One AI platform - in your IDE and in the cloud

Your AI coding agent in VS Code & the cloud

The PureCode extension modernizes your .NET, Java & C++ codebase right inside VS Code. Purecode AI Studio ships the changes with autonomous cloud agents - plan, build, test, and pull request from a single chat.

Install the Extension - Free

Launch AI Studio

100+ enterprise teams·12,000+ developers·100M+ lines of code every month

2-minute installFree on the VS Code Marketplace.

Local-first indexingCodebase indexes are built on your machine.

Enterprise-readyRuns locally or in your secure cloud.

Trusted by engineering teams worldwide

How PureCode works

One agent engine.
Two surfaces. Zero compromise.

Exploration subagents, team-shared instructions, and autonomous execution — available in your IDE and in the cloud.

Discover

AST call-graph exploration

Govern

Team rule synchronization

Execute

Dual-surface agent run

Deliver

Verified PR & deployment

In your IDEPureCode Extension

Your AI pair programmer, right in the editor.

Exploration subagents map your entire codebase by intent. Team-shared instructions keep every suggestion on your standards. Checkpoints let you rewind instantly - all without leaving VS Code.

Install free - VS Code Marketplace

1,000+ file codebases

Mapped by AST call graph

Framework rule enforcement

From team-shared instructions

Per-message checkpoints

Instant workspace restore

MCP, Skills & Rules

Extend the agent yourself

+ many more

Purecode AI

migrate our legacy WCF service layer to modern C# Web API controllers

Exploring codebase

Getting repo map

Grepped ServiceContract|WcfService|Startup… , 50 results

Planning next moves

Gathering more context

Read 5 files

CSOrderService.svc.csCSIOrderService.csCSStartup.csCSServiceHost.csJSONappsettings.json

Request to use read files

Ask everytimeSkip

Migration analysis complete. Replaced legacy WCF ServiceContract with modern C# Web API controllers.

1. Controller Migration OrderController

csharp

[ApiController]

public class OrderController

async Task<ActionResult> Get(…)

Chat with your Codebase: Plan, Search, Describe and Build

Gemini-3.5-flash

OrderController.cs 2 ×IOrderService.csStartup.csPurecode AI

srcApiControllersOrderController.cs

1using Microsoft.AspNetCore.Mvc;

2using System.ComponentModel.DataAnnotations;

4namespace Enterprise.Api.Controllers;

6// PureCode: migrated from WCF ServiceContract

7[ApiController]

8[Route("api/[controller]")]

9public class OrderController : ControllerBase

10{

11 private readonly IOrderService _service;

13 public OrderController(IOrderService service)

14 {

15 _service = service;

16 }

18 [HttpGet("{id}")]

19 public async Task<ActionResult<Order>> Get(int id)

20 {

21 var order = await _service.GetAsync(id);

22 return order is null ? NotFound() : Ok(order);

23 }

25 [HttpPost]

26 public async Task<ActionResult> Create(

27 [FromBody] CreateOrderRequest request)

28 {

29 await _service.CreateAsync(request);

30 return CreatedAtAction(nameof(Get), new { id = request.Id }, null);

31 }

32}

In the cloudPureCode AI Studio

Autonomous agents. Cloud-native delivery.

Connect your GitHub repo in AI Studio, describe what needs to change, and watch a multi-agent pipeline clone, refactor, test, and ship a verified pull request - all in an isolated cloud sandbox.

Launch AI Studio

Isolated Linux sandboxes

No local compute consumed

Multi-agent orchestration

routerAgent → codingAgent → gitAgent

Real-time streaming

Every tool call, as it runs

GitHub-native delivery

Branches, commits, and PRs

+ many more

PureCode AI Studio

https://app.purecode.ai/chat/new

Cloud Agent Connected

What should we build today?

|Ask me to build an app...

BuildAgents

Gemini 3.5 flash

|Kanban Task Board Application

Create a Kanban task board with drag-and-drop columns, task cards with labels, priorities and assignees, and a sprint progress overview.

Thought for 172s

PLAN

1. Create Sandbox: Establish standard TypeScript sandbox environment.

2. Scaffold React Vite App: drag-and-drop board engine with src/components/Board.tsx.

3. Verify and Build: Validate code with validateAndFixCode, fix issues as needed.

EXECUTION

Create Board Component

applyFilePatch completed successfully

Port detected: 5173

Terminal execution progress

Ask me to build an app...

Create Task Card

src/components/TaskCard.tsx

Complete Board Core

src/App.tsx

Summary

Update App.tsx to orchestrate board state, drag-and-drop events, task filters, and the sprint progress overview

Changes

1 -

import { useState, useEffect } from 'react';

import { Board } from './components/Board';

import { TaskCard } from './components/TaskCard';

import { useDragDrop } from './hooks/useDragDrop';

Read main.tsx

src/main.tsx

Configure App Entry

src/main.tsx

VS Code extension

Everything the agent brings to your editor.

Chat, Agent, and Spec modes are only the surface. Underneath, the PureCode extension ships the full set of capabilities an enterprise agent needs — all in VS Code, all under your control.

The agent keeps its own memory of your repo

The agent writes project memory to plain files in your repo — decisions, conventions, and context it recalls automatically in every future session.

Nothing is hidden in a vendor database. Memory is reviewable, diffable, and commits alongside the code it describes.

Memorypurecode-server

.purecode/memory

MEMORY.md

api-conventions.md

auth-flow-decisions.md

checkout-tax-rules.md

Saved

Writing memory from this session · recalled automatically next time

Exploration subagents map the repo before it edits

Subagents fan out in parallel — mapping the repo, walking call hierarchies, and resolving imports before a single line is edited.

Each returns a summary rather than a transcript, so the main agent stays focused on the change you actually asked for.

Exploring codebase

3 subagents

repoMappermap 1,204 files across 86 folders

symbolExplorerwalk OrderService call hierarchy

importResolvertrace 84 imports · flag cycles

Repo mapped — 1,204 files, call graph & imports resolved

Nothing runs without your approval

Every tool call is permission-gated — approve single runs, ask every time, or auto-approve the tools you trust.

Rules are per project and per tool, so a repo you are exploring never inherits the permissions of one you own.

Auto approve

Ask everytime

Disable

Tool Permissions

Auto approve all

Built-in toolsMCP tools

Codebase Access

Read Codebase

Ask everytime

Exact Search Query

Ask everytime

Symbol Explorer

Ask everytime

File Access

Codebase Exploration

Auto approve

Checkpoints at every message, revert at any point

Workspace state is snapshotted at every message — diff the changes or restore any point when an agent edit goes sideways.

You are never one bad turn away from a dirty tree, which is what makes it safe to let the agent try the ambitious version first.

Checkpoint Saved

Compare|Restore

src/Services/OrderProcessingService.cs

+ namespace OrderGateway.Services;

+ public async Task<OrderResult> ProcessAsync(OrderRequest req)

{

+ var tx = await _db.BeginTransactionAsync();

+ return await _paymentService.ExecuteAsync(req);

}

src/Controllers/PaymentController.cs

Undo files

Revert code changes while keeping AI messages.

Undo messages

Remove messages, but keep the generated code.

Undo both

Revert code and remove history completely.

Restore will not revert database updates or installed dependencies.

Bring your own tools over MCP

Plug external tools and data sources into the agent over Model Context Protocol — stdio commands, SSE, or streamable HTTP servers.

Your issue tracker, your internal APIs, your database. The agent uses them the same way it uses the terminal.

General

Features

MCPs

Skills

Rules for AI

MCP Servers

Refresh

Context7

Firecrawl-Mcp

Available Tools

firecrawl_scrapefirecrawl_mapfirecrawl_searchfirecrawl_agent

Suggested MCP Installation

GitHub MCP

Remote SSE connection

Spec mode turns an intent into tracked tasks

Spec mode plans first — requirements and architecture broken into incremental tasks the agent tracks to completion.

You review the plan while it is still cheap to change, then watch it get executed task by task.

General

MCPs

Spec Manager

Rules for AI

Spec Manager

Manage project specifications

View All

dotnet-order-pipeline

Created 2026

Requirements

Design

Tasks

Also in the extension

Seven more capabilities, in the same install and under the same controls.

Indexing Preferences

Normal and Advanced indexes built with local embedding models. Pick your files; zero data leaves your machine.

Custom Instructions & Rules

Global rules, project rules, and team-shared instructions keep every AI response aligned with your engineering standards.

File Protection Manager

Mark credentials, config, and private code off-limits. Protected files cannot be read, modified, or repo-mapped by the agent.

Skills Management

Reusable skill folders with executable scripts, loaded on demand and scoped globally or per project.

AST Code Intelligence

Recursive Symbol Explorer walks call hierarchies; Import Usage Resolver traces imports and flags circular dependencies.

Docs & UI Docs Indexes

Index framework docs and UI component libraries so answers cite the exact APIs your project uses.

Error Solving

Error Lens surfaces problems inline; the agent reads diagnostics and terminal output to fix them at the source.

GitHub-native cloud agents

From your repo to a pull request.

Connect a GitHub repo in Purecode AI Studio, describe the change, and watch the agent clone, edit, verify, and open the PR - every step streamed live.

Purecode AI StudioAgents mode

AgentsConnect GitHubpurecode/api-server · main

Fix the checkout total bug and open a PR

Cloning purecode/api-server

Pull Request Created

#42 · fix/checkout-totalmain

View on GitHub

Agent Execution Logs

Creating Environment

Cloning Repository

Reading File

Editing Files

Running Terminal Command

Pushing to GitHub

Creating Pull Request

src/services/CheckoutService.cs

- var total = subtotal * 1.08m;

+ var total = subtotal * taxRate;

$ dotnet test

Passed! · 42 tests · 0 failed

Instant cloud sandboxes

Isolated Linux environments spin up per task - agents build, test, and serve live previews with nothing installed locally.

Multi-agent orchestration

routerAgent, codingAgent, and gitAgent hand off work - routing intent, writing code, and shipping the branch autonomously.

Checkpoints & rollback

Every version is snapshotted as the agent works - restore to any point when an experiment goes sideways.

Run it on your repo in AI Studio

Enterprise teams

Developers

0M+

Lines of code / month

Enterprise modernization

Supercharge your legacy development.

.NET FrameworkC#JavaSpring BootVB.NETCOBOLC++

Codes Like Your Senior Engineers, Only Faster

Smart suggestions that follow your enterprise coding standards and conventions. Trained on enterprise patterns, fluent in C#, ASP.NET Core, Java, Spring Boot, Entity Framework, and your custom frameworks.

Enterprise Security, Zero Data Risk

Your code never leaves your environment. PureCode Enterprise runs locally or in your secure cloud, with zero data retention and no training on your proprietary applications.

Transform Legacy Development Velocity

From .NET Framework, Java Spring Boot, VB.NET, and COBOL modernization to modern microservices architecture. PureCode AI accelerates every step of enterprise development - from planning to deployment.

Enterprise-Scale Collaboration

Move beyond individual AI assistants. Use shared solution intelligence and team prompts to ensure consistent, high-quality code across every stack your enterprise runs - .NET, Java, or mainframe.

What can PureCode AI do for you? Nine walkthroughs inside a real codebase.

Code Refactoring

Your AI coding agent in VS Code & the cloud

One agent engine.
Two surfaces. Zero compromise.

Your AI pair programmer, right in the editor.

Autonomous agents. Cloud-native delivery.

What should we build today?

Everything the agent brings to your editor.

The agent keeps its own memory of your repo

Exploration subagents map the repo before it edits

Nothing runs without your approval

Checkpoints at every message, revert at any point

Bring your own tools over MCP

Spec mode turns an intent into tracked tasks

Also in the extension

Indexing Preferences

Custom Instructions & Rules

File Protection Manager

Skills Management

AST Code Intelligence

Docs & UI Docs Indexes

Error Solving

From your repo to a pull request.

Instant cloud sandboxes

Multi-agent orchestration

Checkpoints & rollback

Supercharge your legacy development.

Codes Like Your Senior Engineers, Only Faster

Enterprise Security, Zero Data Risk

Transform Legacy Development Velocity

Enterprise-Scale Collaboration

What can PureCode AI do for you? Nine walkthroughs inside a real codebase.

Accelerate Enterprise Development

Get your 30 day enterprise trial

Your AI coding agent in VS Code & the cloud

One agent engine.Two surfaces. Zero compromise.

Your AI pair programmer, right in the editor.

Autonomous agents. Cloud-native delivery.

What should we build today?

Everything the agent brings to your editor.

The agent keeps its own memory of your repo

Exploration subagents map the repo before it edits

Nothing runs without your approval

Checkpoints at every message, revert at any point

Bring your own tools over MCP

Spec mode turns an intent into tracked tasks

Also in the extension

Indexing Preferences

Custom Instructions & Rules

File Protection Manager

Skills Management

AST Code Intelligence

Docs & UI Docs Indexes

Error Solving

From your repo to a pull request.

Instant cloud sandboxes

Multi-agent orchestration

Checkpoints & rollback

Supercharge your legacy development.

Codes Like Your Senior Engineers, Only Faster

Enterprise Security, Zero Data Risk

Transform Legacy Development Velocity

Enterprise-Scale Collaboration

What can PureCode AI do for you? Nine walkthroughs inside a real codebase.

Accelerate Enterprise Development

Get your 30 day enterprise trial

One agent engine.
Two surfaces. Zero compromise.