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| I want you to refine this brainstorming document into a prompt for a deep research system that will be tasked with writing a technical spike | |
| research document on a software engineering project. The goal of this research is to help guide future agentic coding systems into | |
| having a good understanding of the technical landscape around the software the user wants to create. | |
| <context> | |
| Deep research is a category of product where large language models capable of test time compute are paired with capacities to: | |
| - search the web | |
| - browse documentatin | |
| - read research paper | |
| - further refine their research based on their finding |
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| import { | |
| Message, | |
| StreamingTextResponse, | |
| Message as VercelChatMessage, | |
| } from "ai"; | |
| import { SupabaseVectorStore } from "langchain/vectorstores/supabase"; | |
| import { OpenAIEmbeddings } from "langchain/embeddings/openai"; | |
| import { supabaseAdmin } from "../../../../utils/supabaseAdminClient"; | |
| import { PromptTemplate } from "langchain/prompts"; | |
| import { |
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| import * as cors from 'cors'; | |
| const corsHandler = cors({origin: true}); | |
| export const createPaymentIntent = functions.https.onRequest((req, res) => { | |
| corsHandler(req, res, () => { | |
| res.send('Success'); | |
| }); | |
| }); |
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| const questionData = await db | |
| .collection('questions') | |
| .where('created', '<', lastQuestion.created) | |
| .orderBy('created', 'desc') | |
| .limit(10) | |
| .get(); |
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| const items = [5, 3, 7, 6, 2, 9]; | |
| const swap = (items, leftIndex, rightIndex) => { | |
| const temp = items[leftIndex]; | |
| items[leftIndex] = items[rightIndex]; | |
| items[rightIndex] = temp; | |
| }; | |
| const partition = (items, left, right) => { | |
| const pivot = items[Math.floor((right + left) / 2)]; //middle element | |
| let i = left; //left pointer | |
| let j = right; //right pointer |
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| const insertionSort = (nums) => { | |
| const arr = nums.toString().split(''); | |
| for (let i = 1; i < arr.length; i++) { | |
| let j = i - 1 | |
| let tmp = arr[i] | |
| while (j >= 0 && arr[j] > tmp) { | |
| arr[j + 1] = arr[j] | |
| j-- | |
| } | |
| arr[j + 1] = tmp |
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| import { withRouter } from 'react-router' | |
| import { RouteComponentProps } from 'react-router-dom' | |
| const Navbar: React.FC<RouteComponentProps> = props => { | |
| React.useEffect(() => { | |
| handleDropDown() | |
| handleHumburger() | |
| }, [props.location]) | |
| // Your code |
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| axios({ | |
| url: 'http://localhost:5000/static/example.pdf', | |
| method: 'GET', | |
| responseType: 'blob', // important | |
| }).then((response) => { | |
| const url = window.URL.createObjectURL(new Blob([response.data])); | |
| const link = document.createElement('a'); | |
| link.href = url; | |
| link.setAttribute('download', 'file.pdf'); | |
| document.body.appendChild(link); |
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| alias gga="git log --graph --all --abbrev-commit --date=relative --pretty=format:'%C(red)%h %C(reset)-%C(yellow)%d%Creset %s %Cgreen(%cr) %C(blue)[%an] %C(bold blue)'" |
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