How I lost my QA job

Github Copilot and tools that help us code better are cool. But I’m lucky if I spend 90 minutes a day writing code. We really need to optimize the hours we spend reviewing code, updating tickets and tracing where our code is deployed. Learn how I save an hour a day streamlining non-coding tasks. This talk is unique because 99% of developer productivity tools and hacks are about coding faster, better, smarter. And yet the vast majority of our time is spent doing all of this other stuff. After I started focusing on optimizing the 10 hours I spend every day on non-coding tasks, I found I my productivity went up and my frustration at annoying stuff went way down. I cover how to save time by reducing cognitive load and by cutting menial, non-coding tasks that we have to perform 10-50 times every day. For example: Bug or hotfix comes through and you want to start working on it right away so you create a branch and start fixing. What you don’t do is create a Jira ticket but then later your boss/PM/CSM yells at your due to lack of visibility. I share how I automated ticket creation in Slack by correlating Github to Jira. You have 20 minutes until your next meeting and you open a pull request and start a review. But you get pulled away half way through and when you come back the next day you forgot everything and have to start over. Huge waste of time. I share an ML job I wrote that tells me how long the review will take so I can pick PRs that fit the amount of time I have. You build. You ship it. You own it. Great. But after I merge my code I never know where it actually is. Did the CI job fail? Is it release under feature flag? Did it just go GA to everyone? I share a bot I wrote that personally tells me where my code is in the pipeline after it leaves my hands so I can actually take full ownership without spending tons of time figuring out what code is in what release.

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When writing code there are many common repetitive tasks that we need to write but don't want to invent ourselves, such as CRUD operations, http client etc. There are of course many frameworks and packages that we can use and rely on but we need to learn how to use them. So in most cases for implementing common operations and patterns we find ourselves searching in Google. With very basic string syntax we search for what we are looking for and usually the search engine will give us back a Stack Overflow solution. In most cases we will copy and paste it (or some similar version of it) to our IDE. This process is time consuming, error prone and distracting, we lose our focus and context every time we leave the IDE to the browser and make decisions on our code that might be risky. However, relying on the knowledge of the developer community is important and very helpful for all of us. So Instead of searching on the web for solutions, it seems that integrating stack overflow inside our IDE will make developers more efficient and less likely to make mistakes. With the continued growth of technology, prediction tools such as Intellij and AI systems a new line of developer tools emerges such as CoPilot , Kite and TabNine that are going to shape the future of developers. These tools have an AI engine that is able to give code suggestions for whole lines or entire functions right inside the IDE based on simple sentences. This might sound scary for many of us developers, as it's going to change the way we work but I actually think it's exciting. In my talk I am going to share with you a bit more details about these tools and how they work and why I think all of us should take part in shaping our future.

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