Codetown ::: a software developer's community
Just a little food for thought... If you use the new Mavrick OS on a MAC do you like it? or hate it? Why and Why not? I would like to hear how software developers feel about this.
Tags:
Jack, I haven't tried Mav yet but am excited both about it and the strategy behind it. What are your thoughts about it? I look forward to this discussion.
Jack, How are your explorations into Mavrick coming along? I have a 2008 MacBookPro running 10.6.8. I'm thrilled to see that I can switch to Mavrick since 10.6.8 was the terminal OS supported by this hardware. I'm very interested to hear what you've learned ... and others here at Codetown! All the best, Michael Levin
PS - Here's a link to Mavrick's hardware req'ts: http://support.apple.com/kb/HT5842?viewlocale=en_US&locale=en_US
Hi Jack - I am considering loading Mavericks onto my '08 MacBook Pro. I wonder whether it will run efficiently. Any ideas? /Mike
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.
Check out the Codetown Jobs group.

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
© 2026 Created by Michael Levin.
Powered by