Level Up Your Code Quality As A Software Engineer [Part 18] - Have A Test Plan

Test plans are something many tech companies don't do, and it's a shame. Pull request test plans are one of the easiest things you can do as a software engineer to really level up your code review experience and ultimately the quality of your code. This lesson will teach you:

- What a test plan is and the many, many benefits it provides. There's a reason Meta requires engineers to have a test plan in their diffs (pull requests)
- How to creative with your test plans when your code is hard to demo (very applicable for back-end facing engineers)
- The many benefits of having a thorough test plan and the many downsides of not having a test plan
- What the ideal test plan looks like, which we'll cover through a couple in-depth examples

Level Up Your Code Quality As A Software Engineer [Part 17] - Share The Context

Software engineers often have this flaw where they assume that everyone somehow automatically knows what they're doing and the nuances of the spare they're operating within. This often extends to their published pull requests. This lesson will teach you:

- The ingredients behind a high-quality context section on a pull request
- A simple tactic to greatly expedite your pull requests, build respect amongst your team, and get better feedback (hint: It's not just your teammates who can review your code)
- Exactly what a stellar context section looks like with an incredibly detailed, broken down example. This is a trademark sign of high-performing mid-level and senior software engineers

Level Up Your Code Quality As A Software Engineer [Part 16] - One Diff, One Thesis

One of the biggest and easiest ways to level up your code doesn't even lie in the code itself and is about how you split it up when submitting it for code review instead. This lesson will teach you:

- The most common way low-performing software engineers mess up their code when submitting it for review
- Why championing the concept of "One Diff, One Thesis" massively boosts your productivity alongside your code quality
- How to tell whether your pull request follows the principal of "One Diff, One Thesis" or should be broken up into smaller pull requests instead
- How to split up your technical task or project into chunks, so you can map out its pieces to a series of pull requests following "One Diff, One Thesis". We do this with an in-depth example further digging into the login flow

Level Up Your Code Quality As A Software Engineer [Part 15] - Make It A  Little Better Each Time

We all want to make big, fast strides, but this is often hard to actually achieve. When it comes to leveling up your code quality, a lot of the battle is incremental. This lesson will teach you:

- A framework you can apply to your code repeatedly to make it better and strengthen your coding skills
- How small improvements here and there can really add up over time to increase the quality of a codebase and build up your respect among the team
- An organic trick that Alex and all his mentees used at Meta to strongly succeed on the technical axis and get promoted fast

Level Up Your Code Quality As A Software Engineer [Part 14] - How To Handle Migrations

There is term called "promotion-driven development" where software engineers propose big refactors and migrations to look good but don't fully follow through. This is especially common in Big Tech. This lesson will teach you:

- How to do code migrations properly
- How to judge the quality of a codebase based off of its consistency and how "good, modern code" can actually be harmful to the health of the codebase overall
- The mental and operating model behind how new engineers code, which is especially important if you're a tech lead (never forget this!)

Level Up Your Code Quality As A Software Engineer [Part 13] - Lay Out The Plan

It's tempting as a software engineer to leap straight into the code and start being productive. However, this can often cost you time in the long-term, especially with more technically complex tasks. This lesson will teach you:

- Why it's important to create a plan to increase your code quality, move faster, and build up relationships with your teammates
- What goes into a rock-solid coding plan (hopefully you were paying attention during the prior parts of the course!)
- Exactly what a good technical plan looks like with a concrete, real-life example from Taro

Level Up Your Code Quality As A Software Engineer [Part 3] - The Myth About Better Code

So many software engineers and engineering managers don't actually understand the relationship between code velocity and code quality. This lesson will teach you:

- Why code quality and code velocity aren't at odds with one another, completely busting the myth that writing better code makes you ship more slowly as a software engineer. In fact, they actually go quite well together!
- The true, nuanced relationship between how good a software engineer's code is and how fast they move
- Where you want to be as a software engineer when it comes to balancing code quality and code velocity
- How the highest-performing software engineers use their stellar code quality as an asset to move faster and land more impact than everyone else

Level Up Your Code Quality As A Software Engineer [Part 8] - Case Study: Instagram vs. Robinhood

Trying to nail down what good code looks like is equivalent to trying to staple jello to a wall. Almost every software engineer looks up to FAANG and FAANG-adjacent companies, and that's what this lesson will cover in-depth with an example. This lesson will teach you:

- The engineering philosophy behind Instagram's Android codebase, its unique attributes, and its priorities
- The engineering philosophy behind Robinhood's Android codebase, its unique attributes, and its priorities
- Why taking Instagram Android code and pasting it into Robinhood would have been terrible despite it being industry-leading in its own context (and vice-versa)

Level Up Your Code Quality As A Software Engineer [Part 9] - Focus, Focus, Focus

A lot of software engineers falsely believe that having every tech stack ever on your resume means that you are the perfect interview candidate as you qualify for the most jobs. The reverse is actually true, and championing that strategy leads to massive gains in both your code quality and job prospects. This lesson will teach you:

- The real recipe for being highly paid and easily hired as a software engineer
- Signs that you have become a true technical master in your domain and are now ready to move on to other tech stacks
- How to structure your journey as an earlier-in-career software engineer (5 years of experience or less)
- How to navigate the junior engineer career trap that is "full-stack" engineer
- What hiring managers look for in engineering candidates, especially at Big Tech
- The overall technical mastery trajectory for software engineers and how you can reach the top
- Why focus is so important for your longer-term learning as a software engineer

Level Up Your Code Quality As A Software Engineer [Part 10] - Sweat The Details, Call Out Edge Cases

Building software that "works" is easy. Building software that truly works in all viable scenarios is hard and what separates the great engineers from the mediocre ones, especially at Big Tech. This lesson will teach you: 

- Why mistakes are extremely punishing in software
- The relationship between the happy flow and edge cases
- Why being detail-oriented is an extremely valuable asset in tech, especially for your code quality
- The mental framework to have as a software engineer to proactively call out edge cases in a systematic way

Level Up Your Code Quality As A Software Engineer [Part 11] - Case Study: Signup Form Edge Cases

So how exactly do you figure out the edge cases with a piece of software? Well, it's hard work, especially as the volume of edge cases scales up exponentially with the complexity of the underlying feature. This video will teach you:

- A process to think through edge cases step-by-step through the stack with an *incredibly* in-depth example covering one of the most classic features virtual every tech company ever has: The email and password signup flow
- Why Big Tech companies hire so many software engineers to build out seemingly basic CRUD applications (hint: They're not basic, not at all, and the signup form case study will prove that to you)

Level Up Your Code Quality As A Software Engineer [Part 7] - Code Quality Isn't Static

Things would be so easy if we could just copy-paste the tech stack of our favorite FAANG company and call it a day. The bad news is that this is a prime recipe for disaster. This lesson will teach you:

- Why there's no such thing as objectively "good" code and the primary vector stopping that (hint: It's the only resource that matters)
- The right mentality to have when improving your specific codebase in your specific situation
- How to think about your code architecture as it relates to scale

Level Up Your Code Quality As A Software Engineer [Part 6] - Embrace The Pain

A defining characteristic of mediocre software engineers is that they run away from problems in their code and avoid confronting hard problems in general. This lesson will teach you:

- Why (and how) you should embrace the pain if you truly want to write better code as a software engineer
- The process to follow to go from writing bad code to good code
- What it means to actually learn system design
- How to level up your technical understanding with an in-depth example from Alex's past about how he truly mastered a deep Android concept and applied that mastery to learn iOS development almost instantly

Level Up Your Code Quality As A Software Engineer [Part 5] - Fake "Clean Code" Shortcuts

A lot of software engineers want shortcuts: They want to find the optimal tech stack, programming language, and framework to slot into their code so it's automatically the best and they have conquered code quality. Unfortunately, that's just not how code quality works. This lesson will teach you:

- Why having truly good code quality is so, so hard and more about building up fundamental technical skills
- How to have a proper senior engineer mentality around "clean code" and how to extend a codebase
- Common fake "clean code" shortcuts that engineers desperately want to believe but ultimately aren't true (often stemming from obsession with FAANG and Big Tech)

Level Up Your Code Quality As A Software Engineer [Part 4] - What ACTUALLY Makes Code Good

Code quality is one of the most misunderstood topics in software engineering due to a combination of engineering laziness and misinformation. This video will teach you:

- What ACTUALLY makes code good and high-quality and why we're even software engineers to begin with
- How to have proper empathy for the end-user
- The common mistakes software engineers make when determining how good code is, including a very common misconception about how FAANG works
- The true value of clean code patterns and how they add value to the end-user instead of just being buzzwords (that can potentially make the code worse when used incorrectly)
- The #1 guiding principal when it comes to writing truly high-quality code

Level Up Your Code Quality As A Software Engineer [Part 2] - Code Quality = Engineer Quality

Want to make a ton of money as a software engineer? Get incredibly good at writing stellar, high-quality code. This lesson will teach you:

- Why software engineers who write the best code get paid more than everyone else, especially at Big Tech
- The most common trait of low-performing engineers and high-performing engineers (hint: It's about code quality)
- The incredible benefits of striving to write high-quality code and the toxic downsides of writing mediocre code

To dive deeper into the differences between high and low performing software engineers, check this out: ["What's the difference between a low performer software engineer and a high performer?"](https://www.jointaro.com/question/nMxx2EMVIlJbl1oK4SGu/whats-the-difference-between-a-low-performer-software-engineer-and-a-high-performer/)

Level Up Your Code Quality As A Software Engineer [Part 1] - How This Course Works

It is so easy to get completely overwhelmed as a software engineer with so many possible skills to learn. This video (and broader course) will solve that dilemma for you by explaining why *code quality* is the #1 skill for software engineers. Here are the core parts of the lesson:

- Code quality is the technical foundation that helps you learn every other necessary skill as a software engineer, both the technical and non-technical ones
- Your instructor [Alex Chiou](https://www.linkedin.com/in/alexander-chiou/) walks you through his extensive 10+ year Silicon Valley background across top companies like PayPal, Course Hero, Meta, and Robinhood, explaining how code quality was an integral part of his success (he was a Top 5% code committer + lander at Meta).
- We go through the objectives of the course. By the end of the course, you will:
  - **🔎** Understand what **good code looks like** (and *doesn’t look like*)
  - 🌱 Set up the right **growth mentality** around code quality
  - 💻 Learn how to submit a **quality pull request**
  - 🍝 Avoid common **messy code patterns** (and how to fix them)

If you want to learn how Alex built so many successful side projects with top reviews and 100,000+ users, check this out: [\[Case Study\] Building An App With 1,000,000+ Users To Get Into Facebook](https://www.jointaro.com/lesson/jly45Gx6qR1kqQwBmJEy/case-study-building-an-app-with-1000000-users-to-get-into-facebook/)

Level Up Your Code Quality As A Software Engineer [Part 12] - Break It Down

Software is scary, especially when you get big projects that require thousands of lines of code to implement. This lesson will teach you:

- The steps to turn any tough technical problem into something that's quite manageable (and even easy)
- Why decomposition is one of the important skills for a software engineer to have at all levels
- A framework to plan out your commits and create a crystal clear roadmap for your code
- How to decompose coding projects in a systematic way, demonstrated through an in-depth example covering a classic software flow: User login

Paper Reading - Attention is All You Need

Paper Discussion led by [Mandar Deshpande](https://www.linkedin.com/in/mandardeshpande1995/)

"Attention is All You Need" is a seminal research paper published by researchers at Google in 2017, introducing the Transformer model. The paper revolutionized natural language processing and machine translation by proposing a new architecture that relies solely on self-attention mechanisms, eliminating the need for recurrent or convolutional layers.

This paper and the Transformer model it introduced are crucial in the context of Large Language Models (LLMs) for several reasons:

- Parallelization
- Long-Range Dependencies
- Efficient Attention
- Mechanism Pre-training and Transfer Learning

We will be discussing the internals of the Transformer architecture which will help guide our journey into the LLM space.

Paper link - <https://arxiv.org/abs/1706.03762?ref=blog.oxen.ai>\
Event link - <https://www.jointaro.com/event/paper-reading-attention-is-all-you-need/>

Paper Reading - Gemini: A Family of Highly Capable Multimodal Models

Paper Discussion led by: [Akshika Wijesundara PhD](https://www.linkedin.com/in/akshika/)

Abstract: Google researchers recently unveiled Gemini, a ground breaking family of multimodal AI models capable of understanding and reasoning across images, audio, video, and text. The largest Gemini model, Ultra, achieved human-expert performance on several benchmarks and advanced the state of the art across a range of multimodal tasks.

In this paper reading, we will discuss key details from Google's paper introducing Gemini models. Topics will include:

- The Gemini model architectures and how they achieve cross-modal understanding
- Performance benchmarks and state-of-the-art results across text, image, audio, and video tasks
- Applications and use cases enabled by Gemini's multimodal reasoning
- Approaches to responsible deployment of large language models like Gemini

This paper provides a comprehensive overview of the exciting new capabilities of Google's Gemini project. Whether you're an AI researcher, engineer, or simply curious about the state of the art in multimodal AI, join us for an in-depth look at this new model family.\
\
Paper link: [**https://arxiv.org/abs/2312.11805**](https://arxiv.org/abs/2312.11805)\
Event link:  **[https://www.jointaro.com/event/paper-reading-gemini-a-family-of-highly-capable-multimodal-models/](https://www.jointaro.com/event/paper-reading-gemini-a-family-of-highly-capable-multimodal-models/)**

Tech Career Growth Videos

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