taishikato

---

name: code-review-turbo-max description: >- Run a four-reviewer code review on the current branch's PR. Launches Claude and GPT-5.6 Sol on a bug-focused prompt, Cursor specialist reviewers, and GPT-5.6 Sol on an architecture/plan-alignment lens in parallel, then cross-references findings to filter hallucinations. Use when the user asks for code-review-turbo-max, a thorough multi-perspective PR review, or turbo max code review before merging. disable-model-invocation: true

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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

taishikato

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 {
  ActionIcon,
  Container,
  createStyles,
  Group,
  Text,
} from "@mantine/core";
import { IconBrandTwitter, IconBrandYoutube } from "@tabler/icons";

const useStyles = createStyles((theme) => ({

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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

taishikato

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);