PureCode AI

Description

PureCode AI is an AI coding platform built around an Agent Control Plane that runs, governs, and scales AI agents across any workflow in the software development lifecycle. Rather than being a single-developer coding assistant, it orchestrates agents that can spawn isolated tasks, pass events between them, and run in parallel across models, with code generation as the hardest workload it was built to handle first.

The platform includes Agent Mode, which breaks a goal into steps and executes them autonomously by calling tools, editing code, and validating its own work, and Chat Mode for understanding any codebase. Its Hybrid Context Engine indexes an entire codebase and scopes each model call to only the code a request depends on, reasoning across millions of lines at architectural scale while keeping working context outside the model's token window to control cost. Beyond coding, it can run workflows like incident response, data ingestion, and document generation, and specializes in legacy modernization from .NET Framework to modern .NET, plus Java EE, C++, COBOL, and mainframe.

PureCode is model-agnostic, letting teams use commercial frontier models, privately hosted open models, or a mix, and can deploy in the cloud, a VPC, on-premises, or fully air-gapped so source code never leaves the customer's boundary. Governance features include Tool Permissions, company-wide Rules for AI, a Knowledge Base for internal documentation, and reusable Skills. It offers enterprise security with SSO and SAML 2.0 and integrates with VS Code, Visual Studio, Eclipse, and mainframe environments.

PureCode AI's Core Features

• Agent Control Plane orchestrating AI agents across the SDLC

• Agent Mode for autonomous multi-step workflows

• Chat Mode for codebase understanding and debugging

• Hybrid Context Engine indexing entire codebases

• Legacy modernization for .NET, Java EE, C++, COBOL, and mainframe

• Model-agnostic with bring-your-own-model support

• Flexible deployment: cloud, VPC, on-premises, or air-gapped

• Governance via Tool Permissions, Rules for AI, and Knowledge Base

How to use PureCode AI?

1. 1

   Connect your codebase: The Hybrid Context Engine indexes your entire codebase for architectural-scale understanding.

2. 2

   Set governance: Configure Tool Permissions, Rules for AI, and your Knowledge Base for standards and internal knowledge.

3. 3

   Run agents: Use Agent Mode to automate workflows or Chat Mode to understand and debug code, in parallel across models.

4. 4

   Review and deploy: Stay in control through permissions and review checkpoints, deploying in your chosen environment.

PureCode AI's Use Cases

• Legacy modernization
• Feature development
• Codebase understanding
• Workflow automation
• Standards enforcement

FAQ from PureCode AI

• How is the Agent Control Plane different from a coding assistant?

  A coding assistant helps one developer write code. The Agent Control Plane runs, governs, and scales agents across any workflow, spawning isolated tasks, passing events, and running them in parallel across models.

• How does it work with large codebases?

  The Hybrid Context Engine indexes your entire codebase and scopes each model call to the code a request depends on, reasoning across millions of lines while keeping working context outside the model's token window.

• Can it migrate legacy applications?

  Yes. Legacy modernization is what PureCode was built on, from .NET Framework to modern .NET, extending to Java EE, C++, COBOL, and mainframe, migrating incrementally with team review.

• Which models can I use?

  PureCode is model-agnostic. You can use commercial frontier models, privately hosted open models, or a mix, and route different workflows to different models.

• Does my source code stay private?

  Yes. You can deploy in the cloud, your VPC, on-premises, or fully air-gapped. Code and context stay on your infrastructure, only an encrypted payload reaches the model, and PureCode retains no data and never trains on your code.

• How do I control what agents can do?

  Tool Permissions let an admin set what each agent can do autonomously and what needs human sign-off, scoped per team or project.