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GenMB builds a real, secure, production-ready app for you - the same quality a senior engineer would, without you writing any code. Here is how.

A real, production-ready backend

When you describe an app in plain English, GenMB builds the whole thing for you - the screens people see, a real database, user sign-in, and the working logic behind it. You get the same quality a senior engineer would deliver, without writing a line of code yourself.

Need to change something? Just ask in chat. Describe what you want in everyday language and GenMB updates the app, keeping all the moving parts in sync.

Built for your app, every time

GenMB reads your specific requirements and builds custom software for them. It is not filling in a fixed template, so the result fits what you actually asked for.

For developers

Under the hood, GenMB generates a multi-layer app with clean separation of concerns: request-handling routes, a service layer for business logic, shared data models (Pydantic / TypeScript), React components, and the configuration to run it (middleware, CORS, deployment manifests).

Organized like a real project

Bigger apps are built as proper, well-organized projects rather than one giant tangle. GenMB keeps the pieces tidy and makes sure they all connect correctly, so the app stays easy to grow as you add features.

GenMB also double-checks its own work before you ever see the code. If two parts don't line up, it catches and fixes the problem automatically, so you get a working app, not a half-finished one.

For developers

Complex apps are emitted as multi-file projects with consistent imports, shared types, and clear module boundaries (e.g. a task manager splits into src/components, hooks, types, lib and a Python backend of routes, models, and services). An import processor validates every cross-file reference, catching missing imports, circular dependencies, and type mismatches before delivery.

AI Provider System

GenMB uses a multi-provider architecture with automatic failover. No single model failure can break your generation.

Fallback chains

Each model has a 2-deep fallback chain that crosses provider boundaries (e.g., GPT-5.5 -> GPT-5.4 -> Gemini 3.5 Flash).

Circuit breaker

Tracks success/failure per model. When a model is failing, the system falls back immediately without waiting for timeouts.

Retry with backoff

Exponential backoff with jitter on transient errors. Retries exhaust before fallback triggers.

Task routing

Different AI tasks (generation, healing, detection, chat) can use different models optimized for each task type.

Checked for security automatically

Every app GenMB builds is scanned for common security problems - things like leaked passwords or keys, weak sign-in handling, and openings that could let attackers in. The scan runs on its own in the background and adds no noticeable wait.

The best part: GenMB doesn't just flag the serious issues, it fixes them before handing you the app. You also get a simple security score (0 to 100) so you can see at a glance how solid your app is.

Want the full checklist?

For the complete list of what gets scanned, how scores are calculated, and how GenMB compares to other tools, see Security & Code Quality.

For developers

The scanner is pure static analysis (no LLM calls, ~50ms) mapped to the OWASP Top 10: XSS, injection (SQL via f-strings, eval), exposed secrets, broken auth (tokens in localStorage, missing CSRF), and CORS misconfiguration. The score is 100 minus 20 per critical finding, 10 per high, 3 per medium, and 1 per low; critical and high findings are auto-fed into the Code Healer for remediation.

Fixes its own mistakes

GenMB checks the app it just built and repairs anything that's off before you see it. It works the way a careful engineer would: reading through the app, spotting the problem, and making a precise fix rather than starting over.

Collect

All issues from syntax checks, import validation, security scanning, and backend validation are collected in one pass.

Heal

The AI healer receives all issues together, giving it full context to fix root causes rather than chasing symptoms one by one.

Verify

After healing, the code is re-validated. If issues remain, a second healing pass runs. Up to 3 attempts ensure thorough remediation.

Precise fixes, not rewrites

GenMB edits only the part that needs fixing instead of regenerating the whole app, so the rest of your work stays exactly as it was.

Plugin Injection

GenMB ships with 80+ plugins for popular tools and services. When you mention something like "add Stripe payments," GenMB pulls in that plugin's setup, working code, and best practices automatically, so the integration is done right without you wiring it up.

Detection

Plugins are auto-detected from your prompt keywords and existing code patterns. No manual configuration needed.

Injection

Plugin templates and code snippets are injected into the generation prompt, giving the AI concrete implementation guidance.

Idempotent

Re-injection is safe. SDK markers ensure plugins are never duplicated across regenerations.

FAQs

How is GenMB different from tools that only generate UI?
GenMB generates complete applications - frontend, backend, database schema, authentication, and API routes. When you describe a "task manager with user accounts," you get React components, FastAPI routes, database models, auth middleware, and deployment configuration. Not just a mockup.
How does the AI handle complex dependencies between files?
The AI is architecture-aware. It generates consistent imports, shared types, and proper module boundaries across all files. The import processor validates every cross-file reference and the Code Healer fixes any inconsistencies.
What AI models power GenMB?
GenMB uses a multi-provider system with automatic fallback chains across OpenAI, Google, and Anthropic. The current default is GPT-5.5 (OpenAI) for highest quality across all tasks. Each model has a 2-deep fallback chain that crosses provider boundaries (Gemini 3.5 Flash sits at the end of the chain as a cross-provider failover), so if a provider is unavailable, generation continues seamlessly. We rotate to the latest frontier models as they ship.
Can GenMB generate enterprise-ready apps?
Yes. The apps it builds handle errors gracefully, validate the data people enter, follow established security best practices (OWASP), control who can access what, and keep useful activity logs - the kind of solid foundation a professional engineering team would put in place.

Ready to build?

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