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Development

Featured in Development

Beat the Plan: Probabilistic Strategies for Successful Software Delivery at Scale

Large-scale software delivery demands managing complexity across teams and organizations. Similarly to betting strategies in Vegas, embracing probabilistic thinking helps tackle uncertainty, shifting from rigid plans to adaptive systems. By making informed bets and designing for change, leaders can control volatility, respond to evolving conditions, and drive success in dynamic environments.

All in development

Architecture & Design

Featured in Architecture & Design

Empirical Observations on the The Future of Scalable UI Architecture

Willian Martins discusses a concise course of action regarding the patterns to introduce into a UI system and how to build UI architectures for scale.

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AI, ML & Data Engineering

Featured in AI, ML & Data Engineering

Denys Linkov on Micro Metrics for LLM System Evaluation

Live from the QCon San Francisco Conference, we are talking with Denys Linkov, Head of Machine Learning at Voiceflow. Linkov shares insights on using micro metrics to refine large language models (LLMs), highlighting the importance of granular evaluation, continuous iteration, and rigorous prompt engineering to create reliable and user-focused AI systems.

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Culture & Methods

Featured in Culture & Methods

Developing Regulated Software at the Speed of Innovation: Insights from Erez Kaminski

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Erez Kaminski about the challenges and importance of developing regulated software for safety-critical systems, emphasizing the need for validated DevOps and AI integration in industries like healthcare and automotive, while highlighting the balance between innovation, safety, and regulatory compliance.

All in culture-methods

DevOps

Featured in DevOps

From Anti-patterns to Best Practices: A Practical Guide to DevSecOps Automation and Security

Spyros Gasteratos discusses security patternsand provides alternatives to detrimental practices, along with a compilation of free and open-source tools endorsed by the community.

All in devops

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Mobile

Google Released Cloud IoT Core Client Library for Android Things

Google has released a client library to make it easy for developers to use Google Cloud IoT Core from Android Things devices. Developers can connect to the IoT Core MQTT bridge, authenticate a device, publish device telemetry, subscribe to configuration changes, and handle errors and network outages.

Diogo Carleto
on Jun 27, 2018
Mobile

Google's IoT Platform "Android Things" is Feature Complete

Google has released the latest preview version of Android Things, DP 8, which stabilized the API surface for the upcoming stable release.

Sergio De Simone
on Apr 18, 2018
Mobile

Android Things Brings TensorFlow-Based Machine Learning and Computer Vision to IoT Devices

Recently released Developer Preview 2 (DP2) for Android Things makes it easier to use TensorFlow for machine learning and computer vision on IoT devices. Additionally, it extends USB audio for several IoT platforms, adds Intel Joule support, and enables direct use of native drivers through a new Native PIO API.

Sergio De Simone
on Feb 13, 2017

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