Best Artificial Intelligence Software for Visual Studio Code - Page 6
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Compare the Top Artificial Intelligence Software that integrates with Visual Studio Code as of April 2026 - Page 6
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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.
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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. -
2
GPT-5.1-Codex-Max
OpenAI
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. -
3
GPT-5.2 Thinking
OpenAI
GPT-5.2 Thinking is the highest-capability configuration in OpenAI’s GPT-5.2 model family, engineered for deep, expert-level reasoning, complex task execution, and advanced problem solving across long contexts and professional domains. Built on the foundational GPT-5.2 architecture with improvements in grounding, stability, and reasoning quality, this variant applies more compute and reasoning effort to generate responses that are more accurate, structured, and contextually rich when handling highly intricate workflows, multi-step analysis, and domain-specific challenges. GPT-5.2 Thinking excels at tasks that require sustained logical coherence, such as detailed research synthesis, advanced coding and debugging, complex data interpretation, strategic planning, and sophisticated technical writing, and it outperforms lighter variants on benchmarks that test professional skills and deep comprehension. -
4
GPT-5.2 Instant
OpenAI
GPT-5.2 Instant is the fast, capable variant of OpenAI’s GPT-5.2 model family designed for everyday work and learning with clear improvements in information-seeking questions, how-tos and walkthroughs, technical writing, and translation compared to prior versions. It builds on the warmer conversational tone introduced in GPT-5.1 Instant and produces clearer explanations that surface key information upfront, making it easier for users to get concise, accurate answers quickly. GPT-5.2 Instant delivers speed and responsiveness for typical tasks like answering queries, generating summaries, assisting with research, and helping with writing and editing, while incorporating broader enhancements from the GPT-5.2 series in reasoning, long-context handling, and factual grounding. As part of the GPT-5.2 lineup, it shares the same foundational improvements that boost overall reliability and performance across a wide range of everyday activities. -
5
GPT-5.2 Pro
OpenAI
GPT-5.2 Pro is the highest-capability variant of OpenAI’s latest GPT-5.2 model family, built to deliver professional-grade reasoning, complex task performance, and enhanced accuracy for demanding knowledge work, creative problem-solving, and enterprise-level applications. It builds on the foundational improvements of GPT-5.2, including stronger general intelligence, superior long-context understanding, better factual grounding, and improved tool use, while using more compute and deeper processing to produce more thoughtful, reliable, and context-rich responses for users with intricate, multi-step requirements. GPT-5.2 Pro is designed to handle challenging workflows such as advanced coding and debugging, deep data analysis, research synthesis, extensive document comprehension, and complex project planning with greater precision and fewer errors than lighter variants. -
6
Kimi Code
Kimi
Kimi Code is a developer-centric AI coding agent included as part of the Kimi Membership, designed to boost productivity by automating software development tasks and seamlessly integrating into popular workflows. It offers high-performance CLI tools and supports integration with terminal environments and IDEs like VS Code, allowing developers to read and edit code, answer questions about codebases, generate features, fix bugs, refactor, and verify changes through a natural-language interface. With a dedicated console showing real-time logs, request quotas, and pace controls, the platform lets users configure API keys for use in tools such as Kimi CLI, Claude Code, and Roo Code, enabling faster coding with AI assistance within commits and existing workflows. In VS Code, Kimi Code features a native chat panel with slash commands, file and folder references, diff views, and integration with external tools for context-aware coding support.Starting Price: $15 per month -
7
Grafbase
Grafbase
Grafbase is a high-performance GraphQL platform designed to help developers build, unify, and manage APIs by combining multiple data sources into a single federated API layer. It acts as a GraphQL federation gateway that aggregates services such as databases, microservices, REST APIs, and third-party systems into one unified endpoint that applications can query efficiently. Developers can compose a federated graph from multiple independent subgraphs, allowing different teams or services to evolve independently while still presenting a single coherent API to clients. Grafbase includes a schema registry and governance tools that enable teams to manage schema changes, run checks to detect breaking changes, and collaborate on schema proposals before deployment. It also provides analytics, observability, and performance monitoring features that track API usage and help teams optimize their data infrastructure. -
8
Deep Code
Chongqing Parsec Technology Co., Ltd.
Deep Code is a VS Code extension that embeds a full AI coding agent directly into your sidebar. It goes beyond simple chat to handle real development workflows. Key capabilities include project-level persistent sessions that retain context across days, file read/write and command execution for tasks like code understanding, documentation, and task continuity. The Skills system lets you codify team workflows into reusable capabilities. It also supports OpenAI-compatible models for flexible integration. Designed for developers who want an AI that doesn’t just answer questions, but collaborates across the entire development lifecycle without leaving VS Code.Starting Price: $0 -
9
Databricks Data Intelligence Platform
Databricks
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. -
10
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. -
11
OpenAI Codex
OpenAI
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. -
12
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. -
13
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 -
14
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. -
15
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 -
16
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. -
17
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. -
18
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. -
19
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 -
20
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. -
21
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. -
22
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. -
23
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. -
24
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 -
25
Intel Open Edge Platform
Intel
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. -
26
AlphaCodium
Qodo
AlphaCodium is a research-driven AI tool developed by Qodo to enhance coding with iterative, test-driven processes. It helps large language models improve their accuracy by enabling them to engage in logical reasoning, testing, and refining code. AlphaCodium offers an alternative to basic prompt-based approaches by guiding AI through a more structured flow paradigm, which leads to better mastery of complex code problems, particularly those involving edge cases. It improves performance on coding challenges by refining outputs based on specific tests, ensuring more reliable results. AlphaCodium is benchmarked to significantly increase the success rates of LLMs like GPT-4o, OpenAI o1, and Sonnet-3.5. It supports developers by providing advanced solutions for complex coding tasks, allowing for enhanced productivity in software development. -
27
SchemaFlow
SchemaFlow
SchemaFlow is a powerful tool designed to enhance AI-powered development by providing real-time access to your PostgreSQL database schema through the Model Context Protocol (MCP). It allows developers to connect their databases, visualize schema structures with interactive diagrams, and export schemas in various formats such as JSON, Markdown, SQL, and Mermaid. With native MCP support via Server-Sent Events (SSE), SchemaFlow enables seamless integration with AI-Integrated Development Environments (AI-IDEs) like Cursor, Windsurf, and VS Code, ensuring that AI assistants have up-to-date schema information for accurate code generation. It offers secure token-based authentication for MCP connections, automatic schema synchronization to keep AI assistants informed of any changes, and a schema browser for easy navigation of tables and relationships. -
28
Mistral Code
Mistral AI
Mistral Code is an AI-powered coding assistant designed to enhance software engineering productivity in enterprise environments by integrating powerful coding models, in-IDE assistance, local deployment options, and comprehensive enterprise tooling. Built on the open-source Continue project, Mistral Code offers secure, customizable AI coding capabilities while maintaining full control and visibility inside the customer’s IT environment. It supports over 80 programming languages and advanced functionalities such as multi-step refactoring, code search, and chat assistance, enabling developers to complete entire tickets, not just code completions. The platform addresses common enterprise challenges like proprietary repo connectivity, model customization, broad task coverage, and unified service-level agreements (SLAs). Major enterprises such as Abanca, SNCF, and Capgemini have adopted Mistral Code, using hybrid cloud and on-premises deployments. -
29
NEO
NEO
NEO is an autonomous machine learning engineer: a multi-agent system that automates the entire ML workflow so that teams can delegate data engineering, model development, evaluation, deployment, and monitoring to an intelligent pipeline without losing visibility or control. It layers advanced multi-step reasoning, memory orchestration, and adaptive inference to tackle complex problems end-to-end, validating and cleaning data, selecting and training models, handling edge-case failures, comparing candidate behaviors, and managing deployments, with human-in-the-loop breakpoints and configurable enablement controls. NEO continuously learns from outcomes, maintains context across experiments, and provides real-time status on readiness, performance, and issues, effectively creating a self-driving ML engineering stack that surfaces insights, resolves standard settlement-style friction (e.g., conflicting configurations or stale artifacts), and frees engineers from repetitive grunt work. -
30
Rube
Rube
Rube is a universal MCP (Model Context Protocol) server that enables AI chat clients to perform real-world actions across 500+ applications, including Gmail, Slack, GitHub, Notion, and more. Once installed, users authenticate their apps just once, and then, via natural language within their AI chat, they can instruct Rube to execute tasks like sending emails, creating tasks, updating databases, or posting updates. It intelligently manages authentication, API routing, and context handling behind the scenes, allowing for seamless multi-step workflows, such as fetching data from one app and sending it to another, without manual setup. Rube supports both individual and team use: shared connections let teammates access apps through a single, unified interface, while integrations persist across different AI clients. Built on Composio’s secure infrastructure, Rube ensures encrypted OAuth flows and SOC‑2 compliant practice, all wrapped in a streamlined, chat-first automation experience.
