Folks, you know that feeling when you

spend hours explaining what you need to

a coding tool and it still doesn't get

it right. Or when you finish building

something and realize you have zero

documentation. I recently discovered

coder and it might be the first AI

coding platform that actually thinks

like a developer instead of just

generating code. I am Daniel and in this

video I'll show you how this tool works

across its three core modes and why it's

different from other tools. We'll build

a complete pub management system from

scratch to see what this thing can

really do. Guys, make sure you check out

all the useful links in the description

after watching this video. Let's get

into it.

All right, friends, let's talk about

what makes Coder different. It's an

agentic coding platform built for real

software development. Unlike typical AI

tools that just generate snippets, it

understands your system architecture,

maintains live documentation, and

autonomously executes complex tasks. It

operates in three connected modes.

Conversational pair programming lets you

chat naturally with AI that fully

understands your project. Repo wiki

automatically creates and updates

documentation inside your repository.

Quest mode allows you to assign

multi-step tasks that the AI plans,

codes, and delivers independently. What

makes Codor unique is its system level

understanding. Instead of just producing

code, it acts as an engineering partner

that comprehends how everything fits

together.

All right, folks. Let's dive into the

actual build process. First, we'll

download and install Coder, then switch

to quest mode, where things get

interesting. I'll click new task and

describe what we need to build using

this prompt right here. And as you can

see, I'm describing business

requirements in plain English without

any detailed technical specs or

architecture diagrams. There's just

natural language describing what the

system should do and coder figures out

the rest. Okay guys, let's submit it for

generation and see what happens. The

smart assistant creates the task and

activates the quest mode. It's already

started working on our project design,

analyzing the requirements, and planning

the architecture. After completing the

full design phase with detailed

descriptions of everything in our

project, we move to the action flow

where the real magic happens. Look at

this folks. The intelligent assistant

breaks down the entire task into smaller

to-dos and starts generating files

systematically. It created the project

structure itself, generated the core

files, and is now working with database

tables, creating models, and adding

fields. We can see our project appearing

in the repository where we placed it.

Our job is simply to wait for the

results while the software does the

heavy lifting. After file generation,

the system provides an implementation

summary with detailed descriptions of

everything developed. It also updates

the to-do list and reviews what still

needs to be done, keeping everything

organized. After creating the project

and its implementation, it provides a

complete summary. Once that's done, the

tool moves to the next task, generating

unit tests, which is something most

developers put off until later. And

that's what is really cool about this

tool, guys. It acts like a full stack

developer or a team handling all aspects

of development, deployment, and

everything related to project

implementation. After it's done with the

action flow and providing the summary,

the smart assistant moves to the task

report. Here it offers an overview of

what was implemented in this project.

You can review all changes from the

beginning of generation to the very end

with complete traceability of every

decision made. We can save the project

and publish the branch. When pushing

your changes to G, you can use this

feature to let the AI automatically

generate a commit message for you. But

let's move to the most interesting part.

Repo wiki. Guys, one of the biggest

problems in development is maintaining

up-to-date documentation because usually

docs go stale the moment code changes.

Coder solves this problem with repo

wiki, a tool that automatically

generates and updates documentation

directly from code, keeping everything

synchronized. I click the button to

generate this documentation and coder

started the generation process

immediately. As soon as we have a new

commit with code changes, we can

regenerate repo wiki and it updates to

reflect the current state. This painoint

for every developer documenting all

actions and keeping documentation

current is solved with coder in a way

that actually works. Let's wait for the

generation results to see what it

produces. Guys, before we move on, I try

to make my content fun instead of

boring. And in return, please like this

video and subscribe to my channel if you

enjoy the content I make. And here it

is. The intelligent assistant created

the documentation for our project that

includes an overview, complete diagrams,

and examples. We can see a complete set

of 42 files with graphs and process

diagrams showing what's happening in our

API, all created automatically from the

codebase. And guys, every developer

knows how it feels to create the project

itself, then spend hours developing its

documentation separately. This approach

truly unloads routine tasks from

developers and completes in minutes what

would take us hours of manual work.

Considering it fully developed our API

project and created tests with detailed

module breakdowns, this is a massive

timesaver. There are integration tests

where you can see what it did for

authorization, menu, and setup. also

unit tests for inventory menu and all

the other core services covering all the

critical functionality. This is a

complete platform that unloads

developers hands from routine and

uninteresting tasks. These objectives

get handled automatically in quest mode

so you can focus on more creative work

that actually requires human insight.

Now friends, let's talk about what this

means for different types of developers.

For professional developers building

real applications, Codor handles the

grunt work while you focus on

architecture and innovation. Fast

scaling teams get serious productivity

gains without sacrificing code quality.

Enterprise teams managing large code

bases. Finally, get a tool that

understands context at scale, not just

individual files. Guys, even if you're

doing rapid prototyping, Coder turns

ideas into working demos faster than any

tool I've tested. It's perfect for

validating concepts quickly without

getting bogged down in details. The key

difference versus competitors like

cursor or windsurf is depth of

understanding. Those tools are great for

code completion, but they don't truly

grasp your project structure. Coder goes

deeper understanding your architecture,

maintaining documentation, and executing

complex tasks autonomously. Folks, the

repo wiki alone saves hours every week.

documentation updates automatically with

code changes. So there's no disconnect

between what the docs say and what the

code actually does. Everything stays

synchronized because it's generated from

the same source.

All right, guys, let's wrap this up.

Coder is one of those rare tools that

changes how you approach development

work, not just makes it slightly faster.

For anyone building real software,

whether solo or in teams, this platform

delivers something genuinely different

from the usual AI coding assistance.

It's not just faster code generation or

better autocomplete features. It's

system level thinking that understands

your project deeply and delivers working

features instead of code snippets.

Friends, the combination of

conversational programming, automated

documentation, and autonomous task

execution creates a workflow that

actually feels like working with a smart

colleague. Have you struggled with

keeping documentation updated or

delegating complex tasks to AI? Share

your experiences in the comments below.

Feel free to check out the links in the

description below. You might find some

discounts there. As usual, don't forget

to like this video and subscribe to my

channel. Thanks for watching. Until next

time.