Codetown ::: a software developer's community
This just in: The Definitive…Continue
Tags: python, jvm, jim baker, java, jython
Started by Michael Levin Aug 19, 2009.
You may get an e-copy at a pretty low price. Check it out at http://www.artima.com/shop/programming_in_scalaHave fun!-ZContinue
Started by Zemian Deng Nov 22, 2008.
In case you missed it, the new release marks a important date for them. Besides few big features and bugs fixes added, this release will mark as the implementation reference of their official…Continue
Tags: scala
Started by Zemian Deng Nov 14, 2008.
Here I attached two scripts that might help you working with jar files.Have you tried to verify that a Class must exists in a lib directory that has few dozens jar files? For example I read from a…Continue
Started by Zemian Deng Sep 11, 2008.
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Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
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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