Self Modifying IDE using MeTTa

chevron-icon
RFP Proposals
Top
chevron-icon
project-presentation-img
Expert Rating 3.0
olokoji
Project Owner

Self Modifying IDE using MeTTa

Expert Rating

3.0

Overview

We propose to develop an AI-powered Integrated Development Environment (IDE) that leverages MeTTa's metaprogramming capabilities to enable self-modifying source code. This IDE will allow non-developer and developer users to interact with software programs that adapt themselves to fulfill user requirements dynamically. By integrating MeTTa into the IDE, we will create a platform where the source code adjusts itself based on user inputs, making programming more accessible, efficient, and alive. The project will involve forking and customizing an existing IDE (e.g., VS Code, Cursor AI, or Void) and incorporating MeTTa's features to achieve self-modification of programs.

RFP Guidelines

Develop interesting demos in MeTTa

Complete & Awarded
  • Type SingularityNET RFP
  • Total RFP Funding $100,000 USD
  • Proposals 21
  • Awarded Projects 4
author-img
SingularityNET
Aug. 12, 2024

Create educational and/or useful demos using SingularityNET's own MeTTa programming language. This RFP aims at bringing more community adoption of MeTTa and engagement within our ecosystem, and to demonstrate and expand the utility of MeTTa. Researchers must maintain demos for a minimum of one year.

Proposal Description

Project details

Executive Summary

We propose to develop an AI-powered Integrated Development Environment (IDE) that leverages MeTTa's metaprogramming capabilities to enable self-modifying source code. This IDE will allow non-developer users to interact with software programs that adapt themselves to fulfill user requirements dynamically. By integrating MeTTa into the IDE, we will create a platform where the source code adjusts itself based on user inputs, making programming more accessible, efficient, and alive. The project will involve forking and customizing an existing IDE (e.g., VS Code, Cursor AI, or Void) and incorporating MeTTa's features to achieve self-modification of programs.

2. Objectives

Primary Objectives

  • Develop a Self-Modifying IDE: Create an IDE that can automatically adjust and modify source code based on user needs without requiring programming expertise.

  • Integrate MeTTa into the IDE: Utilize MeTTa's metaprogramming and logical reasoning capabilities to enable dynamic code modification within the IDE.

  • Enhance Accessibility: Design the IDE to be user-friendly for non-developers, lowering the barrier to creating and modifying software programs.

Secondary Objectives

  • Provide Educational Resources: Develop documentation and tutorials to help users understand and effectively use the IDE.

  • Ensure Extensibility: Build the IDE in a modular fashion to allow for future enhancements and integrations.

3. Key Deliverables

  1. Self-Modifying IDE Prototype:

    • A functional IDE that allows users to input requirements, and the IDE adjusts the source code accordingly.

    • Integration of MeTTa for code generation, modification, and logical reasoning.

  2. User Interface Design:

    • An intuitive UI that enables non-developers to interact with the IDE seamlessly.

    • Features such as natural language input and visual programming elements.

  3. Documentation and Tutorials:

    • Comprehensive user manuals and guides.

    • Tutorials demonstrating how to use the IDE for various scenarios.

  4. Open-Source Code Repository:

    • Publicly available codebase with proper documentation.

    • Compliance with open-source licensing.

  5. Technical Report:

    • Detailed explanation of the development process, architecture, and technical challenges overcome.

4. Scope of Work

4.1 Core Features

AI-Powered Code Modification

  • Dynamic Code Generation: The IDE can generate code snippets based on user requirements provided in natural language.

  • Self-Modifying Source Code: Programs can adjust their own code during runtime to meet changing user needs.

  • Error Detection and Correction: The IDE can identify potential issues in the code and automatically correct them.

User-Friendly Interface

  • Natural Language Processing (NLP): Users can input requirements or changes in plain language.

  • Visual Programming Elements: Drag-and-drop components for users to build or modify programs visually.

  • Real-Time Feedback: Immediate visual or textual feedback on how user inputs affect the code.

Integration of MeTTa

  • Metaprogramming Capabilities: Utilize MeTTa's features to enable self-modifying code within the IDE.

  • Logical Reasoning: Allow the IDE to reason about user requirements and make intelligent code adjustments.

  • Pattern Matching and Transformation: Implement MeTTa's pattern matching for code analysis and transformation.

4.2 Forking an Existing IDE

  • Selection of Base IDE: Choose an open-source IDE such as VS Code, Cursor AI, or Void as the foundation.

  • Customization:

    • Plugin Development: Create custom plugins or extensions to incorporate MeTTa.

    • UI/UX Enhancements: Modify the interface to cater to non-developers.

    • Performance Optimization: Ensure that the added features do not hinder the IDE's performance.

4.3 Demonstration Scenarios

  • Scenario 1: Building a Simple Application

    • A user describes an application they want (e.g., "I need a calculator that can perform basic arithmetic and show the history of calculations").

    • The IDE generates the code for the application, adjusts it based on further user feedback, and provides a runnable program.

  • Scenario 2: Modifying an Existing Program

    • A user wants to add a feature to an existing program (e.g., "Add a save functionality to this text editor").

    • The IDE modifies the source code to include the new feature.

  • Scenario 3: Runtime Adaptation

    • The program adjusts its behavior during execution based on user interactions or environmental changes, facilitated by MeTTa's self-modifying capabilities.

4.4 Documentation and Educational Resources

  • User Manuals: Step-by-step guides on using the IDE's features.

  • Video Tutorials: Visual demonstrations of the IDE in action.

  • Developer Guides: For those interested in extending or customizing the IDE further.

5. Functional Requirements

5.1 Core Functionalities

Natural Language Understanding

  • NLP Integration: Ability to parse and understand user instructions provided in natural language.

  • Context Awareness: Maintain context across multiple user inputs to make coherent code adjustments.

Code Generation and Modification

  • Code Synthesis: Generate syntactically correct and functional code snippets.

  • Code Refactoring: Improve existing code based on best practices or performance considerations.

  • Version Control Integration: Keep track of code changes and allow users to revert if necessary.

MeTTa Integration

  • Metaprogramming Engine: Use MeTTa to handle code manipulation tasks.

  • Logical Inference: Apply logical reasoning to resolve ambiguities in user instructions.

  • Pattern Matching: Identify code patterns that need modification based on user needs.

5.2 Performance and Scalability

  • Responsive UI: Ensure the IDE remains responsive during code generation and modification processes.

  • Efficient Processing: Optimize the integration of MeTTa to handle large codebases without significant delays.

  • Scalability: Design the system to accommodate additional features and increased user demands.

6. Non-Functional Requirements

  • Usability:

    • Intuitive Design: The IDE should be easy to navigate for users without programming experience.

    • Accessibility: Support for different languages and accessibility options.

  • Reliability:

    • Error Handling: robust mechanisms to handle exceptions and provide meaningful feedback to the user.

    • Stability: The IDE should operate consistently without crashes or data loss.

  • Security:

    • Sandboxing: Run generated code in a secure environment to prevent malicious activities.

    • Privacy: Protect user data and inputs from unauthorized access.

  • Maintainability:

    • Modular Architecture: Use a modular design to facilitate updates and maintenance.

    • Documentation: Maintain clear and comprehensive documentation for ongoing support.

Additional Technical Details

Integration of MeTTa into the IDE

  • Plugin Architecture: Develop MeTTa integration as a plugin or extension to the base IDE, ensuring modularity and ease of maintenance.

  • Inter-process Communication: Utilize protocols for communication between the IDE frontend and the MeTTa engine backend.

  • Custom Language Server: Implement a language server for MeTTa to provide features like autocomplete, syntax checking, and error diagnostics.

Natural Language Processing

  • NLP Libraries: Leverage existing NLP frameworks (e.g., spaCy, NLTK) to parse user inputs.

  • Intent Recognition: Build models to understand the user's intent and map it to code modifications.

  • Dialogue Management: Maintain context in conversations with the user to handle complex interactions.

User Interface Enhancements

  • Interactive Code Visualization: Display code changes in real-time with visual indicators.

  • Guided Workflows: Provide step-by-step assistance for common tasks.

  • Customization Options: Allow users to personalize the IDE's appearance and behavior.

Conclusion

This proposal outlines the development of an AI-powered, self-modifying IDE that leverages MeTTa's unique capabilities to make programming more accessible to non-developers. By integrating advanced metaprogramming and logical reasoning features into a user-friendly interface, we aim to contribute significantly to the SingularityNET ecosystem and push the boundaries of AGI development. Our team's expertise and carefully planned approach position us well to achieve these objectives successfully.

 

Open Source Licensing

Apache License

Apache 2.0 License and Project Connection

The Apache 2.0 License is ideal for our self-modifying IDE project as it allows free use, modification, and distribution while protecting against patent-related issues. It ensures users and contributors can safely utilize and build upon the IDE, especially with MeTTa integration.

License Details

  1. Usage and Modification: Users can use and adapt the IDE freely for personal or commercial purposes.
  2. Attribution: Copies or modifications must include the license and attribution to the original developers.
  3. Patent Protection: Contributors provide a royalty-free license for patents essential to the software.
  4. No Warranty: The software is provided “as is,” limiting liability.

Non-Apache Components

Third-party libraries (e.g., NLP tools like SpaCy or NLTK) retain their original licenses. These must be documented in a THIRD_PARTY_NOTICES file.

Apache 2.0 fosters innovation and adoption while safeguarding both contributors and users.

Proposal Video

Not Avaliable Yet

Check back later during the Feedback & Selection period for the RFP that is proposal is applied to.

  • Total Milestones

    5

  • Total Budget

    $25,000 USD

  • Last Updated

    8 Dec 2024

Milestone 1 - Requirements Analysis and Environment Setup

Description

Conduct a detailed analysis of requirements finalize the selection of the base IDE and configure the development environment. This includes setting up tools frameworks and repositories for efficient collaboration.

Deliverables

Project Plan Document. Forked IDE repository with initial configurations. Detailed Requirements specifications on GitHub

Budget

$6,000 USD

Success Criterion

Approval of the project plan by stakeholders. Functional development environment with all dependencies installed. Repository setup with initial version control practices.

Milestone 2 - Integration of MeTTa and Core Functionalities.

Description

This phase focuses on integrating MeTTa’s metaprogramming capabilities into the IDE and developing its core functionalities. It includes creating a plugin or module for MeTTa enabling dynamic code generation and showcasing self-modifying capabilities. Logical reasoning and error correction features are implemented to support intelligent program modifications.

Deliverables

1. MeTTa Plugin/Module: Integrated into the IDE supporting metaprogramming and logical reasoning. 2. Demonstration Use Cases: Scripts for scenarios like dynamic program creation (e.g. a calculator application that self-adjusts based on user input). 3. Error Detection & Correction Module: A feature to identify and rectify common coding errors dynamically.

Budget

$8,000 USD

Success Criterion

1. Validation of MeTTa integration through successful execution of at least two demonstration scenarios. 2. Stable operation of the error detection and correction feature in test environments.

Milestone 3 - UI/UX and NLP Integration

Description

This milestone delivers an intuitive and user-friendly interface designed specifically for non-developers and integrates NLP capabilities to enable natural language input. The goal is to make complex programming tasks accessible through visual programming and conversational commands.

Deliverables

1. Interactive UI with Visual Programming Support: Includes drag-and-drop elements real-time visual feedback and guided workflows for common programming tasks. 2. NLP Integration Module: Processes user inputs in natural language and translates them into actionable programming instructions. 3. Predefined Workflow Examples: Demonstrations of NLP-driven workflows (e.g. "Create a to-do list app" or "Add a save functionality to a text editor").

Budget

$4,000 USD

Success Criterion

1. Usability testing results with 80% of participants rating the interface as intuitive and user-friendly. 2. Successful execution of predefined NLP-driven workflows, with accurate code generation and modifications.

Milestone 4 - Testing Optimization and Feature Finalization

Description

Rigorous testing ensures the IDE is stable reliable and efficient. Performance optimizations are applied to enhance usability scalability and responsiveness. This milestone ensures all core functionalities are production-ready.

Deliverables

1. Comprehensive Testing Report: Documentation of test cases results and resolved issues covering functional integration and stress testing. 2. Optimized Performance Metrics: Detailed benchmarks (e.g. under 500ms response time for code generation and editing tasks). 3. Feature-Complete IDE Prototype: Fully functional IDE with stable operation across test cases.

Budget

$3,000 USD

Success Criterion

1. Resolution of 95% of identified critical bugs. 2. Over 50 testers with diverse profiles rating above 70% 3. Performance benchmarks achieved, ensuring smooth and responsive operation under typical use scenarios.

Milestone 5 - Documentation Tutorials and Deployment

Description

Comprehensive documentation and educational resources ensure users and developers can effectively utilize and contribute to the IDE. The milestone concludes with the deployment of the prototype for public access.

Deliverables

1. User Guide and Developer Manual: Step-by-step instructions for using and customizing the IDE. 2. Tutorial Videos: Three short videos demonstrating installation basic workflows and advanced customization. 3. Open-Source Release: IDE repository published on a platform like GitHub including proper open-source licensing and contribution guidelines.

Budget

$4,000 USD

Success Criterion

1. Repository available to the public, complete with all supporting materials. 2. Early adopter feedback indicating ease of understanding and usefulness of provided documentation and tutorials.

Join the Discussion (0)

Expert Ratings

Reviews & Ratings

Group Expert Rating (Final)

Overall

3.0

  • Feasibility 3.3
  • Desirabilty 2.7
  • Usefulness 3.0
  • Expert Review 1

    Overall

    3.0

    • Compliance with RFP requirements 4.0
    • Solution details and team expertise 3.0
    • Value for money 3.0
    Details needed

    Innovative use of MeTTa. Details on NLP implementation and the feasibility of MeTTa integration into an existing IDE are unclear.

  • Expert Review 2

    Overall

    4.0

    • Compliance with RFP requirements 4.0
    • Solution details and team expertise 3.0
    • Value for money 4.0

  • Expert Review 3

    Overall

    2.0

    • Compliance with RFP requirements 2.0
    • Solution details and team expertise 2.0
    • Value for money 2.0
    This is a great aspirational project and it will be do-able in the not super distant future, but it's too big/hard to be a simple metta demo for the near term,

    E.g. the capability for metaprogramming and program analytics in MeTTa is not fleshed out in practice and thoroughly developed yet, and doing this is a lot of work apart from anything related to the practicalities of an IDE

feedback_icon