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Showing posts from March, 2025

Mitigating the Challenges in Micro-frontend Architectures

Defining Micro-frontends and Their Growing Adoption Micro-frontend architecture represents a modern paradigm in web application development, wherein the frontend of an application is decomposed into smaller, independent, and self-contained units known as micro-frontends. These micro-frontends are developed, tested, and deployed autonomously by independent teams, mirroring the principles of micro-services that have gained prominence in backend development. Key characteristics of this architectural style include the ability for each micro-frontend to be owned by a separate development team, to operate independently, and to be deployed without impacting other parts of the application. Notably, micro-frontends within the same application can even be built using different technology stacks, offering teams the flexibility to choose the most suitable tools for their specific needs. The increasing adoption of micro-frontends in contemporary web development can be attributed to several compelli...

Using the Secretary Problem to Hire the Best Engineers

Hiring the right candidate for an engineering position is a complex task. Employers must balance efficiency with the goal of selecting the best possible applicant. One intriguing method for approaching this challenge is the Secretary Problem, a classic mathematical strategy used to optimize selection in a sequential decision-making process. But does it work in today's hiring environment, and is it practical given real-world constraints? What is the Secretary Problem? The Secretary Problem is a famous mathematical decision-making strategy that helps select the best option from a sequential pool of candidates. The algorithm works as follows: Review and reject the first n/e candidates (where e ≈ 2.718 is Euler’s number). Set the best candidate among them as a benchmark. Continue interviewing, selecting the first candidate who is better than the benchmark. If no better candidate appears, select the last applicant by default. This method maximizes the probability (about 37%) of picking ...