Codetown ::: a software developer's community
Mobile devices prove to be a setback for cross-platform software development, but I hope it will be a minor one. At present, Android totally dominates the mobile market both in terms of hardware and software volume. As well, mobile devices are overtaking desktops for overall usage as we speak. But Linux, as open-source-friendly as it is appears to be getting the rub from Google, so where are we?
As Google continues to grumble about not controlling the world, they're leaking details about a new generations of phones not based on Linux, but on their own home-grown operating system (OS), Magenta. Meanwhile, Apple is doubling down on their proprietary platform with the introduction of Swift, their brand-new shiny programming language. Microsoft is 10 minutes late with Starbucks while literally trillions of dollars of Android and iOS devices have already graced the market.
But there are a few rays of promise for a more unified mobile future. First, cross-platform development has become widely accepted, with several major players, SaaS app store distribution, and even a foundational Apache project, namely, Cordova. Secondly, OS owners are showing some willingness to embrace that approach: Google's leaks include talks of their own IDE producing code for iOS, etc., Microsoft's collaboration with Xamarin, and new sprouts like Ubuntu choosing a language designed for portability. Finally, the peace treaty that is EcmaScript 2015 has cause web-browser technology based on HTML5 and JavaScript to explode, fostering a new era of platform-independent frameworks specifically designed for web and mobile.
Those major players have carefully plotted their moves to foster business ties with their suppliers, partners, and consumers alike. But that's always been their game. Open, free hardware and operating systems doesn't raise their profit margins: at least they have to sell ads, right? No, the reality is the US military has been steering their battleships with GPS since 1978. The fact that we could find restaurants based on our location until only recently is simply a matter of control. This is quite the opposite of the Enlightenment, where wealthy lords freely gave anyone willing and able to learn total knowledge of every subject possible. The point is: eventually power returns to the people.
For today and tomorrow, I'll be visiting caniuse.com to press the envelope of JavaScript development. Combined with private and hybrid cloud, I'm seeing modern, scalable infrastructure compatible with legacy systems in the enterprise. While business is business as usual, the bottom line keeps dropping, making it harder and harder for proprietary players to hold their mobile OS line of business. They'll have to open up their technology or go the way of Ma Bell. Just ask them how many land-lines they sell these days...
* Ismail Jones is a freelance web and mobile developer, owner of Azizah Solutions, and software architect at Cerner Corporation.
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.

To prevent agents from obeying malicious instructions hidden in external data, all text entering an agent's context must be treated as untrusted, says Niv Rabin, principal software architect at AI-security firm CyberArk. His team developed an approach based on instruction detection and history-aware validation to protect against both malicious input data and context-history poisoning.
By Sergio De Simone
Introducing Claude Cowork: Anthropic's groundbreaking AI agent revolutionizing file management on macOS. With advanced automation capabilities, it enhances document processing, organizes files, and executes multi-step workflows. Users must be cautious of backup needs due to recent issues. Explore its potential for efficient office solutions while ensuring data integrity.
By Andrew Hoblitzell
Meta has revealed how it scales its Privacy-Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using large-scale lineage tracking, PrivacyLib instrumentation, and runtime policy controls, the system enables consistent privacy enforcement for AI workloads like Meta AI glasses without introducing manual bottlenecks.
By Leela Kumili
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively decompose and process inputs, and can handle prompts up to 100x longer than base LLMs.
By Anthony Alford
Salesforce has completed a phased migration of more than 1,000 Amazon Elastic Kubernetes Service (EKS) clusters from the Kubernetes Cluster Autoscaler to Karpenter, AWS’s open-source node-provisioning and autoscaling solution.
By Craig Risi
© 2026 Created by Michael Levin.
Powered by