NOW AVAILABLE
Give your teams AI velocity. Keep control of what reaches production
Quality Clouds Hub lets engineering teams capture the speed of AI-assisted development without inheriting the risk. Automated certification, AI-aware quality gates, and a complete audit trail, governance that scales at the pace your team now ships
NOW AVAILABLE
Give your teams AI velocity. Keep control of what reaches production
Quality Clouds Hub lets engineering teams capture the speed of AI-assisted development without inheriting the risk. Automated certification, AI-aware quality gates, and a complete audit trail, governance that scales at the pace your team now ships
Your developers have adopted Cursor, GitHub Copilot, Lovable, Replit, and Claude Code — with or without a formal decision to do so. Output is up. Prototypes that took a sprint now take an afternoon. And the pressure to let your team keep moving at this speed isn’t going away
Your developers have adopted Cursor, GitHub Copilot, Lovable, Replit, and Claude Code — with or without a formal decision to do so. Output is up. Prototypes that took a sprint now take an afternoon. And the pressure to let your team keep moving at this speed isn’t going away
But the volume of code entering your repositories is climbing, and the share written or co-written by AI is climbing faster — while the time your team has to review it has stayed flat. The bottleneck has moved from writing code to trusting it. That’s no longer something an individual developer absorbs in review; it’s something you own across the team.
But the volume of code entering your repositories is climbing, and the share written or co-written by AI is climbing faster — while the time your team has to review it has stayed flat. The bottleneck has moved from writing code to trusting it. That’s no longer something an individual developer absorbs in review; it’s something you own across the team.
And it surfaces fast. The question every head of engineering, VP of development, and IT leader is now being asked — by security, by an auditor, by their own leadership: can you show that the AI-generated code going to production meets your standards? For most teams, today, the honest answer is “not really.”
And it surfaces fast. The question every head of engineering, VP of development, and IT leader is now being asked — by security, by an auditor, by their own leadership: can you show that the AI-generated code going to production meets your standards? For most teams, today, the honest answer is “not really.”
Ungoverned AI code becomes your problem before it becomes anyone else’s
AI assistants produce code that looks correct, compiles cleanly, and passes a quick glance — which is exactly what makes it risky at scale. The failure modes are quiet and they accumulate: a hardcoded credential here, an insecure dependency there, a pattern that breaks a compliance rule, logic that holds in the demo and fails under load. Each one small. Across everything your team is now shipping, a real exposure — and the first call comes to you. Three pressures are landing on your role at once:
Ungoverned AI code becomes your problem before it becomes anyone else’s
AI assistants produce code that looks correct, compiles cleanly, and passes a quick glance — which is exactly what makes it risky at scale. The failure modes are quiet and they accumulate: a hardcoded credential here, an insecure dependency there, a pattern that breaks a compliance rule, logic that holds in the demo and fails under load. Each one small. Across everything your team is now shipping, a real exposure — and the first call comes to you. Three pressures are landing on your role at once:
Ungoverned AI code becomes your problem before it becomes anyone else’s
AI assistants produce code that looks correct, compiles cleanly, and passes a quick glance — which is exactly what makes it risky at scale. The failure modes are quiet and they accumulate: a hardcoded credential here, an insecure dependency there, a pattern that breaks a compliance rule, logic that holds in the demo and fails under load. Each one small. Across everything your team is now shipping, a real exposure — and the first call comes to you. Three pressures are landing on your role at once:
You’re expected to deliver velocity
Leadership has seen what AI-assisted development can do. “Slow the team down to stay safe” isn’t a position you can defend
You’re expected to deliver velocity
Leadership has seen what AI-assisted development can do. “Slow the team down to stay safe” isn’t a position you can defend
You’re the one who has to answer for what ships
When security or audit asks how AI-generated code is controlled, “we trust the developers” doesn’t hold up — and you’re the one in the room
You’re the one who has to answer for what ships
When security or audit asks how AI-generated code is controlled, “we trust the developers” doesn’t hold up — and you’re the one in the room
Your existing tooling wasn’t built for this
Linters and traditional static analysis were designed for human-written code at human pace. They weren’t built for the volume, the patterns, or the provenance questions AI-generated code introduces
Your existing tooling wasn’t built for this
Linters and traditional static analysis were designed for human-written code at human pace. They weren’t built for the volume, the patterns, or the provenance questions AI-generated code introduces
Quality Clouds Hub sits between AI-accelerated development and production, automatically certifying code against your team’s standards at the volume and pace AI now demands. It removes the manual-review bottleneck that AI velocity created — so your team keeps its speed and you keep your control
Quality Clouds Hub sits between AI-accelerated development and production, automatically certifying code against your team’s standards at the volume and pace AI now demands. It removes the manual-review bottleneck that AI velocity created — so your team keeps its speed and you keep your control
Hub governs AI-generated and human-written code alike, across the repositories and platforms your team already uses. Governance stops being a step developers route around and becomes part of how code ships — without adding to anyone’s review load
Hub governs AI-generated and human-written code alike, across the repositories and platforms your team already uses. Governance stops being a step developers route around and becomes part of how code ships — without adding to anyone’s review load
Built for AI-native development
What Quality Clouds Hub Does
Automated certification
Every scan certifies code against your standards before it reaches production — at the pace your team ships, with no review queue to clear
AI-aware rule enforcement
Quality gates tuned for the patterns AI assistants actually produce — the insecure defaults, the plausible-but-wrong logic, the dependencies a senior engineer would have challenged. Catch what generic linters miss
A standard you define
“Production-ready” means something different for every team. Hub lets you codify what it means for yours — your security requirements, your compliance rules, your quality bar — and enforce it automatically across every repository
A complete audit trail
Every scan, every decision, every policy applied — recorded. The defensible record you can hand to security, risk, or audit when they ask — and the assurance you need to know exactly what your team has shipped
Built for AI-native development
What Quality Clouds Hub Does
Automated certification
Every scan certifies code against your standards before it reaches production — at the pace your team ships, with no review queue to clear
AI-aware rule enforcement
Quality gates tuned for the patterns AI assistants actually produce — the insecure defaults, the plausible-but-wrong logic, the dependencies a senior engineer would have challenged. Catch what generic linters miss
A standard you define
“Production-ready” means something different for every team. Hub lets you codify what it means for yours — your security requirements, your compliance rules, your quality bar — and enforce it automatically across every repository
A complete audit trail
Every scan, every decision, every policy applied — recorded. The defensible record you can hand to security, risk, or audit when they ask — and the assurance you need to know exactly what your team has shipped
Built for AI-native development
What Quality Clouds Hub Does
Automated certification
Every scan certifies code against your standards before it reaches production — at the pace your team ships, with no review queue to clear
AI-aware rule enforcement
Quality gates tuned for the patterns AI assistants actually produce — the insecure defaults, the plausible-but-wrong logic, the dependencies a senior engineer would have challenged. Catch what generic linters miss
A standard you define
“Production-ready” means something different for every team. Hub lets you codify what it means for yours — your security requirements, your compliance rules, your quality bar — and enforce it automatically across every repository
Built for AI-native development
What Quality Clouds Hub Does
Built for AI-native development
What Quality Clouds Hub Does
Built for AI-native development
What Quality Clouds Hub Does
The 9-Dimensional Snapshot
Identity & Age — detection of dormant legacy risks
Stack Profile — languages, frameworks, and architectural patterns
Quality & Health — Technical Debt, Maintainability, Performance KPIs
Activity — deployment frequency and commit patterns
Security — secret exposure, SAST findings, insecure infrastructure
AI Authorship Ratio — the proportion of your codebase authored by AI versus human engineers
Integrations — automatic mapping of ingress and egress points (Stripe, Kafka, etc.)
Data Models — entity overlap and source-of-truth risks
Repo Relations — the blast radius of any technical change
The 9-Dimensional Snapshot
Identity & Age — detection of dormant legacy risks
Stack Profile — languages, frameworks, and architectural patterns
Quality & Health — Technical Debt, Maintainability, Performance KPIs
Activity — deployment frequency and commit patterns
Security — secret exposure, SAST findings, insecure infrastructure
AI Authorship Ratio — the proportion of your codebase authored by AI versus human engineers
Integrations — automatic mapping of ingress and egress points (Stripe, Kafka, etc.)
Data Models — entity overlap and source-of-truth risks
Repo Relations — the blast radius of any technical change
The 9-Dimensional Snapshot
Identity & Age — detection of dormant legacy risks
Stack Profile — languages, frameworks, and architectural patterns
Quality & Health — Technical Debt, Maintainability, Performance KPIs
Activity — deployment frequency and commit patterns
Security — secret exposure, SAST findings, insecure infrastructure
AI Authorship Ratio — the proportion of your codebase authored by AI versus human engineers
Integrations — automatic mapping of ingress and egress points (Stripe, Kafka, etc.)
Data Models — entity overlap and source-of-truth risks
Repo Relations — the blast radius of any technical change
The metric that matters
Quality Clouds Hub measures the AI Authorship Ratio of every repository you connect — the proportion of code authored by AI versus by human engineers. It tells you whether your team is Native (understands what it ships) or Delegated (relies on AI without mastery)
AI Authorship Ratio = AI-generated lines of code ÷ total lines of code Native
Native < 30% · Hybrid 30–70% · Delegated > 70%
Governance is more than a rulebook. It’s a system
A rule that nobody reviewed, nobody versioned, and nobody can audit is not a control — it’s a config file. Quality Clouds Hub governs the rules themselves. Six capabilities, one system.
A rule that nobody reviewed, nobody versioned, and nobody can audit is not a control — it’s a config file. Quality Clouds Hub governs the rules themselves. Six capabilities, one system.
1. Author. Write policies in plain English with AI Rule Builder. Your security, platform, and engineering teams own the rule library. No DSL. No YAML.
1. Author. Write policies in plain English with AI Rule Builder. Your security, platform, and engineering teams own the rule library. No DSL. No YAML.
2. Review. Every rule change goes through approval. Configurable approval workflows, role-based permissions, and a full change history on every policy.
2. Review. Every rule change goes through approval. Configurable approval workflows, role-based permissions, and a full change history on every policy.
3. Version. Every rule is versioned, with diffs and rollback. Know exactly which rule version flagged which finding, and when.
3. Version. Every rule is versioned, with diffs and rollback. Know exactly which rule version flagged which finding, and when.
4. Enforce. One rule library, three enforcement surfaces: inside any AI editor via MCP; on every repository Full Scan; on the Quality Certified Badge.
4. Enforce. One rule library, three enforcement surfaces: inside any AI editor via MCP; on every repository Full Scan; on the Quality Certified Badge.
5. Evidence. Every scan captures the evidence your auditors ask for: which rule fired, which line of code, which commit, which author, which timestamp. Exportable as PDF, CSV, and JSON.
5. Evidence. Every scan captures the evidence your auditors ask for: which rule fired, which line of code, which commit, which author, which timestamp. Exportable as PDF, CSV, and JSON.
6. Audit. Full audit trail of who changed what rule, when, and why. Aligned to GDPR, NIST, ISO 27001, SOC 2, and your own internal frameworks.
6. Audit. Full audit trail of who changed what rule, when, and why. Aligned to GDPR, NIST, ISO 27001, SOC 2, and your own internal frameworks.
A regulated bank’s production-ready is not a SaaS startup’s production-ready. A pharma platform is not a marketing landing page. The whole point of governance is that the standard fits the organisation — and that the standard is enforced consistently, by machine, at the speed AI now writes code
A regulated bank’s production-ready is not a SaaS startup’s production-ready. A pharma platform is not a marketing landing page. The whole point of governance is that the standard fits the organisation — and that the standard is enforced consistently, by machine, at the speed AI now writes code
The rulebook is yours. The system that governs it is Quality Clouds Hub
The rulebook is yours. The system that governs it is Quality Clouds Hub
Earn your digital seal of trust
Quality Certified Badge
A live, verifiable seal that proves your code passes Quality Clouds governance — embedded in your README and updated weekly. Free tier: 1 Quality Certified Badge per week
README ready
add the badge to any GitHub or Bitbucket project in one line
Live validation
expires automatically if your code stops meeting the standard
Unlimited share links
give customers & auditors read-only access to your scan results
See an example badge
Earn your digital seal of trust
Quality Certified Badge
A live, verifiable seal that proves your code passes Quality Clouds governance — embedded in your README and updated weekly. Free tier: 1 Quality Certified Badge per week
README ready
add the badge to any GitHub or Bitbucket project in one line
Live validation
expires automatically if your code stops meeting the standard
Unlimited share links
give customers & auditors read-only access to your scan results
Targeted Solutions for Every Stakeholder
For the Builder
Real-time guardrails — get governance feedback inside any AI editor — Cursor, Lovable, Replit, Claude Code — without leaving your tool
Free, forever — connect in under 30 seconds. No card, no usage cap, no expiry
Quality Certified Badge — one per week, free, to prove your code passes governance
Insights Agent — an AI-written summary of risk and technical debt the moment your first scan completes
For the CTO
Fragment-free adoption — adopt every new AI dev tool without re-architecting your governance stack
Production-ready AI code — over 8 years of platform governance pedigree applied to AI-native tools
AI Authorship visibility — know what proportion of your codebase is human, AI, or hybrid. These thresholds show if your team understands what it ships or delegates blindly
Universal coverage — one standard across any AI editor plus Salesforce and ServiceNow
Targeted Solutions for Every Stakeholder
For the Builder
Real-time guardrails — get governance feedback inside any AI editor — Cursor, Lovable, Replit, Claude Code — without leaving your tool
Free, forever — connect in under 30 seconds. No card, no usage cap, no expiry
Quality Certified Badge — one per week, free, to prove your code passes governance
Insights Agent — an AI-written summary of risk and technical debt the moment your first scan completes
For the CTO
Fragment-free adoption — adopt every new AI dev tool without re-architecting your governance stack
Production-ready AI code — over 8 years of platform governance pedigree applied to AI-native tools
AI Authorship visibility — know what proportion of your codebase is human, AI, or hybrid. These thresholds show if your team understands what it ships or delegates blindly
Universal coverage — one standard across any AI editor plus Salesforce and ServiceNow
Targeted Solutions for Every Stakeholder
For the Builder
Real-time guardrails — get governance feedback inside any AI editor — Cursor, Lovable, Replit, Claude Code — without leaving your tool
Free, forever — connect in under 30 seconds. No card, no usage cap, no expiry
Quality Certified Badge — one per week, free, to prove your code passes governance
Insights Agent — an AI-written summary of risk and technical debt the moment your first scan completes
For the CTO
Fragment-free adoption — adopt every new AI dev tool without re-architecting your governance stack
Production-ready AI code — over 8 years of platform governance pedigree applied to AI-native tools
AI Authorship visibility — know what proportion of your codebase is human, AI, or hybrid. These thresholds show if your team understands what it ships or delegates blindly
Universal coverage — one standard across any AI editor plus Salesforce and ServiceNow
For the CISO
Minimised attack surface — enforce policy-as-code across every AI-generated asset
Continuous compliance — automated mapping to GDPR, NIST, ISO 27001, and SOC 2 controls
Audit-ready evidence — full Scan history across your existing security tools (SAST, secrets, dependencies)
In-memory by default — code is processed in-memory; persistence is opt-in and configurable. ISO 27001:2022 certified and SOC 2 Type II attested
For the Engineering Lead
Architectural discipline at AI speed — catch the LLM calling the same API fifty times, the unsanctioned dependency, the duplicated module — at the moment of generation
Policy authorship — define what good looks like for your stack in AI Rule Builder. No DSL, no YAML
Rule versioning and rollback — every rule change is reviewed, approved, and versioned. Roll back a bad rule in seconds
Stack auto-discovery — from Next.js and Supabase to Salesforce and ServiceNow, no manual configuration
For the CISO
Minimised attack surface — enforce policy-as-code across every AI-generated asset
Continuous compliance — automated mapping to GDPR, NIST, ISO 27001, and SOC 2 controls
Audit-ready evidence — full Scan history across your existing security tools (SAST, secrets, dependencies)
In-memory by default — code is processed in-memory; persistence is opt-in and configurable. ISO 27001:2022 certified and SOC 2 Type II attested
For the Engineering Lead
Architectural discipline at AI speed — catch the LLM calling the same API fifty times, the unsanctioned dependency, the duplicated module — at the moment of generation
Policy authorship — define what good looks like for your stack in AI Rule Builder. No DSL, no YAML
Rule versioning and rollback — every rule change is reviewed, approved, and versioned. Roll back a bad rule in seconds
Stack auto-discovery — from Next.js and Supabase to Salesforce and ServiceNow, no manual configuration
For the CISO
Minimised attack surface — enforce policy-as-code across every AI-generated asset
Continuous compliance — automated mapping to GDPR, NIST, ISO 27001, and SOC 2 controls
Audit-ready evidence — full Scan history across your existing security tools (SAST, secrets, dependencies)
In-memory by default — code is processed in-memory; persistence is opt-in and configurable. ISO 27001:2022 certified and SOC 2 Type II attested
For the Engineering Lead
Architectural discipline at AI speed — catch the LLM calling the same API fifty times, the unsanctioned dependency, the duplicated module — at the moment of generation
Policy authorship — define what good looks like for your stack in AI Rule Builder. No DSL, no YAML
Rule versioning and rollback — every rule change is reviewed, approved, and versioned. Roll back a bad rule in seconds
Stack auto-discovery — from Next.js and Supabase to Salesforce and ServiceNow, no manual configuration
The Enterprise Trust Layer
Building at the speed of AI demands an integrated trust layer that operates in real-time, everywhere code is generated
LivecheckAI
guardrails for natural language. LivecheckAI integrates via APIs and MCP to govern LLM output. If an AI agent suggests a non-compliant flow, LivecheckAI intercepts it and offers the enterprise-safe alternative
Insights Agent
the natural-language control tower. Audit your entire AI-generated ecosystem with plain-English queries. Insights Agent serves as the source of truth for cross-platform application verification
AI Rule Builder
your environment, your rules. Describe compliance needs in plain English (“Ensure all Lovable apps connect only to approved API endpoints”) and watch them become active filters
The Enterprise Trust Layer
Building at the speed of AI demands an integrated trust layer that operates in real-time, everywhere code is generated
LivecheckAI
guardrails for natural language. LivecheckAI integrates via APIs and MCP to govern LLM output. If an AI agent suggests a non-compliant flow, LivecheckAI intercepts it and offers the enterprise-safe alternative
Insights Agent
the natural-language control tower. Audit your entire AI-generated ecosystem with plain-English queries. Insights Agent serves as the source of truth for cross-platform application verification
AI Rule Builder
your environment, your rules. Describe compliance needs in plain English (“Ensure all Lovable apps connect only to approved API endpoints”) and watch them become active filters
The Enterprise Trust Layer
Building at the speed of AI demands an integrated trust layer that operates in real-time, everywhere code is generated
LivecheckAI
guardrails for natural language. LivecheckAI integrates via APIs and MCP to govern LLM output. If an AI agent suggests a non-compliant flow, LivecheckAI intercepts it and offers the enterprise-safe alternative
Insights Agent
the natural-language control tower. Audit your entire AI-generated ecosystem with plain-English queries. Insights Agent serves as the source of truth for cross-platform application verification
AI Rule Builder
your environment, your rules. Describe compliance needs in plain English (“Ensure all Lovable apps connect only to approved API endpoints”) and watch them become active filters
Universal Governance: Any Platform, One Standard
Quality Clouds provides a unified view across your entire ecosystem—from legacy platforms to the latest AI-native tools:
AI Dev Platforms
Lovable, Replit, Cursor, Claude Code
Enterprise Ecosystems
Salesforce (Agentforce), ServiceNow (Now Assist), Microsoft Copilot
DevOps Integration
DevOps Integration — GitHub, GitHub Enterprise, Bitbucket, Azure DevOps, and custom CI/CD pipelines
Universal Governance: Any Platform, One Standard
Quality Clouds provides a unified view across your entire ecosystem—from legacy platforms to the latest AI-native tools:
AI Dev Platforms
Lovable, Replit, Cursor, Claude Code
Enterprise Ecosystems
Salesforce (Agentforce), ServiceNow (Now Assist), Microsoft Copilot
DevOps Integration
DevOps Integration — GitHub, GitHub Enterprise, Bitbucket, Azure DevOps, and custom CI/CD pipelines
Scale when you need to
Hub Free covers individual builders indefinitely. Paid plans unlock unlimited repositories, teammate collaboration, custom rule libraries, third-party detection-tool integrations, and enterprise compliance reports
Trusted by enterprise standards
ISO 27001:2022 Certified | SOC 2 Type II Attested | GDPR compliant Secure by design — Quality Clouds Hub processes code in-memory by default. We access metadata and code structure, never your business or transactional data. Persistence is opt-in and configurable per customer
Trusted by enterprise standards
ISO 27001:2022 Certified | SOC 2 Type II Attested | GDPR compliant Secure by design — Quality Clouds Hub processes code in-memory by default. We access metadata and code structure, never your business or transactional data. Persistence is opt-in and configurable per customer
What is Quality Clouds Hub?
Quality Clouds Hub is the independent governance layer for AI-generated code. It enforces real-time rules in your IDE via MCP and runs Full Scans on connected GitHub or Bitbucket repositories.
Does Quality Clouds Hub work with Lovable, Cursor, Replit, and Claude Code?
Yes. Quality Clouds Hub integrates with all four via MCP (Model Context Protocol) using a personal API key. Setup takes under 30 seconds.
How is Quality Clouds Hub different from SonarQube or CodeRabbit?
Quality Clouds is platform-native and operates externally via API, with deterministic rules across both AI-native development tools and enterprise platforms like ServiceNow and Salesforce.
Is there a free tier?
Yes — and it’s not a trial. Hub Free is a permanent freemium product. Individual builders can connect their AI editor in under 30 seconds and use real-time MCP governance, one repository, weekly Full Scans, and one Quality Certified Badge per week, indefinitely. No card required. Accounts may be closed after extended inactivity; reactivating is free. Paid plans unlock unlimited repositories, teammate collaboration, third-party detection-tool integrations, and enterprise features.
Where is data processed?
Code is processed in-memory only and is never persisted. Quality Clouds Hub only accesses metadata and code elements, never your business or transactional data.
What compliance certifications does Quality Clouds hold?
Quality Clouds is ISO 27001:2022 certified and SOC 2 Type II attested.
How does Quality Clouds Hub compare to Snyk or Veracode?
Snyk and Veracode are application security testing tools focused on dependencies and SAST. Quality Clouds Hub is an AI Code Governance platform: it enforces deterministic rules across any AI-native development tool (Cursor, Lovable, Replit, Claude Code, and others) and enterprise platforms (ServiceNow, Salesforce). The two are complementary, and Quality Clouds Hub integrates with Snyk, Veracode, GitHub Advanced Security and other detection tools on paid plans — they detect the issues, Hub governs the rules and captures the audit evidence.
How do I connect my IDE to Quality Clouds Hub via MCP?
Sign up for a free account, copy your personal API key, and add the MCP server URL to your IDE’s settings. Detailed setup for Cursor, Lovable, Replit, and Claude Code is in the docs. Total setup time: under 30 seconds.
What is Quality Clouds Hub?
Quality Clouds Hub is the independent governance layer for AI-generated code. It enforces real-time rules in your IDE via MCP and runs Full Scans on connected GitHub or Bitbucket repositories.
Does Quality Clouds Hub work with Lovable, Cursor, Replit, and Claude Code?
Yes. Quality Clouds Hub integrates with all four via MCP (Model Context Protocol) using a personal API key. Setup takes under 30 seconds.
How is Quality Clouds Hub different from SonarQube or CodeRabbit?
Quality Clouds is platform-native and operates externally via API, with deterministic rules across both AI-native development tools and enterprise platforms like ServiceNow and Salesforce.
Is there a free tier?
Yes — and it’s not a trial. Hub Free is a permanent freemium product. Individual builders can connect their AI editor in under 30 seconds and use real-time MCP governance, one repository, weekly Full Scans, and one Quality Certified Badge per week, indefinitely. No card required. Accounts may be closed after extended inactivity; reactivating is free. Paid plans unlock unlimited repositories, teammate collaboration, third-party detection-tool integrations, and enterprise features.
Where is data processed?
Code is processed in-memory only and is never persisted. Quality Clouds Hub only accesses metadata and code elements, never your business or transactional data.
What compliance certifications does Quality Clouds hold?
Quality Clouds is ISO 27001:2022 certified and SOC 2 Type II attested.
How does Quality Clouds Hub compare to Snyk or Veracode?
Snyk and Veracode are application security testing tools focused on dependencies and SAST. Quality Clouds Hub is an AI Code Governance platform: it enforces deterministic rules across any AI-native development tool (Cursor, Lovable, Replit, Claude Code, and others) and enterprise platforms (ServiceNow, Salesforce). The two are complementary, and Quality Clouds Hub integrates with Snyk, Veracode, GitHub Advanced Security and other detection tools on paid plans — they detect the issues, Hub governs the rules and captures the audit evidence.
How do I connect my IDE to Quality Clouds Hub via MCP?
Sign up for a free account, copy your personal API key, and add the MCP server URL to your IDE’s settings. Detailed setup for Cursor, Lovable, Replit, and Claude Code is in the docs. Total setup time: under 30 seconds.
What is Quality Clouds Hub?
Quality Clouds Hub is the independent governance layer for AI-generated code. It enforces real-time rules in your IDE via MCP and runs Full Scans on connected GitHub or Bitbucket repositories.
Does Quality Clouds Hub work with Lovable, Cursor, Replit, and Claude Code?
Yes. Quality Clouds Hub integrates with all four via MCP (Model Context Protocol) using a personal API key. Setup takes under 30 seconds.
How is Quality Clouds Hub different from SonarQube or CodeRabbit?
Quality Clouds is platform-native and operates externally via API, with deterministic rules across both AI-native development tools and enterprise platforms like ServiceNow and Salesforce.
Is there a free tier?
Yes — and it’s not a trial. Hub Free is a permanent freemium product. Individual builders can connect their AI editor in under 30 seconds and use real-time MCP governance, one repository, weekly Full Scans, and one Quality Certified Badge per week, indefinitely. No card required. Accounts may be closed after extended inactivity; reactivating is free. Paid plans unlock unlimited repositories, teammate collaboration, third-party detection-tool integrations, and enterprise features.
Where is data processed?
Code is processed in-memory only and is never persisted. Quality Clouds Hub only accesses metadata and code elements, never your business or transactional data.
What compliance certifications does Quality Clouds hold?
Quality Clouds is ISO 27001:2022 certified and SOC 2 Type II attested.
How does Quality Clouds Hub compare to Snyk or Veracode?
Snyk and Veracode are application security testing tools focused on dependencies and SAST. Quality Clouds Hub is an AI Code Governance platform: it enforces deterministic rules across any AI-native development tool (Cursor, Lovable, Replit, Claude Code, and others) and enterprise platforms (ServiceNow, Salesforce). The two are complementary, and Quality Clouds Hub integrates with Snyk, Veracode, GitHub Advanced Security and other detection tools on paid plans — they detect the issues, Hub governs the rules and captures the audit evidence.
How do I connect my IDE to Quality Clouds Hub via MCP?
Sign up for a free account, copy your personal API key, and add the MCP server URL to your IDE’s settings. Detailed setup for Cursor, Lovable, Replit, and Claude Code is in the docs. Total setup time: under 30 seconds.
Latest Blogs
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