Solutions for Development Teams

Secure AI coding for enterprise development teams.

Iterate helps engineering teams use AI-assisted development to understand codebases, generate code, review changes, and improve productivity while preserving code privacy, security, governance, and enterprise control.
Secure AI-assisted coding
Large-codebase intelligence
Security-first generation
Developer AI governance
Private & governed AI usage
The problem

Secure developer AI requires context, governance, and control.

AI coding tools can accelerate delivery, but they also raise questions about IP exposure, security, code quality, context limits, auditability, and uncontrolled model usage. Engineering leaders need a secure adoption path.

Proprietary code exposure

Large-codebase limits

Security risk

Governance gaps

Delivery pressure

THe Solution

Bring secure AI assistance into the developer workflow.

Iterate combines AgentOne, AgentWatch, Generate, and Interplay to support secure code generation, large-codebase intelligence, security-aware development, AI governance, and developer workflow automation.

Understand large codebases

Help developers reason across repositories, services, dependencies, architecture, and implementation context.

Generate & review code securely

Support code generation, review, refactoring, and modernization with security-aware assistance

Protect proprietary code

Support AI-assisted development within enterprise-controlled environments, private endpoints, and governed usage patterns.

Improve engineering workflows

Help teams summarize code, explain dependencies, generate tests, document systems, and automate developer-adjacent tasks.

Govern developer AI usage

Monitor usage, manage routing, enforce policies, maintain auditability, and control cost across developer AI tools.

How Iterate supports secure AI-assisted development

01

Select repositories and workflows

Identify the teams, codebases, workflows, and development tasks where AI assistance can create measurable value.

02

Map security and privacy requirements

Define requirements for code privacy, model access, proprietary IP protection, vulnerability checks, auditability, and governance.

03

Enable codebase intelligence

Use AgentOne to support large-codebase understanding, code generation, review, refactoring, and modernization.

04

Govern developer AI activity

Use AgentWatch to monitor usage, enforce policies, route model calls, audit activity, and manage cost.

05

Connect development workflows

Use Generate and Interplay to support engineering assistants, internal knowledge workflows, automation, and integrations across tools.
capabilities

Secure developer productivity capabilities

Code intelligence & generation
  • AI-assisted code generation
  • Large-codebase context and codebase intelligence
  • Architecture and dependency understanding
  • Refactoring and modernization support
Security & review
  • Security-aware code review and vulnerability checks
  • Safer generated code review workflows
  • Private endpoint and model routing support
  • Governance for coding agents and developer tools
Governance & workflow
  • Developer workflow automation
  • AI usage observability and audit trails
  • Budget, token, and provider controls
  • Integration with developer tools and enterprise workflows
Business value

Outcomes teams can measure

Iterate helps engineering teams measure faster delivery, stronger codebase understanding, improved security review, protected proprietary code, usage visibility, and governed AI adoption.

  • Help developers ship faster with better context.
  • Protect proprietary code and sensitive engineering information.
  • Improve security review of AI-generated code.
  • Increase visibility into developer AI usage and cost.
  • Support large, complex, legacy, and multi-service codebases.
  • Scale developer AI adoption with governance and control.
Secure Developer AI Pilot

Validate AI coding within security controls.

Iterate helps engineering leaders define a secure AI-assisted development pilot, select the right repositories and teams, set governance requirements, and measure productivity, quality, and risk reduction.

  • Developer workflow and repo candidate selection
  • Security and code privacy requirements
  • Governance and observability plan
  • AgentOne pilot configuration recommendations
  • Productivity, quality, and adoption metrics

Frequently asked questions

Is this only for individual developer productivity?
No. The page should also speak to team-level governance, security, large-codebase intelligence, modernization, and platform engineering needs.
How does AgentWatch fit with AgentOne?
gentWatch adds governance, observability, policy enforcement, routing, audit trails, and cost controls around AI usage, including developer AI workflows.
Can this help with legacy systems?
Yes. AgentOne’s positioning should focus on large codebases, deep context, dependency understanding, refactoring, and modernization support.
Can this protect proprietary code?
Yes. The page should emphasize private, governed AI usage, controlled model access, routing, auditability, and enterprise security requirements for code and engineering data.