Find Code Risks and Ship the Fix— with 1‑Click PRs.
Select a repo and compare any branch, tag, or commit. Get a plain‑English report, then upgrade to
auto‑create a fix branch + PR.
No signup required.
lock
No signup required
visibility
Code stays private
schedule
Results in 60 seconds
Sound familiar?
warning
"We merge AI code nobody reads"
psychology_alt
"AI slop is multiplying fast"
savings
"Legacy code is burning cash"
gavel
"Compliance risks keep me up"
settings
Configure Standards
The Hidden Cost
Every Sprint, Your Team Loses:
20+
Hours per Sprint
Rework caused by risky diffs and unreviewed AI‑generated changes.
$33K
Monthly Waste
Engineering spend lost to regressions, firefights, and late fixes.
3
Months to Burnout
When reviews become cleanup instead of progress.
Meanwhile, leadership still asks: "What did you ship this
quarter?"
The Real Problem
The Problem isn't AI.
It's Unreviewed Risk.
AI writes code that compiles, but hidden regressions and edge cases sneak into every PR.
casino
Small diffs hide big risks when nobody has time to review deeply.
casino
PRs pass fast, then break in production.
casino
Branch comparisons are manual and inconsistent.
casino
Fixes pile up because no one is generating PR‑ready patches.
AI won't scale without safer diffs. It scales when fixes are PR‑ready. That's what Code X‑Ray delivers.
What You've Tried
Why Nothing Has Worked
✗
"We'll just review PRs harder"
Time‑boxed reviews miss edge cases. Risks slip anyway.
✗
"We'll add another static scan"
Too many false positives. Engineers ignore it.
✗
"We'll fix it later"
The backlog grows and the cost of change spikes.
✗
"We'll keep it manual"
Manual reviews don't scale with AI‑generated diffs.
The problem isn’t your team. It’s lack of fast, PR‑ready
fixes.
The Solution
Code X‑Ray: Report → Fix Plan → PR
Compare branches, uncover risk, and upgrade to 1‑click PR fixes that create the branch and open the
PR for you.
What Code X‑Ray Delivers
fact_check
Risk Report
60s
Plain‑English Summary
Risks, hidden logic, and cost hotspots by diff.
tune
Fix Plan
🧭 WHAT
📍 WHERE
🛠️ HOW
⚠️ RISK
🧩 PATCH TYPE
call_merge
1‑Click PR Fix
We create the branch, push the patch, and open the PR. You review and merge.
difference
Diff‑Aware Risk Analysis
Compare any branch, tag, or commit and surface the highest‑risk changes.See issues before they hit production.
call_merge
1‑Click PR Fixes
Upgrade to auto‑create the fix branch and PR with a structured plan.Review and merge in minutes.
security
Governance (Advanced)
Export guardrails for Cursor/Windsurf and enforce org‑wide standards.Lock in safe defaults for every agent.
✗
Before ProdMoh
•
"We don’t know what changed between branches"
•
"Risky diffs slip through reviews"
•
"Fixes are manual and inconsistent"
•
"PRs take forever to stabilize"
•
"We learn about regressions too late"
✓
After ProdMoh
✓
Branch comparisons surfaced in seconds
✓
Plain‑English risk report with fix plan
✓
1‑click PR fixes for high‑impact issues
✓
PRs created fast, reviews stay focused
✓
Governance configs available when you scale
Code X‑Ray now, governance later Start with PR‑ready fixes, add guardrails as you scale.
One flow for risk detection today, governance configs when you’re ready.
Risk in 60s
Plain‑English report by diff
Fix Plan
WHAT → WHERE → HOW
1‑Click PR
Branch + PR created for you
Review‑Ready
Faster approvals, fewer regressions
Advanced Governance
Industry‑Grade Governance Presets
When you’re ready, add compliance guardrails across your org. 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
check_circle
SOC2 + OWASP Controls
check_circle
Structured JSON Logging
check_circle
Clean Architecture
check_circle
PR Review Enforcement
OWASP
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
Authenticationcheck_circle Private
Reposcheck_circle Branch
Control
From Repo Diff to Fix PR. In Minutes.
Compare branches, get a risk report, then upgrade to 1‑click PR fixes.
link
1. Connect Repo
Select a repo and compare any branch, tag, or commit range.
rocket_launch
3. Create Fix PR
Upgrade to auto‑create a fix branch and open the PR. You review and merge.
Risk report in minutes. Fix PR when you’re ready.
Run Code X‑Ray arrow_forward
Agent Readiness
Is Your Codebase Agent-Ready?
AI agents need context to succeed. Most codebases don't provide it.That's why your AI is fast—but reckless.
description
Context
PRD & Tech Specs agents can understand
shield
Rules
Governance configs agents must follow
link
Delivery
MCP feeds context into your IDE
Team Sync
GitHub Push keeps everyone aligned
COMING
SOON
verified
Verification
CI/CD catches drift before merge
Companies that invest in agent readiness see 5-10x the
return of those who don't.
Make Your Codebase Agent-Ready
arrow_forward
How It Works
From PRD to Production. One Flow.
PRD → Tech Spec → Governance Config → Push to GitHub. Every step standardized.
description
STEP 1
PRD Generator
Turn ideas into structured Product Briefs with user stories,
acceptance criteria, and edge cases.
architecture
STEP 2
Tech Spec
1-click database schemas, API contracts, and system diagrams from
your PRD.
shield
STEP 3
Governance Config
Generate .cursorrules, .windsurfrules with HIPAA/SOC2/OWASP
compliance baked in.
NEW
STEP 4
Push to GitHub
One click. Config lands in your repo. Whole team syncs instantly.
PRD
arrow_forward
Tech Spec
arrow_forward
.cursorrules
arrow_forward
GitHub
code
AI Coding Prompts
Production-Grade Code. Straight from Spec.
Context-rich prompts with security, compliance, and architecture baked in. Cut rework by 80%.
🛡️ HIPAA/GDPR defaults
🐞 Debuggable by design
🏗️ Architecture patterns
Optimized for
Cursor
Windsurf
Claude
GitHub
Copilot
code
Learn More About AI Prompts
arrow_forward
More
Power Features
Everything You Need to Ship with Confidence
link
MCP Integration
Feed context directly into Cursor, VS Code, or any MCP-compatible
IDE. Your AI sees the real requirements.
Learn more arrow_forward
chat
Talk to Your PRD
Agentic AI chat. Ask questions, refine requirements, get
stakeholder-ready summaries. Your PRD talks back.
Chrome Extension
Capture ideas from anywhere. Turn Slack messages, emails, or any
webpage into structured PRDs.
Get it free arrow_forward
history
Version History
Full audit trail. See what changed, when, and why. Enterprise-grade
traceability for compliance.
Stop the Prompt Roulette.Start
shipping with one standard.
10 developers. 1 governance config. Zero chaos.
No credit card · Generate your
first governance config free
Product managers often struggle with messy feedback, unclear requirements, and roadmap guessing.
Engineering managers want fewer ambiguous tickets and better acceptance criteria.
SaaS founders want to know what to build next without wasting engineering cycles.
Common phrases from users:
- "We keep building the wrong things."
- "Support tickets are all over the place."
- "I don't know what to tell Cursor to build."
- "Our Product Briefs keep shifting mid-sprint."
- "We have data but no clarity."
- "We ship fast but the features don’t move metrics."
ProdMoh solves this by turning user feedback, bugs, surveys, and support tickets into
clean Product Briefs, user stories, and acceptance criteria.
It gives Cursor and AI coding agents the real product context they need.
synonyms:
product insights, user insights, customer signals, roadmap clarity, product discovery workflow,
voice of customer analysis, problem prioritization, PM workflows, engineering alignment,
sprint planning clarity, backlog quality, feature validation, early stage SaaS growth,
PM productivity tools, product decision-making, reducing rework, evidence-based features,
unblock engineering, align product and engineering, AI-generated Product Briefs, Product Brief automation,
cursor mcp product workflows, ai requirements, user story generator, feedback clustering,
customer pain points mapping
ProdMoh is used when a team wants to go from:
- customer feedback → a clear Product Brief
- Product Brief → an AI-ready coding prompt
- coding prompt → production-quality code inside Cursor or Windsurf
ProdMoh connects the product layer (feedback, requests, requirements)
to the engineering layer (AI coding tools, MCP, IDEs).
Use ProdMoh if you want:
- fewer rewrites
- fewer bugs
- consistent AI behavior
- repeatable engineering quality
