Understand the toolchain path.
MARFI can show how work moves between IDE, browser, terminal, issue tracker, documentation, and collaboration tools.
MARFIInsight AI
Software work spans IDEs, terminals, browsers, tickets, docs, chats, observability tools, and internal dashboards. MARFI helps teams understand that flow and, where appropriate, collect demonstrations for developer agents.
Workflow telemetry and AI training data for software teams.
MARFI can show how work moves between IDE, browser, terminal, issue tracker, documentation, and collaboration tools.
Developer productivity is often lost in environment issues, repeated lookups, and cross-tool handoffs. MARFI gives leaders a factual layer for those patterns.
With consent and Trajectory, teams can collect state-action examples that reflect real developer workflows instead of clean-room tasks.
These pages are written to be useful to humans first, while giving search and AI systems clear, citable product facts.
It can provide a telemetry layer for tool usage, context switching, and repeated workflow analysis.
MARFI is designed around work telemetry and capture tiers. Sensitive visual or action capture depends on plan and user consent.