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I am new to Android. I have been working thru some examples in a book called Head First Android Development. I entered a small program using fragments and get a Casting Error.cannot cast…Continue
Tags: Fragment
Started Oct 10, 2017
My name is Rob Sobol.I have been working through a book called Head First Android Development.I hit a syntax error in a simple exercise that uses one fragment. I have been trying to figure out the…Continue
Tags: Fragments
Started Oct 10, 2017
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Luca Mezzalira shares a decision framework for micro-frontends, covering composition, routing, and communication. He explains how to structure "stream-aligned" teams and use a "tiger team" for foundational architecture. He also discusses the sociotechnical benefits of reducing external dependencies and shares how to use guardrails and discovery services to achieve 25+ deployments per day.
By Luca Mezzalira
Agoda engineers developed API Agent, enabling a single MCP server to access any internal REST or GraphQL API with zero code and zero deployments. The system reduces overhead from multiple APIs, supports AI-assisted queries, and uses in-memory SQL post-processing for safe, scalable data handling across internal services.
By Leela KumiliIn this episode, Thomas Betts chats with Muzeeb Mohammad about building event-driven microservices for financial systems. The discussion covers some of the core principles and patterns for event-driven architectures, reasons for using these patterns, and some of the challenges related to finance and other highly-regulated industries.
By Muzeeb Mohammad
Google Research tried to answer the question of how to design agent systems for optimal performance by running a controlled evaluation of 180 agent configurations. From this, the team derived what they call the "first quantitative scaling principles for AI agent systems", showing that multi-agent coordination does not reliably improve results and can even reduce performance.
By Sergio De Simone
In this article, the authors outline protocols for building extensible multi-agent MLOps systems. The core architecture deliberately decouples orchestration from execution, allowing teams to incrementally add capabilities via discovery and evolve operations from static pipelines toward intelligent, adaptive coordination.
By Shashank Kapoor, Sanjay Surendranath Girija, Lakshit Arora
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