Become An Engineer Influencer [Part 6] - LinkedIn and Twitter

[Office Hours] Doubling Your Impact As An Engineer By Doubling Your Empathy

Session led by [Ryan Kuck](https://www.linkedin.com/in/ryan-kuck/)

A core theme on Taro is that by increasing empathy you will build better, stronger relationships with your teammates. Additionally by having empathy for your manager, you will simplify your communication with them and make it easy for them to see your impact. And while it is tempting to put up a pull request as soon as the code is done, taking extra time to divide it into small, thoughtfully crafted pull requests that make OTHER people's life easier will make you a joy to work with. All of this is *slightly* counterintuitively about taking time to understand someone else better to make their life better which actually is a practice that makes your life a lot better.

Let's get together and swap stories about this! If you landed a promotion from thinking about the user's perspective and building a new feature for them, or you built an internal tool that saved other folks from having to do a repetitive task, please join and share! Also welcome is anyone who has a challenging work situation and is wondering if increasing empathy could help improve it.

Paper Reading: Refactoring vs Refuctoring: Advancing the state of AI-automated code improvements

Paper Discussion led by [Adi Pratheek](https://www.linkedin.com/in/pratheekadi/)

"**Refactoring vs Refuctoring**" is the conclusion of a benchmark study of the most popular Large Language Models (LLMs) and their ability to generate code for refactoring tasks. This paper aims to illustrate the current standards and limitations, and seek to show new methodologies with higher confidence results.

**What's in store?**

In this paper reading session, we will be examining:

- The performance of the most popular Large Language Models (LLMs) on code refactoring
- How does an AI err?
- A novel innovation by CodeScene for fact-checking the AI-output and augmenting the proposed refactorings by measuring the confidence levels

Companies build pretty substantial codebases over a period of time (sometimes decades). As and when the companies grow, a significant amount of time and energy are constantly invested by development teams on code refactoring (also covered in this paper).

But, how well do the existing AI tools/models actually perform this task? Are we there yet to confidently say "**AI will replace software developers**"? Join this session where we dive deep into the paper to find more answers.

Link to the paper: [**Refactoring vs Refuctoring: Advancing the state of AI automated code improvements**](https://codescene.com/hubfs/whitepapers/Refactoring-vs-Refuctoring-Advancing-the-state-of-AI-automated-code-improvements.pdf)\
Event Link: <https://www.jointaro.com/event/paper-reading-refactoring-vs-refuctoring-advancing-the-state-of-ai-automated-code-improvements/>

The Plan To Make Taro Q&A Suck Less - 9/13/2022

- **Update:** Literally a few hours after recording this video, the ability to like answers on Taro web was shipped.
- The #1 priority with the Q&A platform is adding notifications. Here are some important ones:
  - Being notified when someone answers a question that you have asked
  - Being notified when someone likes an answer that you have shared, as you should be able to feel good if you have shared your wisdom in a high-quality answer
- Overall strategy: Make the process of asking a question and getting answers delightful and silky smooth, as you can't have answers without questions. From there, make it a great experience and rewarding to answer questions.
- Ideas:
  - The ability to write a private "Thank You" note to someone who left a really great answer on your question.
  - Question askers can choose and highlight an answer on each of their questions, which helped them the most. This is another way to let question answerers know the impact they're having.

Tech Career Growth Videos

Our instructional videos provide software engineers with insights needed for career growth. Masterclasses go incredibly in-depth on a specific tech topic while case studies are real examples from established engineering leaders.

Become An Engineer Influencer [Part 6] - LinkedIn and Twitter

[Office Hours] Doubling Your Impact As An Engineer By Doubling Your Empathy

Paper Reading: Refactoring vs Refuctoring: Advancing the state of AI-automated code improvements

The Plan To Make Taro Q&A Suck Less - 9/13/2022