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.
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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.
- CategoryAI Coding Assistants
- Pricing ModelContact sales
- DeploymentCloud, On-premises
- PlatformsWeb
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?
Connect your codebase: The Hybrid Context Engine indexes your entire codebase for architectural-scale understanding.
Set governance: Configure Tool Permissions, Rules for AI, and your Knowledge Base for standards and internal knowledge.
Run agents: Use Agent Mode to automate workflows or Chat Mode to understand and debug code, in parallel across models.
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
