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How to Win with AI in 2026

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How to Win with AI in 2026

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386 segments

0:00

The advice you're following is already

0:01

outdated. If you're trying to break into

0:03

tech in 2026 and you're still following

0:06

advice from even last year, you're

0:08

already behind. I know that sounds

0:11

dramatic, but I run a mentorship program

0:14

where over 40 people landed actual

0:16

developer jobs last year at companies

0:18

like Zillow and American Express with

0:21

salaries ranging from 70k all the way to

0:23

110k. And even with that track record,

0:27

I've had to completely rethink what we

0:29

teach this year. Game has changed that

0:32

much. That's why I want to make this

0:34

video because the advice that got people

0:37

hired in 2025 is not the same advice

0:40

that's going to get you hired this year.

0:42

In 2025, the way we used to help our

0:45

mentees was by helping them create a

0:47

full stack application with real users

0:49

on it. We gave our mentees a very

0:51

efficient AI workflow so that they could

0:54

repeat the process over and over. And we

0:56

provided work experience from my network

0:59

to create resume so they could land

1:02

interviews very frequently. This formula

1:04

worked for over 40 mentees last year.

1:07

They landed not just interviews, but

1:09

actual jobs at companies like Zillow and

1:12

American Express and dozens of startups

1:15

with salaries ranging from 70k all the

1:17

way to 110k annually. While this formula

1:21

will most likely still work for our

1:23

mentees in 2026, we realized there are a

1:26

few key things we need to add to make

1:28

sure our guys not only land jobs, but

1:31

actually become developers that are AI

1:33

proof. Developers that go on to have

1:35

long careers as senior developers, tech

1:38

leads, or even millionaire tech CEO of a

1:41

company. And the two key things I want

1:44

to emphasize are this. Number one,

1:46

understanding exactly how much coding

1:48

knowledge you need before introducing

1:51

AI. And number two, shifting your mind

1:54

from just a developer to thinking in

1:57

workflows. If you understand these two

1:59

key points, then you will know exactly

2:02

how to win with AI in 2026 and hopefully

2:06

land a six-figure full stack developer

2:08

role this year. For context, my name is

2:11

Phil. I turned my life around from an

2:13

English teacher to a developer at the

2:15

age of 30. Shortly after, I became a

2:18

senior developer, then a tech lead at

2:20

both startups and Big Tech. Today, I run

2:23

a mentorship program that helps aspiring

2:25

developers both with CS degree or

2:27

without one land developer jobs in this

2:30

confusing crazy market. And because tech

2:33

is such a volatile industry, you have to

2:35

keep up with the newest technology or

2:38

you will get left behind. The one

2:40

question I always run into is, "Is tech

2:42

dying? Is AI going to replace

2:44

developers?" And I'm going to be

2:46

completely real with you. The

2:48

entry-level jobs that used to exist are

2:50

shrinking, but it's not because tech is

2:53

dying. It's because those entry-level

2:55

positions had too low of a barrier to

2:58

entry. Nobody's hiring you if your skill

3:00

is being able to code basic CRUD apps or

3:03

make simple APIs. I literally saw a job

3:06

posting last week that listed AI

3:09

assisted development workflow as a

3:11

required skill for a junior role. That's

3:14

the bar now. That was the entry point a

3:16

few years ago, but now AI can do a lot

3:19

of that instantly. The path isn't for

3:22

everyone. So, if the more difficult

3:25

barrier to entry discourages you or even

3:27

makes you want to quit, this path was

3:29

not for you anyways. To those guys, stop

3:32

this video because at the end of the

3:34

day, to the ones who are going to earn

3:36

six-figure salaries in tech in the

3:38

future, landing your first job was never

3:42

the true goal. It was just a stepping

3:44

stone. And those are the people I've

3:46

been working with for the last year or

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so. The highest six-figure paydays, the

3:50

profitable apps you want to make, all of

3:53

that is on the other side of becoming a

3:55

resourceful, skilled software developer

3:58

who can solve real-world problems really

4:00

quickly. And that requires a checkpoint

4:04

much further than landing your first

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developer job. So, I always tell my

4:08

mentees, "If your end goal beyond this

4:10

mentorship was just to land your first

4:12

job, you're never going to make it

4:14

anyways." Shift your mindset right now.

4:17

Make up your mind and accept the

4:19

following fact. AI is here to stay. It's

4:21

not going to get any worse. It's only

4:24

going to get better. And make up your

4:26

mind. Okay, from today, my journey to

4:29

becoming a six-figure salary developer

4:31

begins. And I'm going to do everything

4:35

in my power to get there. And so, once

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you've made up your mind to become that

4:39

guy, comment below, "I'm going to start

4:42

today." And let's become that AI proof

4:44

developer that every company desires

4:47

this year. So, here's the game plan.

4:49

There are two things you need to

4:51

understand if you want to become an AI

4:53

proof developer. First, as I mentioned,

4:56

is knowing exactly how much coding

4:58

knowledge you need before introducing AI

5:01

heavily. And second is shifting your

5:04

mindset from a developer who writes code

5:07

to someone who thinks in terms of

5:09

workflows. Gone are the days where you

5:11

need to be a 10-year veteran to be

5:13

considered a cracked developer. With AI,

5:17

you can now reach a level in months that

5:19

used to take people years. But here's

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the catch. If you skip the foundation,

5:24

AI won't save you. It will expose you.

5:27

Let me explain what I mean.

5:29

Think of AI like Tesla's autopilot. It's

5:32

incredible technology. It can drive for

5:34

you, switch lanes, and park itself, but

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you still need a driver's license before

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you get behind the wheel. Because the

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moment autopilot makes a wrong move, you

5:44

need to know how to grab the wheel and

5:46

correct it. If you can't drive, you

5:48

crash. Coding with AI is the exact same

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thing. If AI gives you broken code and

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you can't read it, can't debug it, can't

5:56

understand why it's broken, then you're

5:59

done. You're just sitting there staring

6:01

at a red error screen with no idea what

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to do next. And I see this all the time.

6:06

I call these guys clipboard developers.

6:09

They copy from AI, paste it in, pray it

6:12

works, and when it doesn't, they go

6:14

right back to AI and say, "Fix this."

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And they go in circles for hours. That

6:18

is not a developer. That's someone using

6:21

a tool they don't understand. So, here's

6:24

what you actually need to know before

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you start relying on AI heavily. You

6:28

need to be able to hand write the basics

6:31

without any AI assistance. I'm talking

6:34

about variables, loops, conditionals,

6:36

functions, the absolute fundamentals in

6:38

JavaScript or Python. Then, you need to

6:41

understand how HTTP works. What actually

6:44

happens when your front end sends a

6:47

request to your back end, get, post,

6:49

put, delete. You need to understand the

6:51

full request cycle. How does a front end

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talk to back end? And how does that back

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end talk to a database? And you need to

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be able to read error messages. Not just

7:02

copy and paste them into ChatGPT, but

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actually look at a stack trace and know

7:07

where to look. This is not years of

7:09

study. This is roughly 4 to 8 weeks of

7:12

focused, intentional learning. No

7:14

distractions, no tutorial hell, no

7:17

jumping between 10 different courses,

7:19

just focused, structured work on the

7:22

fundamentals. And the reason this

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matters more than ever is because

7:26

companies are catching on. I've talked

7:29

to hiring managers and the interviews

7:31

have changed. They're no longer just

7:33

asking you to build something. They're

7:35

asking you to explain what you built

7:37

line by line. One of our mentees, Alex,

7:41

who landed a role earlier this year,

7:43

told me that in his interview, they

7:45

literally pointed to a function and

7:47

said, "Walk me through how this handles

7:49

authentication." If he had only

7:51

copy-pasted from AI, he would have

7:54

fumbled on the spot. But

7:58

he walked them through it confidently

8:01

and got the offer. And this hasn't just

8:03

been a one-time thing. Over the last 4

8:06

months, our mentees are consistently

8:08

getting interviews where they're asked

8:11

to explain their thought process through

8:13

the code that they've written. And this

8:15

is the direction the entire industry is

8:17

going. Companies like IBM are tripling

8:20

their entry-level hiring right now, but

8:22

the role has completely shifted. It's no

8:25

longer about writing routine code. It's

8:27

about working with customers,

8:29

understanding the problem, and

8:31

specifying the features that AI will

8:34

help you build. They want people who

8:36

understand what they're building, not

8:38

people who can just prompt. So, here's

8:40

the rule I give all my mentees. You

8:43

don't touch AI until you can build a

8:45

basic full stack CRUD app by hand and

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explain every single piece of it. Once

8:50

you can do that, now you turn on AI. And

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when you do that, it becomes a

8:55

multiplier, not a crutch. Instead of

8:57

spending 3 hours writing boilerplate,

9:00

you write the core logic yourself and

9:02

let AI scaffold the repetitive stuff

9:04

around it. You go from building one

9:06

project a month to three or four. That's

9:08

the power of AI when you actually have

9:10

the foundation to use it properly. Stop

9:13

thinking like a developer. Think like a

9:15

workflow builder. Now, let's talk about

9:17

the second key point. And honestly, this

9:20

one might be even more important. You

9:22

need to stop thinking of yourself as

9:25

someone who writes code and start

9:27

thinking of yourself as someone who

9:29

solves problems using systems. I call

9:31

this being a workflow thinker. Let me

9:34

break it down. A developer writes a

9:36

function. That's it. But a workflow

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thinker asks, "What triggers this

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function? What happens after it runs?

9:43

What breaks if it fails? How does this

9:46

affect the user's experience?" You're

9:48

not just building features anymore.

9:50

You're designing entire systems,

9:52

pipelines, automations, connected

9:55

workflows. And this is what separates a

9:58

70k developer from a six-figure

10:00

developer. Because the reality is,

10:02

companies in 2026 are not hiring people

10:05

who can just write code. AI can write

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code. They're hiring people who can

10:09

think. People who have judgment. People

10:12

who can look at a business problem and

10:15

design a system to solve it. The whole

10:17

industry is shifting this way. Companies

10:20

are no longer hiring for tools or

10:22

titles. They're hiring for the ability

10:24

to connect technology decisions to

10:26

actual business outcomes. They want

10:29

someone who can say, "Here's how we

10:31

handle authentication, session

10:32

management, rate limiting, and password

10:35

recovery as one connected flow." That is

10:37

a workflow thinker. That is the person

10:40

who gets the offer. So, here's how we

10:42

actually teach this in our mentorship

10:44

program. Step one, identify the problem,

10:48

not the feature. Most junior developers

10:50

get this wrong. Their boss says, "Build

10:52

a dashboard." And they go build a

10:54

dashboard. But the real problem might be

10:57

that users are churning after sign up.

11:00

So, the actual solution isn't a

11:01

dashboard. It's an onboarding workflow

11:04

that keeps users engaged in the first 7

11:06

days. If you can identify the real

11:09

problem, you're already thinking like a

11:11

senior developer. Step two, map out the

11:14

system before you write a single line of

11:16

code. What are all the moving pieces?

11:18

Front end, back end, database,

11:21

third-party APIs, cron jobs,

11:23

notifications. How do they all connect?

11:26

Draw it out. Whiteboard it. Get clear on

11:29

the architecture before you start

11:30

building. This is what separates someone

11:32

who builds things that work from someone

11:36

who builds things that last. And step

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three, decide what you code versus what

11:41

AI codes. You handle the architecture

11:43

decisions, the business logic, the edge

11:46

cases. AI handles the boilerplate, the

11:49

repetitive CRUD operations, the tests,

11:51

the documentation. When you split the

11:53

work this way, you're not replacing

11:55

yourself with AI. You're amplifying

11:57

yourself. And step four, ship it. Get

12:00

real feedback. Iterate. The best

12:02

developers in 2026 are not

12:05

perfectionists. They're iterators. Build

12:07

fast with AI, get it in front of real

12:09

users, collect feedback, and improve

12:12

with intention. That cycle is how you

12:15

become dangerous. And let me give you a

12:18

real example of how this works. One of

12:21

our mentees built a full-stack inventory

12:23

management tool for a small business.

12:25

Now, he didn't just build the app and

12:27

call it a day. He mapped out the entire

12:30

workflow. Supplier gets notified when

12:33

stock is low. Auto reorder triggers kick

12:36

in at a certain threshold. The business

12:38

owner has a dashboard that shows

12:40

everything in real time. In his

12:42

interview, he didn't just show the code.

12:44

He walked through the entire system, how

12:47

each piece connected, why he made

12:49

certain architecture decisions, where he

12:52

used AI and where he didn't. The

12:54

interviewer told him, "This is how

12:56

senior developers think." He got the

12:57

offer at 95k. That's the difference. He

13:00

didn't just build an app. He designed a

13:03

system. And he could explain every piece

13:05

of it. So, let me give you a quick recap

13:08

of what an AI-proof developer looks like

13:10

in 2026. You have a strong coding

13:13

foundation that was built before you

13:15

became dependent on AI. You can explain

13:18

every single line of code you ship,

13:20

whether you wrote it or AI wrote it. You

13:23

think in workflows and systems, not just

13:25

features. You use AI as a force

13:28

multiplier, not a replacement for

13:30

understanding. You build full-stack

13:32

projects with real users, not just

13:34

tutorial projects that sit on your

13:36

GitHub collecting dust. And you stack

13:38

your resume with actual work experience,

13:40

not just side projects. If you can check

13:43

all those boxes, you are in the top tier

13:45

of candidates in this market, period.

13:48

Now, if everything I just said resonated

13:50

with you, but you're sitting there

13:52

thinking, "Okay, Phil, that all sounds

13:55

great, but how do I actually do all of

13:57

this?" That's exactly what my mentorship

13:59

program is for. We don't just teach you

14:01

how to code. We build you into the

14:03

developer that companies are desperate

14:06

to hire in 2026. You get a structured

14:08

coding foundation, so you don't skip the

14:10

basics. You get our AI workflow system,

14:13

so you can build three to four times

14:15

faster than the average bootcamp grad.

14:17

And you get real work experience from my

14:20

network, so your resume doesn't look

14:22

like every other self-taught developer

14:24

out there. And you get direct

14:26

mentorship, both one-on-one and in group

14:29

sessions. Because you shouldn't have to

14:32

figure this out alone. Over 40 of our

14:35

mentees landed jobs last year at

14:37

companies like Zillow and American

14:38

Express. We currently have over 160

14:41

people enrolled, and we are constantly

14:44

updating the program every single week

14:46

to stay ahead of everything that's

14:48

changing with AI. If you're serious

14:50

about making 2026 the year you break

14:52

into tech, the link is in the

14:54

description. Apply today, and I'll be

14:57

real with you. Spots are limited because

14:59

I work directly with every single

15:01

mentee. This is not some massive online

15:04

course where you never talk to anyone.

15:06

I'm in the trenches with you. And if

15:08

you're still on the fence, just DM me on

15:10

Instagram at let'sfill.code. I'll answer

15:12

your questions personally. No pressure,

15:14

no sales pitch, just a real conversation

15:17

about where you're at and whether this

15:19

is the right fit for you. At the end of

15:21

the day, AI is not your enemy. It's your

15:23

weapon, but only if you know how to use

15:25

it. So, stop watching, start building,

15:28

and I'll see you inside. And remember,

15:31

if I can do it, you can do it, too.

15:33

Coding saves lives.

Interactive Summary

This video outlines the necessary shift in strategy for aspiring developers to break into the tech industry in 2026. The speaker, Phil, explains that traditional advice and rote coding skills are no longer sufficient due to AI's advancement. To remain 'AI-proof,' developers must build a strong foundational knowledge of core coding concepts before relying on AI tools, learn to think in terms of workflows and systems rather than just writing features, and be able to explain their code line-by-line during interviews.

Suggested questions

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