Build Deep Relationships Quickly In Tech [Part 6] - You're Going To Get Burned

Networking isn't all sunshine and roses - You're going to go through a lot of pain as well. This lesson teaches you:

- Why many relationships fall apart
- Why you shouldn't let a failed relationship turn you off networking forever
- A tactical, mathematical framework to minimize risk and maximize upside when it comes to networking
- How to identify if a relationship isn't going anywhere and should be cut off

Break Into Tech And Become A Software Engineer [Part 24] - Wrapping Up

In this final lesson, Brian provides key insights and encouragement as you wrap up your journey into software development.

This lesson covers:

- The importance of recognizing that everyone's timeline for getting hired is unique, and consistent effort on your technical skills will prepare you for success
- Building a supportive community or "tribe" through building in public, which will help you grow and find accountability
- Staying committed to learning and growing even after getting hired, as career development is a long-term game, and keeping your skills sharp will open doors for better opportunities

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/>

Become An Open Source Master [Part 24] - Anticipate Common Pushback

- We might get pushback on our pull requests if we don't address all edge cases or introduce performance regressions.
- Follow the project's coding conventions and make sure our code is clean and well-tested.
- Be gracious and adaptable when contributing to someone else's project.

Taro discussions about testing: 

- [What are your thoughts about Test Driven Development?](https://www.jointaro.com/question/SYwVplJYcyO8Sr7PLT2j/what-are-your-thoughts-about-test-driven-development-do-you-think-it-adds-value-in-your-career/)
- [Automated vs manual UI testing?](https://www.jointaro.com/question/frpv5BLQ63ZqvmDcTIkY/automated-vs-manual-ui-testing/)

Connect with James:

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

DSA Crash Course [Part 84] - Counting Change Walkthrough

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

Code along and test your work in the following editor workspace: <https://structy.net/problems/counting-change?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/**](https://www.linkedin.com/in/alvin-zablan-b73a92117/)

Part 5 [RBP] Create Custom Hooks

This lesson explains how to improve the organization and reusability of React components by extracting complex logic, particularly related to data fetching, into custom hooks.

- **Creating Custom Hooks:** Learn the process of creating a custom hook to encapsulate state management and side effects, such as those involved in fetching data and handling loading and error states.
- **Organizing and Reusing Logic:** Understand the benefits of separating concerns by moving complex logic into custom hooks, leading to cleaner and more maintainable components.
- **Improving Code Readability:** Discover how custom hooks can make your code more declarative and easier to understand by abstracting away implementation details and providing a clear interface for interacting with data.

Links:

- Florian’s free web development playlist on YouTube: <https://www.youtube.com/playlist?list=PLrnPJCHvNZuDG6BWjUFVxeWyYlve_SVJO>
- Code link: <https://github.com/codinginflow/react-best-practices/tree/custom-hook/src>

Become An Open Source Master [Part 19] - What Opinions Do The Authors Have?

Be aware of the human element in open-source projects. We should understand and follow the project's coding style, including linting and formatting preferences. If the project lacks a style guide or linting rules, we can offer to help create them, but we should always do so with the approval of the original maintainers.

Connect with James:

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

Become An Open Source Master [Part 18] - What Are The Most Important Modules?

We need to identify the important modules in an open source project. We should understand the configuration items, hot functions, and utility classes. Additionally, we should figure out how the data flows through the project, including its structure, storage, and APIs.

Connect with James:

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

Taro at YC's Demo Day (Summer 2022)

Demo Day is an event where Y Combinator-funded companies present to a room full of specially selected investors and press. This is our presentation about Taro. 

Since the presentations are only 1 minute long, the goal is not to cover everything (that'd be impossible), but instead to say enough such that investors want to learn more.

We launched Taro Premium earlier in the summer, so a lot of our pitch focused on the traction we found in a short time.

Thank you all for being on this rocket ship with us. If you want to support what we do even more, [consider joining Taro Premium](https://app.jointaro.com/membership). Right now, we're pretty early so, so we can be very hands-on with each new member!

If you're thinking of doing your own startup someday, here's some resources to help with that:
- ["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/) - In this video, Rahul's cofounder Alex walks through his decision-making process behind starting Taro
- ["Career advancement or building a startup? Which one is harder?" ](https://www.jointaro.com/question/EquWmWjZhqiiujyltreJ/career-advancement-or-building-a-startup-which-one-is-harder/)

[Become A Go-To Person 15/18] - Other Ways To Build Expertise

A course by [Jordan Cutler](https://www.linkedin.com/in/jordancutler1/), Senior Software Engineer at Pinterest and Author of the [High Growth Engineer Newsletter](https://read.highgrowthengineer.com/)

What Do Managers Do?

Part Two of the *Essence of Management* course invites us to deeply reflect on the core question: **What do managers actually do?**

- We are encouraged to pause and **write a one-line summary** of the manager’s role—not our personal job, but the purpose of the managerial function itself.
- This section emphasizes **active engagement**, urging us to think, reflect, and put ideas into our own words rather than passively consuming content.
- The reflection exercise sets the foundation for the next module, where we’ll compare our answers to a more structured definition of management.

If you want to learn more from Gilad, he shares free leadership advice daily on [LinkedIn](https://www.linkedin.com/in/giladnaor/?utm_source=taro&utm_medium=course&utm_campaign=cta) and weekly on the[ δeltas newsletter](https://posts.managementdeltas.com/?utm_source=taro&utm_medium=course&utm_campaign=cta)

Explain Like I’m 5: Demystifying Meta’s GenAI Infrastructure

Session led by: [Malik (Mike) Alnakhaleh](https://www.linkedin.com/in/malik-mike-a-32b63818b/)

**Event description**

Dive into the fascinating world of Meta's next-generation artificial intelligence with an event crafted for simplicity and clarity!\
\
Whether you're a software developer, a tech professional, or a bit AI-curious, join us for an illuminating session where complex concepts are made accessible. No PhD required!

### **What You Will Learn:**

- The Backbone of Meta’s GenAI: Unpack the core components and architecture powering Meta's cutting-edge AI, from robust data center hardware to innovative computing networks.
- Scaling AI for Tomorrow: Explore how Meta scales its AI infrastructure to support complex models and vast datasets, ensuring efficiency and sustainability.
- Innovations in AI Deployment: Discover the cutting-edge tools and practices Meta employs to deploy AI applications, from development to production.

### **Who Should Attend:**

- Software developers and engineers seeking to understand the infrastructural demands of AI.
- Professionals interested in AI, machine learning, and data center engineering.
- Anyone curious about how large-scale AI systems are built and used.

Ready to peel back the layers of Meta’s AI infrastructure with the curiosity of a five-year-old?\
\
Secure your spot today and step into the world of tomorrow's AI, exploring the future, one simple explanation at a time.

[Timeless Career Advice] What to Learn

What Exactly Is Big Tech?

While many people associate "Big Tech" with the largest household names in the industry, the definition can, and should, be broader. This lesson provides a useful lens for identifying companies that operate like Big Tech, even if they’re not part of the traditional FAANG group.

- **Traditional Big Tech**: Commonly refers to the largest companies by market cap - *Microsoft, Google, Amazon, Apple, and Meta*. Sometimes Netflix is included (as in “FAANG”), but it's structurally different, e.g. Netflix historically had no engineering levels and treated everyone as senior engineers.
- **Critique of the FAANG Acronym**: Netflix is singled out as not entirely representative of "Big Tech" norms, being smaller in scale and structurally more unique than the others.
- **Broader Definition**: Companies with *$50B+ market cap* and *2,500+ engineers*, along with similar performance expectations, leveling systems, and engineering culture as the Big Five, should also be considered Big Tech. This includes companies like *Uber, Airbnb, and Stripe*.
- **Why This Matters**: Focusing only on the top 5–6 companies can be limiting. Many other companies now offer equivalent opportunities in terms of compensation, growth potential, and engineering culture, especially as they reach scale.

This broader perspective is helpful when evaluating job options and team culture - not all Big Tech companies are the usual suspects.

Part 4 [RBP] Clean Up Your Fetch Requests

This lesson focuses on preventing race conditions that can occur when making multiple fetch calls in React components, leading to inconsistent UI behavior and a poor user experience.

- **Identifying Race Conditions:** Understand how race conditions happen when asynchronous fetch requests resolve in an unexpected order, particularly with slow or unreliable network connections.
- **Strategies for Avoiding Race Conditions:** Learn how to use tools like SWR or React Query to manage fetch requests and automatically handle race conditions, or implement manual cleanup logic with an "ignore" flag to discard outdated responses.
- **Improving Code Structure:** Discover how to keep your fetch-related code organized and maintainable, especially when dealing with loading and error states, setting the stage for cleaner solutions covered in the next lesson.

Links:

- Florian’s free web development playlist on YouTube: <https://www.youtube.com/playlist?list=PLrnPJCHvNZuDG6BWjUFVxeWyYlve_SVJO>
- Code link: <https://github.com/codinginflow/react-best-practices/blob/fetch-cleanup/src/app/page.tsx>

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.

You stayed calm. They still didn’t trust you.

You said nothing was wrong.\
But they felt something was off.

Here we explore what happens when teams can’t read you—and start reading into you.\
Not because you did anything wrong.\
But because silence always fills itself.

**Want to go deeper?**

- Explore more tools and courses at [**Taha’s Method**](https://www.tahasmethod.com/) — from interview prep to leadership development.

- Follow me on [**LinkedIn**](https://www.linkedin.com/in/tahahussain/) and subscribe to my weekly newsletter, [**The Conscious Leader**](https://tahahussain.substack.com/), for more lessons like these.

- Get 30% off [**Top Tech Leader**](https://bit.ly/tarotopleader) with code **ILOVETARO** (exclusive for Taro members).

Clear Communication For SWEs [Part 8] - The STAR Method 🌟

In this video, I explain the STAR method, breaking down its components - Situation, Task, Action, and Result. I highlight the benefits of using this structured approach in job interviews, performance reviews, and presentations.

Connect with me on LinkedIn: <https://www.linkedin.com/in/ryan-wiens/>

21 Ways to Make Yourself a Better Engineer (From a Senior Engineer at Pinterest)

Join Taro and [**Jordan Cutler**](https://www.linkedin.com/in/jordancutler1/), a Senior Engineer at Pinterest and [**High Growth Engineer**](https://read.highgrowthengineer.com/) author to learn 21 rapid-fire ways to become a better engineer. You'll learn the top underused tips and skills to grow in your career.

We'll cover:

- Career growth
- Influence
- Communication
- Managing up
- Leading projects
- Technical skills
- Productivity

Be ready for practical and actionable advice. No BS included.

Helpful links: 

- [Slides](https://drive.google.com/file/d/1PEgnDJEa4wRw3bjxe22obyfP2qSm9lBB/view?usp=sharing)
- [Jordan on LinkedIn](https://www.linkedin.com/in/jordancutler1/)
- Jordan's newsletter with 68K+ subscribers: [High Growth Engineer](https://read.highgrowthengineer.com/)
- Jordan's course on Taro: [Become The Go-To Expert As A Software Engineer](https://www.jointaro.com/course/become-the-go-to-expert-as-a-software-engineer/)

How To Be An Effective Tech Lead [Part 16] - Be Visible

While you need to lead with selflessness and put the team first as a tech lead, this doesn't mean that you can't be selfish at all. As a tech lead, it's critical for you to get proper credit as well. This lesson teaches you:

- The main tool you have to boost your visibility and prove your depth of contributions
- How to be visible in general

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.