How to Win with AI in 2026
386 segments
The advice you're following is already
outdated. If you're trying to break into
tech in 2026 and you're still following
advice from even last year, you're
already behind. I know that sounds
dramatic, but I run a mentorship program
where over 40 people landed actual
developer jobs last year at companies
like Zillow and American Express with
salaries ranging from 70k all the way to
110k. And even with that track record,
I've had to completely rethink what we
teach this year. Game has changed that
much. That's why I want to make this
video because the advice that got people
hired in 2025 is not the same advice
that's going to get you hired this year.
In 2025, the way we used to help our
mentees was by helping them create a
full stack application with real users
on it. We gave our mentees a very
efficient AI workflow so that they could
repeat the process over and over. And we
provided work experience from my network
to create resume so they could land
interviews very frequently. This formula
worked for over 40 mentees last year.
They landed not just interviews, but
actual jobs at companies like Zillow and
American Express and dozens of startups
with salaries ranging from 70k all the
way to 110k annually. While this formula
will most likely still work for our
mentees in 2026, we realized there are a
few key things we need to add to make
sure our guys not only land jobs, but
actually become developers that are AI
proof. Developers that go on to have
long careers as senior developers, tech
leads, or even millionaire tech CEO of a
company. And the two key things I want
to emphasize are this. Number one,
understanding exactly how much coding
knowledge you need before introducing
AI. And number two, shifting your mind
from just a developer to thinking in
workflows. If you understand these two
key points, then you will know exactly
how to win with AI in 2026 and hopefully
land a six-figure full stack developer
role this year. For context, my name is
Phil. I turned my life around from an
English teacher to a developer at the
age of 30. Shortly after, I became a
senior developer, then a tech lead at
both startups and Big Tech. Today, I run
a mentorship program that helps aspiring
developers both with CS degree or
without one land developer jobs in this
confusing crazy market. And because tech
is such a volatile industry, you have to
keep up with the newest technology or
you will get left behind. The one
question I always run into is, "Is tech
dying? Is AI going to replace
developers?" And I'm going to be
completely real with you. The
entry-level jobs that used to exist are
shrinking, but it's not because tech is
dying. It's because those entry-level
positions had too low of a barrier to
entry. Nobody's hiring you if your skill
is being able to code basic CRUD apps or
make simple APIs. I literally saw a job
posting last week that listed AI
assisted development workflow as a
required skill for a junior role. That's
the bar now. That was the entry point a
few years ago, but now AI can do a lot
of that instantly. The path isn't for
everyone. So, if the more difficult
barrier to entry discourages you or even
makes you want to quit, this path was
not for you anyways. To those guys, stop
this video because at the end of the
day, to the ones who are going to earn
six-figure salaries in tech in the
future, landing your first job was never
the true goal. It was just a stepping
stone. And those are the people I've
been working with for the last year or
so. The highest six-figure paydays, the
profitable apps you want to make, all of
that is on the other side of becoming a
resourceful, skilled software developer
who can solve real-world problems really
quickly. And that requires a checkpoint
much further than landing your first
developer job. So, I always tell my
mentees, "If your end goal beyond this
mentorship was just to land your first
job, you're never going to make it
anyways." Shift your mindset right now.
Make up your mind and accept the
following fact. AI is here to stay. It's
not going to get any worse. It's only
going to get better. And make up your
mind. Okay, from today, my journey to
becoming a six-figure salary developer
begins. And I'm going to do everything
in my power to get there. And so, once
you've made up your mind to become that
guy, comment below, "I'm going to start
today." And let's become that AI proof
developer that every company desires
this year. So, here's the game plan.
There are two things you need to
understand if you want to become an AI
proof developer. First, as I mentioned,
is knowing exactly how much coding
knowledge you need before introducing AI
heavily. And second is shifting your
mindset from a developer who writes code
to someone who thinks in terms of
workflows. Gone are the days where you
need to be a 10-year veteran to be
considered a cracked developer. With AI,
you can now reach a level in months that
used to take people years. But here's
the catch. If you skip the foundation,
AI won't save you. It will expose you.
Let me explain what I mean.
Think of AI like Tesla's autopilot. It's
incredible technology. It can drive for
you, switch lanes, and park itself, but
you still need a driver's license before
you get behind the wheel. Because the
moment autopilot makes a wrong move, you
need to know how to grab the wheel and
correct it. If you can't drive, you
crash. Coding with AI is the exact same
thing. If AI gives you broken code and
you can't read it, can't debug it, can't
understand why it's broken, then you're
done. You're just sitting there staring
at a red error screen with no idea what
to do next. And I see this all the time.
I call these guys clipboard developers.
They copy from AI, paste it in, pray it
works, and when it doesn't, they go
right back to AI and say, "Fix this."
And they go in circles for hours. That
is not a developer. That's someone using
a tool they don't understand. So, here's
what you actually need to know before
you start relying on AI heavily. You
need to be able to hand write the basics
without any AI assistance. I'm talking
about variables, loops, conditionals,
functions, the absolute fundamentals in
JavaScript or Python. Then, you need to
understand how HTTP works. What actually
happens when your front end sends a
request to your back end, get, post,
put, delete. You need to understand the
full request cycle. How does a front end
talk to back end? And how does that back
end talk to a database? And you need to
be able to read error messages. Not just
copy and paste them into ChatGPT, but
actually look at a stack trace and know
where to look. This is not years of
study. This is roughly 4 to 8 weeks of
focused, intentional learning. No
distractions, no tutorial hell, no
jumping between 10 different courses,
just focused, structured work on the
fundamentals. And the reason this
matters more than ever is because
companies are catching on. I've talked
to hiring managers and the interviews
have changed. They're no longer just
asking you to build something. They're
asking you to explain what you built
line by line. One of our mentees, Alex,
who landed a role earlier this year,
told me that in his interview, they
literally pointed to a function and
said, "Walk me through how this handles
authentication." If he had only
copy-pasted from AI, he would have
fumbled on the spot. But
he walked them through it confidently
and got the offer. And this hasn't just
been a one-time thing. Over the last 4
months, our mentees are consistently
getting interviews where they're asked
to explain their thought process through
the code that they've written. And this
is the direction the entire industry is
going. Companies like IBM are tripling
their entry-level hiring right now, but
the role has completely shifted. It's no
longer about writing routine code. It's
about working with customers,
understanding the problem, and
specifying the features that AI will
help you build. They want people who
understand what they're building, not
people who can just prompt. So, here's
the rule I give all my mentees. You
don't touch AI until you can build a
basic full stack CRUD app by hand and
explain every single piece of it. Once
you can do that, now you turn on AI. And
when you do that, it becomes a
multiplier, not a crutch. Instead of
spending 3 hours writing boilerplate,
you write the core logic yourself and
let AI scaffold the repetitive stuff
around it. You go from building one
project a month to three or four. That's
the power of AI when you actually have
the foundation to use it properly. Stop
thinking like a developer. Think like a
workflow builder. Now, let's talk about
the second key point. And honestly, this
one might be even more important. You
need to stop thinking of yourself as
someone who writes code and start
thinking of yourself as someone who
solves problems using systems. I call
this being a workflow thinker. Let me
break it down. A developer writes a
function. That's it. But a workflow
thinker asks, "What triggers this
function? What happens after it runs?
What breaks if it fails? How does this
affect the user's experience?" You're
not just building features anymore.
You're designing entire systems,
pipelines, automations, connected
workflows. And this is what separates a
70k developer from a six-figure
developer. Because the reality is,
companies in 2026 are not hiring people
who can just write code. AI can write
code. They're hiring people who can
think. People who have judgment. People
who can look at a business problem and
design a system to solve it. The whole
industry is shifting this way. Companies
are no longer hiring for tools or
titles. They're hiring for the ability
to connect technology decisions to
actual business outcomes. They want
someone who can say, "Here's how we
handle authentication, session
management, rate limiting, and password
recovery as one connected flow." That is
a workflow thinker. That is the person
who gets the offer. So, here's how we
actually teach this in our mentorship
program. Step one, identify the problem,
not the feature. Most junior developers
get this wrong. Their boss says, "Build
a dashboard." And they go build a
dashboard. But the real problem might be
that users are churning after sign up.
So, the actual solution isn't a
dashboard. It's an onboarding workflow
that keeps users engaged in the first 7
days. If you can identify the real
problem, you're already thinking like a
senior developer. Step two, map out the
system before you write a single line of
code. What are all the moving pieces?
Front end, back end, database,
third-party APIs, cron jobs,
notifications. How do they all connect?
Draw it out. Whiteboard it. Get clear on
the architecture before you start
building. This is what separates someone
who builds things that work from someone
who builds things that last. And step
three, decide what you code versus what
AI codes. You handle the architecture
decisions, the business logic, the edge
cases. AI handles the boilerplate, the
repetitive CRUD operations, the tests,
the documentation. When you split the
work this way, you're not replacing
yourself with AI. You're amplifying
yourself. And step four, ship it. Get
real feedback. Iterate. The best
developers in 2026 are not
perfectionists. They're iterators. Build
fast with AI, get it in front of real
users, collect feedback, and improve
with intention. That cycle is how you
become dangerous. And let me give you a
real example of how this works. One of
our mentees built a full-stack inventory
management tool for a small business.
Now, he didn't just build the app and
call it a day. He mapped out the entire
workflow. Supplier gets notified when
stock is low. Auto reorder triggers kick
in at a certain threshold. The business
owner has a dashboard that shows
everything in real time. In his
interview, he didn't just show the code.
He walked through the entire system, how
each piece connected, why he made
certain architecture decisions, where he
used AI and where he didn't. The
interviewer told him, "This is how
senior developers think." He got the
offer at 95k. That's the difference. He
didn't just build an app. He designed a
system. And he could explain every piece
of it. So, let me give you a quick recap
of what an AI-proof developer looks like
in 2026. You have a strong coding
foundation that was built before you
became dependent on AI. You can explain
every single line of code you ship,
whether you wrote it or AI wrote it. You
think in workflows and systems, not just
features. You use AI as a force
multiplier, not a replacement for
understanding. You build full-stack
projects with real users, not just
tutorial projects that sit on your
GitHub collecting dust. And you stack
your resume with actual work experience,
not just side projects. If you can check
all those boxes, you are in the top tier
of candidates in this market, period.
Now, if everything I just said resonated
with you, but you're sitting there
thinking, "Okay, Phil, that all sounds
great, but how do I actually do all of
this?" That's exactly what my mentorship
program is for. We don't just teach you
how to code. We build you into the
developer that companies are desperate
to hire in 2026. You get a structured
coding foundation, so you don't skip the
basics. You get our AI workflow system,
so you can build three to four times
faster than the average bootcamp grad.
And you get real work experience from my
network, so your resume doesn't look
like every other self-taught developer
out there. And you get direct
mentorship, both one-on-one and in group
sessions. Because you shouldn't have to
figure this out alone. Over 40 of our
mentees landed jobs last year at
companies like Zillow and American
Express. We currently have over 160
people enrolled, and we are constantly
updating the program every single week
to stay ahead of everything that's
changing with AI. If you're serious
about making 2026 the year you break
into tech, the link is in the
description. Apply today, and I'll be
real with you. Spots are limited because
I work directly with every single
mentee. This is not some massive online
course where you never talk to anyone.
I'm in the trenches with you. And if
you're still on the fence, just DM me on
Instagram at let'sfill.code. I'll answer
your questions personally. No pressure,
no sales pitch, just a real conversation
about where you're at and whether this
is the right fit for you. At the end of
the day, AI is not your enemy. It's your
weapon, but only if you know how to use
it. So, stop watching, start building,
and I'll see you inside. And remember,
if I can do it, you can do it, too.
Coding saves lives.
Ask follow-up questions or revisit key timestamps.
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.
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