AI CODEBASE PREP

Prepare your codebase before your AI agent starts coding.

Analyze your repository and generate structured context, architecture, and instructions for Codex, Claude Code, Cursor, Antigravity, and other coding agents.

Prepare a repository See how it works

No account required for public repositories.

AgentPrep workflow
Public repository flow
Repository

GITHUB REPOSITORY URL

https://github.com/owner/repository

Review its file tree and select relevant source files in the app.

Codebase analysis

Structure

Directories and entry points

Evidence

Findings with file references

Impact

Related systems and files

Generated context package
AGENTS.md
CONTEXT.md
CLAUDE.md
AI_TASK.md

Preview, copy, edit, or download the generated files.

Works with the coding tools you already use.

Codex
Claude Code
Cursor
Antigravity
Other agents

The problem

AI can write code. It still needs to understand yours.

Every unfamiliar codebase comes with architecture, dependencies, conventions, entry points, APIs, and hidden relationships. Before an agent can work effectively, someone has to explain all of that. AgentPrep creates that starting context from the repository itself.

How it works

From repository to agent-ready context.

Import a public GitHub repository
01

Add your repository

Paste a public GitHub repository URL and let AgentPrep inspect the codebase.

Review and select files from the repository
02

Review the codebase

Explore the repository structure and select the files that matter.

Generated codebase analysis overviewPreview of the generated context files
03

Prepare your agent

Generate structured context and instructions for your AI coding workflow.

What AgentPrep generates

Everything your agent needs to understand the repo.

Turn repository structure and source code into focused, reusable context for your AI coding workflow.

AGENTS.md

Repository instructions, existing patterns, and guidance for coding agents.

CONTEXT.md

Project overview, architecture, evidence, relationships, and change impact.

CLAUDE.md

Project context and repository-specific guidance for Claude Code.

AI_TASK.md

A reusable task brief with relevant context and constraints.

Why AgentPrep

Give your agent the map before it starts coding.

01

Architecture

Understand how the major parts of the codebase fit together.

02

Dependencies

Surface technologies, packages, frameworks, and important relationships.

03

Project conventions

Capture existing patterns and instructions before making changes.

04

Codebase relationships

Connect files, modules, APIs, data flows, and structure with evidence.

Before and after

Stop making your AI rediscover your codebase.

Without AgentPrep

  • ?Where is the database?
  • ?Where does authentication happen?
  • ?What’s the main entry point?
  • ?Which API handles this?
  • ?Where are the important services?
  • ?What conventions does this project follow?

With AgentPrep

AGENTS.md
CONTEXT.md
CLAUDE.md
AI_TASK.md

Repository context, ready before the first task.

Context helps your agent orient itself; it does not guarantee error-free changes.

Agent workflow

Use it with the tools you already use.

AgentPrep doesn’t replace your coding agent. It prepares the context your agent needs before you start.

Repository
AgentPrep
Context
CodexClaude CodeCursorAntigravityOther agents

Your code is yours

Your code stays yours.

AgentPrep processes selected repository files for the analysis you request. Files are fetched server-side and sent to Vercel AI Gateway; the app does not persist repository files. Analytics is currently a no-op, so repository content is not sent to analytics.

  • No account required for public repositories.
  • No advertising trackers are configured.
  • Repository content is not sent to analytics.

A better starting point

Give your AI agent
a head start.

Turn your repository into structured, agent-ready context before your next coding task.

Prepare your next repository Start with a public GitHub repository.