Describe the dashboard. Waydev builds it.
Compose the KPIs your teams care about from plain language: AI ROI for one team, spend against quality, agent output by repo. Waydev assembles the metrics, charts and targets in seconds.
Every leader wants a different view. Building them takes weeks.
The BI queue
Each new question becomes a ticket for a data analyst.
Metric definitions drift
Two dashboards, two numbers for the same thing, and a meeting to settle it.
Static views age fast
The AI program changes monthly. Dashboards built last quarter answer last quarter’s questions.
Ask a question. Add the answer to a dashboard.
Ask Waydev answers in plain language, draws the chart from your live engineering data and lets you add it to a dashboard in one click.
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1
Ask in plain language
“How has AI usage grown across teams this quarter?”
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Get a chart grounded in your data
AI adoption rate by team, week by week, with the trend and a written summary.
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3
Add it to a dashboard
Pin the chart to an existing dashboard or create a new one, then keep editing.
AI usage grew across every team this quarter, with an overall adoption rate of 71%. Platform leads at 79% and QA follows at 75%. Adoption peaked above 90% in late July and August, then dipped in late September.
Custom dashboards, at the speed of a question.
Live in your stack, not another spreadsheet.
Connect your stack
Link Git (GitHub, GitLab, Bitbucket, Azure DevOps), Jira, CI/CD and your AI coding tools with read-only access.
Waydev maps the work
Every PR, review, ticket and AI session is tied to a team, an initiative and the tool or agent that produced it.
Act on Signals
Waydev Agent flags what changed, suggests Goals, and answers follow up questions in plain language.
Waydev reads engineering metadata through read-only APIs. Source code content is never ingested. Visit the Trust Center
Questions engineering leaders ask
Is this different from Custom Dashboards?
Can we edit what the AI built?
Which metrics are available?
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