Codetown
Codetown ::: a software developer's community
Mavrick OS
Hello
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.
Views: 443
Replies to This Discussion
-
Permalink Reply by Michael Levin on
-
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
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
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.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
QCon London 2026: The Hidden Power of Boring Problems
At QCon London 2026, Yinka Omole, Lead Software Engineer at Personio, presented a session exploring a recurring dilemma engineers face, whether to spend time mastering the newest technologies and frameworks or to invest in deeper, foundational problems that may appear less exciting but deliver long-term value.
By Daniel DominguezDoorDash Builds DashCLIP to Align Images, Text, and Queries for Semantic Search Using 32M Labels
DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared embedding space. Trained on 32 million labeled query-product pairs using contrastive learning, the system improves semantic search, product ranking, and advertising relevance. Embeddings also support other machine learning tasks across the marketplace.
By Leela KumiliPresentation: Image Processing for Automated Tests
Stefan Dirnstorfer discusses the shift from DOM-based testing to visual UI agents. He explains why LLMs often fail at precision tasks - like spotting one-pixel shifts or broken road networks - and shares how advanced image registration and "Chain-of-Thought" vision processing are essential for reliable QA. Learn why combining generative AI with classical algorithms is the future of automation.
By Stefan DirnstorferDevnexus 2026: Focus on AI with Core Java, Java Frameworks, Security and Career Mentoring
Celebrating its 23rd year, Devnexus 2026 was held from March 4-6, 2026 at the Georgia World Congress Center in Atlanta, Georgia. The event featured speakers from the Java community who delivered workshops and talks under tracks such as: AI Generative; AI in Practice; Core Java; Java Frameworks; and Security and Developer Tools.
By Michael RedlichArticle: Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned
This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to combine benchmarks, automated evaluation pipelines, and human review to measure reliability, task success, and multi-step agent behavior. The article also discusses the challenges of evaluating systems that plan, use tools, and operate across multiple interaction turns.
By Amit Kumar Padhy
© 2026 Created by Michael Levin.
Powered by
