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Description

Faros AI combines all your operational data from multiple sources and enhances them with machine learning signals. The Faros AI Engineering Operations Platform allows you to harness this data so you can accelerate productivity, and better manager your engineering operations. With Faros AI, engineering leaders can scale their operations in a more data-informed way — using data to identify bottlenecks, measure progress towards organizational goals, better support teams with the right resources, and accurately assess the impact of interventions over time. DORA Metrics come standard in Faros AI, and the platform is extensible to allow organizations to build their own custom dashboards and metrics so they can get deep insights into their engineering operations and take intelligent action in a data-driven manner. Leading organizations including Box, Coursera, GoFundMe, Astronomer, Salesforce, etc. trust Faros AI as their engops platform of choice.

Description

Unify your code, tickets, and additional resources for comprehensive visibility in software development, all centralized in a single platform. You can track aspects like scrum sprint completions, accuracy of estimates, lead times, and kanban work-in-progress, among others. Additionally, manage development time, cost capitalization, R&D credits, and overall project completions seamlessly. You can monitor bug-related metrics such as Service Level Agreements (MTTR), rate of change failures, thoroughness of reviews, total bug load, and beyond. Also, assess pull request cycle times, ticket lead times, time spent in various statuses, context switching, and flow efficiency, to gain deeper insights. All pre-built reports utilize the minQL query language and are completely customizable. With access to any field from any data source, you can develop tailored metrics using advanced formulas, which include custom event cycle times. Establish objectives and monitor your advancement toward reliable software delivery through minware’s extensive collection of scorecard metrics. Evaluate best practices related to code and tickets, such as the use of pull requests, detailed code reviews, and linking branches to tickets for optimal project management. Furthermore, the platform empowers teams to enhance their workflows and drive continuous improvement in software development practices.