Figuring Out What Matters In A Codebase

In a large codebase, the code will follow the Pareto Principle (the 80/20 rule): 20% of the components account for 80% of the impact. So your goal as the engineer is to spend most of your time on the 20% of code that matters to the business and matters to your coworkers.

How do you figure out where that 20% comes from?

- Talk to people
- Use blames to find hotspots
- Look for patterns in code reviews
- Look at past alerts and what triggered them

DSA Crash Course [Part 20] - Sum Numbers Recursive Approach

In this lesson, Alvin explores the strategy to solving the following interview problem:

> Write a function *sum_numbers_recursive* that takes in an array of numbers and returns the sum of all the numbers in the array. All elements will be integers. Solve this recursively.

```
sum_numbers_recursive([5, 2, 9, 10]); # -> 26
```

```
sum_numbers_recursive([1, -1, 1, -1, 1, -1, 1]); # -> 1
```

```
sum_numbers_recursive([]); # -> 0
```

```
sum_numbers_recursive([1000, 0, 0, 0, 0, 0, 1]); # -> 1001
```

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: <https://www.linkedin.com/in/alvin-zablan-b73a92117/>

Ace Your Tech Interview As A Software Engineer [Part 10] - Order Matters

We all want to speed run our way into FAANG. The bad news is that this is almost never pans out for software engineers, and aggressively pursuing this strategy can easily lead to your downfall. This lesson teaches you:

- The true way to actually get better at interviewing and why it can't be avoided (no matter how painful it is)
- How to properly structure your job search when Big Tech is one of your goals
- The general approach you should take when it comes to applying to jobs and sequencing your interviews

Write A Stellar Resume As A Software Engineer [Part 22] - Go Deeper: Follow Through

Download Alex's resume here: [Alexander Chiou Resume.docx](https://docs.google.com/document/d/1NnAx2jYkRTMCQwbdDPPqSj1Fwxkahda-/edit?usp=sharing&ouid=109380646850979301783&rtpof=true&sd=true)

If you have any questions about the content of this course or about your career overall, start a discussion in the Taro forum here: <https://www.jointaro.com/questions/create/>

Come to Taro events and join a resume review meetup: <https://www.jointaro.com/events/>

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

**UPDATE:** We have shut down Taro Networking as a feature. Sorry for the inconvenience 🙏

[Case Study] Effective Communication: Leading A Multi-Org Re-architecture At Meta

Here are [the presentation slides](https://docs.google.com/presentation/d/184dP9pi41lO5TlME4cn4fRblCPtKFdet7d5WmrpnbGc/edit?usp=sharing) and the [polished chat log](https://firebasestorage.googleapis.com/v0/b/tech-career-growth.appspot.com/o/tps_chats%2Ftaro_premium_session_4_chat_notes.txt?alt=media&token=ca1a199d-fe36-42bc-8d2e-fc91371e691f) from the session.

As an IC, you don't have authority over engineers in the way a manager might. So your impact is defined by your ability to have **influence without authority**. Influence comes from consensus + collaboration, which comes down to communication. Said another way: Communication is the foundation for trust. 

Rahul talked about 3 parts to effective communication in this presentation: 
- **Start with the audience**
  - Understand how much context your audience has, and connect the dots for them.
  - Your communication should be as short as possible.
  - Bad news should never be a surprise.
- **Choose the right medium**
  - Do some reflection on what your objective is: build relationships or efficiently communicating some info? Be clear the difference between verbal and written communication.
  - Evaluate the current processes for communication in your org: standups, team meetings, email updates, cross-org communication. 
- **Be consistent**
  - You should have a regular drumbeat of posts for your projects. If you feel like nothing happened, you should explain why nothing happened.
  - For long-running processes like brainstorms or architecture reviews, you should consistently message the timeline and milestones.

Related resources:
- ["How can I come up with big initiatives, especially those at a Staff level?"](https://link.jointaro.com/sm57uikgXJ3RRpTv8)
- [Writing is thinking](https://medium.learningbyshipping.com/writing-is-thinking-an-annotated-twitter-thread-2a75fe07fade) - by Steven Sinofsky (Former President @ Microsoft)
- [Be plainspoken](https://boz.com/articles/be-plainspoken) - by Andrew Bosworth (VP of Eng @ Meta)

Truly Mastering A Data Structures And Algorithms Problem  - 2 Sum Example

Why is the following not a good way to remember the solution to 2 Sum?
        
def twoSum(self, nums, target):
    required = {}
    for i in range(len(nums)):
        if target - nums[i] in required:
            return [required[target - nums[i]],i]
        else:
            required[nums[i]] = i

Why is [Look for the difference and use a HashSet] a great way to remember the solution to 2 Sum?

What more general higher-level learning principle is also exercised alongside the proper mastery of data structures and algorithms problems?

Data structures and algorithms are a core part of FAANG software engineer interviews, and they're seemingly the bane of every software engineer's existence. However, so many software engineers don't learn these concepts properly.

Here are the core points from the video:
- In this example, we cover 2 sum, a classic data structures and algorithms problem that many companies use on phone screens. Here's how to learn it properly:
  - **Bad:** Memorizing all the code behind the optimal implementation.
  - **Good:** "Look for the difference and use a HashSet."
- All DSA problems will have this core insight that "unravels" the entire thing. Once you find and truly understand this insight, the implementation should flow naturally.
- This is also a sign of higher learning via "thinking in terms of abstractions". Your brain is a lot more powerful if it is able to take something more singular and high-level and convert it into the nitty gritty. Memorizing everything at the lowest level simply isn't scalable.

Related resources:
- [[Masterclass] How To Ace Your Big Tech Interview - Data Structures & Algorithms](https://www.jointaro.com/lesson/V4sTACzfOh22nMVcUV3w/how-to-ace-your-big-tech-interview-data-structures-and-algorithms-7172021/) - This is the full video this clip is taken from
- [[Masterclass] How To Ace Your Big Tech Interview - System Design](https://www.jointaro.com/lesson/J3I9fTW9ulr6T9KjxpqY/how-to-ace-your-big-tech-interview-system-design-1162021/)
- [How Alex Got Into Meta With 0 Prior Leetcode Experience](https://www.jointaro.com/lesson/ZYiTbN21FsqFxFdpwt5a/how-alex-got-into-meta-with-0-prior-leetcode-experience/)

Grow From Junior To Mid-Level Engineer [Part 4] - Structuring Your Growth

Even though junior engineer to mid-level engineer is the 1st and easiest promotion, it's still a meaningful evolution with many parts. This lesson teaches you:

- The 3 core areas of improvement to grow from junior -&gt; mid-level
- The most important area to improve to make the junior -&gt; mid-level promotion
- How you should process the advice from this course

Become An Open Source Master [Part 4] - Open Source Terminology: Projects, Repos, Issues, PRs

We'll focus on GitHub, a popular platform for open-source software, to understand key terms and concepts.

- Projects and repositories (repos) are the core units of open-source projects on GitHub.
- You can view source code, metadata, and community activity within a repository.
- Issues are used to report bugs or request features, while pull requests propose code contributions.
- Pull requests are reviewed and discussed by the community before being accepted into the project.

Connect with James: 

- GitHub: <https://github.com/jamesgpearce>
- Twitter (X): <https://twitter.com/jamespearce>

Ace Your Tech Interview As A Software Engineer [Part 24] - System Design

System design is another common interview type, particularly among Big Tech companies. Unlike the notorious data structures and algorithms, system design is something you actually do on the job. This lesson teaches you:

- When to expect system design rounds during the interview loop
- What kinds of engineers get system design questions
- What you should be doing when getting a system design question
- What a proper system design diagram looks like

To master the system design interview, check out these resources:

- [\[Masterclass\] How To Ace Your Big Tech Interview - System Design](https://www.jointaro.com/lesson/J3I9fTW9ulr6T9KjxpqY/masterclass-how-to-ace-your-big-tech-interview-system-design/)
- [\[Course\] Frontend System Design Masterclass - Building Playlists](https://www.jointaro.com/course/frontend-system-design-masterclass-building-playlists/)
- [\[Taro Top 10\] System Design](https://www.jointaro.com/playlist/MFc9JT0tZSmOwbuKC2C7/)

Become An Engineer Influencer [Part 1] - What Is An Engineer Influencer?

An engineer influencer is an engineer who builds an audience on social media and uses that to kickstart their future startup or business.

Examples include:

- [Rahul Pandey](https://www.youtube.com/c/RahulPandeyrkp) - ex-Meta engineer, who leveraged his 60k followers on YouTube to launch Taro, a career-mentoring app that got into YCombinator

- [Gergely Orosz](https://twitter.com/GergelyOrosz) - ex-Uber engineering manager, who used his Twitter following to grow his paid newsletter "The Pragmatic Engineer" to 140k readers in 18 months

- [Daniel Vassallo](https://twitter.com/dvassallo) - ex-Amazon engineer, who grew his following to 130k followers on Twitter and now teaches a highly successful cohort based class called "Portfolio of Small Bets"

Each of these engineer influencers focused on building their social media following first.

This helped them build credibility, expand their network, and guarantee them a distribution channel for their future product.

Connect with Michael:

- LinkedIn: <https://www.linkedin.com/in/michael-lin-tech/>
- Twitter: [https://x.com/\_michaellin](https://x.com/%5C_michaellin)
- Newsletter: <https://www.michaellinwrites.com/>

DSA Crash Course [Part 36] - Want To Learn More DSA With Alvin?

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: <https://www.linkedin.com/in/alvin-zablan-b73a92117/>

System Design Series: Taro Playlists [Part 7] - How Can Things REALLY Break?

The tactics are covered in the system design doc, so this summary will focus on the "meta" context behind this part and additional commentary:

- You should *always* think about "How can we cause a SEV?" when you're planning out system design for any substantial project or task.
  - **Context:** SEV = Severity, which is the term Meta, Robinhood, and many other companies use to describe a really bad product event.
  - This is one of the purest and most critical manifestations of proactive thinking, which is one of the trademark attributes of a competent senior+ engineer and tech lead. SEVs are events that seriously set back your organization or even your entire company if they're something you have to react to as opposed to catching them early.
- This "anti-SEV" thinking is *especially* relevant for Big Tech where the stakes are much holder due to regulatory constraints, increased media presence, and a massive scale of users.
  - It's also far harder to do this well at Big Tech due to a greater range of ways things can break.
  - However, if you can do this well, you will add a tremendous amount of value to your team. This is why pretty much all senior and staff engineers at FAANG and FAANG-equivalent companies have really developed this skill.
- Here are the ways a SEV can happen from the video (these are all vectors Alex dealt with at Meta as well):
  - **Users not playing nice** - You should never assume that users will put in proper inputs or even not want to harm other users. Most major tech products have some sort of multiplayer component, so it's important to be vigilant here.
  - **Bad auth context** - This means that users are able to carry out actions on behalf of other users. This can happen either intentionally (i.e. the acting user is malicious) or accidentally (e.g. the user has multiple accounts on your service and switching between them cleanly is broken).
  - **Incorrect backporting** - "Backporting" is the process of making things work on older builds of your software. This is *very* relevant for mobile engineers as there will always be a good amount of users on older builds, especially if your product is used by people in regions with lower internet.

You can [find the full system design doc here](https://docs.google.com/document/d/15WaM8Ojan82g0m2mtz6kC2Hiyj0Q6VbjfqRmVNDI3qw/edit?usp=sharing) - Feel free to use it as a template for when you're going through the system design process at your job!

System Design Series: Taro Playlists [Part 5] - Data Model

You can [find the full system design doc here](https://docs.google.com/document/d/15WaM8Ojan82g0m2mtz6kC2Hiyj0Q6VbjfqRmVNDI3qw/edit?usp=sharing) - Feel free to use it as a template for when you're designing systems at your job!

The concrete details are covered in the doc linked above, so this summary will focus on the "meta" context behind this part and additional commentary:

- Always define the data model if applicable. It is the "core operating unit" of your system - Everything revolves around it. That's pretty much what CRUD is: You have some data model and the entire ecosystem revolves around manipulating it properly.
- Define the table/collection(s):
  - What is its name?
  - What does it represent? If you can include a visual aide on how it's actually rendered for the user, that makes things a lot clearer.
- Define the fields on your model:
  - What is its name/key?
  - What is its type?
  - Is it required?
  - What does it represent? This should include information on what kind of key it is (e.g. primary key) if applicable.
- Illustrate the model to make it really clear. JSON is really good at doing this as it's very readable. There are many free incredible JSON formatters online (Alex used them all the time to make project specs).

Write A Stellar Resume As A Software Engineer [Part 21] - The REAL Secret For A Top Tier Resume

Unfortunately, it's possible to optimize your resume to the teeth and still not get results. This will be incredibly common for more junior engineers. This lesson teaches you:

- A simple 2-step process to understand how to make an incredible resume
- What to do if you have perfected your resume and you still aren't getting enough interview calls
- Why you are far more powerful than you realize the second you learn how to code and deploy software to production
- How to build impressive side projects that are meaningful on a resume and get you interviews
- How to make impressive open-source contributions that are meaningful on a resume and get you interviews

To dive deeper into building impressive side projects: [\[Taro Top 10\] Building Impressive Side Projects](https://www.jointaro.com/playlist/vKUWMgmmaEvzcYUXZs4B/)

To dive deeper into making impressive open-source contributions: [\[Course\] Become An Open Source Master](https://www.jointaro.com/course/become-an-open-source-master/)

Get Maximum Value Per Answer

You should "Learn how to fish" instead of "receiving fish" — your goal in onboarding is to become a self-sufficient, productive engineer as quickly as possible. 

The way you do that is to ask follow-up questions when you get help and understand how you would have arrived at the solution on your own.

Bias toward asking for help earlier when you're new to a company, since you don't know what you don't know. It's better to be more annoying for the first month on the job rather than somewhat annoying for 6 months.

Level Up Your Code Quality As A Software Engineer [Part 26] - Side Projects & Open-Source

You don't need to work at some fancy FAANG company to learn how to write truly good, high-quality code. Code quality is something that can be improved upon outside of your job and even if you don't have a job! This lesson will teach you:

- The power of **side projects** and **open-source contributions** when it comes to leveling up your technical skills
- How to build side projects that get a ton of users so you can maximize your learning (and your resume strength 💪)
- How to make meaningful open-source contributions that can even get the attention of Big Tech companies

To dig deeper into this topic, go through this thread: ["How to Learn/Practice Clean Code, particularly by oneself?"](https://www.jointaro.com/question/6DcTkiS9UJhDkQz1HIAL/how-to-learnpractice-clean-code-particularly-by-oneself/)

Maximize Your Productivity As A Software Engineer [Part 7] - Get Good Sleep

Sleep is one of the first things to go when software engineers are faced with daunting workloads. Unfortunately, this is a tradeoff with disastrous consequences which doesn't even solve the problem. This lesson teaches you:

- Why most software engineers get sleep completely wrong in every possible way
- The correct perspective to have with sleep
- The many benefits of getting 8+ hours of consistent sleep every day
- How sacrificing sleep actually makes you less productive, not more

Write A Stellar Resume As A Software Engineer [Part 14] - Show, Don't Tell

In order to write a great resume, you need to frame your experience as best as possible, getting maximum juice from the fruit. This lesson teaches you:

- The bar you need to clear in order to show that you have meaningful mastery of a technical area
- How to get metrics to describe the impact of your actions
- What showing looks like vs. telling, broken down through an in-depth example
- The difference between strong verbs and weak verbs
- How the recruiter and hiring manager perception of you drastically shifts depending on whether you used a strong verb or a weak verb

Ace Your Tech Interview As A Software Engineer [Part 8] - Interviewing While Employed

Finding a job as a software engineer is, in and of itself, practically a full-time job. But should you quit to actually treat it like an entire job? This video teaches you:

- Why currently being employed is usually the best time to find a new job
- The counterintuitive way that having a job boosts your interview performance when searching for another job
- How to find the time to do interview preparation when you're juggling a current job, including emergency levers
- The framework you should apply to determine if you should quit your current job for the job search grind

DSA Crash Course [Part 15] - Pair Product Walkthrough

In this lesson, Alvin walks through the python implementation for the *pair_product* problem.

Code along and test your work in the following editor workspace: <https://structy.net/problems/pair-product?language=py>

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: <https://www.linkedin.com/in/alvin-zablan-b73a92117/>

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.