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Ask the Community: How Do You Shift From Functional Teams to Value-Driven Teams?

Product Talk

Instead, they hand off work from team to team—the back-end engineers design the data model and system architecture, the front-end engineers build the interface elements, the mobile engineers work toward feature parity, etc. These teams can rarely deliver value on their own. In April 2023, CBC finished a 3.5-year

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Digital Sustainability: A Growing Frontier in Software Development

The Product Coalition

I would like to thank Tremis Skeete, Executive Editor of Product Coalition, for his valuable contributions to this article's research, development, and writing. Storage: The Backbone of Data Management Every application must store and retrieve data, whether on hard drives, solid-state drives, cloud storage, or networked systems.

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What Does a Security Engineer Do?

PMLesson's Ace the PM Interview

This article is part of our series on Security Engineering. If you're interviewing for engineering roles, don't miss our Complete Software Engineering Interview Course. This is not only because of the importance of the discipline but because the supply of qualified security engineers is too little.

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The Benefits of Leveraging Feature Toggles in Software Development

Split

Feature Toggles, or feature flags as they’re often called, are a powerful tool for software engineers. This is probably due to their ability to improve agility, accelerate time-to-market velocity, and increase reliability. In this article let’s cover the basics of feature toggles. This is a significant time saver and life saver.

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Product in Practice: Getting Value Out of In-App Surveys Takes Iteration

Product Talk

This meant that they could attach information like the user ID to the Typeform page and review it as part of the responses users provided. Tweet This While this system wasn’t perfect, it worked pretty well for Ellen’s needs. With the user ID, they could look the person up in Amplitude and see how active a user they were.

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How to Use Generative AI and LLMs to Improve Search

TechEmpower - Product Management

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. While traditional search systems are bound by the constraints of keywords, fields, and specific taxonomies, this AI-powered tool embraces the concept of fuzzy searching.

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Search at Intercom: Building our Elasticsearch cloud on AWS

Intercom, Inc.

Our product engineers are empowered to build great features, fast. For this reason, we chose to run exclusively on AWS and wherever possible, we make use of battle-tested AWS services, be it RDS Aurora for our relational databases, the Simple Queue Service (SQS) for our async workers or ElastiCache for our caching layer.