AI Enablement
The context engine for AI-native engineering
Transform your software catalog into a live source of truth. DX provides the essential context layer required to power agents and high performing teams.
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Systems Catalog
Bring data from across your ecosystem into a unified view of your SDLC
- Automate catalog building with effortless data ingestion
- Track ownership, SLOs, and real-time health
- Model complex entities and system relationships
Context Management
Equip AI agents with deep architectural context
- Provide agents with architecture-aware context
- Govern agent actions with org-wide safety standards
- Connect agents to SDLC data via the DX MCP
AI Readiness
Build the foundation needed for safe AI adoption
- Use pre-built scorecards to measure AI readiness
- Identify gaps in documentation and standards
- Prepare your SDLC for an AI-native future
Agent Ops Tools
Automate common workflows
- Build a library of autonomous agent actions
- Enable agents to independently resolve failures
- Take action from within the IDE
Scorecards
Define software standards and drive change
- Track quality, security, and performance at scale
- Use SQL to define custom evaluation rules
- Monitor improvements and maturity over time
Developer Self-Service
Streamline routine developer workflows
- Turn common service requests into self-service actions
- Front your CI, don't replicate
- Create service-aware, automated workflows
Internal Developer Portal
A unified interface for the AI-native org
- Drive change with scorecards and initiatives
- Centralize service ownership and metadata
- Power developer and agent operations
guide
The AI strategy playbook for senior executives
Engineering leaders are under growing pressure to show real, measurable productivity gains from AI. This guide will help: it walks through how to overcome fear of adoption, build a culture of education and enablement, and measure results.
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