DSA Crash Course [Part 6] - Big-O Basics Lecture

In this lecture, Alvin goes over the basics of Big-O notation and how to use it to describe the complexity of algorithms.

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/>

Maximize Your Productivity As A Software Engineer [Part 2] - The Productivity Giant You Are Missing

When it comes to productivity, most software engineers have the completely incorrect strategy of simply working harder. This isn't sustainable and misses the forest for the trees. This lesson teaches you:

- The true highest leverage thing you can do when it comes to your productivity, explained with an example from Meta and Google
- Why working on the right things is much better than just working on your current things faster

Here's the promotion course: [\[Course\] Nail Your Promotion As A Software Engineer](https://www.jointaro.com/course/nail-your-promotion-as-a-software-engineer/)

[Case Study] Revamping Oncall For 20 Instagram Engineers - Senior to Staff Project

Oncall is a critical process for any good engineering team, especially larger ones. However, a lot of software engineers aren't truly exposed to oncall until several years into their career. This detailed case study covers what a healthy oncall looks like and how ex-Instagram tech lead Alex led his organization towards that.

This session covered a *lot* of ground, so we'll focus more on the learnings instead of the historical story:
- **Good oncall ingredients**
  - Very strong sense of ownership expected from the current oncall - The buck should stop with them
  - A detailed runbook and thorough documentation in general around SLAs, SEV criteria, and ownership
  - 7 to 12 engineers on the rotation so you're only oncall <15% of the time
  - A retrospective process that brings together the team to share knowledge and figure out how to improve their systems as a whole
- **Pain = Opportunity** - Never say *"That's just the way it is"*: Every problem is solvable. If you want to level up fast, strive to alleviate pain at scale for your team instead of running away from it. Here's a great discussion covering this concept in more detail: ["Ways to add value when asked “What do you think would be biggest challenges for next quarter?"](https://www.jointaro.com/question/zYbkS5Bn00H9RGKiiL4F/ways-to-add-value-when-asked-what-do-you-think-would-be-biggest-challenges-for-next-quarter/)
- **It's All About Relationships** - This is especially important at senior and staff engineering levels. In order to change process and push big projects, you need to get many people to agree with you. Understand that these relationships take time to grow and you need to start as early as possible. Check out this masterclass to deep-dive into this: [[Masterclass] How To Build Deep Relationships Quickly In Tech](https://www.jointaro.com/lesson/tyaPFMXPoz2pmzB7OVzt/masterclass-how-to-build-deep-relationships-quickly-in-tech/)
- **Understand Everyone's Incentives** - They will be very different for people who aren't on your team or aren't engineers. As a tech lead, you are expected to work across XFN boundaries regularly, and succeeding at this requires understanding what drives everyone and finding mutual interests.
- **Lead By Example** - Put yourself on the line and practice what you preach. A disconnect between what you're recommending and your own actions is one of the easiest ways to sabotage your own influence.
- **Stand On The Shoulders Of Giants** - At Big Tech companies in particular, there will always be hundreds of other engineers in the company who have already solved the problem you are currently working on. There is no need to reinvent the wheel - Seek out those people and learn from them.

Related resources:
- ["How to form a healthy on-call rotation?"](https://www.jointaro.com/question/8OuTidxuVaeuQCV28IhD/how-to-form-a-healthy-on-call-rotation/)
- ["How can I improve the unstructured, chaotic oncall rotation I'm on?"](https://www.jointaro.com/question/ScxFpybXXC90qmnLEU7A/how-can-i-improve-the-unstructured-chaotic-oncall-rotation-im-on/)
- ["How can I maintain work-life balance with a hectic oncall?"](https://www.jointaro.com/question/WLqDVZQa8rAEmFEl15oA/how-can-i-maintain-work-life-balance-with-a-hectic-oncall/)
- [Presentation slides](https://docs.google.com/presentation/d/19PpKY5VoRAP8OMhu2shwhLthKiodw5cUruk6Lycelho/edit?usp=sharing)

Every Senior+ Engineer Must Decide: IC vs Management Track

There is one good motivation to become an engineering people manager: to help people. If that's not the priority, you should not become an EM (and you should avoid working with those types of managers).

Daniel toggled between individual contributor (IC) and manager several times in his career. His most fruitful experience was as a very senior IC engineer at Meta -- he had the influence + context of a manager, but none of the headache associated with the job. 

Connect with Daniel on [LinkedIn](https://www.linkedin.com/in/danieltomko/)

Related content: 
- [Questions You Can Ask To Evaluate An Engineering Manager](https://www.jointaro.com/lesson/VOQc7vIzQ4STtw7UrB29/questions-you-can-ask-to-evaluate-an-engineering-manager/)
- [How Do Effective Engineering Leaders Help Their Teams Achieve More?](https://www.jointaro.com/lesson/xGJDCG7VL4hcZaq5XL92/how-do-effective-engineering-leaders-help-their-teams-achieve-more/)

[Case Study] Hypercharging Your Growth At Early Startups (w/ Staff Engineer Seed Zeng)

[Click here for the presentation slides](https://docs.google.com/presentation/d/1ZocNUZJL-feWAKoucVLUcaVxix2Xa1udEL4KpgQRBTo/edit?usp=sharing).

There are a *ton* of great points covered in this session, so we'll only share our Top 5:
- **Startups have massive scope** - In an early-stage startup, there is always an infinite supply of hard, technically deep problems. This allows you to have a lot of freedom choosing an opportunity that works well for you and build up a wide breadth of important skills. This is almost always *not* the case in Big Tech - [Check out this expert career advice on the difference between Big Tech and startups when it comes to learning](https://link.jointaro.com/n57gbTWERveGTQuM9).
- **Don't say "I'm not qualified to work on this"** - The best software engineers are able to adapt to any situation their team faces and add value regardless of what framework or tech stack is needed. In order to do that, you must first flip this fearful mentality. [Here's our masterclass on how to learn quickly in tech](https://link.jointaro.com/S2h95sJvRU8Utjj6A).
- **Don't be afraid to make mistakes** - Recovering from a mistake is one of the most powerful ways to learn, and startups will generally have more tolerance for mistakes as stakes are lower compared to a more mature, massive public company where product issues can make the news. [Here's our advice on how to maximize your growth from mistakes](https://link.jointaro.com/THof1u97Z5t1ovCr9).
- **80% of the journey is just showing up** - Seek out important, complex situations and run towards them instead of away from them, especially with production issues. If you're earlier-in-career, you can learn a lot simply by being a participant in fixing these fires; from there, you can make yourself a core driver more and more. [Here's our advice on how you can be more independent debugging tricky technical problems](https://link.jointaro.com/xE8oMpCaDYjuMhCg7).
- **It's all about the people** - Your career growth is largely a product of the people you surround yourself with, and this is especially true in a startup where the team is small, bonds are deep, and everybody knows each other. [Here's our advice on how to network effectively within a company](https://link.jointaro.com/Hr1nr53D7sfQAEv3A).

To see (and hear) more from Seed:
- [Connect with him on LinkedIn](https://www.linkedin.com/in/seedzeng/)
- [Check out his podcast "Superposition"](https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkLnBvZGJlYW4uY29tL3N1cGVycG9zaXRpb25zaG93L2ZlZWQueG1s?sa=X&ved=0CAMQ4aUDahcKEwjot6up4Zf7AhUAAAAAHQAAAAAQAQ&hl=en)

Related resources:
- [Session #6 - Maximizing SWE Growth: Ownership and Specialization At Startups](https://link.jointaro.com/2ZevbN54MPZPTocH8)
- ["What's the difference between Big Tech and startups in terms of learning and growth?"](https://link.jointaro.com/n57gbTWERveGTQuM9)

Why You Should Always Negotiate Your Offers

- Negotiation is particularly life-changing, especially if you're early-in-career. It's also really high ROI as the cost is effectively just a couple emails and some potential awkwardness.
- Negotiation doesn't hurt anyone within or outside the company - It's effectively a part of life when it comes to the hiring game.
- What you negotiate for isn't connected to your costs: It's about getting what's fair given the market rate and your current leverage situation (i.e. do you have other offers).
  - Even if an offer is good given your personal situation, you should try negotiating, especially if it's below fair market rate for that level/company/geography and you have competing offers.
  - You can always do something with extra money!

If you need premier negotiation support, check out our 3+ hour negotiation course: [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/)

Top System Design Interview Mistakes [Part 16] - Outro

Congratulations on making it to the end of the course! If you have any thoughts, we would love to hear them over at [Formation.dev](https://formation.dev/partners/taro):

- Connect with me (Sophie) on LinkedIn: <https://www.linkedin.com/in/sophienovati/>
- Follow [Formation.dev](https://formation.dev/partners/taro) on LinkedIn: <https://www.linkedin.com/company/formation-dev/>

As a reminder, if you need extra help with your system design interview, Formation can provide you hands-on, personalized support. Join us here: <https://formation.dev/partners/taro>

Now that you've mastered the system design interview, check out our behavioral interview course next: [\[Course\] Master The Behavioral Interview As A Software Engineer](https://www.jointaro.com/course/master-the-behavioral-interview-as-a-software-engineer/)

Master The Behavioral Interview [Part 1] - How This Course Works

Let's not mince words: Most software engineers are pretty terrible at behavioral interviews. Unlike interview types like data structures & algorithms (DSA) and system design, behavioral interviews are purely open-ended. Here are the core parts of the lesson:

- 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 ultra-sharpening his behavioral interview skills played a huge part in his career success. His reward? Growing from $85k TC to $750k in just 7 years!
- How software engineers throw their careers by from over-indexing on LeetCode grinding instead of developing more balanced interview expertise, particularly with behavioral interviews
- We walk you through the course objectives. By the end of the course, you will have the right mentality to answer *any* behavioral question well, understand what a good behavioral answer looks like (vs. a bad one), use the right tactics to prepare, possess the skills to vet the company, and know what behavioral performances look like across different levels

To learn more about Alex's interview success journey and overall job searching tactics, check out his master job searching course: [\[Course\] Ace Your Tech Interview And Get A Job As A Software Engineer](https://www.jointaro.com/course/ace-your-tech-interview-and-get-a-job-as-a-software-engineer/)

The Rare Insight Top Tech Companies Have About Engineering Managers

Most engineering managers [EMs] are bad and aren't much more than glorified, overpaid whip-crackers. Here's what the world's best tech companies realize about engineering management that other companies don't.

Here are the core points:
- **Good EMs think long-term** - It's really easy to burn out the team for short-term gains, just working them harder and harder so everything ships quickly. However, this isn't hard to do and sacrifices the future of the team. Teams run this way eventually reach a state of weak productivity due to high turnover and completely drained engineers. Good EMs strive to operate their teams in a sustainable way, taking care of their engineers while also pushing for velocity.
- **Good tech companies hold EMs accountable** - In particular, EMs are expected to uphold the overall health and integrity of their teams. Companies like Meta explicitly score managers on how well they are able to give their engineers growth opportunities, preserve their work-life balance, and shield them from thrash so they have the focus to execute.

Related resources:
- [[Masterclass] What Software Engineers Should Look For In Their Engineering Manager](https://www.jointaro.com/lesson/oeY7ncZhzJ5NO6dij5e7/masterclass-what-software-engineers-should-look-for-in-their-engineering-manager/) - The full video where this clip was taken from
- [How Do Effective Engineering Leaders Help Their Teams Achieve More?](https://www.jointaro.com/lesson/xGJDCG7VL4hcZaq5XL92/how-do-effective-engineering-leaders-help-their-teams-achieve-more/)
- ["How do I figure out whether I should stay as an IC engineer or explore management as an EM?"](https://www.jointaro.com/question/Y6qIop9wpOlCYUL0nGs0/how-do-i-figure-out-whether-i-should-stay-as-an-ic-engineer-or-explore-management-as-an-em/)
- ["What are the commonalities and differences between tech leads and engineering managers?"](https://www.jointaro.com/question/c3MLGlkQgOQ6OUHANAxT/what-are-the-commonalities-and-differences-between-tech-leads-and-engineering-managers/)

How To Negotiate A Raise At Your Current Job

Sometimes the goal isn’t to leave a job, but simply to be paid more for the work being done. Negotiating a raise internally is possible, but the dynamics are more complex due to limited leverage.

- **Internal raises are harder without leverage**: Simply asking for a raise based on merit often fails because the company knows most employees won’t go through the pain of interviewing and switching jobs.
- **Competing offers create leverage**: The most effective strategy is to secure a higher offer elsewhere and use it to negotiate a raise. This shows initiative and forces the employer to evaluate retention costs.
- **Company policy plays a role**: Some companies, like Facebook, may have policies against matching outside offers. Others, like Google, are more flexible and may respond aggressively to retain top talent, especially when the competing offer comes from a company perceived as a talent threat.
- **Raises typically come in equity**: When a raise is granted in response to a competing offer, the increase often comes in the form of additional stock (RSUs), rather than base salary.
- **This approach is a calculated risk**: Bringing a competing offer can trigger a raise, but it can also signal that an employee is willing to leave, which may affect internal perception. It should be done carefully and with genuine intent.

Amazing Pull Request Example - Showing The Context

In this video segment, we highlight a real-world example of a **high-quality code review** that demonstrates how providing strong context can dramatically improve the review process. This example reinforces the idea that well-documented pull requests reduce friction and foster better collaboration.

### Key Takeaways:

- **We showcase an exemplary pull request**: Submitted by a community member to the Tech Career Growth app, this PR included everything a reviewer needs—clear references, detailed explanations, and strong rationale.
- **We value clear linkage to issue tracking**: By referencing the related GitHub issue, the diff immediately communicates *why* it exists and what it’s solving—eliminating ambiguity.
- **We appreciate front-loaded context**: The PR offered an in-depth explanation of the author’s approach and alternatives considered, allowing us to understand the logic behind each code decision before even reading the code.
- **We reduce review overhead with context**: This kind of thoughtful diff saves time, prevents unnecessary back-and-forth, and lets reviewers dive straight into meaningful feedback.
- **We encourage others to learn from good examples**: We’re sharing this PR and slide deck so our community can use it as a model for writing better pull requests and improving team productivity.

**Here's why this pull request is great:**

- Has the relevant context behind why this PR exists and what it does
- Goes through the considered approaches to the problem and why the current one was chosen
- Links relevant resources that helped write the code

You can find the pull request that is shared in the video here: <https://github.com/Gear61/tcg-android-archive-and-feedback/pull/19>

Master The DSA Interview [Part 1] - How This Course Works

Hate data structures and algorithms? We do too, which is why we're here to help! Here are the core parts of the lesson:

- Your instructor [Alex Chiou](https://www.linkedin.com/in/alexander-chiou/) walks you through his extensive 10+ year Silicon Valley background with rapid career advancement, ending up as a high-performing tech lead making $750k at Robinhood. More importantly, he goes through how he gave \~100 data structures and algorithms interviews at Meta (codenamed the "Ninja" round) and rejected 80% of candidates

- You'll understand the high-level reasons why engineers struggle with data structures and algorithms problems, particularly with top-level interviews

- We walk you through the course objectives. By the end of the course, you will:

  - 🔥 Be **motivated** to grind DSA

  - 💡 Understand how to **truly learn** DSA concepts

  - 🗣️ Know how to navigate DSA in a **live** interview

  - 🏔️ See how DSA is proctored at **top companies** (FAANG)

  - 🧠 Set up a proper DSA **studying regimen**

If you haven't already, we recommend taking the overall job searching course here: [Ace Your Tech Interview And Get A Job As A Software Engineer](https://www.jointaro.com/course/ace-your-tech-interview-and-get-a-job-as-a-software-engineer/)

Who Gets Cut In A Mass Tech Company Layoff?

After a layoff, some will be cut and the rest will survive. This begs the question: Who gets cut? There is a lot of misinformation about how these decisions are made, so this video goes over how this extremely painful process actually works.

Here are the core points:
- **Layoffs vary heavily based on company** - There is no standard when it comes to layoffs, and different companies value different things. *There is no such silver bullet that will protect you 100% from layoffs.*
- Potential layoff factors (remember, there are exceptions to all of these):
  - **Performance** - High-performers will be preserved over low-performers
  - **Org priority** - Higher revenue orgs will be preserved over loss makers
  - **Seniority** - Senior engineers will be preserved over more junior engineers
  - **Tenure** - Engineers with deep domain expertise will be preserved over newbies who are still learning the ropes
- **For most people, layoffs are effectively random** - At the end of the day, layoffs are almost always made by executives with very incomplete information. You can be a consistent high-performing software engineer who is a 10-year company veteran and still get cut. Do your best and keep your expectations realistic.

Related resources:
- ["How to survive potential layoffs?"](https://www.jointaro.com/question/ydZFpJz0x8wKUIfd8E1r/how-to-survive-potential-layoffs/)
- ["Are layoffs random or can I do something to prevent getting laid off?"](https://www.jointaro.com/question/TIX9Mox7KAPJg6ZUujpg/are-layoffs-random-or-can-i-do-something-to-prevent-getting-laid-off/)

What Too Many Companies Don’t Get: Management IS NOT A Promotion

Most tech companies have no idea what they're doing when it comes to engineering managers and overall leadership culture. One of the clearest ways this is reflected is how engineering manager is positioned within the company hierarchy.

Here are the core points:

- **Management is NOT a promotion** - Becoming an engineering manager is about adding value to the overall engineering in a different way. It's not about "moving up" or "controlling the engineers". *A trademark sign of bad companies is that they position the switch into management as moving up the corporate ladder.* The problem with this is that employees then switch into management for the wrong reasons, chasing money and power. This leads to an unhealthy dynamic between engineers and manager as engineers are "beneath" the manager, usually leading to the manager treating them as expendable and burning them out.
- **Top companies have separate SWE and EM tracks** - In companies like FAANG, both staying as an individual contributor (IC) software engineer and becoming an engineering manager are valid career paths with the same ceilings. This means that for every management level (manager, director, VP), there is an equivalent software engineering level with a similar amount of compensation.

Related resources:

- [How Do Effective Engineering Leaders Help Their Teams Achieve More?](https://www.jointaro.com/lesson/xGJDCG7VL4hcZaq5XL92/how-do-effective-engineering-leaders-help-their-teams-achieve-more/)
- ["What do career levels structure in big tech company look like? What are the responsibilities for each level?"](https://www.jointaro.com/question/qV5oikdcgs4GWmGeousX/what-do-career-levels-structure-in-big-tech-company-look-like-what-are-the-responsibilities-for-each-level/)

Avoid This Commonly Held Naive Perception Of Managers

DSA Crash Course [Part 4] - Is Prime Approach

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

> Write a function, *is_prime*, that takes in a number as an argument. The function should return a boolean indicating whether or not the given number is prime.
>
> A prime number is a number that is only divisible by two distinct numbers: 1 and itself.
>
> For example, 7 is a prime because it is only divisible by 1 and 7. For example, 6 is not a prime because it is divisible by 1, 2, 3, and 6.
>
> You can assume that the input number is a positive integer.

```
is_prime(2) # -> True
```

```
is_prime(3) # -> True
```

```
is_prime(4) # -> False
```

```
is_prime(5) # -> True
```

```
is_prime(6) # -> False
```

```
is_prime(7) # -> True
```

```
is_prime(8) # -> False
```

```
is_prime(2017) # -> True
```

```
is_prime(2048) # -> False
```

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/>

Write A Stellar Resume As A Software Engineer [Part 3] - The Key To Writing A Great Resume

In the vast majority of cases, a recruiter is reviewing the resumes of software engineers. This means a lot more than most engineers realize. This lesson teaches you:

- The #1 principle you **need** to remember when writing your resume
- The important attributes of recruiters when it comes to vetting resumes
- How to truly empathize with recruiters and infer their resume screening behaviors based on that
- How recruiters read through engineering resumes

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 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

[Case Study] How Engineers Unlock Huge Impact With Artificial Intelligence (AI)

This was a joint presentation from engineers who have been using Artificial Intelligence (AI) to become significantly more productive. The result is fewer repetitive tasks, fewer bugs, and more impact. The AI transformation is not some future technology that we are anticipating -- **it's happening now**. ChatGPT is the fastest application ever to reach 100M monthly active users.

We can broadly categorize AI tools into 2 buckets (generative vs analysis). Think about what is most helpful for your job and dig into other tools in that domain.

We focus primarily on productivity benefits from conversational agents like ChatGPT, Bard, and Anthropic. **The first response is usually generic and unhelpful, but simple tricks can make the output significantly more valuable**. Sample prompts: *"How can I send a text message in a Rails app with Twilio?"* and *"How can I show a div in the screen after 15 seconds of inactivity on a webpage?"*

Top 5 prompt engineering tips for Software Engineers: 
1. Ask ChatGPT to list its steps, work, or sources
2. Split your prompt into clear sections
3. Use “unique”, “unconventional”, and “creative” to get better responses
4. Make ChatGPT roleplay
5. Give ChatGPT examples of correct inputs and outputs

Some sample prompts from Jordan's [summary doc](https://www.notion.so/jordancutler/GPT-prompts-90179f5fc49440c6bffaeb94e5cfcb4c?pvs=4): 
- **[Feedback]** "Tell me 5 reasons this feature won’t work as intended"
- **[Engineering]** "Given the following code, write a comprehensive test suite in X testing library"
- **[Learning]** "Explain { topic } as if I am a principal software engineer with 10+ years of experience. Go into deep technical detail and explain how it works under the hood"
- **[Meetings]** "I’m a junior software engineer at a Series A tech company. Can you come up with 10 topics for me to talk with my manager about in our 1-1?"

Here are the top paid tools that the speakers use: 
- [Github Copilot](https://github.com/features/copilot) - $10/month
- [ChatGPT Plus](https://openai.com/blog/chatgpt-plus) - $20/month
- [Notion AI](https://www.notion.so/product/ai) - $10/month

Speakers:
- [Donn Felker](https://twitter.com/donnfelker)
- [Jordan Cutler](https://www.linkedin.com/in/jordancutler1/)
- [Mike Alnakhaleh](https://www.linkedin.com/in/malik-mike-a-32b63818b/)

Related resources on Taro:
- ["How to AI proof your career?"](https://www.jointaro.com/question/3xg5SvXnyTQ0mhNLfbK1/how-to-ai-proof-your-career/)
- ["Using Artificial Intelligence (AI) in side projects?"](https://www.jointaro.com/question/20UiCYH3QwkWkvGTrFsY/using-artificial-intelligence-ai-in-side-projects/)
- ["ChatGPT plugins to your IDE - How to prepare?"](https://www.jointaro.com/question/ZqQiiaPjpzYQ8XKPOQZK/chatgpt-plugins-to-your-ide-how-to-prepare/)
- [The slides for this presentation](https://docs.google.com/presentation/d/1lfMP8qlSix6IDNAUbyraamLgtIHwkxbbQgbpgcBqr2c/edit?usp=sharing)

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.