Initially, iPhone SDK development was largely done in isolation-- the SDK doesn't support dynamic frameworks and making a static library was not obvious if you weren't already used to writing code for the Mac. As time has progressed, a number of people have published frameworks, libraries, or just plain code that does a specific task, does it well, and is intended to be integrated into other iPhone applications.

There's a number of such projects that I've found useful and, in some respects, indispensable:

PLCrashReporter ( http://code.google.com/p/plcrashreporter/ ): a library that captures application crashes so that you can then do something with them. While Apple now provides crash reports to you via iTunes connect, I use this and get immediate delivery of problems almost as they happen. In most cases, by using this, I've already been notified of a problem, fixed it, and have uploaded the corrected application before the crashes show up in iTunes connect.

JSON Framework ( http://code.google.com/p/json-framework/ ): a JSON library for Objective-C. Very useful if you're talking to a server.

ASIHTTPRequest ( http://allseeing-i.com/ASIHTTPRequest/ ): a CFNetwork based framework that makes dealing with RESTful web services easy.

Three20 ( http://github.com/joehewitt/three20/tree/master ): A framework by Joe Hewitt that provides many of the user interface components used by the current iPhone Facebook application. It's biggest shortcomings are the lack of documentation and the tight coupling between the various components.

ObjectiveResource ( http://iphoneonrails.com/ ): serialization to/from a Ruby on Rails based application using Rails standard web-services.

LLamaSettings ( http://code.google.com/p/llamasettings/ ): provides a relatively easy way of making standard looking Settings screens.

KCalendar ( http://code.google.com/p/kcalendar-iphone/ ): a simple calendar view, modeled after the built in calendar application.

What other such frameworks are you using?

Views: 30

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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

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.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

GitHub Agentic Workflows Unleash AI-Driven Repository Automation

Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository tasks using coding agents that understand context and intent, GitHub says. This enables workflows such as automatic issue triage and labeling, documentation updates, CI troubleshooting, test improvements, and reporting.

By Sergio De Simone

Presentation: Panel: Modern Data Architectures

The panelists emphasize that data engineering is no longer just about "click-and-drag" UI tools; it is software engineering applied to data.

By Fabiane Nardon, Matthias Niehoff, Adi Polak, Sarah Usher

How Dropbox Built a Scalable Context Engine for Enterprise Knowledge Search

Dropbox engineers have detailed how the company built the context engine behind Dropbox Dash, revealing a shift toward index-based retrieval, knowledge graph-derived context, and continuous evaluation to support enterprise AI at scale

By Matt Foster

Uber and OpenAI Retool Rate Limiting Systems

Uber and OpenAI are replacing static rate limits with adaptive, infrastructure-level platforms. Uber’s Global Rate Limiter utilizes probabilistic shedding to manage 80M RPS, while OpenAI’s Access Engine implements a credit waterfall to prevent user interruptions. Both architectures utilize distributed enforcement and soft controls to maintain system stability and service continuity at scale.

By Patrick Farry

Moonshot AI Releases Open-Weight Kimi K2.5 Model with Vision and Agent Swarm Capabilities

Moonshot AI released Kimi K2.5, their latest open-weight multimodal LLM. K2.5 excels at coding tasks, with benchmark scores comparable to frontier models such as GPT-5 and Gemini. It also features an agent swarm mode, which can direct up to 100 sub-agents for attacking problems with parallel workflow.

By Anthony Alford

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service