Summary of achievements
| Priority | Requirement | Description | Completed | Contributor |
|---|---|---|---|---|
| Must | Screenshot to Layout Conversion | Upload a screenshot and generate a corresponding CraftJS layout using AI. | Yes | Josh Mendel, Joshua Soh |
| Must | Text to Layout Generation | Users describe a webpage in natural language, and AI generates a CraftJS layout. | Yes | Josh Mendel, Gideon Zeru |
| Must | Component Level Enhancements | Modify design attributes, add features | Yes | Simran Goel, Joshua Soh |
| Must | Code Export & Migration | Generate frontend code that is exportable in different languages and frameworks. | Yes | Josh Mendel, Simran Goel |
| Must | Design options given by AI | AI suggests 2 different versions of initial design generation for users to choose. | Yes | Gideon Zeru, Simran Goel |
| Should | Dynamic Component Creation | AI generates complex, nested layouts based on user descriptions. | Yes | Simran Goel, Joshua Soh |
| Should | Iterative Interaction | AI remembers user interactions and refines components/layouts accordingly. | Yes | Gideon Zeru, Josh Mendel |
| Should | Semantic Code Comments | AI generates meaningful comments for exported code to enhance readability. | Yes | Joshua Soh, Josh Mendel |
| Should | Code Migration Assistant | Convert exported UI code into various frameworks as per the user’s choice. | Yes | Simran Goel, Gideon Zeru |
| Could | Integration Boilerplate Generator | AI generates boilerplate code for quick integration with other projects. | No | |
| Could | Custom Animation Workflow | Users describe animations in plain language, and AI generates CSS/JS code. | No | |
| Would | Semantic Layout Descriptions | AI provides both natural language explanations and structured output for layouts. | No |
Known Bugs List
Although the system works well overall, a few known issues have been observed. Below is a brief overview along with suggested workarounds or improvements.
| Bug | Details | Severity | Suggested Workaround |
|---|---|---|---|
| Inconsistent Layout/Positioning | In certain scenarios, the automatically generated layout may not position or size components properly, leading to minor visual discrepancies. | Medium | Refine or clarify layout instructions in your prompts, and use the iterative chat to adjust component positions after generation. |
| Limited YouTube IDs | The AI currently has a small set of known video IDs. If it inserts video components, they may not always align with your actual content. | Low | Replace placeholder YouTube IDs in the generated code with your own valid IDs, or remove the video element if not needed. |
| Initial Website Simplicity | Sometimes the first pass of the website is quite simple, lacking complex styling or advanced components, especially if the user’s instructions are brief. | Low | Provide more detailed requirements in your initial prompt or use additional prompts to enrich the design and styling. |
| Possible AI Confusion | The AI might produce unexpected results if given contradictory or irrelevant instructions. | Low | Keep prompts clear and consistent. If the design becomes inconsistent, reset or clarify the context and re-generate. |
Individual Contributions
Below is the breakdown of individual contributions for each work package.
| Work Packages | Simran Goel | Josh Mendel | Joshua Soh | Gideon |
|---|---|---|---|---|
| Research | 30% | 20% | 30% | 20% |
| UI Design | 25% | 25% | 25% | 25% |
| Coding | 25% | 25% | 25% | 25% |
| Testing | 20% | 30% | 20% | 30% |
| Website Template and Setup | 50% | 0% | 0% | 50% |
| Home | 100% | 0% | 0% | 0% |
| Videos | 20% | 25% | 25% | 30% |
| Requirement | 40% | 0% | 0% | 60% |
| Research | 25% | 0% | 75% | 0% |
| UI Design | 0% | 0% | 100% | 0% |
| System Design | 0% | 100% | 0% | 0% |
| Implementation | 0% | 100% | 0% | 0% |
| Testing | 15% | 65% | 0% | 20% |
| Evaluation + Future Work | 20% | 10% | 40% | 30% |
| User + Deployment Manuals | 20% | 0% | 50% | 30% |
| Legal Issues | 0% | 0% | 0% | 100% |
| Blog + Monthly Videos | 40% | 10% | 40% | 10% |
| OVERALL CONTRIBUTION | 25% | 25% | 25% | 25% |
While some sections are indeed more comprehensive than others, we will count each section equally. The main point is that each team member played an EQUAL PART in contributing to the success of Blueprint AI.
Critical Evaluation
We modelled our interface heavily on existing solutions like Wix and Visily,
ensuring that our UI remained user- friendly. We used commonly known symbols for our icons
(like undo-redo, download, etc). This enabled users to recognise and use the functionalities,
with a large majority of users having no issue navigating the system. Our user interface was
clean and functional, with a consistent colour theme.
One area to improve would be including a dark mode theme for Blueprint AI for user’s
who prefer working in dark modes.
Overall, our user-interface was a success and did not fall victim to common pitfalls of
user-interface designs like over-complicated interfaces. Our user-centered design process
ensured that the system is tailored for users.
Score: 8/10
We achieved all our Must Haves in the MoSCoW list, integrating AI successfully in generating front-end
designs through screenshots and text prompts. Furthermore, we included AI features like suggesting
additional relevant pages and offering multiple design options. These increased flexibility and the
use of AI to solve the issue of front-end development. The user also has a huge array of components to
choose for their front-end designs, increasing their customisation options.
One area to improve would be to enhance the amount of suggestions the AI can make for the user.
Currently, the AI suggests additional relevant pages, we can extend these AI suggestions by getting
AI suggestions with respect to theming, component layouts, etc. This would make the presence of AI
even more prominent and useful.
Overall, Blueprint AI is highly functional and has achieved what we set out to do, to empower
people to use AI for front-end development.
Score: 6.5/10
We did extensive testing on the OCR to make sure our screenshot-to-layout feature would yield maximal results.
Further testing was done with the various components on the canvas to ensure each component works as intended to.
User testing was also prevalent as we tested with numerous users of different programming levels.
This ensured that Blueprint AI can be used sufficiently with users.
One area to improve would be for more thorough AI generation testing. With all AI generated content,
it is prone to errors and many imperfections, regardless of models. This would mean that there were
indeed instances during testing, especially with imprecise text-prompts, that did not yield satisfactory
results on the first try. Though it is not in the scope of the project to train and fine-tune the AI
models we used, it would definitely have been worthwhile to investigate deeper into refining AI layout
generation.
Overall, while the use of AI can be unpredictable and difficult to control at times, Blueprint AI
can still function effectively despite these issues as users can edit components manually if need be.
Score: 6.5/10
The main performance bottleneck is the time in which the AI can generate a layout.
With complicated and complex prompts, we have encountered wait times that last minutes
(using OpenAI models). While this is dependent on the AI, some of the wait is due in part
to how comprehensive we have made the OCR and meta-prompts. However, to trade-off the accuracy
and precision of our OCR and meta-prompts in favour of time would not be wise. Since, a full layout
takes at most a few minutes to generate, as opposed to hours with traditional front-end software
development, compromising on the quality of layouts with a weaker OCR and meta-prompts does not
increase the benefit of time-savings proportionately.
However, editing components with AI is really fast, and could even be
faster than manually tweaking components, especially with larger changes.
Overall, with only one major performance bottleneck (whereby, the dependency is on the AI model),
Blueprint AI is mostly efficient in performing its tasks.
Score: 7/10
With Blueprint AI being a VSCode extension, this eliminates most hardware and software dependencies.
One area for improvement would be to allow for different AI models to be used, besides the current
choice of Open AI. With the ever growing presence of new AI companies and models like DeepSeek,
this could allow for greater compatibility with users who have tokens with other models.
Score: 8/10
Compared with v1.0,Blueprint AI’s modular design is highly welcomed. The code adheres
to best practices and SOLID principles, and is also well commented. The directory structure
is also much more logical and easier to navigate than v1.0. This makes Blueprint AI not only
easy to read and understand but also extendable. More components can be easily added, whilst
not breaking the drag and drop functionalities.
Score: 9/10
Project management went well as we delegated tasks equally and kept to
internal deadlines. There were no major conflicts working with each other and
we made sure to discuss changes as a team. Each week, we had an organised list of
deliverables for each person and made sure to be accountable to our designated buddies
in the group. We also communicated effectively in person and online.
Score: 10/10
Future Work / Plan
1.1 Refine the First Page Creator
Integrate Improved Text-Parsing Algorithms
Goal: Better handle user instructions that are verbose, loosely structured, or contain multiple requirements.
Technical Steps:
- Evaluate existing text-processing in blueprintAiPrompts.ts and enhance parsing logic to split user input into discrete tasks.
- Consider additional libraries or custom regex to parse bullet points, disclaimers, or multi-sentence instructions.
- Implement tests in blueprintAiClient.ts to validate text-parsing with real-world samples.
Extend Multiple Design Options Functionality
Goal: Offer users more than one layout/theme “preview” before committing to a design.
Technical Steps:
- Modify BlueprintAiService.ts to generate multiple valid JSON outputs instead of just one.
- Adjust the UI in AiSidebar.tsx and CreateWithImaginationComponent.tsx to let users cycle through previews.
- Implement caching of each design variant so users can switch back without re-running AI.
Incorporate a More Advanced Suggestion Engine
Goal: Provide real-time auto-completion and design hints.
Technical Steps:
- Build an incremental prompt mechanism in AiSidebar.tsx that sends partial user input to callOpenAiChat(...).
- Maintain an “in-progress user session state” in the React store (store.ts).
- Add usage metrics to evaluate suggestion effectiveness and refine the model.
1.2 Refine Screenshot-to-Design Flow
Improve OCR Extraction with Robust Pre-Processing
Goal: Enhance the accuracy of text recognition from user-provided screenshots.
Technical Steps:
- In ocr_service.py, add pipelines for contrast enhancement (e.g., Pillow or OpenCV filters) and binarization to improve input data for EasyOCR.
- Implement optional deskew or rotation correction for images that are tilted.
- Cache intermediate results (e.g., pre-processed images) in a temporary folder to reduce repeated processing costs.
Expand Recognition of Additional Elements
Goal: Identify icons, embedded diagrams, or non-text objects.
Technical Steps:
- Research add-on modules for EasyOCR or complementary libraries that detect bounding shapes or graphical elements.
- Store these recognized elements in the JSON output from pythonBridge.ts to feed into higher-level AI prompts.
- Provide placeholders in the final CraftJS JSON so icons or diagram placeholders can be replaced by the user later.
Enhance GUI Summarization AI
Goal: Support identification of nested layouts, modals, floating widgets, or dynamic interface elements from screenshots.
Technical Steps:
- Update GUI_SUMMARY_META_PROMPT in blueprintAiPrompts.ts to specifically prompt for nested structures or repeated components.
- Implement consistency checks between the “UI Summarization AI” and “GUI Summarization AI” responses, merging them into a more cohesive final representation.
- Add debug logs in getSummariesFromScreenshot.ts to track how well the AI can interpret dynamic elements (e.g., expanding sidebars or pop-up dialogs).
1.3 Improve Main Interface Usability
Provide Step-by-Step Tutorials for New Users
Goal: Reduce onboarding friction by guiding first-time users through the interface.
Technical Steps:
- Create a tutorial mode in MainInterface.tsx that highlights key features in the left sidebar (PrimarySidebar.tsx), properties sidebar (PropertiesSidebar.tsx), and the canvas.
- Store a “hasCompletedTutorial” flag in local storage or in the user’s extension settings (extensionContext.ts).
- Include a quick “tour” of dragging components, editing properties, and generating a first layout from text or a screenshot.
Capture In-Interface Feedback
Goal: Gather direct input from users about UI pain points or desired features.
Technical Steps:
- Add a “Feedback” button near the top of the interface that opens a modal (in AiFeaturesModal.tsx or a new file) for user comments.
- Automate sending feedback data to an internal or external logging service, ensuring privacy measures are in place.
Offer Richer Explanations of Design Choices
Goal: Help users understand why certain layout decisions were made by the AI.
Technical Steps:
- Extend FINAL_CRAFTJS_META_PROMPT to request a “rationale” for each major layout choice.
- Display that rationale in a new tab or collapsible section within the AiSidebar.tsx or the properties panel.
- Include user-selectable detail levels (e.g., “Basic Explanation” vs. “Technical Reasoning”).
2. Immediate Next Improvements
2.1 Enhance AI Iterative Chat Menu
Reference Multiple Canvas Components in a Single Chat Turn
Goal: Allow the AI to simultaneously modify or discuss multiple components, improving design iteration.
Technical Steps:
- In the AI chat flow (AiSidebar.tsx), add logic to gather references (IDs/names) of all selected components (e.g., BarChart1, BarChart2).
- Modify the messages in BlueprintAiService.ts to pass these references explicitly, so the AI can handle them in one prompt/response cycle.
Better Conversation Memory
Goal: Retain context across multiple user interactions and consecutive design changes.
Technical Steps:
- Maintain a conversation history in React state or via a local store that persists until the user resets or closes the project.
- Summarize prior user requests and AI responses to pass as “context” in the system prompt each time.
- Implement an upper bound on conversation length to avoid performance or cost issues with large chat histories.
Advanced Upvote/Downvote Logic
Goal: Let users easily “train” or guide AI suggestions during a single session.
Technical Steps:
- Include “thumbs up”/“thumbs down” icons in the iterative chat UI.
- Immediately incorporate that feedback into subsequent prompts, e.g., “The user disliked the color scheme last time, focus on cooler tones now.”
- Log aggregated feedback for debugging or for future model fine-tuning.
2.2 Broaden Component Library
Add Specialised Components
Goal: Facilitate common layouts like contact forms, product carousels, and dynamic data visualizations.
Technical Steps:
- Create new React components in webview-ui/src/components/UserComponents/ for each specialized feature.
- Include relevant property editors in PropertiesSidebar for each new component type.
- Provide demo usage in DemoPages to show how these components can be integrated.
Advanced Search/Filter in the Component Sidebar
Goal: Help users quickly locate custom or user-generated components.
Technical Steps:
- Implement a robust filter function in ElementsList.tsx that accounts for tags, categories, or user-defined metadata.
- Allow sorting by popularity or recency if usage metrics are collected.
- Display suggested components related to the user’s typed query or current page context.
Include More Interactive Components
Goal: Offer frequently requested UI patterns like accordions, tabbed panels, or tooltips.
Technical Steps:
- Develop these interactive components with proper event handling and state management in React.
- Test them in both desktop and mobile views to ensure responsiveness and accessibility.
- Document any important usage notes (e.g., limiting nested accordions to avoid confusion).
2.3 Expand Page & Layout Management
Introduce Page Dependency or Hierarchy Tracking
Goal: Allow certain pages to inherit layouts or designs from “parent” pages.
Technical Steps:
- Store hierarchical relationships in the Redux store (store.ts) or a new data structure.
- Auto-update child pages when a parent’s shared layout changes (e.g., a universal navigation bar).
- Provide visual cues or references in PagesTab.tsx to clarify parent-child relationships.
Create Templating Features
Goal: Let users save an existing page as a reusable template that can be applied to new pages or new projects.
Technical Steps:
- Add a “Save as Template” option in PagesTab.tsx or the main left sidebar.
- Store templates in a dedicated folder or database reference so they appear in a “Templates Library.”
- Provide versioning for templates, so updates to a template can be selectively applied to derived pages.
Richer Preview Thumbnails in Pages Sidebar
Goal: Show actual mini-snapshots rather than static placeholders.
Technical Steps:
- Use a lightweight offscreen rendering technique or canvas snapshot to capture each page’s layout in real time.
- Cache these previews to maintain fast performance when switching between pages.
- Provide a “Refresh Thumbnail” button to manually update snapshots if needed.
3. Long-Term Enhancements
3.1 AI-Driven Visual Tweaks
Automatic Color Palettes, Typography, and Animations
Goal: Reduce manual styling work by letting the AI suggest or auto-apply cohesive styles.
Technical Steps:
- Expand the “final layout” prompt to include style parameters such as font families, brand color patterns, and transitions.
- Implement a “Try Another Style” button that triggers re-generation of color/typography suggestions without altering the page structure.
- Provide usage examples in the documentation and integrate usage analytics to refine the style suggestions over time.
Quick Theme Updates
Goal: Let a user apply a full theme override across all pages with one click.
Technical Steps:
- Centralize theme properties (e.g., global CSS variables for color or spacing) in a single location.
- Expose a “Choose Theme” option in the main interface that triggers a global re-render with updated styles.
- Maintain a library of pre-set themes in webview-ui/src/themes/ or a similar structure.
Visual Consistency Checks
Goal: Ensure brand consistency or adherence to design system guidelines.
Technical Steps:
- Implement “consistency check” prompts in BlueprintAiService.ts that highlight or auto-correct out-of-place colors or fonts.
- Provide real-time notifications if a newly added component conflicts with the existing style guidelines.
- Integrate advanced color harmony checks (e.g., complementary or analogous color palettes) to avoid visual clashes.
3.2 Multi-Page Generation & Linking
Bulk Page Generation
Goal: Generate multiple related pages (Home, Products, About, etc.) in a single AI request for cohesive site designs.
Technical Steps:
- Extend getBlueprintLayout(...) to handle an array of page descriptions, returning JSON for each.
- Provide an interface in CreateWithImaginationComponent.tsx to accept multiple page prompts at once.
- Auto-generate a site map that links each newly created page within a shared navigation system.
3.3 Collaboration & Versioning Features
Multi-User Editing with Conflict Resolution
Goal: Let teams design pages collaboratively in real time.
Technical Steps:
- Introduce a real-time sync layer (e.g., WebSockets or a cloud-based real-time database) to broadcast changes.
- Use operational transforms or CRDTs (Conflict-free Replicated Data Types) to handle simultaneous component modifications.
- Provide user identity tracking so each user sees who is editing which component at any given time.
Version History System
Goal: Offer the ability to roll back or compare previous states of a page.
Technical Steps:
- Store diffs or snapshots of the CraftJS JSON layout whenever a major change is committed.
- Present a timeline UI where users can browse older versions, see the changes, and revert if necessary.
- Add checks to ensure that rolling back does not break new references or newly introduced components.
Integration with External Git Repositories
Goal: Simplify continuous integration (CI) and team-based code reviews.
Technical Steps:
- Provide an “Export to Git” option in ExportMenu.tsx, prompting for repository URL and authentication.
- Auto-commit the generated code or relevant JSON files to the specified branch.
- Potentially link each version or user session to a Git commit, enabling standard PR workflows for reviewing changes.
4. Prioritised Tasks
4.1 Performance Optimisation
Caching Partial AI Results
Goal: Speed up repeated AI calls for similar or iterative user prompts.
Technical Steps:
- Store intermediate OCR results in memory or on disk when the user is refining the same screenshot.
- Cache previously generated layout JSON variants in a dictionary keyed by user prompt or page name.
- In python-ocr/ocr_service.py, leverage concurrency or async frameworks to serve repeated requests faster.
Streamline python-ocr Services
Goal: Prevent timeouts or crashes with high-resolution images.
Technical Steps:
- Optimize image reading (e.g., handle scaling or chunked processing) to avoid memory spikes.
- Use a queue system to process multiple OCR tasks sequentially if the extension must handle batch processing.
- Monitor resource usage (CPU/RAM) in real time to gracefully degrade image resolution if needed.
Optimize JS/TS Rendering in the CraftJS Canvas
Goal: Ensure that drag-and-drop, resizing, and layering remain fluid, even on complex pages.
Technical Steps:
- Profile React performance in MainInterface.tsx and RenderNode.tsx to identify unnecessary re-renders.
- Implement memoization or virtualization for large component hierarchies.
- Use code-splitting or lazy loading for heavy modules, especially in advanced AI features.
4.2 Extended Export Menu
Expand .NET / Cross-Platform Capability
Goal: Offer robust integrations with Blazor, ASP.NET Core, or other .NET frameworks.
Technical Steps:
- In codeGenerator.ts, build additional code templates that output .razor files or .cshtml partials.
- Create a config screen for selecting Blazor vs. ASP.NET Core so the user sees relevant file structures (e.g., Program.cs, .csproj).
- Provide post-export instructions in a readme about how to integrate the generated code into an existing .NET project.
Optional “Lite” or “Full-Blown” Exports
Goal: Give users control over the complexity and size of their exported project.
Technical Steps:
- In the export settings UI, add radio buttons for “Lite,” “Standard,” and “Full-Blown.”
- “Lite” might omit advanced animations and large library imports, focusing on minimal file size.
- “Full-Blown” includes extra JS transitions, thorough in-code documentation, and sample tests.
4.3 Advanced Testing and QA
Automated Unit Tests for Generated Pages
Goal: Validate layout integrity and basic functionality each time a new page is generated.
Technical Steps:
- Generate Jest (or similar framework) test files alongside each exported HTML/CSS/JS.
- Check for crucial elements (navigation bars, footers, container IDs) to ensure they match the AI’s expected structure.
- Integrate with a continuous testing pipeline if the user’s project is already set up with CI/CD.
Integration Tests for AI-Driven Functionalities
Goal: Confirm the AI flow remains stable across updates, especially with OCR or iterative chat.
Technical Steps:
- Script end-to-end tests that simulate a user providing a screenshot, verifying the returned UI summary or layout meets a certain confidence threshold.
- Monitor prompt/response times to ensure performance targets are being met.
- Cover advanced features like multi-component edits in a single AI chat turn, capturing potential regression issues.
One-Click Test Runner
Goal: Make it effortless for users (and devs) to run the entire test suite within the extension’s UI.
Technical Steps:
- Integrate a “Run Tests Now” button in the main interface or extension panel that triggers a script (e.g., npm run test or pytest).
- Display pass/fail results in a modal or side panel, linking to test logs for deeper investigation.
- Store historical test runs in a simple JSON or SQLite DB so developers can see if a recent change introduced new errors.
5. Accessibility & Inclusivity
5.1 Keyboard Navigation
Enhancing Navigation via Keyboard
Goal: Ensure users can fully navigate the interface using only a keyboard.
Technical Steps:
- Implement focus management and keyboard event handlers for all interactive elements.
- Test the navigation order to ensure it's intuitive and sequential.
- Provide clear visual cues for focusable elements, such as adding outlines or background highlights.
Screen Reader Support
Goal: Make sure the interface is fully accessible to visually impaired users using screen readers.
Technical Steps:
- Add descriptive ARIA labels and roles to key elements to provide context.
- Ensure dynamic updates to the page are announced by the screen reader (e.g., new components or form validation).
- Test accessibility with popular screen readers like NVDA and JAWS.
5.2 Colour Contrast and Text Resizing
Improved Color Contrast
Goal: Ensure text and interactive elements are distinguishable for users with visual impairments.
Technical Steps:
- Use WCAG guidelines to ensure sufficient contrast between text and background colors.
- Test color combinations for accessibility using contrast ratio tools.
- Offer users an option to switch to a high-contrast theme for better visibility.
Text Resizing
Goal: Ensure that text can be resized without breaking the layout.
Technical Steps:
- Use relative units like rem and em for font sizes instead of fixed pixels.
- Ensure the layout adapts when users increase or decrease text size in their browser settings.
6. Security & Compliance
6.1 Data Encryption
Encrypt Sensitive User Data
Goal: Protect user data from unauthorized access by implementing encryption.
Technical Steps:
- Implement end-to-end encryption for any data transmitted between the user’s device and the server.
- Use AES-256 encryption for storing sensitive data at rest.
- Regularly audit encryption practices to ensure they are up to industry standards.
Multi-Factor Authentication (MFA)
Goal: Add an extra layer of security to user accounts.
Technical Steps:
- Implement support for multi-factor authentication (MFA) using email or app-based tokens.
- Provide a user-friendly MFA setup process during account registration or login.
- Ensure the system supports recovery options if users lose access to their MFA method.
6.2 Regular Security Audits
Penetration Testing
Goal: Identify and fix security vulnerabilities proactively.
Technical Steps:
- Conduct regular penetration testing to identify weaknesses in the application.
- Automate vulnerability scanning to detect common security flaws, such as SQL injection and cross-site scripting (XSS).
- Implement a bug bounty program to encourage external security researchers to report issues.
Compliance with Data Privacy Laws
Goal: Ensure compliance with relevant data protection regulations (e.g., GDPR, CCPA).
Technical Steps:
- Regularly audit and update data handling practices to comply with evolving regulations.
- Implement features that allow users to manage their privacy preferences (e.g., data deletion requests, consent management).
- Provide clear and transparent privacy policies within the application.
7. Plugin Ecosystem & Community Extensions
7.1 Plugin Marketplace
Build a Centralized Plugin Marketplace
Goal: Provide a one-stop shop for users to find and install plugins.
Technical Steps:
- Develop a web-based marketplace where developers can publish their plugins.
- Implement a review and rating system so users can provide feedback on plugins.
- Allow users to filter plugins by categories such as functionality or compatibility.
Extend Plugin API
Goal: Make the plugin development process more flexible and powerful.
Technical Steps:
- Enhance the plugin API to allow developers to interact with additional parts of the application, such as the UI or AI components.
- Provide detailed documentation and examples to help developers create and publish plugins.
- Introduce a versioning system to ensure compatibility between the application and plugins.
7.2 Open Source Community Contribution
Encourage Open Source Contributions
Goal: Foster a thriving community of developers who contribute to the plugin ecosystem.
Technical Steps:
- Provide clear guidelines for contributing to the project, including code style and submission processes.
- Host the codebase for plugins and extensions on popular platforms like GitHub to facilitate collaboration.
- Offer incentives for contributors, such as recognition in the community or potential monetary rewards.
Plugin Compatibility with Multiple Frameworks
Goal: Allow plugins to work across different web development frameworks.
Technical Steps:
- Ensure plugins can be built and used across popular JavaScript frameworks (e.g., React, Vue.js, Angular).
- Create plugin wrappers or adapters to make integration easier for developers.
- Provide example plugins built with different frameworks to guide developers.