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You have completed Turn Ideas Into Code with Replit Agent!
You have completed Turn Ideas Into Code with Replit Agent!
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In this video, Dan walks through what the Replit Agent is, how it works, and why it might be a useful tool—especially if you’ve got ideas but don’t know how to code. Whether you’re just getting started or you’re a developer looking to speed things up, this gives you a real look at what the agent can do and how it fits into the bigger picture of building software with AI.
This is part of the AI for Everyone: Build Power Apps Without Coding track. Check out the track to see the rest of our No-Code content. Stay tuned—new content is continually being added, so be sure to check back regularly for updates!
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Hey, everyone.
0:10
Dan here.
0:11
And today I want to talk about a feature
0:12
within the Replit
ecosystem called the Replit agent.
0:13
Some of you might know Replit
as an online platform
0:17
where you can write, run, and host code
directly in your browser.
0:20
It's great for quickly starting projects
without complex local setups.
0:23
But what if you have an ideal
for an application,
0:27
maybe a website or a tool,
and the coding part feels daunting?
0:29
Or you're an experienced developer just
looking to speed up parts of the process.
0:33
That's where the Replit agent comes in.
0:38
It's an AI powered tool integrated
0:41
into Replit designed
to assist with software development.
0:43
Though think of it less as a magic wand
and more as an AI coding partner,
0:46
one that can help automate various stages
of building your application.
0:51
Let's take a look at its key capabilities.
0:55
Project scaffolding and development.
0:57
You describe your ideal and the agent
1:00
can help generate the initial code
for structure and basic setup.
1:02
You can also get real time
1:05
assistance as the agent builds
or as you modify the project.
1:07
The agent can assist with writing code
snippets or attempting to fix errors
1:11
automatically, as well
as managing the underlying environment.
1:15
It works seamlessly with the built
in tools like the integrated data bases
1:18
for storing data,
1:22
and the secret management for handling
sensitive information like API keys.
1:23
It's useful to know that there's
both an agent and an assistant.
1:27
The agent is designed for larger,
multi-step tasks,
1:31
like building a whole feature
or application based on your description,
1:34
whereas the assistant is
better suited for smaller tasks
1:38
like explaining code,
making specific edits,
1:41
or answering questions
about your current project files.
1:45
So what does the process
normally look like?
1:47
Step one describe your goal.
1:50
You start by typing out
what you want to build
1:52
or modify in natural language
within the agent interface.
1:54
Step two review the proposed plan.
2:00
The agent will analyze your request
2:03
and suggest a plan or a series of steps
it intends to take.
2:06
You have a chance to review
and adjust this though.
2:09
Step three automated building.
2:12
The agent will execute the plan.
2:15
This means write code,
create files, install packages,
2:17
and configure your settings.
2:21
Step four Iterate and Refine.
2:23
Once the initial build is finished,
you can review it
2:26
and you can
then ask the agent to make changes.
2:30
Add features, refactor parts of the code,
2:32
or even help debug issues
that you may encounter.
2:36
Lastly, step five deploy.
2:40
When you're ready,
you can use regular deployment
2:43
features to make your application
accessible on the web.
2:46
But what kind of
projects can you help with?
2:49
Well, the agent is very versatile.
2:52
You can use it to help
build a basic website
2:55
for a personal project or a business idea.
2:57
A simple web application
like a habit tracker or a note taking app,
3:00
and even an educational tool.
3:05
Maybe something interactive for learning
3:07
as well as backend APIs or simple data
processing scripts.
3:10
It's really helpful for getting
an initial versions or prototypes up
3:14
and running quickly
to give you a more personal example.
3:17
I actually use the agent quite often
to help build
3:20
my monthly projects
for the Treehouse community.
3:22
We get a new project
prompt each month in the community,
3:26
and using the Replit agent helps me build
my projects faster.
3:28
I've used it to help build out
the foundation for a movie recommendation
3:32
at, as well as a meal recommendation app
and even a stock image gallery.
3:35
It's really nice for tackling these kind
of defined, contained web applications.
3:40
So I know what you're thinking.
3:44
How do we
3:46
access the Replit agent
and how much does it cost?
3:46
The Replit agent is available as a part
of a paid Replit subscription plan,
3:50
such as the Core or team plans, though
the names and pricing can change.
3:54
Its usage is often metered
using a credit system, sometimes referred
3:59
to as checkpoints, which represent
units of work performed by the AI.
4:03
Each checkpoint currently costs $0.25
because pricing models can evolve.
4:07
It's best
4:13
to check the official Replit pricing page
for the latest details or cause.
4:13
So are you interested
in trying out the Replit agent?
4:18
If you have an idea
you'd like to prototype,
4:21
or if you're curious about how it can
assist you in the coding process,
4:23
then the Replit agent
is a feature worth exploring.
4:27
It's a tool that aims to lower the barrier
of entry to building software ideals.
4:30
Head over to Replit to learn more
and to see if this tool fits your needs
4:34
and fits your workflow.
4:37
Happy building!
4:40
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