Features
Per-agent cost, token count, acceptance rate, and deployment status per PR
DORA metrics: deployment frequency, lead time, change failure rate, MTTR
Cycle time analysis from first commit to production release
Pull request insights with linked/unlinked PRs
Sprint velocity and risk tracking
Merge quality report and health insights
Resource planning and cost capitalization
Custom dashboards, metrics, and reports (Studio)
Automatic targets and milestone notifications
AI Coach providing actionable recommendations
Waydev Agent for natural-language queries about delivery and outcomes
Benchmarking teams against company performance
AI Adoption tracking and AI Impact agents
SPACE Framework and DX metrics
Autonomous vulnerability scanning and PR generation
PR review for quality, security, and best practices
Legacy COBOL to Java migration with testing
Incident triage and root cause analysis
Agent Canvas: manage multiple agents in one workspace
Cloud agents run even when your machine is off
Schedule recurring tasks via cron or event triggers
Trigger workflows from GitHub, Slack, PagerDuty
Model-agnostic: supports Claude Code, Codex, Gemini CLI, MiniMax M2.7
Isolated sandbox execution on VM or cloud
Fine-grained access control and budget guardrails
Audit trails for enterprise compliance
Self-hosted deployment in your VPC
Open-source SDK for custom agent development
In-chat model switching with saved LLM profiles
