AiMatch

Purecode AI

PureCode AI helps enterprise engineering teams explore and change codebases in VS Code or through cloud agents in AI Studio. Teams can test changes and deliver GitHub pull requests, including for legacy code modernization.

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Who it's for

  • Enterprise .NET, Java, and C++ engineers modernizing existing codebases from VS Code.
  • Engineering teams that want shared project instructions, controlled agent permissions, and reviewable checkpoints.
  • Teams using GitHub who want cloud agents to make, test, and submit repository changes as pull requests.

How it fits your workflow

In VS Code, open a project and use the extension to ask questions, explore code, plan work, or make changes. Exploration subagents can map code and call hierarchies, while project rules and permissions guide the agent.

For cloud work, connect a GitHub repository in AI Studio and describe the requested change. Agents run in an isolated Linux sandbox, stream their activity, and can edit and test the repository before creating a pull request.

Pricing

Free: 30 day enterprise trial available (advertised on the site).

The vendor doesn't publish prices. Check with Purecode AI directly.

Prices checked on Jul 15, 2026 from the vendor's site. They can change; confirm before you buy.

Key features

Agent Control Plane
Orchestrates and governs AI agents for any workflow across the SDLC, running agents in parallel across models and environments.
Hybrid Context Engine
Indexes the entire codebase and scopes each answer to the specific code dependencies so suggestions follow enterprise architecture and standards.
Spec Mode
Turn requirements into a reviewed specification the agent executes against so complex work aligns with original intent.
Agent Mode
Spawn autonomous agents to migrate legacy code, ship features, run incident response, or build pipelines, including long-running background agents.
Chat Mode
Ask questions across the entire codebase, debug live applications, and trace legacy patterns with context-aware responses.
Skill Feature
Package a proven workflow as a named, reusable capability that teams can run repeatedly.

Alternatives to consider

  • Coder

    Choose it if you need self-hosted AI-native development infrastructure and centralized governance on infrastructure your enterprise owns.

  • Compozy

    Choose it if you want an open-source, local-first CLI to orchestrate multiple AI coding agents through a structured pipeline to a merged pull request.

Compare Purecode AI side by side

Getting started

VS Code for the extension workflow; a GitHub repository to use AI Studio's repository workflow.

  1. Install the PureCode extension from the VS Code Marketplace.
  2. Open a codebase in VS Code and start exploring or describing a task to the agent.
  3. Configure project instructions and tool permissions as needed.
  4. For cloud execution, launch AI Studio, connect a GitHub repository, and describe the requested change.