AI coding assistant with context management for structured prompt interaction, variable management, and GitHub integration. Helps with code reviews, refactoring, and generating unit tests. Includes a learning mode for AI prompt efficiency.
Features
Structured Prompt Creation
Provides a way to generate prompts from structured blocks of text, enabling reuse and forwarding of blocks to other prompts within the same document.
Context Management
Allows for handling multiple tasks by managing context between prompts. This includes forwarding previous answers as context for subsequent prompts.
Code Editor Interaction
Supports integration with code editors to streamline workflow and enhance development efficiency by interacting directly with coding environments.
Variable Replacement & Suggestion
Enables replacement and suggestion of variables across all prompts, aiding consistent usage and management of variable data.
Preset Templates
Provides prebuilt templates for common coding tasks, reducing setup time and facilitating ease of use.
Prompt formatting
Automatically detects the programming language and formats code output for better reading and understanding.
Language Model Adaptation
Tailors prompts specifically for language models like GPT-4, ensuring better performance and output accuracy.
Project Portal
Offers a centralized portal to manage projects, providing user-friendly tracking of prompt iterations and model results.
Next.js Use Case
Generate new features, refactor code, and more with Next.js. Tags include React, JavaScript, Fullstack, Database, and Frontend.
SQL Use Case
Generate SQL scripts for data extraction, database migration, and more. Tags include SELECT, UPDATE, JOIN.
Python Use Case
Write Python scripts to process CSV files using pandas, or build backend services. Tags include Python, pandas, CSV, and Data Analysis.
Implementing a New Feature
Examples include making a new page for listing use cases and adding a new setting for theme toggling. Provides task instructions and code context.
Fixing a Bug
Example includes fixing a bug where the user is unable to login, with task instructions and code context.
Refactoring
Examples include refactoring components to avoid duplicated code and to extract a reusable component. Provides task instructions and code context.
Tedious Tasks
ChatGPT can assist with bulk editing, renaming variables, and reformatting code, saving time and effort in task execution.
Added keyboard shortcuts
Includes shortcuts for creating new tasks, copying text, sending follow-up questions, and more.
Filter text in content list
Allows users to filter text in the content list for better organization.
OpenAI streaming fix
Resolved issues with OpenAI streaming status to improve model streaming functionality.
Data Preparation
Assists in preparing datasets for analysis by providing code suggestions for loading and transforming data.
Data Analysis
Offers code suggestions and templates for performing analysis, helping to quickly generate insights from datasets.
Visualization Code Generation
Generates code for visualizing data, making it easier to create graphs and charts to represent data visually.
Machine Learning Integration
Provides code recommendations for applying machine learning algorithms to datasets for predictive analysis.
Code Explanation
Explains complex code snippets, making it easier to understand the logic and function of difficult Python code.
Code Suggestions
Provides code suggestions and snippets for building applications with Next.js, including API routes and dynamic imports.
Integration with IDEs
Integrates with popular IDEs to offer seamless coding experience, allowing you to generate Next.js code directly within your development environment.
Custom Hooks
Offers examples of custom hooks for handling specific functionalities in Next.js apps, streamlining the development process.
Code Context Management
Helps manage source code context to craft prompts easily for SQL script generation.
Prompt Management
Allows users to manage multiple prompts effectively for different SQL-related tasks.
GPT-4.0 & Claude 3.5 Integration
Integrates with GPT-4.0 and Claude 3.5 for advanced natural language processing capabilities.
Custom Transformations
Provides tools to create custom transformations for complex SQL tasks.
Token-Level Tracking
Tracks tokens at a granular level to optimize and understand prompt usage.
API Integrations
Offers integration capabilities with various third-party APIs for enhanced functionality.
No Black Box
Ensures transparency in SQL script generation, allowing user oversight and modifications.
Privacy and Compliance
Ensures data is classified according to sensitivity, categorized as Public, Internal Only, Confidential, or Restricted. AI technologies are implemented to maintain data privacy and compliance with regulations.
Enterprise-grade Security
Uses ChatGPT Enterprise to provide high-level security and privacy for AI operations. Designed to meet enterprise needs with encryption and secure data practices.
Local Deployment
Allows companies to deploy AI models locally, providing more control over data and potentially reducing licensing costs. Helps in customizing AI solutions at the local level.
IP Risk Management
Focuses on managing intellectual property risks by developing strategies to prevent AI models from infringing on existing IPs. Educates employees about these risks for better awareness.
Code Context Management
Helps developers manage source code context to generate accurate prompts for coding tasks.
Custom Instructions
Allows users to add custom instructions for specific coding needs.
Complex Tasks
Supports complex coding tasks by enabling management of different projects and tasks in a single interface.
AI Implementations
Leverages AI models like GPT-4 and Claude 3.5 to assist in Python code generation.
Token Limit Tracking
Tracks token limits to ensure the efficiency and accuracy of generated code.
No Black Box
Provides transparency in how AI implementations work and generate code.
code2prompt
Minimal tool that converts code into a natural language prompt easily, aiding in coding queries.
GoogleChromeToCSVTable
Chrome extension that converts a selected table in Google Chrome to CSV format, facilitating easier data manipulation in spreadsheets.
hub-install
Package management command tool to install, update, and manage hubs effectively.
RegexAsPromptsParserModule
Tool that parses regular expressions into readable text, helping in understanding and constructing regex patterns.
ps4pkgr
Package manager tool specifically for managing PS4 packages, suitable for organizing game packages efficiently.
JiraCLI
Command line tool for managing Jira tasks directly from the terminal, which increases productivity for Jira users.
confluenceCLI
CLI tool for interacting with Confluence, designed to manage content and spaces without leaving the terminal.
csvexplorer
Tool for easy navigation and exploration of CSV files directly from the terminal, simplifying data analysis tasks.
csvjoin
Utility for combining CSV files by joint columns, easing data merging tasks in data processing workflows.
Token Calculator
Calculates the token usage for GPT-4o and Claude models based on user input and output. This helps in estimating the API cost by calculating the number of input and output tokens used.
Model Comparison
Provides a comparison of different models like GPT-4o, Claude 3.5 S, and Claude 3.5 SR, detailing their token limits and associated costs to help users choose the right model for their needs.
Token Limit Information
Displays the maximum input and output token limits for various models, ensuring that users can optimize their prompt usage within model boundaries.
Local Deployment
You can run the model locally on machines with more than 32GB RAM, making it useful for both individual developers and small teams. This ensures better privacy and data security without relying on cloud services.
Code Generation Capability
The model supports few-shot programming languages and generates advanced code sequences, optimizing code-generation tasks. It’s Apache 2.0 licensed, making it suitable for commercial use.
Practical Coding Tasks
The model performs well in data extraction and visualization tasks, useful for library code and terminal-based projects. It handles many types of programming tasks, ideal for running tasks locally during code development and completion.
16x Prompt Tool Interface
This tool helps developers manage source code context, handling complex code structures more efficiently. It allows for model comparison, providing developers with flexibility in model selection.
Performance Benchmark
Claude Sonnet 3.5 shows improved performance on coding benchmarks, surpassing previous models in code editing tasks.
Feedback and Code Quality
Users can provide feedback on coding suggestions, and the platform supports maintaining code quality.
Better Results with 16x Prompt
The 16x Prompt tool helps improve code generation and editing, leading to enhanced results when using Claude Sonnet 3.5.
Inline Editing
Use AI-powered suggestions directly within the editor to enhance coding efficiency.
Code Completion
Get contextual code suggestions as you type to speed up your workflow.
Debugging Assistance
AI tools help identify and fix errors within your code, providing instantaneous feedback and solutions.
Refactoring
Automate the process of restructuring existing code without changing its behavior, improving readability and reducing complexity.
Drafting and Revisions
Utilize AI for initial drafts and subsequent revisions, enhancing the development cycle through iteration.