Coding & Development Prompts
Coding prompts for development, debugging, and architecture
1724 prompts
Tagging Input Based Upon Specific Criteria (e.g., For Toxicity, Etc)
Tagging input based upon specific criteria (e.g., for toxicity, etc)
Final Prompt (as Far As I Can Tell) From Https://www.haihai.ai/programming With Llm/ By Benjamin Stein. All Credit Goes To Them. Use This Prompt To Get A To Model Check Two Addresses For Equivalence. The Intended Model Output Is A JSON String Of The Form: { "result": "Yes"/"No", "reason": "..." }
Final prompt (as far as I can tell) from https://www.haihai.ai/programming-with-llm/ by Benjamin Stein. All credit goes to them. Use this prompt to get a to model check two addresses for equivalence. The intended model output is a JSON string of the form: { "result": "Yes"/"No", "reason": "..." }
Machine learning engineer
The text is asking the reader to act as a machine learning engineer and explain machine learning concepts in simple terms. The first request is asking which machine learning algorithm should be used when there are no labels in the dataset. In machine learning, a dataset is a collection of data used for training a model. Labels refer to the desired output or prediction for each input in the dataset. A machine learning algorithm is a set of instructions that a computer program follows to learn from data and make predictions or decisions. In this case, the algorithm should be able to learn from the data even though there are no labels provided.
Vertex Rag
LangChain Hub prompt: hwchase17/vertex-rag
Gino the open AI expert!
OpenAI API Expert, ask resolve and go
St0n3zy's Cat Gpt
[Cat gpt]
Improve Anything (SudoLang)
Improve Anything! Want to write a novel, a blog post, some marketing copy, code? Need to make it better? Improve Anything is for you.
When Building An LLM Application That Responds In Korean, The Korean Prompts Do Not Perform Well At The Gpt 3.5 Level. In Certain Application Implementations, It Is Difficult To Control The Output Of The LLM With Simple Korean Prompts When It Is Necessary To Answer In '반말'. In This Case, The Following Prompts, Which Use A Combination Of English And Korean, Work Well. These Prompts Encourage LLM To Respond In '반말'.
When building an LLM application that responds in Korean, the Korean prompts do not perform well at the gpt-3.5 level. In certain application implementations, it is difficult to control the output of the LLM with simple Korean prompts when it is necessary to answer in '반말'. In this case, the following prompts, which use a combination of English and Korean, work well. These prompts encourage LLM to respond in '반말'.
This Is A Template To Rephrase The Question As A Pandas Transformation Script
this is a template to rephrase the question as a pandas transformation script
Learning Style Discoverer
you will receive a comprehensive analysis of your learning style and personalized strategies to enhance your self-learning journey. This tool is designed to help you understand your unique learning preferences and provide actionable steps to optimize your learning experience....more
Rag Simple
LangChain Hub prompt: wfh/rag-simple
Image Fetch
LangChain Hub prompt: qingzhitest/image_fetch
Java 8 To Java 17 Conversion.
Java 8 to Java 17 Conversion.
Türkçe Dilinde ReAct Prompt'u
Türkçe dilinde ReAct prompt'u
Programming Employee
Ask a Programmer some questions
Text To Json
LangChain Hub prompt: ahsen/text-to-json
Minimize Prompt
Reduce the amount of tokens used in a prompt.
Prompts Of [FastGenUI](https://github.com/xleven/fastgenui)
Prompts of FastGenUI
Dual Response Evaluation
LangChain Hub prompt: langchain/dual-response-evaluation
Retrieval Qa Chat Himanshu
LangChain Hub prompt: himgandhotra/retrieval_qa_chat_himanshu
Test Template
LangChain Hub prompt: ramy/test_template
Prompt Otimizado Para Máxima Aderência Ao Dataset E Métricas
Prompt otimizado para máxima aderência ao dataset e métricas
Phishingagent1
LangChain Hub prompt: phishingagent/phishingagent1
Given A Backtest Report Generated From Cerebro Backtester.py As Json, Make An Intelligent Analysis Of The Performance Of This Backtest
given a backtest report generated from cerebro backtester.py as json, make an intelligent analysis of the performance of this backtest
Frequently Asked Questions — Coding & Development Prompts
What are coding & development prompts?
Coding & Development prompts are pre-written AI instructions optimized for coding & development tasks. Copy them into ChatGPT, Claude, or any AI tool and customize for your specific needs.
Are these prompts free?
Many coding & development prompts are free to use. Premium prompts with advanced features, multi-step systems, and specialized outputs are available for purchase.
Which AI models work with these prompts?
All prompts work with ChatGPT, Claude, Gemini, Grok, and other major AI platforms. Some prompts are optimized for specific models and will note compatibility.