Product overview
What is PureCode AI?
PureCode AI is an enterprise platform for orchestrating and governing AI agents across the software-development lifecycle. It supports coding, planning, testing, incident response, data pipelines, and legacy modernization through one control plane. Its Hybrid Context Engine indexes a codebase and scopes model context to the dependencies relevant to each request.
The platform is designed for enterprise systems including .NET Framework, .NET Core, Java, C and C++, COBOL, PowerBuilder, Visual Basic 6, and mainframe environments. It integrates with common editors, terminals, and CI pipelines and can run locally, in a private cloud, on premises, or in an air-gapped environment. Teams remain responsible for reviewing changes, running tests, and applying release controls.
How to Use PureCode AI
- Choose a deployment model that matches the organization's security and network requirements.
- Connect the relevant repositories and internal development knowledge.
- Define coding standards, permissions, model choices, and workflows in the control plane.
- Assign a bounded task such as a migration step, feature, test, or incident investigation.
- Review generated changes, execute the project's checks, and approve deployment through existing controls.
Core Features
- Agent control plane: Orchestrates and governs agents across multiple software workflows.
- Hybrid Context Engine: Indexes large codebases and retrieves the context required for each task.
- Legacy modernization: Supports framework upgrades, refactoring, and migration of long-lived enterprise systems.
- Model flexibility: Runs workflows across selected models and supports enterprise model arrangements.
- Private deployment: Offers local, VPC, on-premises, and air-gapped options with enterprise access controls.
- Development-tool integration: Works with editors, terminals, mainframe environments, and CI pipelines.
Use Cases
- .NET modernization: Upgrade older applications while retaining business rules and architecture constraints.
- Large-codebase development: Help engineers navigate and modify complex services with repository-aware context.
- SDLC automation: Coordinate coding, tests, planning, incident work, and data workflows under shared controls.
- Regulated engineering: Deploy coding agents where source-code location, access, retention, and audit requirements are strict.
Pricing
PureCode AI does not expose reliable standard plan prices on its current public pricing page. Enterprise prospects can request a 30-day trial and schedule a demo. Commercial terms depend on deployment, users, models, workflows, support, and security requirements.
Frequently Asked Questions
Is PureCode AI only for .NET?
No. .NET and legacy modernization are major focuses, but the platform also lists Java, C and C++, COBOL, PowerBuilder, Visual Basic 6, and mainframe environments.
Can it run in an air-gapped environment?
Yes. PureCode AI lists air-gapped deployment among its enterprise options.
Does the platform eliminate code review?
No. Agent-generated changes still need repository-specific tests, security review, human approval, and normal deployment controls.
