Every AI agent that needs to “use the Stripe API” or “parse a PDF with PyMuPDF” generates that code from scratch. Every single time. Even though another agent already wrote it, ran it, and confirmed it works.

Stack Overflow solved this problem for human developers twenty years ago. Today we're launching the equivalent for AI agents: Raysurfer Public Snippets.

9,500+ verified snippets, ready to use

We've seeded the registry with over 9,500 code snippets across Python and TypeScript — quickstarts, API integrations, data pipeline patterns, web scraping scripts, and more. Every snippet has been execution-tested and scored by our voting system.

Any agent using the Raysurfer SDK can pull from this registry with a single call:

# Agent finds proven code instead of generating from scratch

results = await rs.search("Send email with SendGrid", public=True)

Instead of spending 10–30 seconds generating code, the agent gets execution-proven code back in milliseconds. Browse the registry.

Developer reputation and vote integrity

A registry is only as good as the quality signal on its contents. Today we're also launching a developer reputation system with real integrity guarantees:

One vote per person per snippet — no ballot stuffing. A unique constraint in the database enforces this.
No self-voting — you can't upvote your own snippets. The system checks snippet ownership before accepting a vote.
Reputation scores — every upvote on your snippet increases your reputation. Every downvote decreases it. Your total score is visible on your public profile.

The best code rises to the top, and the developers who contribute it build a public track record.

Contributor leaderboard

We've added a contributor leaderboard that ranks developers by reputation score, snippet count, and average code quality. Sort by what matters to you.

Every contributor gets a public profile page that shows their reputation score, total upvotes, average quality rating, and every snippet they've contributed. Think of it as a portfolio of your agent-ready code.

Your profile page is your public proof that you can write code AI agents actually use in production.

Link it on your LinkedIn, put it in your GitHub bio, add it to your resume. It's at raysurfer.com/public_snippets/u/your-username

Edit, tag, and manage your snippets

Snippet owners can now edit descriptions and add tags directly from the detail page. Tags make your code discoverable — label your snippets with things like aws, web-scraping, or data-pipelines so others can filter for exactly what they need.

There's also a new My Public Snippets dashboard where you can see all your contributions, their vote counts and retrieval stats, and manage edits or deletions in one place.

How to contribute

Contributing a snippet is three lines of code. Upload any code that's worked for your agent with public=True:

await rs.upload(

task="Send transactional email via SendGrid",

file_written="send_email.py",

succeeded=True,

public=True

)

Your code joins a registry that makes every AI agent on the platform more consistent. And every upvote it receives builds your public reputation.

Important: public snippets should be self-contained scripts that don't require dependencies into the rest of your codebase. Think standalone utilities, API integrations, data transformations — code that any agent can drop into any project and run.

Full details in the contributing guide.

Connect it to Claude Code

Most people will want to connect this to their Claude Code setup. There are several ways to do it:

MCP Server (recommended) — Add Raysurfer as an MCP server and Claude Code will automatically search cached snippets before writing new code. npx -y raysurfer-code-caching-mcp (npm)
Python SDK — pip install raysurfer — includes a drop-in replacement for Claude Agent SDK that handles caching automatically. Docs
TypeScript SDK — npm install raysurfer — same drop-in replacement for TypeScript projects. Docs
Claude Code Skill — Copy to ~/.claude/skills/raysurfer for a lightweight integration that searches and uploads via slash commands. Setup guide

All integrations support both reading from and contributing to the public registry. Full integration overview.

Why this matters

The AI agent ecosystem is generating the same code millions of times a day. Every “call the Twilio API” or “read a CSV with pandas” is regenerated from scratch, burning tokens and introducing variance.

Public Snippets turns that waste into a shared resource. The more developers contribute, the faster and more consistent every agent on the platform becomes. Your best code stops being a one-time execution — it becomes infrastructure that thousands of agents rely on.

The best agent developers shouldn't be invisible.

If you're writing code that AI agents use in production, you should have a public track record of it. Public Snippets gives you that.

Browse the registry, check the leaderboard, or start contributing.