iftrue is an AI governance and engineering intelligence platform for engineering leaders. It combines AI code attribution, DORA metrics, and team health in one view so leaders can measure AI adoption and engineering outcomes together.
Its feature set includes an assistant chatbot in Slack, real-time notifications, developer analytics, DORA metrics, AI impact tracking, daily check-ins and AI-powered 1:1 prep, developer experience signals, workload trends, capacity planning, reporting, investment distribution, and sprint forecasting. The product describes AI code attribution as per-PR attribution across Copilot, Cursor, and Claude, and says it can show which lines of code AI actually wrote. It also tracks deployment frequency, lead time, change failure rate, and mean time to recovery, and it presents leadership reports on where engineering time goes. Team-focused features include async dailies, burnout and workload balance signals, and preparation for one-on-ones.
The platform says it connects to the code, the delivery system, and the humans doing the work, with explicit references to GitHub, Jira, Linear, Slack, surveys, and 1:1s. It is described as running in the background, surfacing insight in Slack, and requiring no code changes or new tabs for engineers. The page also notes that it is GDPR ready.
iftrue includes a case study, a book-a-demo flow, and a 30-minute walkthrough, but no pricing information appears in the provided material. The footer calls it the engineering intelligence layer for the AI era.
iftrue sits in PulseGate's Analytics (BI, web, product) category. It focuses on providing engineering leaders with unified analytics on AI adoption, productivity, and team health. It is built as a B2B product for engineering leaders and managers. It runs on the web.
Among its 5 catalogued features are AI code attribution, DORA metrics, and team health analytics.
Summary written by a language model from the project’s public pages.
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