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Inject SWE Rules & Heuristics.
Active Engineering Guardrails.

DevLaws injects software engineering rules directly into AI agents and workflows. Ensure your codebase is production-ready at all times and meets all SWE criteria and performance metrics.

DevLaws on Product Hunt DevLaws on Nick Launches
0+ Rules Enforced
4+ AI Agents Supported
MCP Native Protocol

What No Other Tool Does

This Isn't Another Linter.

DevLaws is the only platform that injects software engineering rules and heuristics directly into your AI agents and active workflows to guarantee your codebase is production-ready at all times, meeting all SWE criteria and performance standards.

01

Live MCP Protocol Injection

DevLaws doesn't just sit in a file. It runs as a native Model Context Protocol server that injects your standards directly into AI agent execution sessions. Cursor, Claude Code, Gemini CLI — they all read your rules in real-time, before writing a single line.

No other governance tool does this.
02

One Protocol, Every Engineer

Create a Team Protocol once. Every developer's AI agent — whether they use Cursor, Copilot, or Claude — automatically follows the same architectural standards. New hires are compliant from day one. No tribal knowledge required.

Shared law folders, role-based access, invite links.
03

Shareable Law Folders

Organize laws into themed folders — Security Protocols, API Design Standards, Performance Rules. Share them across teams, import community packs, or build your own and distribute them to every engineer in your org.

Community-driven, always evolving.
04

Dedicated Team API Keys

Each team gets its own API key for MCP server authentication. Revoke, rotate, or regenerate without affecting other teams. Fine-grained access control at the infrastructure level.

Enterprise-grade security, team-scoped.
05

Works Across Every AI Agent — Simultaneously

Cursor, GitHub Copilot, Claude Code, Gemini CLI, OpenAI Codex — DevLaws enforces standards across all of them at the same time. One dashboard. One protocol. Every agent governed. Skills files can't do this.

Cursor Claude Code GitHub Copilot Gemini CLI OpenAI Codex Windsurf
06

Built-In Feedback Board

Users submit feature requests, report bugs, and suggest improvements — then the community upvotes them. Your engineering roadmap is shaped by the people who actually use the tool.

Community-driven product development.
07

Intelligence Engine

Ask any engineering question — "Why shouldn't we use singletons here?" — and get an instant answer backed by real software engineering laws. Settle architecture debates in seconds, not hour-long meetings.

Principle-backed answers your team trusts.
08

Always Dynamic. Never Static.

Unlike .cursorrules or skills.md files that rot in your repo, DevLaws is a living system. Laws are updated bi-weekly. Your team protocol syncs instantly. When you toggle a law on or off, every connected AI agent picks it up in real-time. Zero manual file management.

Live Sync Bi-Weekly Updates Zero Config Files Real-Time Toggle

What We Catch

What DevLaws Actually Detects

Not generic linting. DevLaws understands architecture, design decisions, and engineering trade-offs at the level your senior engineers think about them.

Architectural Anti-Patterns

Catches god classes, circular dependencies, tight coupling, and monolith patterns before they become technical debt.

⚠ Conway's Law violation: service boundary mismatch detected

Logic & Scalability Flaws

Identifies N+1 queries, missing error boundaries, uncapped loops, and performance bottlenecks hiding in AI-generated code.

⚠ Brooks's Law risk: complexity scaling nonlinearly with team size

Security & Insecure Flows

Flags hardcoded secrets, unvalidated inputs, missing auth checks, insecure API flows, and exposed endpoints.

⚠ Murphy's Law: unhandled auth failure path in payment flow

AI-Generated Code Issues

Catches hallucinated implementations, deprecated API usage, over-abstraction, and boilerplate bloat from LLM outputs.

⚠ Goodhart's Law: metric-driven code optimizing the wrong outcome

Team & Process Drift

Detects when code deviates from your team's agreed conventions, naming patterns, module structure, and onboarding docs.

⚠ Hyrum's Law: implicit API contract being relied upon downstream

Maintainability Risks

Surfaces single points of failure, missing documentation, untestable code paths, and technical debt accumulation patterns.

⚠ Lehman's Law: system complexity increasing without active reduction

Plugs Into Your Stack

Works Where Your Team Already Builds

DevLaws connects directly to the AI tools your team already uses. Whether your engineers write code with Cursor, GitHub Copilot, or agents powered by Claude, Codex, or Gemini, DevLaws injects your team's standards into every coding session. No workflow changes. No context switching.

Anthropic Claude
Anthropic Claude
DevLaws Logo
DevLaws Hub
OpenAI Codex
OpenAI Codex
Google Gemini
Google Gemini

The Engineering Governance Stack

Analysis, enforcement, and intelligence built for teams shipping AI-assisted code at scale.

Agent Enforcement: Live

Save your engineering standards as your Active Protocol. DevLaws instantly injects them into Cursor, Claude, Copilot, and Gemini, so every AI suggestion your team gets already follows your rules, before any code is written.

MCP Integration: Native

DevLaws runs as a native MCP server inside your AI agents. Real-time codebase analysis, architectural insights, and standard enforcement directly in your IDE workflow.

110+ Active Rules, Updated Bi-Weekly

We translate industry rules like Murphy's, Conway's, and Brooks's into active agent guardrails. Heuristics are updated bi-weekly, expanding codebase protection automatically.

Team Protocols

Share one Protocol across your entire org. Every engineer's AI agent follows the same rules, new hires included. No tribal knowledge, no onboarding chaos.

The Mainframe

Central control plane for engineering governance at scale. Orchestrate enforcement across every agent, repo, and cloud environment from one dashboard.

Simple & Transparent

Choose the Right Plan for You

Whether you are an individual developer styling your personal IDE assistant, or an enterprise engineering org enforcing collective laws, we scale with you.

Developer

Individual Developers

Inject active guardrails, manage personal protocols, and enforce code quality rules locally.

  • Global Engineering Heuristics (Standard injection)
  • Personal Protocols (Up to 15 laws)
  • Protocol Folders (1 active folder)
  • Basic IDE Integration (VS Code / Cursor)
  • 50 AI Credits/month
  • Standard Bookmarking of laws
Start Free

Pro

Senior Engineers & Power Users

Advanced AI capabilities, fine-tuning, and unlimited personal knowledge management.

  • Everything in Developer, plus:
  • Expanded Protocols (50 active laws)
  • Protocol Folders (Up to 2 active folders)
  • AI Autopilot recommendations
  • Collaborative Workspaces (1 team / up to 5 members)
  • 200 AI Credits/month + fine-tuning
  • Private Custom Laws (Up to 4 laws)
Go Pro

Team

Startups & Scale-ups

Synchronize coding standards, automate code reviews, and govern AI usage across your entire engineering team.

  • Everything in Pro, plus:
  • Collaborative Workspaces (45 teams / 200 members)
  • Synchronized Team Protocols
  • Protocol & Connected Folders (Up to 50 folders)
  • Pooled AI Credits (1,000/month per team)
  • Team API Keys for CI/CD & integrations
  • Active PR Bots for automated code reviews
Start Free Team Trial

Enterprise

Large Organizations

Maximum security, scale, compliance, custom model fine-tuning, and dedicated tenant deployments.

  • Everything in Team, plus:
  • Advanced Security & Compliance (SSO, SAML, SOC2)
  • Unlimited scale (members, credits, laws, folders)
  • Comprehensive Audit & Email logs
  • Private model fine-tuning on internal codebases
  • VPC peering, dedicated tenant, or on-premise
  • Dedicated support (24/7 priority support + TAM)
Contact Enterprise

The Roadmap

Shipping fast. Shipping real.

We're building in public with a clear trajectory. Each phase delivers real, usable infrastructure, not just promises.

Phase 01

The Guardrail Rules Index

110+ active software engineering guardrails (Murphy's, Conway's, Brooks's, and more), configured for real-time agent injection.

Phase 02

Intelligence Engine

Ask any engineering question. Get instant, principle-backed answers your whole team can trust.

Phase 03

Active Protocol

Select which principles your team enforces. Build a living standard that evolves with your codebase.

Phase 04

Connect Hub

Inject your team's standards into Cursor, Copilot, Claude, and Gemini. Every AI session follows your rules.

Phase 05

GitHub Integration

Direct repository analysis and automated governance integrated into your GitHub workflow. Standards enforced at the source.

Phase 06

Cloud Mainframe

Enterprise-grade engineering governance across your entire cloud infrastructure.

Phase 07

Enterprise Protocols

Fine-grained permission controls, SSO integration, audit logs, custom integrations, and dedicated VPC infrastructure deployments.

Define once. Enforce everywhere.

Set your engineering standards in DevLaws. Your AI agents follow them in every session. Your codebase stays clean, consistent, and compliant without manual review overhead.

Active SWE Guardrails & Custom Rules

DevLaws compiles a growing engine of classic, time-tested software engineering guardrails (Conway's, Brooks's, Murphy's). Inject them with your own specific custom guidelines to create the ultimate operational blueprint for your development environment.

01

Murphy's Law

"Anything that can go wrong, will go wrong."

DevLaws flags single points of failure before they reach production. Redundancy checks and error handling gaps are surfaced automatically during analysis.

Reliability Automation
02

Conway's Law

"Organizations design systems that mirror their communication structure."

Get flagged when your service boundaries don't match your team structure. Prevent the architecture drift that slows teams down.

Architecture Systems
03

Brooks's Law

"Adding manpower to a late software project makes it later."

Onboard new engineers without slowing down. DevLaws gives every new hire your team's architecture playbook on day one.

Management Scaling

The Difference

DevLaws vs Agent Skills Files

Skills files teach AI how to code. DevLaws ensures the code meets your team's standards.

"Skills.md teaches the AI how to swing the hammer. DevLaws tells everyone (and the AI) what the house should look like and checks that it’s being built correctly."

Got Questions?

Frequently Asked Questions

Everything you need to know about DevLaws, our native Model Context Protocol integration, and real-time governance.

What is DevLaws and how does it work?

DevLaws is an AI engineering governance platform. It converts design standards, architectural guidelines, and codebase conventions into active protocols. These rules are injected directly into AI agents (like Cursor, Claude Code, and Copilot) via the Model Context Protocol (MCP) in real-time, ensuring code is compliant before it is written.

How is this different from a standard linter?

Linters catch syntax errors and simple formatting rules after the code has been written. DevLaws works proactively by injecting architectural context and governance principles directly into the AI agent's prompt context during the generation phase. It understands design trade-offs, anti-patterns, and architectural structures rather than just syntax.

Does DevLaws support team collaboration?

Yes. With the Team and Enterprise plans, you can build shared protocols, organize them into folders, manage teammate access permissions, and sync those rules across every engineer's machine instantly. Any changes made in the DevLaws dashboard sync down to connected agents in real-time.

What AI agents and IDEs are supported?

DevLaws supports all editors and CLI agents that support the Model Context Protocol (MCP) or custom context files. This includes Cursor, Claude Code, GitHub Copilot, Windsurf, and custom CLI wrappers using Google Gemini or OpenAI Codex.

How often are the guardrails and rules updated?

Our database of classic software engineering rules (such as Conway's Law, Murphy's Law, Wirth's Law) is expanded bi-weekly. You can also write your own custom rules to inject into your workflows instantly.