Launch
Vibe Code Pipeline
Visit
Example Image

Vibe Code Pipeline

Learn how AI agents work by watching them work.

Visit

Vibe Code Pipeline is an interactive encyclopedia for AI agents, prompts, and vibe coding pipelines. Watch how agents loop, learn the patterns behind them, and build your own with confidence. Explore the catalog of 1006 agents and 1032 prompt templates, all designed to help you understand and create AI agents effectively.

Example Image
Example Image

Features

AI coding, research, debugging, UI generation, content creation, automation, testing, documentation, data analysis, product ideation, customer support, workflow automation

Use Cases

Software development, SaaS development, AI automation, content creation, research, workflow automation, customer support, marketing, data analysis, prototyping, testing, product development

Comments

Watching an agent loop visually beats another explainer post - the loop is the part people consistently misunderstand. How do you render it: recorded traces replayed, or a live simulation? A section with real failure traces (stuck loops, tool-call retry storms) would be especially valuable, since those are the patterns people hit in production but rarely see documented anywhere.

custom-img
Motivational support for the projects of...

Most agent tutorials talk about the loop but never show it. Watching the actual cycle of plan → act → observe → retry makes the patterns click much faster than another text explainer. The catalog of agents and prompt templates is a strong starting point for anyone trying to move from “prompt engineering” to real multi-step workflows.

This is a very nice way to learn AI work process. Which I believe to be essential in order to know how to better prompt for AI to understand what you really want to build.

Really like the idea behind this. Vibe coding is great for getting started, but having a more structured workflow could make a big difference once things get more complex. Curious to see where you take it.

Great site. I've been having a great time using it.

Showing the loop is useful because most agent tutorials hide the handoffs and retries. A valuable next layer would compare a successful trace with a failed one and mark where human review enters. Do the pipeline examples include actual tool calls and recovery paths, or mainly conceptual animations?

Im very happy i came across this

The scale of the catalog is impressive, but a guided path could make it more useful for people who do not yet know what to search for. I would love filters by goal, autonomy level, tool access, and failure risk, followed by a small progression from a single-tool agent to a multi-step workflow. Exporting an example as a runnable starter would connect the visual explanation to practice.

Premium Products
Social Links

Comments

Watching an agent loop visually beats another explainer post - the loop is the part people consistently misunderstand. How do you render it: recorded traces replayed, or a live simulation? A section with real failure traces (stuck loops, tool-call retry storms) would be especially valuable, since those are the patterns people hit in production but rarely see documented anywhere.

custom-img
Motivational support for the projects of...

Most agent tutorials talk about the loop but never show it. Watching the actual cycle of plan → act → observe → retry makes the patterns click much faster than another text explainer. The catalog of agents and prompt templates is a strong starting point for anyone trying to move from “prompt engineering” to real multi-step workflows.

This is a very nice way to learn AI work process. Which I believe to be essential in order to know how to better prompt for AI to understand what you really want to build.

Really like the idea behind this. Vibe coding is great for getting started, but having a more structured workflow could make a big difference once things get more complex. Curious to see where you take it.

Great site. I've been having a great time using it.

Showing the loop is useful because most agent tutorials hide the handoffs and retries. A valuable next layer would compare a successful trace with a failed one and mark where human review enters. Do the pipeline examples include actual tool calls and recovery paths, or mainly conceptual animations?

Im very happy i came across this

The scale of the catalog is impressive, but a guided path could make it more useful for people who do not yet know what to search for. I would love filters by goal, autonomy level, tool access, and failure risk, followed by a small progression from a single-tool agent to a multi-step workflow. Exporting an example as a runnable starter would connect the visual explanation to practice.

Premium Products