Coding & Development

PromptEnhancer is an open-source prompt-rewriting utility developed by Tencent Hunyuan, designed to enhance text-to-image models and image-to-image editing tasks. It takes an input prompt and restructures it while preserving the original intent, producing clearer, more structured prompts for downstream image generation. Key features include dual-mode support for both text-to-image prompt enhancement and image-to-image editing instruction refinement with visual context. The tool ensures intent preservation, maintaining all key elements like subject, action, style, and attributes. It also boasts robust parsing with a multi-level fallback mechanism and flexible deployment options, supporting full-precision (7B/32B), quantized (GGUF), and vision-language models for efficient inference.

promptoftheyear is an open-source collection of impactful prompts designed for Large Language Models (LLMs). It serves as a valuable resource for individuals looking to enhance their prompt engineering skills across diverse domains. The collection includes prompts for job hunting, essay and research, language learning, code generation, image generation, mental health support, music creation, marketing, and data analysis. Each prompt in the collection includes a backlink to acknowledge its original author, ensuring proper attribution. The repository also provides access to a prompts.csv file containing the complete collection and suggests free chatbots for interactive use, allowing users to see the prompts in action.

Platypus offers a comprehensive set of code and resources for fine-tuning large language models (LLMs) from the Platypus family. Utilizing LoRA (Low-Rank Adaptation) and PEFT (Parameter-Efficient Fine-Tuning) techniques, it enables efficient and powerful refinement of models based on the LLaMA and LLaMa-2 transformer architectures. The repository includes scripts for fine-tuning, merging LoRA weights, and performing inference. It also provides a data pipeline for refining datasets, including keyword search, duplicate removal, and similarity checks using SentenceTransformers embeddings. Platypus is designed to be multi-GPU friendly, supporting both model and data parallelism, and offers guidance on reproducing benchmark evaluation results.

PRPs-agentic-eng offers a comprehensive collection of prompts, workflows, and resources for agentic engineering, specifically designed for AI-assisted development using Claude Code. It introduces the Product Requirement Prompt (PRP) methodology, which combines traditional PRD elements with AI-critical layers like context, patterns, and validation. The tool provides core workflow commands for interactive PRD generation, implementation planning, and execution with validation loops. It also includes commands for issue investigation, debugging, smart commits, and PR creation/review. A standout feature is the 'Ralph Loop' for autonomous execution, allowing Claude to iterate and self-correct until all validations pass, aiming for one-pass implementation success.

PPLM (Plug and Play Language Model) is an open-source implementation designed to steer the topic and attributes of GPT-2 models. This tool allows users to flexibly integrate one or more small attribute models to guide the large, unconditional language model. A key advantage of PPLM is that it utilizes the language model as-is, meaning no training or fine-tuning is necessary. This feature is particularly beneficial for researchers and developers who may not have extensive hardware resources to train large language models. The project includes code for running PPLM, a demo, and a Colab notebook for easy setup and experimentation. It supports both bag-of-words and discriminator-based sentiment control for fine-grained text generation.

ToolBench is an open-source platform designed to advance the capabilities of large language models (LLMs) in tool learning. It focuses on constructing large-scale, high-quality instruction tuning data, automatically generated using ChatGPT (gpt-3.5-turbo-16k) with enhanced function call capabilities. The platform includes a vast collection of 16,464 real-world REST APIs from RapidAPI, curated instructions for both single-tool and multi-tool scenarios, and a novel depth-first search based decision tree (DFSDT) for answer annotation. ToolBench also provides the corresponding training and evaluation scripts, along with a capable model called ToolLLaMA, fine-tuned on its dataset. It aims to enable open-source LLMs to master thousands of diverse real-world APIs, offering a comprehensive environment for research and development.

TruLens is an open-source framework designed for systematically evaluating and tracking Large Language Model (LLM) experiments and AI agents. It offers fine-grained, stack-agnostic instrumentation, allowing developers to understand the performance of their LLM applications, including prompts, models, retrievers, and knowledge sources. The tool provides comprehensive evaluations to help identify failure modes and iterate on improvements. Key concepts include Feedback Functions, The RAG Triad, and Honest, Harmless, and Helpful Evals. TruLens integrates into the development workflow, enabling users to connect instrumentation and logging, define necessary feedback functions, and compare different versions of their applications through an easy-to-use user interface. It is installed via a simple pip package.

PromptDen is a comprehensive platform designed for AI prompt sharing and discovery, catering to a wide range of AI models such as ChatGPT, Gemini, MidJourney, and Stable Diffusion. Users can explore, discover, and share prompts for both text and image generation. The platform fosters a community for prompt engineering, inspiration, and collaboration. Key features include PromptForge, a browser extension for ChatGPT, Claude, and Gemini, and a marketplace for buying and selling prompts and AI-generated content. PromptDen aims to boost creativity and productivity for individuals working with AI.

GeneratedBy is a comprehensive platform designed for prompt engineers and digital workers to streamline the creation, testing, and sharing of AI-generated prompts. The tool features an intuitive prompt editor with built-in language model and variable management, supporting both text and image resources across multiple language learning models. Users can access an inspirational prompt collection with a voting system, and leverage customizable web forms, chat bubble integrations, and micro-SaaS generation for prompt-based applications. Future enhancements include a collaborative API with role management, a browser extension, and a ChatGPT plugin. GeneratedBy aims to boost productivity by offering features like automatic prompt generation and free GPT-4 access during its beta phase.

Amazon-bedrock-samples is a comprehensive GitHub repository designed to help users get started with the Amazon Bedrock service. It provides a wide array of pre-built examples for leveraging available foundational models, covering essential topics such as an introduction to Bedrock, prompt engineering techniques, and the implementation of generative AI agents. The repository also includes resources for custom model import, working with multimodal data, and various generative AI use cases. Additionally, it offers guidance on Retrieval Augmented Generation (RAG), responsible AI practices, and productionizing workloads. Users can find examples for embeddings, observability, and evaluation of models and Gen AI applications, making it a valuable resource for developers looking to integrate Amazon Bedrock into their projects.

AISuperDomain, also known as Aila, is a premier AI integration tool designed for Windows, macOS, and Android. It provides a unified platform for users to interact with multiple artificial intelligence models simultaneously, offering diverse responses to inquiries. The application supports over 10 leading AI models, including ChatGPT, Gemini, Claude3, Copilot, Poe, and Perplexity, enriching the user experience with a broad spectrum of insights. Key features include dynamic AI display customization, full-screen viewing for individual AI responses, and efficient interaction through prompt suggestions and persistent prompts. Users can also customize and configure their AI experience by adding new AI models and modifying prompts via a JSON configuration file. It is an open-source project available on GitHub.

docker-prompt-generator is an open-source tool designed to assist users in generating effective prompts for AI art generation models such as MidJourney and Stable Diffusion. It offers the unique capability to parse prompts directly from images, allowing for secondary extensions and refinements based on existing visual content. The tool also facilitates prompt creation by supporting direct input in Chinese, which it then translates to English for optimal effect generation. Built on Docker, it provides flexible deployment options for both CPU and GPU environments, making it accessible for various hardware setups. This self-hosted solution empowers users to fine-tune their AI art generation workflows with greater control and efficiency.

fka/awesome-chatgpt-prompts offers an interactive data map hosted on Hugging Face, allowing users to explore and visualize a collection of ChatGPT prompts. This tool is designed for individuals interested in understanding and utilizing AI chatbots, content generation, and task automation through pre-defined prompts. It provides a visual interface to analyze different prompts, making it easier to discover and learn about their applications without requiring direct input from the user. The platform aims to simplify the process of engaging with and learning from a diverse set of ChatGPT prompts.

Prompt Hunt is an AI art creation platform designed for creatives, enabling users to quickly generate stunning AI art. It features its own powerful AI model called Chroma, which crafts top-quality visuals with incredible speed, control, and detail. Users can explore, create, and share AI art using various models like Stable Diffusion, DALL·E, and Midjourney. The platform simplifies the art creation process with a user-friendly interface, allowing users to save and share their favorite prompts as templates. It also offers enhanced privacy features to keep creations private before sharing, and supports upscaling and variations of art. Prompt Hunt provides flexible pricing plans, including options for DALL·E and Pro model images, catering to both beginners and experienced prompt engineers.

sammo is a library for prompt engineering and optimization, specifically designed to work with Large Language Models (LLMs). It utilizes a structure-aware multi-objective metaprompt optimization approach (SAMMO) to enhance prompt effectiveness. The tool aims to provide a flexible and user-friendly environment for developers to experiment with, refine, and optimize their prompts. This makes it easier to achieve desired outputs from LLMs and streamline the development of AI-powered applications. Its focus on optimization helps users improve the performance and efficiency of their LLM interactions.

Shotgun Code is a desktop power-tool designed to connect local codebases with powerful Large Language Models. It goes beyond simple file copying by intelligently packaging project context and executing prompts directly against various LLMs, including OpenAI (GPT-4o/GPT-5), Google Gemini (2.5/3 Pro & Flash), and OpenRouter. Key features include AI-powered Auto-Context for relevant file selection, direct API integrations, built-in prompt templates for different roles, and a comprehensive history and audit log. It aims to solve common issues like context cutoff and missing files, enabling developers to blast massive context payloads instantly and streamline their LLM-driven coding workflows.

stable-diffusion-prompt-templates is an open-source GitHub repository offering a comprehensive collection of prompt templates designed to enhance AI image generation across various platforms, including Stable Diffusion, Midjourney, and DALL·E 2. The repository provides an easier entry point for users to achieve high-quality results by offering structured prompts for different categories like Animal, Archviz, Cyberpunk, Fashion, and Digital Art. Users can copy and modify these templates to match their specific vision, with guidance on replacing bracketed sections. The tool also acknowledges that results vary based on sampling methods, image dimensions, and chosen models, and encourages community contributions to expand and refine the prompt library.

tgpt is a cross-platform Command-Line Interface (CLI) tool designed to bring AI chatbot capabilities directly into your terminal. It offers a free and efficient way to interact with various AI providers without needing a graphical user interface. Users can easily install tgpt on GNU/Linux, MacOS, and Windows systems using package managers like pacman, Homebrew, Go, Scoop, or Chocolatey, as well as direct installation scripts. The tool supports proxy configurations and allows for easy updates. tgpt is ideal for developers and technical users who prefer to leverage AI functionalities within their command-line environment for tasks like code generation, quick queries, or automating workflows.

tokencost is an open-source Python library designed to provide easy token price estimates for over 400 Large Language Models (LLMs). It helps developers accurately calculate the USD cost of using major LLM APIs by estimating the cost of both prompts and completions. The tool tracks the latest price changes from LLM providers and offers token counting functionality using Tiktoken for OpenAI models and Anthropic's beta API for newer Claude models. It integrates seamlessly into AI agent development workflows, allowing for cost calculation with a single function call, making it an essential tool for budget management and cost optimization in AI applications.

Askingtips is a comprehensive platform offering advanced AI tools and prompts designed for creators and businesses. With over 89,000 prompts available across diverse categories like SEO, Education, Motivation, and Programming, it aims to simplify complex tasks. The platform provides a range of free AI-powered generators, including tools for fixing code, creating engaging ad campaigns for platforms like Instagram, Facebook, and TikTok, and optimizing website content for SEO. It also features utilities for generating blog content, privacy policies, contact us pages, and even translating text into Minion language. Askingtips focuses on providing accessible and efficient solutions to enhance productivity and creativity without requiring logins for most tools.

Banana Pro is a comprehensive AI platform for generating high-quality images and videos, leveraging advanced models such as Nano Banana Pro and Sora2. It provides features like text-to-image and image-to-image generation, supporting resolutions up to 4K and various aspect ratios. The tool includes a prompt assistant for optimization, ensuring precise results without complex prompting. Users can benefit from enhanced reasoning, global text mastery, and multi-element consistency, making it suitable for diverse creative projects. Banana Pro emphasizes user-friendliness, offering a unified creation hub, precision editing, and production-ready outputs without watermarks, catering to both personal and commercial use.

ChatGPT AI Hub serves as a comprehensive online resource for individuals interested in ChatGPT and broader AI topics. The platform provides a variety of content, including curated ChatGPT prompts to help users get started or enhance their AI interactions. It also features tutorials and articles designed to educate users on different aspects of AI, alongside news updates to keep them informed about the latest developments in the field. Additionally, the hub offers practical tools such as a ChatGPT detector and prompt generators, aiming to assist users in both understanding and utilizing AI effectively. Downloadable ebooks are also available for those looking to deepen their knowledge of artificial intelligence.

Brex's Prompt Engineering Guide is an open-source resource offering comprehensive tips and tricks for effectively working with Large Language Models (LLMs) such as OpenAI's GPT-4. Developed internally by Brex, this guide shares lessons learned from creating production-ready LLM prompts. It delves into the history of LLMs, outlines various strategies for prompt construction, provides essential guidelines, and includes safety recommendations. The resource is designed to assist developers and researchers in building robust programmatic systems that leverage the power of LLMs. It covers topics like prompt types, token limits, prompt hacking, embedding data, and advanced strategies like Chain of Thought, making it a valuable resource for anyone looking to optimize their LLM interactions.

AlphaCodium is an official implementation for the paper "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering." It introduces a novel approach to code generation by Large Language Models (LLMs), focusing on a test-based, multi-stage, code-oriented iterative flow. This method significantly improves LLM performance on challenging code problems, such as those found in competitive programming datasets like CodeContests. The tool demonstrates how structured output, semantic reasoning via bullet points, modular code generation, and double validation contribute to more robust and accurate code. It is language-agnostic and can be applied to various code generation tasks beyond its initial Python implementation.