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
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training
