惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Google DeepMind News
Google DeepMind News
F
Fortinet All Blogs
阮一峰的网络日志
阮一峰的网络日志
Apple Machine Learning Research
Apple Machine Learning Research
爱范儿
爱范儿
WordPress大学
WordPress大学
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
J
Java Code Geeks
罗磊的独立博客
S
SegmentFault 最新的问题
V
V2EX
V
Visual Studio Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
美团技术团队
博客园 - 三生石上(FineUI控件)
Stack Overflow Blog
Stack Overflow Blog
Y
Y Combinator Blog
MyScale Blog
MyScale Blog
D
Docker
Google DeepMind News
Google DeepMind News
Blog — PlanetScale
Blog — PlanetScale
M
Microsoft Research Blog - Microsoft Research
Martin Fowler
Martin Fowler
S
Secure Thoughts
B
Blog
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
www.infosecurity-magazine.com
www.infosecurity-magazine.com
Recent Announcements
Recent Announcements
MongoDB | Blog
MongoDB | Blog
C
Cisco Blogs
C
CERT Recently Published Vulnerability Notes
T
True Tiger Recordings
GbyAI
GbyAI
P
Proofpoint News Feed
P
Privacy International News Feed
Jina AI
Jina AI
The Cloudflare Blog
I
Intezer
AWS News Blog
AWS News Blog
Hacker News - Newest:
Hacker News - Newest: "LLM"
S
Security Archives - TechRepublic
NISL@THU
NISL@THU
The Register - Security
The Register - Security
Recent Commits to openclaw:main
Recent Commits to openclaw:main
P
Palo Alto Networks Blog
S
Schneier on Security
L
LINUX DO - 热门话题
C
CXSECURITY Database RSS Feed - CXSecurity.com
Security Latest
Security Latest
C
Cybersecurity and Infrastructure Security Agency CISA

DEV Community

Why AI Should Not Write SQL Against ERP Databases Vibe coding works until it doesn't. The debt is real. Shipping at the Edge: Migrating a Coffee Subscription Platform to Cloudflare Workers Stop Tab-Switching: A Developer's Guide to Color Tools That Actually Fit the Workflow DevOps vs MLOps vs AIOps: What Changes, What Stays, and a Simple Roadmap to Get Started Run Powerful AI Coding Locally on a Normal Laptop 5 n8n Automations Every WooCommerce Store Needs (Save 10+ Hours/Week) What I Learned Building My Own AI Harness Hytale Servers Will Fail Treasure Hunts Until We Fix Our Event Handling Redux in React: Managing Global State Like a Pro Unfreezing Your GitHub Actions: Troubleshooting Stuck Deployments and Protecting Your Git Repo Statistics Unlocking Project Discoverability on GHES: A Key to Software Engineering Productivity When the Cleanup Code Becomes the Project Rockpack 8.0 - A React Scaffolder Built for the Age of AI-Assisted Development Mismanaging the Treasure Hunt Engine in Hytale Servers Will Get You Killed Stop Calling It an AI Assistant. It’s Already Managing Your Company Why Hardcoded Automations Fail AI Agents Why I built a post-quantum signing API (and why JWT is on borrowed time) Weekend Thought: Frontend Build Tools Suffer From Work Amnesia A 10-Line Playwright Trick That Saved Me Hours on Every Sephora Run AI Is Changing Engineering Culture More Than We Realize Everyone Was Focused on Gemini, But Infinite Scaler Was the Real Twister "Gemma 4 Analyzed My Bank Statements – Apparently I 'Have a Problem' with Coffee and Late-Night Apps" #css #webdev #beginners #codenewbie The Hidden Layer Every AI Developer Must Learn AlphaEvolve: Google DeepMind's Gemini-Powered Evolutionary Coding Agent RDS Reserved Instance Pricing: Every Engine, Every Rule, Real Dollar Savings How To Build An AI-Powered MVP Without Burning Your Startup Budget In 2026 Reading a Psychrometric Chart Without Getting Lost LMR-BENCH: Can LLM Agents Reproduce NLP Research Code? (EMNLP 2025) How to turn text into colors (without AI) Building Real-Time Apps in Node.js with Rivalis: WebSockets, Rooms, Actors, and a Binary Wire This Week In React #282 : Security, Fate, TanStack, Redux, Jotai | Hermes-node, Expo, Rozenite, Harness | TC39, Bun, pnpm, npm, Yarn, Node AI Copilot vs AI Agent Architecture - What's Actually Different (And Why It Matters) Smart Contract Security: NEAR's Futures Surge and AI Token Risks Database Maintenance: Tracing Production Incidents to Their Root Cause Stop juggling AI SDKs in PHP — meet Prisma Google Quietly Changed What “Apps” Mean at I/O 2026 The Infrastructure Team Is the Real Single Point of Failure Building SQLite from Scratch: 740 Lines of C++23 to Understand Every Byte of a .db File The 4 Levels of Hermes Agent Scaling Framework: From One Hermes Agent to a Fully Automated Team Your AI Has a Memory. It Just Doesn’t Know What to Remember. Claprec: Engineering Tradeoffs - Limited time vs. Perfection (6/6) Building a Daily Google News API Monitor in Python Building RookDuel Avikal: From Chess Steganography to Post-Quantum Archival Security Google I/O e IA: o que realmente muda na vida do dev? Color Contrast Failures: The Number One Accessibility Issue and How to Fix It # I Watched 15 Hours of Hermes Agent Videos So You Don't Have To Cómo solucionar el bucle infinito en useEffect con objetos y arrays en React The First Agent-Centric Cloud Security Platform — And Why We Didn't Build It That Way On Purpose Most Treasure Hunts Engines on Hytale Servers Are Built to Fail - Lessons from a Burned Database GhostScan v3.0 — From Closed-Source EXE to Open-Source Pentest Framework De hojas de cálculo a IA: construyendo una plataforma SRM moderna When is AI fine in education? Python Tools for Managing API Rate Limits in Data Pipelines How to Implement Exponential Backoff for Rate-Limited APIs in Python "My Web Chat Wasn't a Real Channel. That Broke My Agent Pipeline" next-advanced-sitemap v1.0.7 — safer URL ingestion & automatic trimming for Next.js sitemap generation I keep seeing people build an AI lead processing agent when they really need a 6-step rules engine AI Powered Student Learning Assistant Using Gemma 4 How I Built a Drop-In Proxy to Slash My OpenAI Bills by 20%+ Automatically Building a Sarcastic AI English Tutor with Persona-as-Code and Gemini Audio Input for Pronunciation Correction Five Years Later, I Finally Have 96GB VRAM — What It Actually Unlocks for Agent Loops Turning a 1-Line Idea Into a 40-Second Short with a 10-Beat Local Video Pipeline Running LTX-2.3 Alongside TTS on a Single 96GB GPU with a Cold-Start Architecture Cutting LTX-2 22B Peak VRAM by 40% with fp8_cast — and Why optimum-quanto Was a Trap HiDream Skeleton Mode: Prompt Beats OpenPose Ref — 8 Patterns Benchmarked Replicating a Language-Learning Comedy Short with Claude Code — Gemini as a Multimodal Sub-Agent HiDream-O1-Image 3–8x Faster: Benchmarking Steps, CFG, and Resolution AWS Savings Plan Buying Strategy: How to Layer, Size, and Time Commitments application.properties I built a macro tracker powered by AI + attitude Solace: A Global Mental Health First Responder Built with Gemma 4 Why Blocking Prompt Injection Is Wrong — and What to Do Instead The AI code tools Dutch developers actually use in 2026 (field notes) Automatic Error Recovery in AI Agent Networks You Are Not Choosing Building a Cinematic Adaptive Learning Intelligence with Gemma 4, Gemini, and OpenAI(Powered by Gemma 4) CLAUDE.md for Angular: 13 Rules That Make AI Write Idiomatic, Production-Ready Components I tested 7 vector databases for my RAG stack in 2026, here's the one nobody is talking about (yet) Claude agreed with a false fact I gave it. Confidently. That broke my workflow Google's "Budget" Model Just Beat Its Own Flagship. Here's What That Actually Means for Developers. How I built a monitoring SaaS for Joomla, WordPress & PrestaShop agencies Shifting from Passive Dashboards to Automated Remediation: A Guide to Next-Generation FinOps and CloudZero Alternatives Automating CSV WooCommerce Imports Without Plugins Why Wobbly Plugs and Overheating Outlets Are More Dangerous Than You Think (UL 498 Explained) Building an AI Model Evaluation Pipeline on AWS for Audio Content Generation Your Side Project Is Not a Business Neurodiversity and the two layers of cognition GitHub Internal Repositories Breached: Source Code and Internal Data Allegedly Exfiltrated in 2026 Supply Chain Attack Stop drowning in files: auto-organize your Google Drive with n8n (free workflow JSON) Secure Firmware Updates with a Secure Element: Building Trust Into the Bootloader I Thought Domain-Driven Design Was a Waste of Time. I Was Wrong. AI Content Is Getting Tagged Like Livestock — And That's Actually Good ESP32 Into a Speech-to-Text Device Why Simple Audio Transcription Fails in Healthcare: The Need for Clinical Reasoning Engines The 114KB Span Attribute That Hid Our LCP Data How to Scale AI Development Beyond Prototype Speed Agent Execution Environments: Cloud Sandbox vs Local GUI vs Hybrid AI code review checklist that actually catches problems
7 Next.js 16 Caching Bugs That Compile Fine and Break Silently in Production
Shubhra Pokh · 2026-05-21 · via DEV Community

I lost hours debugging a Next.js 16 caching issue that had no error, no warning, and only showed up in production.

The Next.js 16 caching model is genuinely good. But it introduces a class of bugs that are harder to detect than anything in previous versions: bugs that look correct, compile without errors, deploy successfully, and then silently misbehave in production.

These are the most common ones I've seen across real projects. Every one comes from real production incidents.

(Assumes you have cacheComponents: true enabled in next.config.ts.)

This is a follow-up to my previous post where I built a dev-only debugger to surface these issues during development. That tool helps you detect them. This post breaks down the exact failure cases behind those warnings.

Bug 1: 'use cache' on the Wrapper Instead of Inside the Function

// This looks cached. It is not.
export const getProducts = someWrapper(async function() {
  'use cache'
  cacheLife('hours')
  return db.query('SELECT * FROM products')
})

Enter fullscreen mode Exit fullscreen mode

The 'use cache' directive tells the Next.js compiler to treat that function as a cache boundary. When you wrap it, the compiler sees the wrapper as the entry point. The inner function may be cached, but the wrapper becomes the execution boundary, so you still end up running it on every request.

No error. No warning. Just a function running on every request when it should be cached.

Fix:

async function _getProducts() {
  'use cache'
  cacheLife('hours')
  cacheTag('products')
  return db.query('SELECT * FROM products')
}

// Wrapper receives the already-cached function
export const getProducts = someWrapper(_getProducts)

Enter fullscreen mode Exit fullscreen mode

The rule is simple: 'use cache' lives inside the data function, never on anything that wraps it.

Bug 2: Deprecated revalidateTag That Compiles and Uses Legacy Behavior

// Next.js 15: correct
// Next.js 16: TypeScript error, silently uses legacy behavior in loose tsconfig
revalidateTag('products')

Enter fullscreen mode Exit fullscreen mode

In Next.js 16, revalidateTag without a second argument is deprecated and produces a TypeScript error. But if your tsconfig is not in strict mode (common in older projects), it compiles cleanly and falls back to legacy invalidation behavior instead of the new SWR-based system.

Pages stop reflecting mutations. No error anywhere.

Fix:

revalidateTag('products', 'max')         // SWR, recommended for most content
revalidateTag('products', { expire: 0 }) // Immediate expiry for webhooks/payments

Enter fullscreen mode Exit fullscreen mode

Run npx @next/codemod@canary upgrade latest during your migration, it handles this automatically. But check your tsconfig strictness regardless.

Bug 3: Tag String Mismatch Across Files

// lib/data.ts -- written by developer A
async function getProducts() {
  'use cache'
  cacheTag('product-list')  // Tag is 'product-list'
  return db.query('...')
}

// app/actions/products.ts -- written by developer B
export async function createProduct(data: ProductData) {
  await db.query('INSERT INTO products ...', [...])
  revalidateTag('products', 'max')  // Different string, invalidates nothing
}

Enter fullscreen mode Exit fullscreen mode

Two different strings. Zero errors. The product list never refreshes after a new product is created. Users see stale data until cacheLife expires on its own.

Fix:

// lib/tags.ts -- one source of truth
export const tags = {
  products: 'product-list',
  product: (id: string) => `product-${id}`,
  user: (id: string) => `user-${id}`,
} as const

// Both files import from tags
cacheTag(tags.products)
revalidateTag(tags.products, 'max')

Enter fullscreen mode Exit fullscreen mode

Tag typos become TypeScript errors. The string mismatch bug becomes structurally impossible.

Bug 4: Server Action Mutation Where the Acting User Sees Stale Data

'use server'
export async function updateProductPrice(id: string, newPrice: number) {
  await db.query('UPDATE products SET price = $1 WHERE id = $2', [newPrice, id])
  revalidateTag(`product-${id}`, 'max')
}

Enter fullscreen mode Exit fullscreen mode

revalidateTag with any named profile uses stale-while-revalidate. It marks the cache as stale. The next request still gets the cached version while fresh data loads in the background.

For the admin who just clicked save, that means they navigate to the product page and see the old price. Looks like the save failed. Causes confusion and duplicate mutations.

Fix:

'use server'
import { revalidateTag, updateTag } from 'next/cache'

export async function updateProductPrice(id: string, newPrice: number) {
  await db.query('UPDATE products SET price = $1 WHERE id = $2', [newPrice, id])
  updateTag(`product-${id}`)            // Acting user sees change immediately
  revalidateTag(`product-${id}`, 'max') // Everyone else gets SWR
  revalidateTag('products', 'max')      // Product list also refreshes
}

Enter fullscreen mode Exit fullscreen mode

updateTag expires the cache entry immediately. The next request waits for fresh data. The admin sees their change. Everyone else gets the fast SWR treatment.

Constraint: updateTag only works inside Server Actions. In Route Handlers, use revalidateTag(tag, { expire: 0 }) instead.

Bug 5: updateTag in a Route Handler

// app/api/webhooks/stripe/route.ts
import { updateTag } from 'next/cache'

export async function POST(req: Request) {
  const event = await parseStripeWebhook(req)
  if (event.type === 'price.updated') {
    updateTag('products')  // Throws at runtime
  }
  return new Response('ok', { status: 200 })
}

Enter fullscreen mode Exit fullscreen mode

This compiles. It deploys. On the first real webhook call from Stripe, it throws at runtime. updateTag only works inside Server Actions. Calling it anywhere else throws.

Fix:

import { revalidateTag } from 'next/cache'

export async function POST(req: Request) {
  const event = await parseStripeWebhook(req)
  if (event.type === 'price.updated') {
    revalidateTag('products', { expire: 0 })  // Immediate expiry in Route Handlers
  }
  return new Response('ok', { status: 200 })
}

Enter fullscreen mode Exit fullscreen mode

Bug 6: Short cacheLife That Silently Affects PPR

async function LiveStockStatus({ productId }: { productId: string }) {
  'use cache'
  cacheLife('seconds')  // Seems right for live stock data
  cacheTag(`stock-${productId}`)
  return fetchStockLevel(productId)
}

Enter fullscreen mode Exit fullscreen mode

cacheLife('seconds'), revalidate: 0, and expire under 5 minutes are automatically excluded from the PPR static shell. They become dynamic holes that run at request time.

One component with cacheLife('seconds') can push parts of the page out of the static shell and turn them into request-time work. No warning. The page still works. It just becomes fully dynamic without any obvious signal.

Fix, if the data can tolerate a short delay:

cacheLife('minutes')  // Now included in the static shell

Enter fullscreen mode Exit fullscreen mode

Fix, if it genuinely needs to be live:

// Parent page
<Suspense fallback={<StockSkeleton />}>
  <LiveStockStatus productId={id} />  {/* Streams in after static shell */}
</Suspense>

Enter fullscreen mode Exit fullscreen mode

The second approach is the correct PPR pattern for truly dynamic data. The static shell renders instantly and the live data streams in after.

Bug 7: Runtime API Inside a Cached Scope

async function UserHeader() {
  'use cache'
  const cookieStore = await cookies()  // Throws at build time
  const user = await getUser(cookieStore.get('user-id')?.value)
  return <div>{user.name}</div>
}

Enter fullscreen mode Exit fullscreen mode

cookies(), headers(), and draftMode() are runtime APIs. They read request-specific data. They cannot live inside a 'use cache' scope because cached output is stored and replayed across requests.

This one at least throws at build time with "Uncached data was accessed outside of Suspense". But the error gives you no component name, no file path, and no useful stack trace. You get to play binary search across your codebase to find it.

Fix:

// Read runtime values OUTSIDE the cached scope
async function UserHeader() {
  const cookieStore = await cookies()
  const userId = cookieStore.get('user-id')?.value
  return <CachedUserProfile userId={userId} />
}

// Pass the VALUE as a serializable prop to the cached component
async function CachedUserProfile({ userId }: { userId?: string }) {
  'use cache'
  cacheLife('hours')
  cacheTag(`user-${userId}`)
  if (!userId) return <GuestGreeting />
  const user = await getUser(userId)
  return <div>{user.name}</div>
}

Enter fullscreen mode Exit fullscreen mode

userId is a string so it becomes part of the cache key automatically. Different users produce different cache entries without any manual key construction.

The Common Thread

None of these have good error messages. Five of the seven compile and deploy without complaint. The other two throw, but either without enough information to find the cause quickly or only after the first real production request.

The pattern across all of them is the same: the new caching model requires explicit correctness. When you get something wrong, it does not always tell you.

If you are in the middle of a Next.js 16 migration and want to catch these during development rather than in production, I ended up building a free dev-only debugger that logs cache misses, dynamic holes, missing tags, and deprecated invalidation calls directly in your terminal. Zero production cost, one .tsx file: Next.js cache debugger.

And if you want these patterns enforced at the type level so the wrong call is a compile error rather than a runtime surprise, the production enforcement layer is Cache Pro Kit.

Have you run into any of these? Or something even stranger? I'm curious what the distribution looks like across different kinds of projects.