Visual Studio Code Agents

    Visual Studio Code Agents

    No reviews
    Category:Artificial Intelligence
    Pricing:Free
    Added:
    August 13, 2026
    Website:
    VISIT NOW

    Share

    Visual Studio Code Agents

    AI agent platform that autonomously plans and executes development tasks. Edit code, run commands, and use various models directly from the editor.

    General Information about Visual Studio Code Agents

    Visual Studio Code Agents is an open platform designed for managing and executing AI agents autonomously within the development environment. This tool allows developers to delegate complex tasks using natural language, enabling the AI to plan, research, and execute actions until the requested goal is achieved. Unlike traditional code assistants, these agents can edit multiple files, run commands directly in the terminal, and verify their own results iteratively, functioning on both local computers and in the cloud.

    The system's operation is based on a workflow where the user defines a goal and the agent develops a strategy for prior review and approval. Visual Studio Code Agents technology natively integrates the Model Context Protocol (MCP), which facilitates direct connections to databases, APIs, and external services without the need to configure additional boilerplate code. It stands out for its high interoperability, allowing users to choose from various language models from leading providers such as OpenAI, Anthropic, or Google, or even use privately hosted models through their own API keys.

    The primary capabilities of this tool include:

    • Autonomous and parallel execution: It is possible to launch multiple tasks simultaneously across different projects, allowing research or refactoring to progress while you continue working in other areas.
    • Cross-platform integration: Agents maintain context and follow the developer across VS Code, the command-line interface (CLI), the browser, and mobile devices.
    • Agent customization: The ability to create custom agent profiles with specific instructions, skills, and tools tailored to the technical conventions of each development team.
    • Unified session management: Includes a dedicated view to monitor and manage all active agent sessions, allowing you to switch between an agent-centric workflow and one focused on direct code editing.

    Visual Studio Code Agents is highly effective for end-to-end feature development, where the AI handles scaffolding, implementation, and verification testing. It is an efficient solution for complex debugging, migrating codebases between different frameworks, and performing accessibility and UX audits by running automated scripts. Additionally, it simplifies technical management tasks such as generating documentation, release notes, and commit summaries, helping transform ideas or prototypes into pull requests ready for professional review.

    Features and Use Cases of Visual Studio Code Agents

    Open platform for running AI agents that autonomously plan and complete tasks.
    Agents perform multi-file edits and execute terminal commands until the task is complete.
    Support for various OpenAI, Anthropic, and Google models using your own API keys.
    Native Model Context Protocol support to connect agents with databases and external services without additional code.
    Create custom agents with specific instructions and tools tailored to each team's conventions.
    Develop full features from natural language descriptions and verify results with automated tests.
    Identify and fix failing tests by independently performing root cause analysis.
    Migrate and refactor codebases by coordinating changes across different frameworks or APIs.
    Audit accessibility and user experience by automatically navigating the application with Playwright.
    Generate technical documentation and release notes by summarizing changes across repositories.

    How Visual Studio Code Agents Works

    1Download and install Visual Studio Code to access the AI agent platform.
    2Describe a task in natural language to let the agent autonomously develop an action plan.
    3Review and approve the agent's research and planning strategy before it begins writing code.
    4Allow the agent to edit multiple files and execute terminal commands independently.
    5Monitor how the agent iterates on errors and verifies its own results until the goal is achieved.
    6Start several tasks in parallel across different projects to have multiple agents working simultaneously.
    7Use the Agents window to manage high-level, task-oriented workflows.
    8Access the Chat view for a code-centric workflow where the agent assists directly in the editor.
    9Select the most suitable agent for each job from GitHub Copilot, custom agents, or third-party agents like Anthropic and OpenAI.
    10Configure your preferred language model from providers like OpenAI, Anthropic, or Google by entering your own API key.
    11Connect agents to databases, applications, and services through native integration of Model Context Protocols (MCP).
    12Customize your agents' behavior by defining specific instructions and skills tailored to your team's conventions.
    13Manage and monitor all agent sessions from a unified view to control local and cloud processes.
    14Use agents for practical functions like building end-to-end features, debugging failing tests, or refactoring code.
    15Use agents for management tasks such as auditing application accessibility or summarizing changes in release notes.

    Frequently Asked Questions about Visual Studio Code Agents

    What exactly are Visual Studio Code Agents?

    They are AI agents capable of autonomously planning and executing end-to-end development tasks, from initial research to file editing and terminal command execution.

    Can Visual Studio Code Agents work without constant supervision?

    Yes, the agents operate autonomously by making code changes and fixing bugs on their own, though they still allow users to review and approve the work strategy before any modifications are made.

    Is it possible to use third-party AI models with Visual Studio Code Agents?

    Yes, the platform lets you choose from various models from providers like OpenAI, Anthropic, or Google, and even allows you to use your own API keys to connect to externally hosted models.

    Does the tool allow for running multiple tasks simultaneously?

    Absolutely. The system allows you to start multiple tasks in parallel across different projects, so you don't have to wait for one agent to finish before starting the next assignment.

    What are the benefits of native MCP integration in these agents?

    Support for the Model Context Protocol allows agents to connect directly to databases, APIs, and external services via servers that are installed and managed within the editor itself, requiring no additional code.

    What devices can Visual Studio Code Agents be used on?

    The agents are available in the desktop editor, the command line, via the browser, and in the GitHub Copilot mobile app, providing total workflow mobility.

    Can custom agents be created for specific workflows?

    Yes, you can define your own instructions, tools, and skills to create agents that follow a specific team's conventions and handle repetitive tasks according to set rules.

    What are the technical requirements to start using the agents?

    No complex setup or additional tools are required; you just need a GitHub account to activate and start using the agents' capabilities within your development environment.

    How do Visual Studio Code Agents help with bug fixes?

    You simply point to a failing test, and the agent will investigate the root cause, apply the necessary fix to the relevant files, and rerun the tests to confirm the issue is resolved.

    Can the agents generate documentation and release notes?

    Yes, the agents can summarize changes made across multiple repositories to automatically generate API documentation, changelogs, release notes, or even social media posts.

    Visual Studio Code Agents Pricing

    Visual Studio Code (Base Platform)

    Price: Free.

    Access to the open platform for AI agents.

    Use local agents and integrated chat sessions within the editor.

    Full editing features: IntelliSense, refactoring, and debugging.

    Native support for Model Context Protocol (MCP) to connect agents with databases and APIs.

    Manage multiple agent sessions in parallel.


    GitHub Copilot Agents

    Price: Refer to the official website for GitHub Copilot subscription rates.

    Run Copilot agents locally with full access to the codebase.

    Offload tasks to the cloud for asynchronous background work.

    Ability to autonomously perform research, edits, and command execution.

    Automatic pull request creation upon task completion.


    Third-Party and Custom Agents

    Price: Requires your own API keys (Bring Your Own API Key); check pricing with external providers.

    Integration of models from Anthropic, OpenAI, Google, and other providers.

    Configure custom agents with specific instructions and tools based on team conventions.

    Run external agents locally or in the cloud while maintaining the VS Code workflow.

    Access ready-to-use agents through the marketplace.

    Visual Studio Code Agents Screenshots

    Visual Studio Code Agents screenshot 1

    Visual Studio Code Agents Reviews

    Write a review

    You need to log in to write a review

    Visual Studio Code Agents Reviews

    Loading reviews...

    Visual Studio Code Agents Alternatives

    No alternatives available at the moment

    Visual Studio Code Agents Analytics

    Views
    Real data
    Website Clicks
    Real data
    CTR
    Real data

    Views Trend (30 days)

    Analytics data is updated in real-time and is 100% real