Create websites with UI Bakery AI Website Generator

Drag-and-drop responsive UI builder

UI Bakery’s visual editor lets teams construct responsive interfaces by placing components onto a grid, adjusting sizing, and previewing layouts across device breakpoints. Designers and developers can avoid manual CSS work because components come pre-styled and follow a unified design system. The builder supports over seventy components like tables, forms, charts, and containers, while layout controls enable column grids and mobile-specific arrangements. Rapid prototyping turns product ideas into testable screens without long front-end development cycles orchestration and iterative feedback loops.

AI App Generator and AI Assistant

An integrated AI toolkit accelerates application creation by generating screens and logic from plain prompts, converting outputs into editable UI Bakery projects. The platform includes an AI Assistant trained on documentation that writes and debugs SQL, JavaScript, and Python snippets, offers guidance about platform features, and helps resolve errors rapidly. Teams refine generated apps interactively, iterating prompts or editing components, which reduces boilerplate work and speeds delivery while keeping developer oversight and room for custom code.

Data connections and native integrations

UI Bakery connects to databases, business apps, and any HTTP API, offering native connectors for PostgreSQL, MySQL, MongoDB, Stripe, HubSpot, and more. Users can visually map queries to UI components, perform CRUD operations, and synchronize data across sources without manual plumbing. OpenAPI and GraphQL endpoints are supported, enabling complex queries and mutations. Combined with a data editor and hosted Postgres option, the integrations let teams treat business data as a first-class citizen when building interfaces, dashboards, and workflows for scalability.

Code-and no-code business logic

The Actions system delivers a hybrid approach where visual workflows handle common operations while code snippets provide fine-grained control. Create sequences that call APIs, run database queries, loop through sets, set conditions, and manipulate state variables. Developers can embed JavaScript or Python to transform payloads, perform calculations, or implement custom validation. A debugger helps trace logic and reveals values. This setup accelerates feature creation for teams that want the speed of low-code without sacrificing expressiveness required for intricate business rules.

Built-in Postgres database

UI Bakery offers a hosted PostgreSQL service integrated into the platform, providing a streamlined way to store application data without managing external databases. Users can create tables, modify schemas, edit content inline, and define keys and relationships via an editor. The database integrates with UI components and Actions, enabling fast CRUD operations and query-driven interfaces. Teams benefit from reduced operational overhead, access to backups and user management, and the convenience of a single environment for both data and UI development.

Git version control and release management

UI Bakery integrates Git-based version control to help teams manage development, track history, and roll back changes when needed. It supports branching strategies, synchronization between instances, and viewing release histories within the platform. Developers can collaborate without overwriting one another’s work, inspect diffs, and restore prior versions quickly. Combined with environment publishing, this capability promotes safer rollouts and staged testing. The built-in workflow reduces coordination overhead, making it easier to enforce release processes and maintain a clear audit trail across projects.

One-click deployment and access control

Deployment is simplified with publish controls that let teams push updates to specific environments and invite end users to interact with live applications. Admins configure user roles and fine-grained permissions so access aligns with organizational policies, while secure endpoints protect data flows. Environment separation supports staging and production, and tools for user invitations and access management streamline onboarding. This operational model shortens the path from build to production by reducing manual configuration steps and centralizing governance on the platform effectively.

Custom components and extensibility

When a required component is unavailable, developers can embed JavaScript widgets or third-party UI as Custom Components handled in a secure iFrame. This approach allows inclusion of external libraries, interactive charts, or custom controls while preserving data isolation and preventing access to application state. Developers may import modules from CDNs or write front-end code for niche needs. Combined with styling tokens and a consistent design system, extensibility helps teams meet edge cases without compromising platform integrity or security practices standards.

Reddit commenter (r/ArtificialInteligence, thread 'AI web app generator for SQL databases') reported that UI Bakery AI produced a plausible interface but broken interactions: table search returned 'No-data', status dropdowns were empty, and buttons failed. The commenter said manual fixes were needed and warned about model hallucinations causing malformed actions, adding that generated apps required extensive post‑generation debugging before production use. They recommended testing every feature and tracking credits carefully closely.

reratek R. (G2, review 'It's a good tools') complained that the AI agent often required multiple prompts to produce correct behavior, which quickly consumed credits and slowed iteration. The reviewer added that resolving one defect sometimes caused other features to break, and requested stronger version control and advanced debugging tools to trace regressions, noting those additions would materially reduce time spent diagnosing generated logic and restore confidence for larger apps.

Chris G. (Capterra, 'Could be exactly what you need') noted performance problems on modest hardware, reporting slow loading and occasional unresponsiveness when working on larger projects. The reviewer observed that some workflows felt less user-friendly, and recommended clearer documentation and templates to accelerate onboarding. They praised support responsiveness but warned teams should test application performance under realistic datasets before committing to production deployments. It affected delivery timelines for some teams.

Felix (SoftwareAdvice, 'Great tool for business automation') praised UI Bakery but pointed out initial integration gaps and sparse documentation when starting. The reviewer said the support team provided custom integrations and rapid fixes, yet emphasized that small teams should budget time for setup. Felix recommended an expansion of tutorials and ready-made templates to reduce early friction and shorten the learning curve for non-expert builders. This would speed onboarding and adoption.

A PeerSpot contributor (page 'UI Bakery reviews 2025') flagged occasional performance degradation, particularly with heavy projects, and limited template selection. The post urged improved documentation, greater project customization, and more flexible pricing for smaller teams. The contributor warned that loading times can hamper iterative design, suggesting teams validate performance on their largest expected datasets before committing to a migration. They reported one case of a stalled deployment requiring vendor support.

A Gartner reviewer (Enterprise Low-Code Application Platforms page) noted UI Bakery's strengths but observed gaps in advanced governance and monitoring for enterprise use. The reviewer highlighted that teams scaling to multiple apps may need stronger release controls, audit trails, and deployment insights. They advised organizations to pilot governance features early and check compatibility with existing DevOps toolchains to avoid operational surprises during wider rollouts. This planning reduced post-launch remediation risk.

Multiple Twitter users reacted to a UI Bakery outage announcement (tweet by @uibakery), reporting disrupted workflows and halted deployments. Commenters described blocked teams, missed deadlines, and reliance on platform availability for internal apps. Several asked for clearer status pages, incident timelines, and post-incident reports. The community urged the vendor to publish SLA details and retrospective notes to rebuild operational trust after the disruption; they requested compensation for mission-critical downtime promptly.

Marzio F. (G2, 'Solid Low-Code Platform for Rapid Development') reported that UI Bakery became sluggish on very large projects and that pricing could be steep for small teams. He recommended performance profiling and careful cost analysis before adoption. Marzio noted the drag‑and‑drop interface is powerful, but teams should validate response times for complex apps and estimate total monthly costs at scale. He experienced slower editor responsiveness during peak collaborative edits.

Jose P. (Capterra, 'UI Bakery easy and effective') wrote that while UI Bakery accelerated interface development, gaps in documentation forced reliance on support. Jose warned that newcomers may waste time experimenting without step‑by‑step tutorials and recommended richer examples for common integrations like Firebase or Postgres. He said proactive docs would reduce support requests and make adoption easier for teams without dedicated frontend engineers. It slowed early project timelines in practice.

A NoCodeDevs member (tool page 'UI Bakery') noted that the platform can be limiting for highly customised designs and that post-generation editing sometimes required deeper technical tweaks. The member suggested stronger sample libraries and more exportable code examples to reduce vendor lock‑in risk. They also pointed out that AI-generated components may not match complex brand guidelines, so teams planning polished public interfaces should validate output thoroughly. Design QA remained necessary.