How does Code X-Ray help with software quality?

Code X-Ray analyzes code diffs for risk, highlights regressions, and can generate a fix branch to accelerate safe shipping.

Is ProdMoh for solo builders or engineering teams?

ProdMoh supports both solo founders and teams that need repeatable quality standards and governance guardrails.

ProdMoh in the loop

Agents Build Fast.
ProdMoh Keeps Control.

Q: What does ProdMoh generate before coding starts?

ProdMoh generates PRDs, user stories, coding prompts, and test cases so your AI coding agent has structured context before implementation.

ProdMoh turns one request into PRD, user stories, coding prompts, tests, and Code X-Ray review. Ship faster while enforcing engineering standards across every AI-generated change.
Automation end-to-end. Human approval at critical gates.

hub Start Workflow policy Run X-Ray

description PRD + Stories Before Code verified_user Policy-Aware Prompts + Tests call_merge Risk Report + Fix Branch verified Human Approval at Merge Gates

ProdMoh product workflow and code review interface

Sound familiar?

code_off "I told Cursor to build it. It's a mess."

psychology_alt "I skipped the specs. Now I'm refactoring."

bug_report "AI wrote 2,000 lines. Half is wrong."

speed "Prototype in 2 hours. Fixing it for 2 months."

forum

Feedback Analyze customer signals

east

description

PRD 13-section document

east

list_alt

User Stories Epics, BDD, acceptance

east

code

Coding Prompt Security + compliance

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verified

Tests TDD-ready test suite

east

policy

Code X-Ray Risk Review + Fix Branch

One prompt generates specs, tests, and review-ready fixes with approval gates.

The Hidden Cost

Every AI Builder Hits This Wall

2hrs

To Prototype

AI writes code instantly. but without specs, you spend weeks debugging hallucinations, auth errors, and missing logic.

70%

Rework Rate

Code written without product context gets rewritten. AI is fast, but fast in the wrong direction is expensive.

Specs Written

Most AI builders skip PRDs, user stories, and tests entirely. Then wonder why the codebase is unmaintainable.

The dirty secret of vibe coding: AI is fast, but fast without direction is chaos.
The missing piece isn't better AI. It's better product thinking.

The Real Problem

AI Isn't the Problem. Missing Context Is.

You told your AI to "build a dashboard." It wrote 2,000 lines. But it missed half the user flows, skipped error handling, and ignored compliance.

fast_forward You jump straight to code because AI makes it easy. But speed without direction creates tech debt.

layers_clear No user stories means missing edge cases. No PRD means no shared vision. No tests means silent regressions.

replay You prototype in hours, then spend months refactoring. The "vibe" fades fast when bugs multiply.

gpp_bad AI-generated code passes no code review. Hidden risks, security gaps, and regressions ship silently.

AI doesn't need better prompts. It needs product context.
Plan first. Build fast. Review before merge.

That's the ProdMoh workflow.

What You've Tried

Why Nothing Has Worked

✗

"I just prompt Cursor directly"

Cursor is brilliant at specific tasks. But it has no "product memory." Without a PRD, it builds features that conflict with each other.

✗

"I use ChatGPT for specs"

Generic output that doesn't connect to your codebase. No compliance guardrails. Nothing saved. You copy-paste and lose context.

✗

"I'll figure it out as I go"

That's how you build a prototype in 2 hours and spend 2 months refactoring. AI is fast in the wrong direction too.

✗

"I'm solo. I don't need specs."

Especially if you're solo. You're the PM, the dev, and the QA. Specs keep you focused and your AI coder on track.

The problem isn’t your AI. It’s that nobody told it what to build properly.

The Solution

Think First. Build Second. Ship Faster.

ProdMoh is the control layer in your IDE: structured context for AI agents, then Code X-Ray review before merge.

What ProdMoh Generates for You

description PRD + User Stories

60s

Full spec from one prompt

13-section PRD, epics, BDD acceptance criteria, and KPIs.

code Dev-Ready Prompts

check_circle Full requirement context

check_circle Security guardrails

check_circle HIPAA/GDPR compliance

check_circle AI safety protocols

policy Code X-Ray + PR Fixes

Don't just get a report. Get a review-ready fix path. Code X-Ray scans risk and prepares a fix branch for approval.

auto_fix_high AI speed with merge-gate control.

smart_toy

Build Feature Agent

One command chains feedback analysis, PRD, user stories, coding prompts, and tests.

100 credits. Full pipeline.

forum

Customer Pulse

Use our forms to collect support tickets. We automatically translate them into product ideas and opportunities.

From support ticket to PRD & code.

slideshow

AI Deck Builder

Turn any document into a presentation. Investor pitch or product discovery deck in minutes.

Upload a doc, get a themed deck.

✗

Before ProdMoh

• "I told Cursor to build it. Now I'm refactoring everything."
• "No specs. No user stories. Just vibes and regret."
• "My AI wrote 2,000 lines but missed half the edge cases."
• "Prototype in 2 hours. Fixing it for 2 months."
• "Nobody reviewed the AI-generated code. Now it's in production."

✓

After ProdMoh

✓ PRD + user stories generated before first line of code
✓ AI agent gets structured context, not vague prompts
✓ Compliance + security guardrails baked into every prompt
✓ Test cases generated alongside the code spec
✓ Code X-Ray scans what AI built and prepares fix branches for approval

Agents build fast. ProdMoh stays in the loop.
The control layer between agent output and production merge.

One platform. From idea to reviewed, shipped code.

PRD in 60s

Full spec from one prompt

User Stories

BDD criteria + test cases

Coding Prompt

Security + compliance built in

Code X-Ray

Risk report + approval-ready fix branch

For Engineering Teams

Governance + Compliance Configs

After ProdMoh generates your specs, enforce compliance guardrails on the code. Select a preset, generate configs, and export to any IDE.

HIPAA Ready

local_hospital

Healthcare

check_circle HIPAA + OWASP Security
check_circle Audit Trail Logging
check_circle PHI Encryption Rules
check_circle E2E Testing Strategy

SOC2 + PCI

account_balance

Fintech

check_circle SOC2 + OWASP Controls
check_circle Structured JSON Logging
check_circle Clean Architecture
check_circle PR Review Enforcement

OWASP

code

General SaaS

check_circle OWASP Top 10 Protection
check_circle Structured Logging
check_circle MVC Architecture
check_circle Integration Testing

Export to your IDE or push directly to GitHub:

code .cursorrules waves .windsurfrules smart_toy copilot-instructions.md shield .moh Universal

NEW

Push Directly to GitHub

Connect your GitHub account and commit governance configs directly to any repo. One click. No copy-paste. Your whole team gets the same rules instantly.

check_circle OAuth Authentication check_circle Private Repos check_circle Branch Control

settings_suggest View Guardrails

Idea to Shipped Product.
One Guided Conversation.

Add ProdMoh to your IDE. Describe what you want to build. Get the specs, build with AI, and scan the code.

link

1. Add ProdMoh

Add ProdMoh to Cursor, Windsurf, or Claude Desktop. Two minutes, one-time setup.

Cursor Windsurf Claude

ProdMoh Works Here

smart_toy

2. Think Before You Build

Describe what you want. ProdMoh generates PRD, user stories, coding prompts, and tests before your AI writes a single line.

description PRD + User Stories

code Coding Prompt + Tests

rocket_launch

3. Build + Review

Hand the prompt to your AI agent, then run Code X-Ray to catch risks and prepare a fix branch.

policy Risk Report

call_merge Approval-Ready Fix Branch

Workflow, quality, and governance in one loop.

Start Free arrow_forward

Agent Readiness

Built for AI Builders

AI agents need context and controls to succeed.
ProdMoh keeps policy checks and human approval in the loop.

description

PRD Generation

13 sections, auto-generated

list_alt

User Stories

Epics + BDD acceptance criteria

code

Coding Prompts

Compliance + safety guardrails

forum

Customer Pulse

Feedback to insights to specs

policy

Code X-Ray

Risk report + approval-ready fix branch

The control layer your agents have been missing.

Run X-Ray arrow_forward

See It In Action

One Prompt. Full Spec. Zero Tab-Switching.

Open Cursor, describe what you want, and ProdMoh generates the full build package.
Saved to your dashboard and ready to execute.

Cursor IDE

You

I'm building a SaaS dashboard with React + Node. I need in-app notifications for billing changes, feature releases, and team invites. Build it properly.

ProdMoh

1 PRD created — 13 sections, 3 personas, 10 features prioritized

2 User Stories generated — 4 epics, 12 stories with BDD criteria

3 Coding Prompt ready — HIPAA/GDPR-compliant, with safety guardrails

4 Test cases generated — Jest suite covering happy paths + edge cases

All saved to your dashboard. Now hand the coding prompt to Cursor and build.

Cursor air Windsurf smart_toy Claude Desktop extension Any MCP Client

Give AI agents structured specs, not vague prompts. Ship products, not prototypes.

Start Free arrow_forward

FAQ

Questions AI Builders Ask

What does ProdMoh generate before coding starts?

PRDs, user stories, coding prompts, and test cases so your AI coding agent has structured context before implementation.

Which AI coding environments does ProdMoh support?

ProdMoh works with MCP-compatible clients including Cursor, Windsurf, and Claude Desktop.

How does Code X-Ray improve software quality?

Code X-Ray reviews diffs for risk, flags regressions, and can generate a fix branch so teams can ship safer changes faster.

Is ProdMoh for founders or teams?

Both. Solo builders use it for structure and speed, and teams use it for repeatable quality standards and governance guardrails.