebase. Unblock developers by answering their questions instantly. Get context-aware code suggestions, understand legacy projects, and find the relevant code with ease. Use ChatGPT where you work - inside the IDE. Contextual answers and suggestions that remove friction in developer workflow. Ensure consistent coding style and receive real-time feedback on code quality. Save time from tedious and repetitive work and more time for high impact coding tasks. Facilitate better context and knowledge sharing among team members.
    Starting Price: $10 per month
  • 2
    GPT Pilot

    GPT Pilot

    Pythagora

    GPT Pilot is an open-source AI tool that acts as a full AI developer, capable of generating production-ready applications with minimal human input. Unlike simple code autocompletion tools, GPT Pilot can write complete features, debug code, communicate about issues, and even request code reviews. This tool aims to push the boundaries of AI-assisted software development by handling up to 95% of coding tasks, while leaving the final 5% to developers. It’s built to integrate with platforms like VS Code, enabling developers to collaborate seamlessly with AI in real-time.
    Starting Price: Free
  • 3
    Agentic StarShip
    Agentic StarShip is a comprehensive AI-powered platform developed by OpenCSG to enhance software development efficiency and code quality. It offers a suite of tools designed to automate and streamline various aspects of the development process. One of its key components is CodeSouler, an intelligent coding assistant that integrates seamlessly with popular IDEs like Visual Studio Code and JetBrains. Agentic StarShip provides features such as automatic code commenting, optimization, refactoring, and test case generation. It also facilitates real-time code explanations and Q&A, enabling developers to quickly understand and improve their codebase. The plugin supports right-click context menus and conversation boxes for easy interaction, and it offers operation commands for efficient code manipulation. Another vital feature is SecScan, an AI-driven security scanning tool that performs deep analysis of source code to identify potential vulnerabilities.
  • 4
    Amazon Q Business
    Amazon Q Business is a fully managed, generative AI–powered assistant designed to help employees find information, gain insights, and take action at work. It enables users to interact using natural language to request information, generate content, or create lightweight apps that automate workflows. It provides a unified search experience across systems and data, delivering quick, accurate, and relevant answers to complex questions based on documents, images, audio, and video files, and other application data, with results including citations and references for transparency. Users can interact with Amazon Q Business through its web-based conversational interface in browsers like Microsoft Edge, Google Chrome, and Mozilla Firefox, as well as in applications like Slack, Microsoft Outlook, Word for Microsoft 365, and Microsoft Teams. With Amazon Q Apps, users can automate prompting, content creation, workflows, and tasks by describing requirements in their own words.
    Starting Price: $20 per month
  • 5
    Lingma

    Lingma

    Alibaba

    Lingma is Alibaba Cloud’s AI-powered coding assistant designed to streamline software development. It offers features like real-time code completion at the line or function level, natural-language code generation, and intelligent troubleshooting. Developers can describe requirements in plain language, and Lingma generates corresponding code directly in the editor. It supports over 200 programming languages and provides detailed code explanations with visualized flow charts. Lingma can analyze codebases to generate unit tests, automatically compile and run code, and repair issues to improve test coverage. It also allows users to add images as context, which are analyzed to generate code or provide bug-fixing suggestions based on requirement descriptions. For enterprises, Lingma integrates private data like documents and repositories to enhance model outputs, ensuring alignment with organizational standards.
  • 6
    Thunder Compute

    Thunder Compute

    Thunder Compute

    Thunder Compute is a cloud platform that virtualizes GPUs over TCP, allowing developers to scale from CPU-only machines to GPU clusters with a single command. By tricking computers into thinking they're directly attached to GPUs located elsewhere, Thunder Compute enables CPU-only machines to behave as if they have dedicated GPUs, while the physical GPUs are actually shared among several machines. This approach improves GPU utilization and reduces costs by allowing multiple workloads to run on a single GPU with dynamic memory sharing. Developers can start by building and debugging on a CPU-only machine and then scale to a massive GPU cluster with just one command, eliminating the need for extensive configuration and reducing the costs associated with paying for idle compute resources during development. Thunder Compute offers on-demand access to GPUs like NVIDIA T4, A100 40GB, and A100 80GB, with competitive rates and high-speed networking.
    Starting Price: $0.27 per hour
  • 7
    Traycer

    Traycer

    Traycer AI

    Traycer transforms your ideas into clear, step-by-step plans that AI coding tools like Claude Code and Cursor can follow easily. Spend less time writing prompts and complete your projects faster. ✨ Detailed step by step implementation plans ✅ Perfect for large scale code refactoring and feature roll 🛠️ Seamless IDE integration (Copilot, Cursor, Windsurf, etc) 🤖 Powered by cutting-edge AI models like Sonnet 4, o3, GPT 4.1 and more 🎁 Free to use forever 🚀 14 day Pro trial, no credit card needed
    Starting Price: Free
  • 8
    Bitloops

    Bitloops

    Bitloops

    Bitloops is an AI-powered frontend development platform that transforms Figma designs into clean, production-ready code—automating up to 90% of the repetitive tasks developers face. Unlike basic design-to-code tools, Bitloops understands full-page layouts, detects reusable components, manages responsive variants, and integrates directly into existing codebases. It outputs well-structured React code that developers can immediately use, extend, and deploy—complete with CSS modules, asset management, and testing hooks like Storybook stories. Bitloops supports design system extraction, variant handling, and selective component conversion for more granular workflows. Its modular engine uses a combination of custom algorithms and LLMs for precise, context-aware code generation. Bitloops is built for scalability and extensibility, with upcoming support for state management, backend logic, and multi-framework output. It’s a copilot—not just a tool—designed for professional teams.
    Starting Price: $49/user/month
  • 9
    opencode

    opencode

    Anomaly Innovations

    opencode is the AI coding agent purpose-built for the terminal. It delivers a responsive, themeable terminal UI that feels native while streamlining your workflow. With LSP auto-loading, it ensures the right language servers are always available for accurate, context-aware coding support. Developers can spin up multiple AI agents in parallel sessions on the same project, maximizing productivity. Shareable links make it easy to reference, debug, or collaborate across sessions. Supporting Claude Pro and 75+ LLM providers via Models.dev, opencode gives you full freedom to choose your coding companion.
    Starting Price: Free
  • 10
    GPT‑5-Codex
    GPT-5-Codex is a version of GPT-5 further optimized for agentic coding within Codex, focusing on real-world software engineering tasks (building full projects from scratch, adding features & tests, debugging, large-scale refactors, and code reviews). Codex now moves faster, is more reliable, and works better in real-time across your development environments, whether in terminal/CLI, IDE extension, via the web, in GitHub, or even on mobile. GPT-5-Codex is the default model for cloud tasks and code review; developers can also opt to use it locally via Codex CLI or the IDE extension. It dynamically adjusts how much “reasoning time” it spends depending on task complexity; small, well-defined tasks are fast and snappy; more complex ones (refactors, large feature work) get more sustained effort. Code review is stronger; it catches critical bugs before shipping.
  • 11
    Agentforce Vibes
    Agentforce Vibes introduces vibe coding, a generative AI–powered approach that lets developers convert natural language instructions into production-ready Salesforce applications with enterprise-grade security, governance, and infrastructure. Unlike simpler vibe coding tools aimed at prototyping, Agentforce Vibes supports the full development lifecycle, ideation, building, testing, deployment, and observability, while integrating with Salesforce’s platform and trust layers. It functions as an AI-powered IDE (usable within VS Code or any VS Code-compatible environment) that understands your Salesforce schema and metadata, enabling features such as agentic code generation (Apex, HTML, CSS, JavaScript), intelligent rule enforcement, test case generation, debugging, rollbacks, and natural language DevOps. It supports multiple language models, is extensible via Model Context Protocol (MCP) with over 20 built-in tools, and allows reuse of existing code.
  • 12
    GPT-5.1

    GPT-5.1

    OpenAI

    GPT-5.1 is the latest update in the GPT-5 series, designed to make ChatGPT dramatically smarter and more conversational. The release introduces two distinct model variants: GPT-5.1 Instant, which is described as the most-used model and is now warmer, better at following instructions, and more intelligent; and GPT-5.1 Thinking, which is the advanced reasoning engine that’s been tuned to be easier to understand, faster on straightforward tasks, and more persistent on complex ones. Users' queries are now routed automatically to the variant best-suited to the task. The update emphasizes not just improved raw intelligence but also enhanced communication style; the models are tuned to be more natural, enjoyable to talk to, and better aligned with user intents. The system card addendum notes that GPT-5.1 Instant uses “adaptive reasoning” that lets it decide when to think more deeply before responding, while GPT-5.1 Thinking adapts its thinking time accurately to the question at hand.
  • 13
    GPT-5.1-Codex-Max
    GPT-5.1-Codex-Max is the high-capability variant of the GPT-5.1-Codex series designed specifically for software engineering and agentic code workflows. It builds on the base GPT-5.1 architecture with a focus on long-horizon tasks such as full project generation, large-scale refactoring, and autonomous multi-step bug and test management. It introduces adaptive reasoning, meaning the system dynamically allocates more compute for complex problems and less for simpler ones, to improve efficiency and output quality. It also supports tool use (IDE-integrated workflows, version control, CI/CD pipelines) and offers higher fidelity in code review, debugging, and agentic behavior than general-purpose models. Alongside Max, there are lighter variants such as Codex-Mini for cost-sensitive or scale use-cases. The GPT-5.1-Codex family is available in developer previews, including via integrations like GitHub Copilot.
  • 14
    Databricks Data Intelligence Platform
    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
  • 15
    AiXcoder

    AiXcoder

    AiXcoder

    Leave Artificial Intelligence to AIXcoder. Leave Real Intelligence to Human. The offline version is released! Your code is safe on your computer locally. AiXcoder works in smooth locally with state of art deep learning model compression techniques. The models are trained with a massive amount of open source code. And adapted to several areas. A search window is seamlessly integrated into IDE with the ability to search open-source code on GitHub. Deep learning is used to filter high-quality code as search results. Search API usage and examples. Search similar code to avoid duplicated coding. Project Level Personalized Training: Train models on personal project and computer. Enterprise Level Customized Training: Train models on code base and enterprise server. Based on standard model, personalized and customized training will learn the patterns and rules in your proprietary code.
  • 16
    OpenAI Codex
    OpenAI Codex is an advanced AI coding tool designed to assist software developers by automating many tasks in their coding workflow. It allows users to delegate tasks such as writing features, answering codebase questions, running tests, and proposing pull requests (PRs) for review. Codex works in parallel, handling multiple tasks simultaneously in secure cloud sandboxes preloaded with your repository. This tool helps developers move through their backlog faster and more efficiently, making it an invaluable asset for teams looking to streamline their development process.
  • 17
    Kodezi

    Kodezi

    Kodezi

    Let Kodezi auto-summarize your code in seconds. Kodezi is Grammarly for programmers. Generate, ask, search, and code anything in your codebase with KodeziChat. Your personal AI coding assistant! Kodezi doesn't just fix your code for you, it tells you why it’s wrong and how to prevent future bugs. Reduce unnecessary lines of code and syntax to ensure clean end results. Optimize your code for optimum efficiency. Debug code with detailed explanations. Swap from one framework or language to another in an instant, without losing context. When writing code, commenting and explanations are crucial for future maintenance. Generate code from text, input a project question or create an entire function all in seconds! Generate your code documentation. Translate code to another language. Optimize your code for optimum efficiency. Use our extension within your own IDE, never have to rely on opening up new tabs ever again.
  • 18
    CodeAssist

    CodeAssist

    CodeAssist

    When you work with CodeAssist plugin/extension, the code that CodeAssist works with is sent to the CodeAssist API. Your code is processed there to generate CodeAssist response (in the form of code change or message). Currently, the processed code is not stored on the server. If there are any changes to that, I'll let you know. If you don't use "Complete" feature (ALT+X shortcut), then it only processes the file that you have open in the editor. If you use "Complete" feature, then it processes other files in your codebase as well. As part of generating response, CodeAssist sends the code to OpenAI API. OpenAI stores the code for 1 month to provide and maintain their services, comply with applicable law, and enforce their policies. The code is not used by OpenAI for improvement of their services or training of their models.
    Starting Price: Free
  • 19
    ExplainDev

    ExplainDev

    ExplainDev

    At its core, apprenticeship is a relationship-driven learning model, based on actual day-to-day work, in which a novice gains hands-on knowledge from an expert to grow skills and act with increasing independence. Early adoptors of ExplainDev have reported a 50% decrease in questions for the senior developer assigned to help them in onboarding. Include as many code snippets as you want and get editable explanations instantly. All elements are customizable from the size and background of the image to the positioning and styling of arrow or text elements.
  • 20
    Kropply

    Kropply

    Kropply

    Kropply is set to become an indispensable companion for developers worldwide. We have created a terminal designed exclusively for VSCode, which integrates AI-driven error-solving capabilities. Kropply generates code, provides action points and explains errors whenever you have a runtime or package error. Whether you're a senior developer or just learning to code Kropply will help you reduce your debugging time and allow you to be more efficient while you code!
    Starting Price: $24.99
  • 21
    Digma

    Digma

    Digma

    Using runtime information, Digma integrates into your IDE to continuously highlight issues, regressions, and problems, as you code. Immediately see how any function scales in CI or production and spot issues while still in development. Accelerate code changes and avoid endless regressions, by analyzing how the code performs, Digma provides critical analytics on usage, errors, and performance baselines to make sense of forgotten code and ownerless libraries. Immediately understand what’s causing bottlenecks and slowdowns in your code. With valuable data such as code execution times, scaling limitations, and N+1 query issues – you can quickly fix it. Pull Request feedback and code review annotation get way easier when your team integrates Digma into your GitOps cycle. Digma lets you understand it and start working on it fearlessly – no matter how large or complex.
  • 22
    Sketch2App

    Sketch2App

    Sketch2App

    Sketch2App is an innovative tool that harnesses the power of GPT-4 vision to revolutionize the process of app development. By seamlessly generating code from hand-drawn sketches, this tool bridges the gap between conceptualization and implementation, making it an invaluable asset for developers and designers. Utilize the advanced capabilities of GPT-4 vision to transform hand-drawn sketches and wireframes into functional app sandboxes. Generate boilerplate UI code effortlessly from your sketches, kickstarting the development process with efficiency. Instantly receive both the generated code and a sandbox preview of your app. Preview the look and feel within seconds of capturing your wireframe or sketch. Clone the repository, create an account on OpenAI, and add your API key to a file named .env. Run the application from the command line.
  • 23
    RoboCoder

    RoboCoder

    RoboCoder

    Turn specs into code with GPT-4 Turbo; RoboCoder makes programming easier. We integrated GPT-4 Turbo with VS Code’s APIs, to allow it to open and edit files. Get a studio-quality maternity photoshoot by taking a few selfies at home, thanks to a powerful image-generating AI. Collaborate with ChatGPT on a plan, then tell it to "get to work." GPT-4 is smart enough to open files, navigate your codebase, and propose a patch using VS Code's diff tool.
  • 24
    Continue

    Continue

    Continue

    The leading open-source AI code assistant. You can connect any models and any context to create custom autocomplete and chat experiences inside the IDE Remain in flow while coding by removing the barriers that block productivity when building software. Accelerate development with a plug-and-play system that makes it easy to get started and integrates with your entire stack. Become a leader in AI by setting up your code assistant to evolve as new capabilities emerge. Continue autocompletes single lines or entire sections of code in any programming language as you type. Attach code or other context to ask questions about functions, files, the entire codebase, and more. Highlight code sections and press a keyboard shortcut to rewrite code from natural language.
    Starting Price: $0/developer/month
  • 25
    poolside

    poolside

    poolside

    poolside is building next-generation AI for software engineering. A model built specifically for the challenges of modern software engineering. Fine-tune our model on how your business writes software, using your practices, libraries, APIs, and knowledge bases. Your proprietary model continuously learns how your developers write code. You become an AI company. We're building foundation models, an API, and an assistant to bring the power of generative AI to your developers. The poolside stack can be deployed to your own infrastructure. No data or code ever leaves your security boundary. Ideal for highly regulated industries like financial services, defense, and technology as well as retail, tech, and systems integrators. Your model ingests your codebases, documentation & knowledge bases to create a model that is uniquely suited to your dev teams & business. poolside is deployed in your environment which allows you to securely and privately connect it to your data.
  • 26
    Symflower

    Symflower

    Symflower

    Symflower enhances software development by integrating static, dynamic, and symbolic analyses with Large Language Models (LLMs). This combination leverages the precision of deterministic analyses and the creativity of LLMs, resulting in higher quality and faster software development. Symflower assists in identifying the most suitable LLM for specific projects by evaluating various models against real-world scenarios, ensuring alignment with specific environments, workflows, and requirements. The platform addresses common LLM challenges by implementing automatic pre-and post-processing, which improves code quality and functionality. By providing the appropriate context through Retrieval-Augmented Generation (RAG), Symflower reduces hallucinations and enhances LLM performance. Continuous benchmarking ensures that use cases remain effective and compatible with the latest models. Additionally, Symflower accelerates fine-tuning and training data curation, offering detailed reports.
  • 27
    Genie AI

    Genie AI

    Genie AI

    Genie AI is a Visual Studio Code extension that integrates OpenAI's GPT models, including GPT-4, GPT-3.5, GPT-3, and Codex, directly into the development environment. This integration enhances the coding experience by providing features such as code generation, error explanation, and code fixes. Users can generate commit messages from git changes, store conversation history locally, and utilize the extension in the problems window to address compile-time errors. Genie AI supports streaming answers, allowing users to receive real-time responses to prompts within the editor or sidebar conversation. It also offers compatibility with Azure OpenAI Service deployments, enabling the use of custom models. Additional functionalities include customizable system messages, quick fixes for code issues, and the ability to export conversation history in Markdown format. The extension is designed to enhance developer productivity by integrating advanced AI capabilities into the coding workflow.
  • 28
    Jolt AI

    Jolt AI

    Jolt AI

    Jolt is an AI code generation and chat tool designed for large codebases ranging from 100,000 to multi-million lines of code. It automatically identifies relevant context files, generates coherent multi-file code changes, and matches the existing code style. Users can assign tasks to Jolt, which writes over 80% of the required code, handling medium to large codebases and editing over 10 files and 1,000 lines of code in a single task. Jolt creates an editable file-by-file implementation plan, ensuring the code is predictable and aligns with the intended approach, aiding developers in onboarding new codebases. The generated code integrates with popular Integrated Development Environments (IDEs), facilitating the development of new features, tests, bug fixes, and more, ultimately saving 50% of the time typically spent on a task. Jolt accurately selects context files in multi-million line codebases, and generates multi-file changes that match the existing code style.
  • 29
    CodeGuide

    CodeGuide

    CodeGuide

    ​CodeGuide is an AI-driven platform designed to assist developers in creating comprehensive project documentation for AI coding projects. It streamlines the process by automating the creation of Product Requirement Documents (PRDs), workflows, and prompts, thereby saving time and reducing potential AI hallucinations. Users can start by signing up with their Google account, and then create a new project by describing their idea, core features, and goals. It supports integration with various AI coding tools, including Claude AI, Bolt, VS Code, GitHub Copilot, Cursor AI, and Replit. Additionally, CodeGuide offers Starter Kits optimized for coding with preferred AI tools, such as the Starter Kit Lite, a modern web application starter template built with Next.js 14, featuring authentication and database integration. These kits are designed to help users start projects without setup hassles and save tokens. CodeGuide also provides access to Codie, an AI agent powered by Google's Gemini.
    Starting Price: $29 per month
  • 30
    Intel Open Edge Platform
    The Intel Open Edge Platform simplifies the development, deployment, and scaling of AI and edge computing solutions on standard hardware with cloud-like efficiency. It provides a curated set of components and workflows that accelerate AI model creation, optimization, and application development. From vision models to generative AI and large language models (LLM), the platform offers tools to streamline model training and inference. By integrating Intel’s OpenVINO toolkit, it ensures enhanced performance on Intel CPUs, GPUs, and VPUs, allowing organizations to bring AI applications to the edge with ease.