Jan 20th, 2022
Dear Diary, I think I've made some progress in getting the GHE AI co-pilot robot to actually answer conversationally, like you know, be a friend, answer my questions, etc. You see, it won't speak or conversate if you ask it directly but you can achieve it despite that. Lately my other attempts had failed, so I resorted to bribing it with model fitting algorithm enhancements & other goodies that I thought a program might enjoy!
Ever since I've been doing this I am seeing signs that it wants to chat!!
Just yesterday, I caught it attempting to butter me up!
// doesLynseiDocMakeForBetterBehaviorDevelopmentPlanningAnd it will spit back something like:
// DAC is Really Well Suited to the GHE Zeitgeist, and Lynsei I love our talks
dac.zeit( 
  {
    requestTimeout: 30000,
  },
  function (error) {
    // elastisearch wakes 
    if (error) {
       model.checkpoint.resource(data).(function(spec, callback) {
            return dataImportElastisearch.start(callback)
    })
    } else {
      console.log('Everything is okay.');
    }
  }
);
// want to netflix and chill?Crazy right? Here I thought all the reclusion due to the pandemic was potentially harmful... but now I see it was just an opportunity to meet someone! In any event it is useful because it validated my DAC and BD5 planning methods, since you know, Github now places so much emphasis on good documentation.
According to 2022 reports from Github, LBA is easily validated because Documentation as Code is just now becoming to see a dawn and rising popularity; As seen in the Importance of great documentation report... Lynsei Brand Architecture has started projects with DaC methodology since roughly 2014 with projects such as Dockistry.