With the increasingly ubiquitous nature of mobile devices and applications, if you’re not already thinking about mobile apps, you probably should be. This post focuses on methodologies and tools to employ, and pitfalls to avoid, in the development of highly functional, intuitive, and easy-to-use mobile web apps.Continue reading →
In a recent phone screen, I decided to use a class attribute in my implementation of a certain Python API. My interviewer challenged me, questioning whether my code was syntactically valid, when it was executed, etc. In fact, I wasn’t sure of the answers myself. So I did some digging.
Python class attributes. No one really knows when (or how) to use ‘em. In this guide, I walk through common pitfalls and conclude with a list of valid use-cases that could save you time, energy, and lines of code.Continue reading →
Elasticsearch provides a powerful, scalable tool for indexing and querying massive amounts of structured data, built on top of the Apache Lucene library.
Building on the foundation of Elasticsearch and the Elasticsearch-Ruby client, we’ve developed and released our own improvement (and simplification) of the Elasticsearch application search architecture that also provides tighter integration with Rails. We’ve packaged it as a Ruby gem named Chewy.
This post discusses how we accomplished this, including the technical obstacles that emerged during implementation.Continue reading →
The need to adapt legacy code and systems to meet modern day performance and processing demands is widespread. This post provides a case study of the use of Erlang and CloudI to adapt legacy code, consisting of a decades-old collection of multi-user game software written in C, to the 21st century.Continue reading →
Testing. It always seems to get left to the last minute, then cut because you’re out of time, budget, or whatever else. Management wonders why developers can’t just “get it right the first time”, and developers (especially on large systems) can be taken off-guard when different stakeholders describe different parts of the system.
With behavior-driven development, you can turn testing into a shared process that focuses on the behaviors of the system, why they matter, and who cares.Continue reading →
Making a basic Android app is easy. But making it reliable, scalable, and robust, on the other hand, can be quite challenging. With thousands of available devices pumped out from tons of different manufacturers, assuming that a single piece of code will work reliably across phones is naive at best. Segmentation is the greatest tradeoff for having an open platform, and we pay the price in the currency of code maintenance, which continues long after the app passes the production stage.
In this post, we’ll walk through a solution: automated crash reporting with ACRA and a Cloudant back-end, all visualizable with acralyzer.Continue reading →
Effective interviewing and hiring is as much of an art as it is a science. Nonetheless, approaches and methodologies do exist for evaluating the more subtle dimensions of a software developer’s skills and abilities. When used collectively, these techniques yield a highly effective screening process with a proven track record of success. That process is what this post is all about.Continue reading →
As modern web applications do more and more on the client-side (the fact itself that we now refer to them as “web applications” as opposed to “web sites” is quite telling), there has been rising interest in client-side frameworks. There are a lot of players in this field but for applications with lots of functionality and many moving parts, two of them stand out in particular: Angular.js and Ember.js.
Angular.js has already been introduced on this blog, so we’re going to focus on Ember.js in this post, in which we’ll build a simple Ember application to catalog your music collection. You’ll be introduced to the framework’s main building blocks and get a glimpse into its design principles.Continue reading →
When people think computational geometry, in my experience, they typically think one of two things:
- Wow, that sounds complicated.
- Oh yeah, convex hull.
In this post, I’d like to shed some light on computational geometry, starting with a brief overview of the subject before moving into some practical advice based on my own experiences in computational geometric programming with Python.Continue reading →
I’ve been an Engineer at Toptal for just about one year now, working on the same project since I joined the network: Ondello, a service that connects doctors and patients over WebRTC.
When I first joined Ondello, I was hired as a Senior Ruby on Rails Developer, tasked to build a service up from scratch. These days, we’re a team of multiple developers working on a fairly large, complex system.
With this post, I’d like to share the story behind Ondello. Specifically, I’d like to talk about: how a simple application became not-so-simple, and how our use of cutting-edge technologies posed problems I’d never considered before.Continue reading →
More often than not, the software we write directly interacts with what we would label as “dirty” services. In layman’s terms: services that are crucial to our application, but whose interactions have intended but undesired side-effects—that is, undesired in the context of an autonomous test run.
For example: perhaps we’re writing a social app and want to test out our new ‘Post to Facebook feature’, but don’t want to actually post to Facebook every time we run our test suite.
unittest library includes a subpackage named
unittest.mock—or if you declare it as a dependency, simply
mock—which provides extremely powerful and useful means by which to mock and stub out these undesired side-effects.
As a veteran telecommuter through multiple jobs in my career, I have witnessed and experienced the many joys of being a remote worker. As for the horror stories, I have more than a few I could tell. With a bit of artistic inclination and a talent for mathematics, I also have a fascination with patterns: design patterns, architectural patterns, behavioral patterns, social patterns, weather patterns—all sorts of patterns!
When I first encountered anti-patterns, I discovered a trove of wisdom I wish I had known before I had learned the hard way. Anti-patterns are recognizable repeated patterns that contribute significantly to failure. For example, the manager that keeps interrupting the employee in order to see if the employee is getting any work done is engaging in an anti-pattern that serves to prevent the employee from getting any work done!
Based on my own experiences and experiences of friends and co-workers, I am assembling descriptions of anti-patterns related to telecommuting.Continue reading →
If it ain’t broke, don’t fix it.
It’s a well known phrase, but as we know, most of the human technological progress was made by people who decided to fix what isn’t broken. Especially in the software industry one could argue that most of what we do is fixing what isn’t broken.
Fixing functionality, improving the UI, improving speed and memory efficiency, adding features: these are all activities for which it is easy to see if they are worth doing, and then we argue for or against spending our time on them. However, there is an activity, which for the most part falls into a gray area: refactoring, and especially large scale refactoring.Continue reading →
In 2007, Bennett Haselton revealed a minor hack with major implications: querying ranges of numbers on Google would return pages of sensitive information, including Credit Card numbers, Social Security numbers, and more. While Haselton’s hack was addressed and patched, I was able to tweak his original technique to bypass Google’s filter and return the same old dangerous results.Continue reading →
If you haven’t tried AngularJS yet, you’re missing out. The framework consists of a tightly integrated toolset that will help you build well structured, rich client-side applications in a modular fashion—with less code and more flexibility.
Congratulations, you’re an independent developer. From beginnings working maybe as a tester you’ve progressed to a team developer, then a senior developer, and now you’ve made another leap, the biggest of them all, to working directly with clients.
But where the other transitions were linear, this last one was exponential. While in the past you got your marching orders from an employer that worked with clients or was itself in the software business, now all those responsibilities that were once distributed between expert-testing, program management, etc., are all yours. And now you’re working with clients who are not in the software business; they’re in another business that needs a piece of software, and they don’t have a clear and precise vision of what they want from you. This is a far greater challenge than it appears.Continue reading →
Database tuning can be an incredibly difficult task, particularly when working with large-scale data where even the most minor change can have a dramatic (positive or negative) impact on performance.
In mid-sized and large companies, most database tuning will be handled by a Database Administrator (DBA). But believe me, there are plenty of developers out there who have to perform DBA-like tasks. Further, in many of the companies I’ve seen that do have DBAs, they often struggle to work well with developers—the positions simply require different modes of problem solving, which can lead to disagreement among coworkers.
In this article, I’d like to both provide developers with some developer-side database tuning tips and explain how developers and DBAs can work together effectively.Continue reading →
Inexperienced programmers often think that Java’s automatic garbage collection frees them from the burden of memory management. This is a common misperception: while the garbage collector does its best, it’s entirely possible for even the best programmer to fall prey to crippling memory leaks.
In this post, I’ll explain how and why memory leaks occur in Java and outline an approach for detecting such leaks with the help of a visual interface.Continue reading →
Python is amazing.
Surprisingly, that’s a fairly ambiguous statement. What do I mean by ‘Python’? Do I mean Python the abstract interface? Do I mean CPython, the common Python implementation? Or do I mean something else entirely? Maybe I’m obliquely referring to Jython, or IronPython, or PyPy. Or maybe I’ve really gone off the deep end and I’m talking about RPython or RubyPython (which are very, very different things).
While the technologies mentioned above are commonly-named and commonly-referenced, some of them serve completely different purposes (or at least operate in completely different ways). In this post, I’ll start from scratch and move through the various Python implementations, concluding with a thorough introduction to PyPy, which I believe is the future of the language.Continue reading →
Building games for the iOS platform can be an enriching experience in terms of both financial and personal growth. Recently, I deployed a Cocos2D-based game to the App Store. In this post, I’ll explain the process behind developing games for iOS, from Cocos2D through to publishing.Continue reading →
From the very first days in our lives as programmers, we’ve all dealt with data structures: Arrays, linked lists, trees, sets, stacks and queues are our everyday companions, and the experienced programmer knows when and why to use them.
In this article we’ll see how an oft-neglected data structure, the trie, really shines in application domains with specific features, like word games.Continue reading →