PureCode AI is an AI programming platform for enterprise development teams, officially positioned to accelerate the development and modernization of enterprise-grade code such as .NET, Java, and C++, while emphasizing security. At its core is "one agent engine, two interfaces": a VS Code extension and the cloud-based AI Studio, both of which share capabilities such as exploration sub-agents, team-shared instructions, and autonomous execution.
Main capabilities:
- AI pair programming within VS Code. The extension can index the codebase, explore the entire repository through AST call graphs (supporting a scale of 1,000+ files), and enforce framework rules based on team-shared instructions. It provides per-message checkpoints to instantly restore the workspace.
- Autonomous cloud agents. Connect a GitHub repository in Purecode AI Studio and describe the change requirements; a multi-agent pipeline (routerAgent → codingAgent → gitAgent) clones, refactors, tests, and submits a verified pull request in an isolated Linux sandbox, with the entire process streamed in real time and without consuming local compute. Delivery is in the form of GitHub-native branches, commits, and PRs.
- MCP, Skills, and Rules extensions. External tools and data sources such as issue trackers, internal APIs, and databases can be connected via the Model Context Protocol (stdio, SSE, or streamable HTTP server); reusable skill folders are supported, containing executable scripts, loaded on demand and scoped globally or per project; global rules, project rules, and team-shared instructions are supported, making AI responses conform to engineering standards.
- Security and controllability. All tool calls require permission approval, and permissions can be configured per project and per tool; credentials, configuration, and private code can be marked as protected files, prohibiting the agent from reading, modifying, or building a repository map of them; a local embedding model builds the index, and index data never leaves the local machine.
- Project memory and checkpoints. The agent writes decisions, conventions, and context into the codebase as plain files, which can be reviewed, diffed, and committed along with the code, rather than hidden in a vendor database. The workspace is snapshotted with every message, supporting restoring code while keeping AI messages, deleting messages while keeping code, or restoring code and clearing history at the same time.
How to use:
- VS Code extension: After installing it in the editor, you can use Chat, Agent, and Spec modes. Spec mode first plans requirements and architecture, thenbreaks them down into incremental tasks and tracks execution item by item. The extension also includes Normal and Advanced local indexing, a recursive symbol explorer, an import usage parser, framework documentation and UI component library indexing, Error Lens inline error hints, and other capabilities.
- Cloud AI Studio: Connect a GitHub repository, describe the changes, and the agent clones, edits, verifies, and opens a PR in an isolated Linux sandbox, with steps streamed in real time.
Applicable scenarios:
- Modernization of enterprise legacy systems, such as migrating .NET Framework, Java Spring Boot, VB.NET, and COBOL to modern microservice architectures.
- Collaborative team development that needs to follow enterprise coding standards and conventions.
- Development workflows that want refactoring, testing, and PR delivery automated in the cloud.
- Enterprise environments that require local or secure cloud deployment, zero data retention, and no training on proprietary applications.
Limitations and notes: The materials mention scale figures such as 100+ enterprise teams, 12,000+ developers, and 100M+ lines of code per month, as well as enterprise security features such as running locally or in a secure cloud, zero data retention, and no training on proprietary applications. However, the materials do not provide specific pricing methods, prices, complete details of the supported language list, system requirements, deployment steps, or privacy policy details; these facts are not yet available.
