800+ hours of Learning Claude Code in 8 minutes (2026 tutorial / unknown tricks / newest model)

After spending over 800 hours in Claude

Code, I've discovered ways to actually

make this thing work for me, not against

me. Especially at times when I need to

move fast as a solo developer. Whether

you're churning through tickets at a

corporate tech job or attempting to vibe

code your next 10K a month app. If

Claude has ever felt dumb to you at

times, then it's likely you're just

missing critical parts of the setup. In

this video, I'll walk you through my

private workflows, essential resources,

and teach you the six core features that

most developers are unaware of in Claude

Code. So, by the end, you'll be shipping

faster with Claude instead of wasting

time fighting it. Before we dive into

the advanced workflows and hidden

tricks, let's make sure we quickly cover

the foundations. These free features

have saved me hours of repeating myself

to Claude every single session. When I

first started using Claude Code, I found

myself repeating same instructions over

and over again. The easy solution is to

make use of Claude's memory feature.

Press the hash key to quickly add some

instruction snippets to Claude's memory.

You can decide whether you want to apply

these instructions locally to the

project or globally across all Claude

sessions. And you will see these

instructions get saved to the claude.md

file. So if you ever change your mind,

you can easily edit or remove them. I

also found myself typing the same

prompts to perform small repetitive

tasks like creating a new API endpoint

that correctly includes my custom

middleware with error handling and type

interfaces or running the TypeScript

llinter command and fixing all errors

around the codebase. This led me to

build my own library of custom commands

that I can easily call with a few

keystrokes. To create your first

command, just add a new commands

directory within your clawed folder and

then write out your command in a

markdown file. And as your command

library grows, you can sort them into

subdirectories to keep them organized

and easier to find. You can also make

commands accept arguments. This is what

allows commands to be more flexible and

reusable in different scenarios. So just

be conscious of what you are prompting

to claude over and over again. Then

slowly build up your own command library

as you go. I've also used this GitHub

repo which has a bunch of useful

commands that I use every day for

building. In the early days of building

with clawude code, one of my biggest

frustrations was making sure it

references the latest documentation when

building new features or debugging

errors, especially with frameworks and

libraries that are constantly being

updated. But as you know, AI assistants

are only as good as their training data

and forcing it to use web search to

fetch the latest data wasn't reliable

either. This is where MCP servers come

in. specifically one that I use every

day called Context 7 is essentially a

service that allows Claude to reference

the most up-to-date documentation for

the most popular coding libraries. And

this alone has saved me hours constantly

having to Google search and copy and

paste the latest docs into my prompts.

Now I can just rely on context 7 as a

centralized source for when I need the

AI to reference any kind of

documentation. And to use it, you just

have to add two words into your prompt.

Use context 7 and Claude will

automatically call the server to fetch

the latest docs whenever it needs to.

And you might be asking what exactly are

MCP servers? To explain it simply, just

think of it as a way to connect AI

agents to external tools and services.

And this just gives the AI more

capabilities for its tasks like

connecting to a database, calling a

custom API, or executing code on some

remote server. If you would like to know

where I browse for MCP servers, here are

some great repos that I recommend

checking out. Some other MCP servers

that I use regularly are Superbase to

allow Claude to query data directly from

my app's database, apply migrations or

create new tables for any new features I

am building, the Chrome Dev Tools and

Playright MCP, which gives Claude the

ability to autonomously debug and test

issues on the front end by letting it

control the browser and inspect the DOM

and console logs. I also use the Strap

MCP for when I build something that

touches the payment side of my app and

also the VEL MCP for when I need to look

up the latest documentation or make

changes to my project settings. As a

solo developer, my process for building

new features used to look something like

this. Create the front-end UI

components, write the API endpoints, and

run some database migrations. This

approach wasn't bad, but it just meant I

had to do things in a very sequential

order, which wasn't very efficient. But

ever since I discovered how to properly

use claude sub aents to do work in

parallel, I've been able to build and

ship features in a fraction of the time.

Firstly, what are sub aents? They are

isolated clawed instances that can work

in parallel with each other and feed

crucial information back to the main

orchestrator agent once it has finished

the task. In simple terms, using sub

agents will greatly help reduce any

pollution to the main context window

because each sub agent will get its own

context window, system prompt, and tool

use permissions. So, they are great for

offloading smaller and more specific

tasks. But what I see people doing with

sub agents is they assign them to act as

specific roles like a front-end

developer, a UIUX designer or a product

manager. And I can tell you I spent a

good couple of hours trying to work with

agents this way. And the results were

pretty bad compared to just using claude

code with no agent specific

instructions. Personally, I don't think

sub agents are at a point yet where you

can assign them specific roles and rely

on them to brainstorm and work

autonomously like a real human would.

But that's okay. They still saved me a

lot of time and effort on tasks is

actually good at. What has worked really

well for me is to define sub agents for

tasks, not roles. Like cleaning up and

optimizing the code it has just written,

generating documentation or gathering

research data from the web. For example,

one of the sub aents I use regularly is

this one that reviews the UIUX of my

app. It connects to the Playright MCP

server and inspects the UI components of

my web app in the browser and it gives

feedback based on the design and

usability of the UI components. I think

this is the best way to make use of sub

aents because it handles work that would

have previously taken up precious

context tokens from the main agent and

it just helps to maintain a higher

quality of the overall output. To create

a sub agent, use the / agents command.

Select create a new agent. Choose

project or personal. Select generate

with Claude. Then describe the sub aents

task in natural language. Customize the

tool use permissions and then save. And

to invoke a sub aent, just use natural

language or the ad symbol to directly

call the sub aent within your prompt.

Now that I've told you all about slash

commands, sub aents, and MCP servers,

you might be put off by the thought of

having to set up all these tools

manually for your own projects. Well,

luckily, Anthropic recently released a

new feature called plugins, which allows

users to bundle up their setups into a

single package. So, you can literally

clone a Claude Power user's entire

workflow with a single command. And if

you're curious about my personal setup,

I've published my own plug-in

marketplace, which you can add by

running this command. From there, just

pick and choose which plugins you would

like to install. Feel free to add only

what you need. I want to talk about the

mindset and expectations I've adopted

when working with AI to build apps.

Because after spending hundreds of hours

of trial and error using AI to help with

coding tasks, I found these are the

things that have given me the biggest

productivity boost. Garbage in equals

garbage out. If you can't write a prompt

that clearly instructs the AI on what to

do, then you don't actually know what

you want, and the AI definitely won't

either. I found learning some basic

prompt engineering has forced me to

break down my problems into smaller

pieces, which also clarifies my own

thoughts in the process. Or if the idea

is still vague in my mind, I will use

Claude's plan mode to have a quick Q&A

session and make it ask me clarifying

questions so we can be on the same page

before I let it write any code. AI

generates code, but humans own it.

Before pushing to production, just start

a new session with the AI, asking it to

review the code on the files it's

recently touched. Don't let the AI make

you lazy about the fundamentals like

security, performance, or error

handling, because given enough time, if

you keep ignoring these things, it will

eventually lead to vulnerabilities and

bugs if you don't constantly review it.

Speed means nothing if your app is buggy

or insecure. So, these have been my top

tips for getting the most out of Claude

Code when building apps as a solo

developer. Let me know what you think

and I'll see you in the next one.

Bye-bye.