Code Standards Infrastructure

Govern AI-generated code
before it ships.

Your AI coding agents produce thousands of lines daily. proto[docs] ensures every line meets your standards, automatically.

Claude Code GitHub Copilot Cursor Gemini
Works with all MCP-compatible agents
1 standard AuthenticationPattern
2 enforce: JWT tokens only
3 require: correlation IDs
4 forbid: hardcoded secrets
5 example: AuthService.cs:42
Enforced across 4 agents

The cost of inconsistency compounds daily.

Every developer on your team uses AI assistants differently. Each agent interprets guidelines its own way. The result? A codebase that drifts further from your standards with every commit.

67% of enterprises report inconsistent AI-generated code as a top concern
40% of code review time spent on style and standards violations

How It Works

One source of truth for every agent.

claude code
$ generate authentication module
Checking proto[docs] for applicable standards...
+ Found 3 standards for this context
- JWT Authentication Pattern
- Error Handling: Custom Exceptions
- Logging: Correlation IDs Required
Generating compliant code...
+ AuthService.cs created - all standards met

Capabilities

Built for teams that ship.

Real-time Synchronization

Update a standard once, every connected agent receives it instantly. No sync delays. No stale documentation. No version conflicts.

Context-Aware Filtering

Only relevant standards, only when needed. Intelligent filtering reduces context usage by up to 80%, maximizing your agents' effectiveness.

Real Code Examples

Standards reference actual code from your codebase, not abstract guidelines. Agents see exactly how patterns should be implemented.

Enterprise Security

All data encrypted at rest and in transit. Your standards and code examples are never used for training. Your data stays yours.

Your Standards, Your Rules

Developers define the standards. AI follows them.

You know your codebase. You know what good looks like for your team. Define your standards in natural language, and every AI agent respects them.

  • Define standards through conversation with any connected agent
  • Update rules instantly across your entire team
  • Reference real code as examples of correct implementation
> Create a standard requiring async/await patterns for all database operations
> New rule: all API responses must include request correlation IDs
> Forbid tuple return types in public methods

Getting Started

Production-ready in under a minute.

No SDK. No installation. Just configuration.

01

Create your account

Sign up and generate an API key for your organization.

Get Your API Key
02

Configure your agents

Add a single MCP configuration line to connect any agent. Works with Claude Code, GitHub Copilot, Cursor, Gemini, and any MCP-compatible tool.

03

Define your standards

Create standards through natural conversation with any connected agent.

04

Ship with confidence

Every agent-generated line now follows your team's standards.

FAQ

Common questions.

Any AI agent implementing the Model Context Protocol (MCP) works with proto[docs]. This includes Claude Code, GitHub Copilot, Cursor, Gemini, and more.

All data is encrypted at rest and in transit. Your standards and code examples are never used for AI training. Your organization's data remains completely private.

Yes. Ask any connected agent to review your existing standards documentation and use the "add code standard" tool. It will translate them into the proto[docs] format.

proto[docs] provides real-time sync across all agents and intelligent context filtering that reduces token usage by up to 80%. Static files require manual distribution and consume full context regardless of relevance.

No. proto[docs] is a hosted service. Add a single configuration line to your agent's MCP settings and you're connected. Setup takes under a minute.

Ready to govern your AI-generated code?

Start enforcing standards across every agent today.

Get Started Free