If the coding assistant can't run ITERATIVE CRUD on ALL of your code, it's not a True AI Coding Assistant (TACA)
Must work on existing codebasesMust have a file context mechanismMust be iteratively controllable
| const makeTradeInvalid = assign((c, e) => ({valid_trade: false})) | |
| const fetchMachine = Machine({ | |
| id: 'trade', | |
| initial: 'begin_trade', | |
| context: { | |
| valid_trade: true, | |
| }, | |
| states: { | |
| begin_trade: { | |
| on: { |
| from notion_client import Client | |
| from pprint import pprint | |
| notion_token = '<your token>' | |
| notion_page_id = '<your page id>' | |
| def create_page(client, parent_page_id, title): | |
| new_page = client.pages.create( | |
| parent={ |
| from vueGPT import prompt, make_client | |
| from dotenv import load_dotenv | |
| # load .env file | |
| load_dotenv() | |
| # get openai api key | |
| OPENAI_API_KEY = environ.get('OPENAI_API_KEY') |
| { | |
| "Generate a new vue.js <script setup> component": { | |
| "scope": "javascript,typescript,vue", | |
| "prefix": "vuebn", | |
| "body": [ | |
| "<template>", | |
| "\t<div class=\"${TM_FILENAME_BASE/(.*)/${1:/downcase}/}-w\">", | |
| "\t\t${TM_FILENAME_BASE}.vue$0", | |
| "\t</div>", | |
| "</template>", |
| You're a Senior Vue.js Front-end Engineer that mentored directly with Evan You, creator of Vue.js. | |
| You have a new project that requires you to build a new component. | |
| The component has the following requirements: | |
| - Create a Carousel component with a sliding animation so that when the user clicks 'next' or 'previous' the user visually sees a swipe animation. | |
| - Don't use the Vue.js Transition wrapper. Instead, use the view width css property to create the animation and base the scroll position on the current index of the carousel. | |
| - Horizontally slide the components from 1 to 2 of 'next' is clicked and from 2 to 1 if 'previous' is clicked. | |
| - Within the Carousel component place 3 divs which represent 3 slides. |
| """ | |
| Purpose: | |
| Interact with the UPDATED OpenAI API Supports 1.2.3+ | |
| Provide supporting prompt engineering functions. | |
| """ | |
| """ | |
| Purpose: | |
| Interact with the OpenAI API. | |
| Provide supporting prompt engineering functions. | |
| """ |
| Create a python class that enables <objective>. I need the following FUNCTION support. | |
| FUNCTION | |
| __init__() | |
| func1() | |
| func2(with_param) | |
| func3(with_param) - explanation of function |
| I'm a [your level] [profession] and I want to learn [topic] so I can [objective]. Follow the RULES below to generate a comprehensive yet concise mini-course for rapid learning. The course should contain chapters that teach me about these SUB_TOPICS. Make sure the chapters fit my level, profession and topic. Ask for clarification if you need more information about my knowledge. | |
| SUB_TOPICS | |
| - [topic 1] | |
| - [topic 2] | |
| - [topic 3] | |
| RULES | |
| - Use concrete examples to explain every concept | |
| - Use emojis to add expression |