A journey of a software engineer and computer science enthusiast
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Google I/O '18
Here are my top 5 impressions on this conference.
Gmail - live sentence suggestion
It looked like the way developers use intelligent code completion in an IDE when coding.
Google Photos: converting a photo has a document to pdf
I have a paid app on my iPad called "Scanner for Me" but now I can use Google Photos instead. ;)
Google Assistant: bot makes a real call to book a restaurant dinner or a hair salon
Wow! This feature, for me, is really a big innovation. My team is working so hard on building our bot which is able to have a continued conversation. Google is so good!
Google Maps: using Phone's camera to watch the direction
When I saw a fox as a cicerone on the demo, I was thinking of Pokémon GO.
Google Lens: extract text from images
I have heard a story from a friend of me that he had to use his app about "optical character recognition (OCR)" to scan and translate the texts into English whenever he saw texts in China. Google Lens would be a good helper for him now.
I just did by myself create a very simple app "HelloWorld" of JSF 2.2 with a concrete implementation Myfaces that we can use it later on for our further JSF trying out. I attached the source code link at the end part. Just follow these steps below: 1. Create a Maven project in Eclipse (Kepler) with a simple Java web application archetype "maven-archetype-webapp". Maven should be the best choice for managing the dependencies , so far. JSF is a web framework that is the reason why I chose the mentioned archetype for my example. 2. Import dependencies for JSF implementation - Myfaces (v2.2.10) into file pom.xml . The following code that is easy to find from http://mvnrepository.com/ with key words "myfaces". <dependency> <groupId>org.apache.myfaces.core</groupId> <artifactId>myfaces-api</artifactId> <version>2.2.10</version> </dependency> <dependency> <groupId>org.apache.myfaces.core<...
Check out my implementation here Background I wanted to have a tool for human beings to classify intents and extract entities of texts which were obtained from a raw dataset such as Rocket.chat's conversation, Maluuba Frames or here . Then, the output (labeled texts) could be consumed by an NLU tool such as Rasa NLU. rasa-nlu-trainer was a potential one which I didn't need to build an app from scratch. However, I needed to add more of my own features to fulfill my needs. They were: 1. Loading/displaying raw texts stored by a database such as MongoDB 2. Manually labeling intents and entities for the loaded texts 3. Persisting labeled texts into the database I firstly did look up what rasa-nlu-trainer 's technologies were used in order to see how to implement my mentioned features. At first glance rasa-nlu-trainer was bootstrapped with Create React App. Create React App is a tool to create a React app with no build configuration, as it said. This too...
User Story is the place PO gives his ideas about features so that developers are able to know what requirements are. Acceptance tests are these show the most valuable things of the features represented by some specific cases. Usually PO defines them, but not always. Therefore, refining existing acceptance tests – even defining new ones that cover all features of the User Story must be a worth task. Acceptance test with Given When Then pattern If we understand what we are going to do, we can complete it by 50% I have worked with some members those just start implementing the features one by one and from top to down of the User Story description. Be honest, I am the one used to be. What a risky approach! Because it might meet a case that is very easy to miss requirements or needs to re-work after finding any misunderstood things. I have also worked with some members those accept spending a long time to clarify the User Story. Reading carefully of whole User Story by defining...
Executing a large number of tests, especially integration tests, takes a lot of time. For instance, the pipeline of one of our projects for each Pull Request previously took nearly 30 minutes, including over 1 thousand test cases. This article guides you through several good techniques that we have discovered and applied to improve the time-consuming process. Parallel stages Analyze the current phases in your pipeline and categorize them in parallel. For example, we can separate the build and verify code of Node.js and Maven modules simultaneously in our Jenkins pipelines. Please mind using the setting failFast whether you want to abort the pipeline immediately. Read more: Parallel stages with Declarative Pipeline 1.2 (jenkins.io) Parallel test execution If you use Maven, t he plugin maven-failsafe-plugin is used to execute integration tests during phases integration-test and verify the build lifecycle. It allows us to execute tests in parallel. There are many settings related ...
Fansipan mountain As a mentor, I always give to my new members the following practices as my advice for mindset at work. “A over B” means while there is value in the items on the right, we value the items on the left more. Solution over Technology We should approach to solve the problems rather than depending on technologies. The technology limitation should not our excuse to reduce the quality of the feature. For example, we’re strong at React, but we are willing to learn a new framework Meteor due to customer needs. We are software engineers, we are good at problem-solving. Technologies are our toolbox. Contribution over Complaint When we encounter and find pain-in-the-ass issues such as lacking documentation, old frameworks/libs, lacking testing, etc.. we try our best to resolve them! Refer to The Boy Scout Rule: “Always leave the campground cleaner than you found it.” Collaboration over Following Sometimes you even need to consult customers to bring great custom...
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