Introduction to PIE
At Cybage, our Product Intensive Engineering (PIE) framework stands as a testament to our unique approach to engineering excellence. Rooted in bringing in continuous improvement, PIE is meticulously crafted to eliminate inefficiencies and streamline processes across the entire software development lifecycle. At the core of this framework is data—collected at every stage of the engineering journey through an ecosystem of tools. This data-driven insight enables us to measure performance through mutually defined KPIs, specifically tailored to client priorities. By baselining these KPIs, PIE uncovers inefficiencies within the value stream, which are eliminated through a culture of continuous improvement backed by the right processes, tools and automation approaches. The result is high-quality software, optimized for revenue generation and delivering an enhanced total experience.
The PIE framework optimizes the product engineering value stream through a structured approach:
Empathize: Aligning development efforts with user expectations is crucial. In this stage, the focus is on developing a deep understanding of the user's perspective to ensure the product meets their needs and addresses their problems effectively. All requirements are tracked and organized using requirements management tools.
Develop: Implementing efficient and effective engineering practices is at the heart of this stage. It includes automated code analysis, unit testing, infrastructure-as-code, and build automation, among other practices.
Strengthen: Continuous improvement and refinement of processes are essential for long-term success. This stage emphasizes the importance of continuously shifting left, be it using code quality tools, security scanning , performance and load testing tools and QA automation in the CI pipeline to strengthen the product as it is developed iteratively.
Observe: This stage involves continuously observing and monitoring the product to understand usability and proactively gauge problems/failures. Closely monitoring software health parameters like logs, services, and infrastructure helps us dive deep into user behavior patterns and plan for improvement, ensuring a seamless and resilient user experience.
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