Level Up Your Code Quality As A Software Engineer [Part 24] - Infinite Layers Of Nesting

Nesting is great for birds, but terrible for code. Having too much nesting is one of the easiest ways to make code terrible. This lesson will teach you:

- Why deeply nested code is literally hard to read
- The early-return pattern to unfurl nested code
- How to compress conditionals properly (this includes how not to mess them up)

Level Up Your Code Quality As A Software Engineer [Part 23] - Everything In 1 Place

Monoliths and god-classes are 2 of the most common code anti-patterns, especially in Big Tech. They're extremely easy to fall into, and monolithic infrastructure is actually the right call for the vast majority of software as 99% of software is nowhere near the scale of FAANG. This lesson will teach you:

- Why the "Everything In 1 Place" anti-pattern is so damaging, not just for readability but developer productivity as well
- One of the most powerful clean code techniques: **The delegate pattern** (this is how Meta referred to it). It can go by other names, but the core concept is to understand how an interface works. Once you master this pattern, you'll be able to break up any large codebase into readable, focused, modular components. Delegates were easily the most commonly used clean code pattern back during Alex's time at Instagram. Alex goes through an in-depth example from the Taro app itself to walk you through exactly how this technique works.

If you want to learn more about Instagram's stellar engineering culture around code quality, check out this in-depth discussion: ["What do mobile testing strategies look like at top tech companies?"](https://www.jointaro.com/question/fpySzIO02aQ0sCz5N6dP/what-do-mobile-testing-strategies-look-like-at-top-tech-companies/)

Amazon Case Study: The Ultimate Guide To Navigating A PIP

Case studies are valuable to (1) realize that you are not alone and (2) learn from the experiences of others and see what you can apply.

We’ll start with a new grad Amazon engineer who joined during the pandemic.

- **Before**: First job out of college, was on Focus after 6 months
- **During**: Shocked when they found out (URA quota suspected). Manager became more “HR-like”, less candid
- **After**: Went through the PIP and failed, even though they showed improvement

How To Approach "Doing Your Own Thing" -- Startup Discussion And Feedback

This session is for *wantrepreneurs* (someone who wants to leave their full-time job and do a company) and early entrepreneurs. In the last two decades, more money and attention have gone to early-stage startups. It's easier and cheaper than ever to start a startup, especially if you're an engineer!

There are 3 paths to scratching the entreprenurial itch: 

1. Build something on the side
2. Lifestyle or indie business
3. VC-backed business (raising millions of dollars in venture capital)

### Build something on the side

This is where you should start -- build something on nights and weekends while maintaining your full-time position. You need to prove to yourself that you have enough skill and autonomy to create something of value **entirely on your own**. No professor, no manager, no tech lead. The 3 most common paths to building something on the side are to (1) publish an app, (2) do freelance/consulting work, or (3) teach your skills. As documented in [this blog post](https://www.jointaro.com/blog/the-best-engineering-side-hustle-teaching/), teaching is the best side hustle if you have in-demand engineering skills.

### Lifestyle or indie business

The goal with an indie business is to make a livable income with a small team selling a high-margin software product. I'd call the number as a project where you can make $100K+ annually. Founders in this bucket are working full-time on their business, but they likely have not taken any outside funding. One way to achieve this is to niche down enough and serve a neglected demographic, "*courses for left-handed pickleball players"* or "*a mobile app for senior citizens in the Bay Area to find activities"*.

### Businesses built with Venture Capital

Very few businesses fit this category, but you may not think that, since these few companies command the lion's share of time, attention, and money. These are companies that have a charter to take over the world, or at least to take over a market. In exchange for money, VCs will take equity in your company, and also likely have some governance power. The minimum benchmark to raise VC is usually a $1B opportunity with $100M in annual revenue, and there will be pressure to grow at 2x or 3x year over year for many years. 

If you'd like to build a VC-backed company, I recommend going through a credible accelerator like [**Y Combinator**](https://www.ycombinator.com/apply) like [**PearX.**](https://pear.vc/pearx-application/) 

A good pitch is used to get a potential investor excited about your company, yourself, and the vision you're presenting. It should contain a simple explanation of how your company creates value (skip the buzzwords), and explain who you serve. You should expect rapid-fire questions and skepticism. A good pitch has the following ingredients: 

- Use clear, simple words
- Get to the point
- Teach something
- Show why **you** are uniquely-equipped to solve this problem

Relevant resources:

- [**\[Taro Top 10\] Entrepreneurship And Tech Startups**](https://www.jointaro.com/playlist/ArtlSzF17v7cad1K6TJG/)
- Alex answering [**"How did you decide to quit your job and make a startup?"**](https://www.jointaro.com/lesson/beZzIkLUP28WinNQctlP/how-did-you-decide-to-quit-your-job-and-make-a-startup-9132022/)
- [**How can H1B (visa) holders do a startup?**](https://www.jointaro.com/lesson/N0TKzFWve7K7riyGx9rQ/how-can-h1b-visa-holders-do-a-startup/)
- [**How To Prepare To Leave Big Tech For A Startup**](https://www.jointaro.com/lesson/muNQH8uZSviN8P60RaKS/how-to-prepare-to-leave-big-tech-for-a-startup/)
- [**Taro at YC's Demo Day (Summer 2022)**](https://www.jointaro.com/lesson/81ACDLKEO9SVX964S1Yx/taro-at-ycs-demo-day-summer-2022/)

How Does FAANG Hire? What Big Tech Recruiters Look For

[**Nikita Gupta**](https://www.linkedin.com/in/guptanikita16/) worked as a Senior Technical Recruiter at Uber and Amazon with 3+ years of recruiting and hiring experience. She extensively used applicant tracking systems (ATS) to search for the right candidates and hire them.

Nikita is an expert in helping candidates create better resumes and LinkedIn profiles in order to land more job opportunities. Her company [CareerFlow.ai](https://www.careerflow.ai/?via=taro) does exactly this.

As a full-cycle recruiter with experience in Big Tech and startups, Nikita will talk about how FAANG companies hire, and what misconceptions engineers often have when applying to jobs. She'll cover:

- Does "keyword stuffing" in resumes increase the chance of getting an interview?
- What are the top 3 things a recruiter looks for when opening a resume?
- How much does the recruiter screen matter in the overall interview process?
- How much does your LinkedIn matter in the job search?

Discounts for CareerFlow.ai's resume review service are available from the [perks page](https://www.jointaro.com/perks/). Use code `TARO` on [CareerFlow](https://www.careerflow.ai/resume-review?via=taro). 

Additional resources:

- [**\[Taro Top 10\] Effective Interview Prep**](https://www.jointaro.com/playlist/HLBYxJI7D1j8STolrwum/)
- [**\[Masterclass\] How To Write A Stellar Tech Resume That Gets You More Job Opportunities**](https://www.jointaro.com/lesson/OnQV2V3J8DYVBBuGbZx6/masterclass-how-to-write-a-stellar-tech-resume-that-gets-you-more-job-opportunities/)
- [**\[Masterclass\] How To Ace Your Big Tech Interview - Data Structures And Algorithms**](https://www.jointaro.com/lesson/V4sTACzfOh22nMVcUV3w/masterclass-how-to-ace-your-big-tech-interview-data-structures-and-algorithms/)

Paper Reading Group: Attention Is All You Need

Generative AI, specifically large language models, have taken the world by storm. But they wouldn't exist today without a key paper published by Google Brain: "[Attention Is All You Need](https://arxiv.org/pdf/1706.03762.pdf)." The 10-page paper, published in 2017, introduced the Transformer - a critical innovation in neural networks.

**What's in store?**

- A deep dive and interactive discussion of the paper. We recommend reading (or at least skimming) it first: <https://arxiv.org/pdf/1706.03762.pdf>
- A look at what came before the paper (neural networks, embeddings), and what came after (BERT, GPT-2, and ChatGPT).
- **All software engineers welcome** - no AI/ML background necessary!

**Did you know?**

- The paper's authors have all gone on to found multiple billion-dollar AI companies including Cohere and [Character.ai](http://Character.ai).
- Since 2017, the paper has been cited over 86,000 times.
- The Transformer architecture is the **T** in "GPT".

**Your host:**

[Charlie Guo](https://www.linkedin.com/in/charlierguo/) is a seasoned founder and author with over 15 years of software experience and more than a decade in Silicon Valley. He is an alum of both Stanford and YCombinator, and currently publishes [Artificial Ignorance](https://www.ignorance.ai/about), an AI-focused newsletter for engineers and founders.

**The agenda:**

- Charlie will give a brief background, and then explain the key insights and context from the paper.
- We will open the group to some Q&A and a broader discussion.
- And we'll end with some discussion on which paper to read and review next.

The next paper reading group is on October 15 about [deep reinforcement learning](https://www.jointaro.com/event/paper-reading-group-human-level-control-through-deep-reinforcement-learning-deep-q-network/), led by Sai Bhavanasi.

Meta Case Study - Debugging A Massive Production Issue

Here we go through an example bug at Meta. Given the information, we need to figure out what kind of root cause is behind the issue. This case study shows:
- Why it's important to understand the blast radius of a bug
- How knowing the context behind a bug can help you locate the problem area
- The value of having robust analytics

This video is a clip from our debugging masterclass. You can watch it here: [[Masterclass] How To Become A Debugging Master And Fix Issues Faster](https://www.jointaro.com/lesson/ioR6WzamAIUTpySLAr7o/masterclass-how-to-become-a-debugging-master-and-fix-issues-faster/)

Related resources:
- [[Case Study] Solving A Multi-Million $$ Instagram Bug](https://www.jointaro.com/lesson/WYk4J05iBqOuPtD0CYKX/case-study-solving-a-multi-million-dollardollar-instagram-bug/)
- ["How can I become more independent and better at unblocking myself with tricky technical issues?"](https://www.jointaro.com/question/QhqQQGrDgFjZbqohpKe0/how-can-i-become-more-independent-and-better-at-unblocking-myself-with-tricky-technical-issues/)
- ["What is the effective way to understand new repository in order to make the required changes in that repo?"](https://www.jointaro.com/question/KoxB3UU2zWC9pdYU6Rx0/what-is-the-effective-way-to-understand-new-repository-in-order-to-make-the-required-changes-in-that-repo/)

How to Negotiate a Big Tech Offer as a Software Engineer - Pragmatic Engineer and Rahul

How does a compensation package look like for a software engineer at tech companies? How do base salary, annual bonus, equity (options, RSUs), sign-on bonuses and perks usually add up? What parts of the package can you negotiate? How can you line up multiple offers at the same time? We talk about these and more in the video. You can -- and should! -- negotiate any offer you receive from a Big Tech company. 

There are 4 primary parts to compensation in Big Tech: 
- Base salary
- Annual bonus
- Sign-on bonus
- Equity

Perks could also be considered part of the compensation package, but these are generally standardized across all employees for a company, so they're not considered for the purposes of negotiation. (Think of things like 401(k) match, free food, game rooms, etc.)

It's important to understand the different parts of compensation because you can start to shift the conversation with companies to be more cooperative rather than zero-sum. For example, some companies have strict bands for their base salary, but are more willing to negotiate on their equity. Knowing this, along with your own utility for different types of comp, can lead to a final decision where both sides are happy.

Throughout any negotiation, it's important to be respectful in your communication, and also consider factors beyond financial compensation, such as team dynamics and the hiring manager's perception. Don't rush into signing a contract without careful consideration -- negotiate terms over email to allow for proper reflection.

More resources on negotiations:
- [The #1 Rule Of Negotiation - How To Avoid Giving A Number](https://www.jointaro.com/lesson/4T3wTorG47wPzSqVmAOx/the-1-rule-of-negotiation-how-to-avoid-giving-a-number/)
- [[Case Study] How To Land 18 FAANG+ Offers With Steven Zhang (Airtable, USDR, Tableau)](https://www.jointaro.com/lesson/gGkO4pLeFq1ctRM9tSBF/case-study-how-to-land-18-faang-offers-with-steven-zhang-airtable-usdr-tableau/)
- [3 Quick, Powerful Negotiation Tips](https://www.jointaro.com/lesson/8VeEnbxdbPKsZbTcCFm5/3-quick-powerful-negotiation-tips/)


This is a video from [Gergely's YouTube channel](https://www.youtube.com/@mrgergelyorosz). 
- Original source: [https://youtu.be/cbngWLr7BC4](https://youtu.be/cbngWLr7BC4)
- Gergely writes the popular [Pragmatic Engineer newsletter](https://www.pragmaticengineer.com/).
- [Follow Gergely on Twitter](https://twitter.com/GergelyOrosz)

How Alex Made An App That Got 80k+ Users In 1 Month

### The Story
- In summer 2016, Pokemon GO took over the world. Alex saw a need for an app to figure out where certain Pokemon were, so he and a friend quickly created a Yelp-style crowd-sourced app tying Pokemon to locations (pulled from the Yelp API). Alex worked on the Android app, and the friend owned by back-end.
- The app immediately saw immense traction, going from a few dozen to a few hundred to a few thousand (3,000+) new installs *per day* within just a week. **After less than a month, the app had been used by 80,000+ people.**
- Alex ran into copyright issues publishing the app as it used Pokemon images. Despite the app being free, ad-free, and not even asking for donations, it kept getting rejected. To hack around this, a server-side flag was created to turn off the images as the app was in review and turn them back on when the app got approved.
- Google Play eventually found out about the trick and took down the app for copyright infringement. However, the app was impressive enough at this point that Alex could include it on his resume, and it helped a lot getting interviews and giving him something to talk about during them.

### Learnings
- *Building a marketplace is extremely difficult* - A marketplace product is one that's a platform and requires a certain amount of some valuable resource in order to be useful: It's not useful on its own in a vacuum. For example, Uber needs a supply of readily available drivers to be useful. In this app's case, it needed data on Pokemon locations, which had to be provided by users.
- *Don't expect users to use the product properly* - In fact, don't expect your users to not be jerks. The app suffered a lot initially as users were uploading blatantly fake data of legendary Pokemon showing up in the wild - Legendary Pokemon hadn't even been released yet during the app's lifespan!
- *Be proactive and think through edge cases* - Zooming out from the prior point, it's just good to do this in general no matter what kind of software you're building, whether it's an entire app or a small feature on some already existing product owned by a FAANG company. Understand how things can get weird and address those scenarios accordingly.

If you want to learn how to build your own side projects, check these out:
- [[Masterclass] How To Come Up With 100k+ Users App Ideas You Can Build For Free](https://www.jointaro.com/lesson/AI4zi759PSGn6RwIFT6f/masterclass-how-to-come-up-with-100k-users-app-ideas-you-can-build-for-free/)
- [[Masterclass] How To Build And Grow Tech Products To 500k+ Users For Free](https://www.jointaro.com/lesson/OEuX0KMhcnNSTJ50Voee/masterclass-how-to-build-and-grow-tech-products-to-500k-users-for-free/)

If you're interested in the code of the Android app, Alex took the time to save it here: [https://github.com/Gear61/GO-Database](https://github.com/Gear61/GO-Database).

This Is Why FAANG Engineers Make So Much Money - Tech Compensation Breakdown

Learn about the 4 components of compensation:

1. Base salary
2. Sign-on bonus
3. Performance bonus
4. Equity

The latter two are less understood, and they are key to understanding why compensation at tier 1 tech companies is so high.

And we also talk about how Mark Zuckerberg actually had a pretty big impact on increasing tech compensation as a whole!

[The Insider's Guide To Negotiating Your Tech Salary And Compensation](https://www.jointaro.com/course/the-insiders-guide-to-negotiating-your-tech-salary-and-compensation/)

Can A Company Demand High Performance AND Allow Learning?

Your Great Engineering Manager Will Eventually Leave You 🥺

How RSUs Can Both Greatly Reward And Punish You - Pinterest Example

Related resources:
- ["If my main goal is compensation, would it be wise to learn blockchain tech since it will potentially be the tech of the next couple decades?"](https://www.jointaro.com/question/tyS6MzzADqBzt10802Mh/if-my-main-goal-is-compensation-would-it-be-wise-to-learn-blockchain-tech-since-it-will-potentially-be-the-tech-of-the-next-couple-decades/)
- ["How do people in Big Tech deal with constantly fluctuating Stock Prices from their company?"](https://www.jointaro.com/question/JhEDkJl8AexlsL4IXBOH/how-do-people-in-big-tech-deal-with-constantly-fluctuating-stock-prices-from-their-company/)
- [[Taro Top 10] Pay Negotiation](https://www.jointaro.com/playlist/uyWSc5q79zFw2Ei7w59d/)

What To Do If Your Manager Keeps Canceling Your 1 on 1s

Your manager keeps canceling your 1 on 1s due to a perceived lack of discussion topics, even though you always have a lot to talk about. What do you do?

Your manager cancels your upcoming 1 on 1 meeting due to an unexpected, new fire that they have to deal with. However, you have a lot of important issues to talk about. What do you do?

20 Years Of Fighting Procrastination [Part 3] - Build A System

Most people rely on fluctuating willpower to be productive—but the most effective creators use systems. Here are the core points from the lesson:

- Systems make good behavior automatic by reducing cognitive load and accounting for natural fluctuations in willpower, energy, and focus
- Structure your day around your strengths—use mornings for disciplined deep work, afternoons for accountability-based tasks, and evenings for creative exploration
- Focus on generating artifacts like notes, calendar blocks, or test plans to capture progress, clarify your thinking, and preserve valuable context
- Habit stacking and predefined triggers make consistent output easier and help you avoid relying on short-term motivation or memory

Ship & Grow 500k+ User Side Projects [Part 21] - Go Deeper: Follow Through

Start a discussion in Taro: <https://www.jointaro.com/questions/create/>

Join Alex for Group Office Hours: <https://www.jointaro.com/p/alex-chiou/>

Attend Taro events: <https://www.jointaro.com/events/>

Related courses:

- [Build Side Projects With 500k+ Users: Coming Up With An Idea](https://www.jointaro.com/course/build-side-projects-with-500k-users-coming-up-with-an-idea/)
- [Level Up Your Code Quality As A Software Engineer](https://www.jointaro.com/course/level-up-your-code-quality-as-a-software-engineer/)

Master The DSA Interview [Part 28] - Don't Forget: Other Interview Types Exist

Data structures and algorithms are a core part of the software engineering interview loop, but it's important to remember that there are other critical interview types as well, including for FAANG. This lesson teaches you:

- How many engineers who completely fail their Big Tech interview actually did well on the data structures and algorithms portion, wasting all of their LeetCode grind
- How the amount of time you spend on data structures and algorithms preparation will vary based on the types of interviews you have
- How the amount of time you spend on data structures and algorithms preparation will vary based on your level
- General attributes to use to calculate the amount of time you need to allocate to data structures and algorithms

Please ask your recruiter what's going to be on your interviews. Don't be afraid to be a bit aggressive and don't be shy. Follow the advice here: <https://www.jointaro.com/course/ace-your-tech-interview-and-get-a-job-as-a-software-engineer/talk-to-your-recruiter/>

Master the behavioral interview with this course: [Master The Behavioral Interview As A Software Engineer](https://www.jointaro.com/course/master-the-behavioral-interview-as-a-software-engineer/)

Master the system design interview with this course: [The Top Ways People Fail System Design Interviews](https://www.jointaro.com/course/the-top-ways-people-fail-system-design-interviews/)

Master The DSA Interview [Part 27] - How FAANG DSA Rounds Work

A big part of being prepared for a data structures and algorithms interviews is having a clear general idea of what problems are going to be asked. This lesson teaches you:

- What LeetCode problem difficulties mean
- What kinds of data structures and algorithms questions are asked in FAANG phone screen (screening) interviews
- What kinds of data structures and algorithms questions are asked in FAANG onsite (final round) interviews
- The common trap you must avoid when preparing for FAANG data structures and algorithms interviews, depending on where you are within the interview process

Master The DSA Interview [Part 25] - Do Mocks

Many engineers actually know all of the data structures and algorithms concepts, but they aren't able to bring that out during the live interview when it actually matters. Luckily, there's a solution for that. This lesson teaches you:

- Why there's a fundamental dynamic shift between studying data structures and algorithms and actually solving the problems in a live interview
- The many concrete differences between data structures and algorithms in study mode vs. live interview mode
- General tips on how to both give and receive a good mock interview
- What a quality data structures and algorithms interview scorecard looks like so you can create good ones when you give a mock interview

Find mock interview partners here: <https://www.jointaro.com/networking/?selectedServices=Mock+Interviews>

Break Into Tech And Become A Software Engineer [Part 4] - Why Foundation Is Crucial

In this lesson, Brian emphasizes the importance of building a strong technical foundation in order to succeed long-term in the tech industry.

This lesson covers:

- The risks of becoming a "framework developer" without understanding core programming concepts, which can jeopardize career stability
- Brian’s personal experience of having to attend two bootcamps to fill in gaps in foundational knowledge, despite already being in the industry
- The importance of understanding the underlying technologies, not just frameworks, to boost both career growth and confidence

If you need extra help breaking into tech, join Brian's exclusive, cohort-based bootcamp (just 10 students per batch). Use this special link for $800 off: <https://www.parsity.io/taro>

Connect with Brian on LinkedIn: <https://www.linkedin.com/in/brianjenney/>

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.