The philosophy and practical benefits of agent fungibility in multi-agent software development. Why homogeneous, interchangeable agents outperform specialized role-based systems at scale.
日本語の概要は準備中です。原文の説明を表示しています。
Find opportunities to improve web application code using TanStack libraries (Query, Table, Form, Router, etc.). Avoid man-with-hammer syndrome by applying TanStack after vanilla implementation works.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Philosophy: Avoid "man with a hammer syndrome" (to whom everything appears as a nail). Start vanilla, then strategically adopt TanStack where it provides clear benefits.
Timing: Use this AFTER your app is already working pretty well in vanilla Next.js/React/Tailwind.
TanStack is a set of high-quality libraries for web applications:
| Library | Purpose |
|---|---|
| TanStack Query | Server state management, caching, synchronization |
| TanStack Table | Headless table/grid logic |
| TanStack Form | Form state management and validation |
| TanStack Router | Type-safe routing |
| TanStack Virtual | Virtualization for large lists |
| TanStack Ranger | Range/slider components |
Don't do this:
Why it's bad:
Do this instead:
Ok, I want you to look through the ENTIRE project and look for areas where, if we leveraged one of the many TanStack libraries (e.g., query, table, forms, etc), we could make part of the code much better, simpler, more performant, more maintainable, elegant, shorter, more reliable, etc. Use ultrathink
Good candidates:
Skip if:
Good candidates:
Skip if:
Good candidates:
Skip if:
Good candidates:
Skip if:
Good candidates:
Skip if:
Build your app with vanilla patterns first:
fetch or axios for API callsUse the TanStack analysis prompt with Claude Code + Opus 4.5 or Codex + GPT 5.2 (High reasoning effort).
The model will identify opportunities. For each:
Only adopt where there's clear benefit. It's fine to:
Run the analysis again after changes. New opportunities may emerge.
| Model | Configuration |
|---|---|
| Claude Code + Opus 4.5 | Use ultrathink |
| Codex + GPT 5.2 | High or Extra-High reasoning effort |
// Vanilla approach
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
const [error, setError] = useState(null);
useEffect(() => {
fetch('/api/users')
.then(res => res.json())
.then(setData)
.catch(setError)
.finally(() => setLoading(false));
}, []);
// TanStack Query approach
const { data, isLoading, error } = useQuery({
queryKey: ['users'],
queryFn: () => fetch('/api/users').then(res => res.json()),
});
Benefits:
// Vanilla approach with manual sorting, filtering, pagination
// ... 200+ lines of state management
// TanStack Table handles sorting, filtering, pagination
const table = useReactTable({
data,
columns,
getCoreRowModel: getCoreRowModel(),
getSortedRowModel: getSortedRowModel(),
getFilteredRowModel: getFilteredRowModel(),
getPaginationRowModel: getPaginationRowModel(),
});
Benefits:
br create "Evaluate TanStack Query opportunities" -t enhancement -p 3
br create "Migrate user data fetching to TanStack Query" -t enhancement -p 2
br create "Implement data table with TanStack Table" -t feature -p 2
br create "Add TanStack Virtual to chat message list" -t performance -p 2
Ok, I want you to look through the ENTIRE project and look for areas where, if we leveraged one of the many TanStack libraries (e.g., query, table, forms, etc), we could make part of the code much better, simpler, more performant, more maintainable, elegant, shorter, more reliable, etc. Use ultrathink
Look through the project for data fetching patterns that would benefit from TanStack Query. Consider caching needs, refetching patterns, and optimistic updates. Identify the top 3 opportunities. Use ultrathink.
Look through the project for table/grid components that would benefit from TanStack Table. Consider sorting, filtering, pagination, and column management needs. Identify candidates. Use ultrathink.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
The philosophy and practical benefits of agent fungibility in multi-agent software development. Why homogeneous, interchangeable agents outperform specialized role-based systems at scale.
日本語の概要は準備中です。原文の説明を表示しています。
MCP Agent Mail for multi-agent coordination. Use when agents need file locks, messaging, inboxes, or conflict prevention. Handles macro_start_session, file_reservation_paths, send_message, threading, pre-commit guards.
日本語の概要は準備中です。原文の説明を表示しています。
Jeffrey Emanuel's multi-agent implementation workflow using NTM, Agent Mail, Beads, and BV. The execution phase that follows planning and bead creation. Includes exact prompts used.
日本語の概要は準備中です。原文の説明を表示しています。
Convert markdown plans into beads with dependencies using br CLI. Use when creating task graphs, polishing beads before implementation, or bridging planning to agent swarm execution.
日本語の概要は準備中です。原文の説明を表示しています。
Beads Viewer - Graph-aware triage engine for Beads projects. Computes PageRank, betweenness, critical path, and cycles. Use --robot-* flags for AI agents.
日本語の概要は準備中です。原文の説明を表示しています。
Manage AI coding CLI accounts with sub-100ms switching. Use when hitting rate limits on Claude Max, GPT Pro, or Gemini Ultra subscriptions and need instant account swapping without browser OAuth.
日本語の概要は準備中です。原文の説明を表示しています。