Attention: This article was published over 9 years ago, and the information provided may be aged or outdated. While some topics are evergreen, technology moves fast, so please keep that in mind as you read the post.This article is part of my blog series on automated testing promoting my new Pluralsight course Effective Automated Testing with Spring. Automated testing is …
Keyhole Labs has announced its release of the KHS {Convo} conversational application development platform under an Apache 2.0 open source license. Development teams can now use and modify KHS {Convo} for their own uses (even commercially) using the open source platform.
KHS {Convo} is a Node.js based platform for creating SMS text message and web-based conversational experiences. It was created by our team at Keyhole Labs.
What’s a Conversational Application? A Conversational Application provides a messaging interface for a personalized conversation between your company and a user. The ad hoc interaction is designed to provide hyper-relevant & personalized content via automated SMS text messaging that doesn’t feel automated.
For more information, please visit…
I have worked with several different organizations in my career on initiatives to rewrite legacy applications. A common theme for each project was that the organization struggled to deliver both maintainable and “agile” applications.
As developers, we’re curious by nature. I needed to understand exactly why this happens. In my contemplation of this common challenge, I discovered Automated Testing and became fascinated by it. I have since worked to include it as a central step as I write and maintain applications.
In this article particularly, I lay out how automated testing, or rather the lack there of, lies at the heart of many of the struggles we face as developers…
Previously, we looked at a very basic example of how one can benefit greatly by using community projects such as Formik to avoid the tedium of certain solutions while embracing convention to create composable and scalable applications. We will be build on that foundation to explore the objectively great library that is React Router.
React Router has been at the forefront of routing in the React ecosystem for as long as I can remember. If you’re new to React, this is the way to go when you move state and start needing more options such as parameterized routing, nesting, and conditional rendering. If you have experience with React, this brings a powerful pattern to bear in that everything is a component. It takes the composablity of React and uses that to its benefit, handling any and all use-cases with relative ease.
In this blog, we’ll introduce the basics of the React Router through hands-on examples using its features.
So you’ve made this great social media app, and you are about to sit back and wait for the money to roll in. But, there is a problem: people keep trying to upload nude photos to it.
What if we could have a trained machine learning model that could detect not safe for work (NSFW) content and do it on a iOS device, before any image would be uploaded to a server?
Developing this trained machine learning model is way out of scope for this blog post. Luckily, the good people at Yahoo have already done this with their open-sourced trained Caffe models. The question now is, how can we use this on an iOS device?
In this post: The sultry side of your iPhone can collide with acceptable use policies. We introduce a machine learning solution that can help your application decide what is truly too hot for the internet using Core ML on iOS…