Skip to main content

There is no expert, there is only us

Chairs in my office

Once I was chatting with my teammates...

Me: "I wonder why it is always necessary to refer to this source, that source, has anyone done it, is there any research? While no problem is the same, no situation is the same. Why not use our own brains to create a whole new one? Why do we have to be the insiders to consult the outsiders? Isn't that very paradoxical?"


My teammate: "I agree with your point that no two situations will be exactly the same and that there is no one size fits all. But there's one like this, I don't think it's all the problems we're dealing with that only we can meet. So of course, if I can find a source to refer to first, it's still better. Just like when implementing a software feature, not every problem is the same. But I still have to go check to see if I'm the only one I've met? Or if someone has met me, I have to see if their method suits me before I decide to try it, but I don't blindly "they do it, I follow it". I want to find one that can balance Do Not Repeat (+ YAGNI) and Not Invented Here."


Me: "This is the climax and the difference between your point of view and mine. I still don't think something pre-reference is better. For me, we lose our creativity from that moment on. When faced with a problem, in the past, normally, I would act instinctively “How does the world solve this problem? Has anyone encountered this problem?”, but now “Wait! slowly....“, instead I try to ask myself “how am I going to deal with this”, because I know “there is no expert, there is only us”, which means we are the best people in this problem, what is our idea first? And obviously, no one can fully understand, so the step of finding out and referencing is the next step, not the first one. There are many cases where I don't have a pre-reference but I want to see how my idea will work in practice, I want to see that idea lives, and be verified by the real world."

Comments

Popular posts from this blog

Only allow input number value with autoNumeric.js

autoNumeric is a jQuery plugin that automatically formats currency and numbers as you type on form inputs. I used autoNumeric 1.9.21 for demo code. 1. Dowload autoNumeric.js file from  https://github.com/BobKnothe/autoNumeric 2. Import to project <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.11.0/jquery.min.js"></script> <script type="text/javascript" src="js/autoNumeric.js"></script> 3. Define a function to use it <script type="text/javascript"> /* only number is accepted */ function txtNumberOnly_Mask() { var inputOrgNumber = $("#numberTxt"); inputOrgNumber.each(function() { $(this).autoNumeric({ aSep : '', aDec: '.', vMin : '0.00' }); }); } </script> 4. Call the function by event <form> <input type="text" value="" id="numberTxt"/>(only number) </form> <script ty...

Why Business Rules Engine Matter

"A good DSL minimizes the 'communication gap' between a domain concept and the code that implements it" - Robert C. Martin A Use Case It looks like adopting a new technology is always driven by a business need. The organizations, such as banks, have their own business processes (such as data gathering and document management). These processes are different from others but usually the differences are not big. How do we build a product which can be reused the similar features but still be adaptable with the specific requirements of each bank? Then, the answer is we should have a library/framework. There is an idea that we can implement this library/framework by using a business rules engine. Which has the following benefits: Be able to modify implementation of business domain at runtime (such as XML, CSV) S ource code is more readable for both developers and domain experts. Therefore, source code can be consider it as a document Since Business Rules Engine...

The Evolution of Team Collaboration

I n my point of view, if a team has a good collaboration, team members will achieve the following: To be more effective To make work more enjoyable I have been working for a company for nearly four years as an software developer. Working on various projects from maintaining existing systems to developing a substantial product resulted in me moving to new teams three times. Actually, my most stable team lasted only around three years.  Every time I've moved to a new team, I have a chance to work with new members and a new team culture again. Indeed, I realize that there is a process of developing the team collaboration which gets better time by time. I think it is an evolution ! Phase 1: Poorly collaborate For example, that is when the team members have the following issues: Only work on his/her area of expertise Don't communicate to others Be not confident to take on new challages Don't listen to other members. Subsequently, the team ha...

Building Axon.ivy Projects on Bitbucket Pipelines

Read me  if you don't know what Axon.ivy (Ivy) is. Motivation -  Ivy projects are designed to be built on a continuous integration (CI) server like Jenkins - Today, Bitbucket supports for CI with Bitbucket Pipelines - We're using Bitbucket. Then, why not? It must be very cool and convenient for us if we can centralize our CI and VCS (version control system) tools in one place. Here is an approach We have to use a maven plugin called project-build-plugin  to build ivy projects. This plugin requires an instance of Ivy engine during building time. Bitbucket Pipelines allows us to specify our own docker image as a build environment. What we need to do  is to prepare our docker image with needed stuffs such as JDK, Maven, Ivy engine, etc. Step 1. Prepare Docker images For testing purpose, I already created two docker images: Maven and Axon.ivy engine. They are now available on Docker Hub This image for Maven using Oracle JDK 8 This image for Axon.iv...

Applying pipeline “tensorflow_embedding” of Rasa NLU

According to this nice article , there was a new pipeline released using a different approach from the standard one ( spacy_sklearn ). I wanted to give it a try to see whether it can help with improving bot’s accuracy. After applying done, I gave an evaluation of “tensorflow_embedding”. It seemed to work better a bit. For example, I defined intents “greet” and “goodbye” with some following messages in my training data. ## intent:greet - Hey! How are you? - Hi! How can I help you? - Good to see you! - Nice to see you! - Hi - Hello - Hi there ## intent:goodbye - Bye - Bye Bye - See you later - Take care - Peace In order to play around with Rasa NLU, I created a project here . You can have a look at this change from this pull request . Yay! When I entered message “hi bot”, then bot with “tensorflow_embedding” could detect intent “greet” with better confidence scores rather than bot with “spacy_sklearn”. The following are responses after executing curl -X POST loc...