AI app for it and development · no coding needed
Source-linked visual interface editing console
Reduce the gap between visual interface changes and the committed source.
Made for: Front-end developers and product teams maintaining a live web codebase
What it does for you
The problem
Visual edits and code edits live in separate tools, so interface changes drift from the real source and reviews stall.
What it gives you
Reviewed, source-linked interface changes
What you give it
The running appits source filesstyling rulesversion history
Build your own version of Shape, Invoke and more
One app with what these 7 AI tools do, yours to keep and change: Shape, Invoke, Tempo Labs, Inspector, Piny, Gemini Canvas, MightyMeld.
Everything these tools do, in one app
- Visual UI editing Lets you change interface elements visually and apply those changes to the code.Found in Shape, Invoke, Tempo Labs and 3 more
- Direct code editing Edits are written directly into the source codebase rather than a separate design file.Found in Shape, Tempo Labs, Inspector and 2 more
- Live preview Shows the running app so you can see changes as you make them.Found in Shape, Invoke, Piny and 2 more
- AI agent integration Connects to AI agents that can generate or apply code edits automatically.Found in Shape, Invoke, Inspector and 1 more
- Git integration Manage version control actions like staging, committing, and branching from within the tool.Found in Shape, Inspector
- Tailwind CSS support Works with Tailwind CSS for styling and class management.Found in Shape, Tempo Labs, Piny and 1 more
- Framework support Supports popular front-end frameworks like React, Next.js, Astro, and Vite.Found in Tempo Labs, Piny, Gemini Canvas and 1 more
- Real-time collaboration Allows multiple team members to work on the same project simultaneously with instant updates.Found in Tempo Labs, Gemini Canvas
- Code generation Generates code from visual designs or prompts.Found in Invoke, Tempo Labs, Gemini Canvas
- Project navigation Click elements in a live preview to jump to their source code.Found in Piny
- Sandbox environment Fork a project into an isolated copy to experiment safely.Found in Invoke
- Visual planning boards Lay out features as cards and dependencies to plan tasks before coding.Found in Invoke
- Multi-model support Connect to multiple AI model providers like Claude, OpenAI, Google, xAI, and Ollama.Found in Invoke
- Built-in code editor Includes a code editor with language support like TypeScript LSP.Found in Invoke
- Integrated terminal Provides a terminal within the tool for running commands.Found in Invoke
- AI code review Automatically reviews code changes for issues.Found in Invoke
- Checkpoints Saves states of the project to revert or compare changes.Found in Invoke
- Memory Remembers context or past interactions to inform future actions.Found in Invoke
How it works, step by step
- Edit interface elements visually and map each change to source
- Write edits directly into the codebase, not a separate design file
- Show a live preview of the running app during editing
- Connect AI agents that generate or apply code edits
- Stage, commit and branch from inside the tool
- Manage Tailwind CSS classes and styling
- Support React, Next.js, Astro and Vite projects
- Allow several team members to edit the same project with instant updates
- Generate code from visual designs or prompts
- Click a preview element to jump to its source
- Fork a project into an isolated sandbox copy
- Lay out features as cards and dependencies on planning boards
- Connect multiple model providers including Claude, OpenAI, Google, xAI and Ollama
- Provide a built-in code editor with TypeScript language support
- Provide an integrated terminal for running commands
- Review code changes automatically for issues
- Save checkpoints to revert or compare states
- Retain project memory to inform later actions
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed, source-linked interface changes with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Source-linked visual interface editing console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Source-linked visual interface editing console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce the gap between visual interface changes and the committed source. For front-end developers and product teams maintaining a live web codebase, convert the running app, its source files, styling rules and version history into reviewed, source-linked interface changes. The benefit is a testable hypothesis, measured through accepted interface changes per developer hour and rework after merge; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect the running app, its source files, styling rules and version history, then follow this sequence: 1. Edit interface elements visually and map each change to source. 2. Write edits directly into the codebase, not a separate design file. 3. Show a live preview of the running app during editing. 4. Connect AI agents that generate or apply code edits. 5. Stage, commit and branch from inside the tool. Resolve uncertain cases with qualified reviewers, approve reviewed, source-linked interface changes, and measure accepted interface changes per developer hour and rework after merge against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One supported framework version and one styling setup; final merge and release decisions remain with the engineering owner. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve code ownership, source attribution, license accuracy and usage permissions. Engineering owners approve substantive changes and release scope. One supported framework version and one styling setup; final merge and release decisions remain with the engineering owner. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One supported framework version and one styling setup; final merge and release decisions remain with the engineering owner. Implement one approved repository format, a bounded representative case set and the first two task modules: edit interface elements visually and map each change to source; write edits directly into the codebase, not a separate design file. Support the remaining modules with operator review: show a live preview of the running app during editing; connect AI agents that generate or apply code edits; stage, commit and branch from inside the tool. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Customer-owned repositories, authorized code hosting and permitted design sources. Cloud build and preview environments, design-file import/export and deployment destinations. Start with file exchange and validate destination specifications before promising direct deployment. Start with authorized repository access. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Project and branch setup, Visual editing canvas with live preview, Source and diff review, Agent and model console, Admin and audit. Use a project list with branch state, a large central preview beside a code panel, and a right-hand panel for element tree, styles, agent actions and comments. Let users compare checkpoints side by side. Display draft, changes requested and approved states. Provide a reviewer link with comments anchored to the relevant element and source line. Make the task-specific outcome reviewed, source-linked interface changes visible beside its evidence, review state and value baseline.
