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

V
V2EX - 技术
D
DataBreaches.Net
阮一峰的网络日志
阮一峰的网络日志
Recent Announcements
Recent Announcements
V
V2EX
Hugging Face - Blog
Hugging Face - Blog
T
The Exploit Database - CXSecurity.com
Simon Willison's Weblog
Simon Willison's Weblog
Cisco Talos Blog
Cisco Talos Blog
Microsoft Security Blog
Microsoft Security Blog
C
Cyber Attacks, Cyber Crime and Cyber Security
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
K
Kaspersky official blog
F
Fortinet All Blogs
GbyAI
GbyAI
Forbes - Security
Forbes - Security
The Cloudflare Blog
博客园 - 司徒正美
博客园_首页
量子位
Schneier on Security
Schneier on Security
G
GRAHAM CLULEY
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
P
Proofpoint News Feed
N
News | PayPal Newsroom
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
博客园 - 聂微东
T
Tor Project blog
V
Vulnerabilities – Threatpost
Y
Y Combinator Blog
Jina AI
Jina AI
Help Net Security
Help Net Security
T
Threat Research - Cisco Blogs
Recent Commits to openclaw:main
Recent Commits to openclaw:main
C
Cybersecurity and Infrastructure Security Agency CISA
Project Zero
Project Zero
N
News and Events Feed by Topic
I
Intezer
B
Blog
美团技术团队
C
CERT Recently Published Vulnerability Notes
NISL@THU
NISL@THU
L
LINUX DO - 最新话题
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
Blog — PlanetScale
Blog — PlanetScale
AWS News Blog
AWS News Blog
T
Tailwind CSS Blog
The Last Watchdog
The Last Watchdog
雷峰网
雷峰网
有赞技术团队
有赞技术团队

The Practical Developer

The Libuv Thread Pool Trap: Why Node.js Async APIs Stall Under Load Postgres Covering Indexes with INCLUDE: Eliminate Heap Fetches on Read-Heavy Workloads Postgres DISTINCT ON: The Fastest Way to Get the Latest Row Per Group Postgres Transaction Isolation: The Anomalies Your App Actually Faces in Production Linux TCP Tuning for Node.js Microservices: The Kernel Settings That Stop Silent Connection Drops Under Load Postgres HOT Updates and Fillfactor: Why Not All Writes Are Created Equal Database Connection Pool Leaks: Finding the Promise That Never Returns Its Seat Linux OOM Killer in Production: Why Your Node.js Containers Die Without a Stack Trace Postgres Materialized Views: Refresh Strategies That Do Not Lock Your Dashboards API Dependency Health Checks: Why /health Is Not Enough Authorization with Zanzibar Tuples: How Google Manages Permissions and How To Build the Same Check in Node.js Postgres Advisory Locks: The 20-Character Primitive That Replaces Redis for Coordination Dead Letter Queues: The Message Queue Pattern That Saves You at 2 a.m. File Descriptor Exhaustion: The Kernel Limit That Silently Drops Node.js Connections Graceful Degradation: The Pattern That Turns Total Outages into Partial Success PostgreSQL Full-Text Search: Dropping Elasticsearch for 90% of Use Cases S3 Presigned Multipart Uploads: Stop Your API Server from Being a File Upload Bottleneck MessagePack vs JSON: The Binary Serialization Switch That Cut Our Internal RPC Overhead by 40% DNS Caching in Node.js: The Silent Cause of Production Latency Spikes Reliable Cron Jobs: The Pattern That Stops Double Runs, Missed Executions, And The 2 AM Page GraphQL Query Complexity: Stop the OOM Query Before It Reaches Your Resolver Node.js Event Loop Lag: The Hidden Metric Behind Random Latency Spikes API Request Validation with Zod: The Schema That Catches Bad Input Before It Corrupts Your Database Load Shedding in Node.js: How to Reject Traffic Before You Drown Request Hedging: Cut Tail Latency In Half Without Overprovisioning Git Bisect: The Automated Binary Search That Finds Breaking Commits in Minutes Node.js Garbage Collection Tuning: Stop Letting V8 Pause Your Event Loop Node.js Server Timeouts: The Settings That Stop Slow Clients from Holding Sockets Hostage Postgres BRIN Indexes: The Time-Series Secret That Shrinks Indexes by 99% Event Sourcing with PostgreSQL: The Pragmatic 80% Solution Node.js Cluster Mode: Scaling the Event Loop Across CPU Cores Postgres Partial Indexes: Stopping Soft Deletes from Ruining Your Query Performance Request Coalescing with the Singleflight Pattern: Stop Drowning Your Database on Every Cache Miss The Bulkhead Pattern: Why One Slow Endpoint Should Not Drown Your Whole Service Node.js AsyncLocalStorage: End-to-End Request Context Without the Propagation Hell Postgres Deadlocks: Logging the Victim, Reproducing the Race, and Fixing the Lock Order Your Node.js HTTP Client Is the Bottleneck: Connection Pool Tuning That Works Optimistic Locking in Postgres: Stop Losing Data to Race Conditions Postgres Read Replicas: Stop Serving Stale Data to Your Users Cursor Pagination: Why Offset Queries Explode at Scale and How to Fix Them Node.js Worker Threads: 60 Lines That Stop a CSV Upload from Timing Out Every Other Request Reliable Webhook Delivery: Architecture for Outbound HTTP You Can Trust Request Timeouts and Deadline Propagation: Stop the Chain of Slowness Advanced Security Practices in Node.js Graceful Shutdown in Node.js: The 40 Lines That Stop 502s During Deploys Finding Node.js Memory Leaks with Heap Snapshots Idempotency Keys in 30 Lines: Stop Your Webhook From Charging Customers Twice Backpressure In Node.js: The Fix For Slow-Motion Queue Meltdowns Retries Done Right: Jitter, Budgets, and the Stampede You Did Not See Coming The Cache Stampede: Why Your "Just Add Redis" Layer Crashes Postgres at 3 a.m. Postgres SKIP LOCKED: An 80-Line Job Queue You Can Run Without Redis Stop Doing Work Nobody Wants: AbortController in Node.js, Done Right The N+1 Query Problem: We Found 23 In One Codebase And Killed Every One I Tried 5 AI Coding Tools for a Month. Here Is What I Actually Use CI/CD From Zero to Production in 30 Minutes With GitHub Actions Node.js vs Bun vs Deno: Which Runtime Should You Pick in 2025? Kubernetes Resource Requests And Limits: The Numbers That Decide If Your Cluster Is Stable The Three Pillars of Observability Are A Myth: What Actually Matters In Production pnpm Vs npm Vs yarn Vs Bun For Monorepos: Which One Earns The Migration In 2024 JSONB Indexing In Postgres: GIN Vs Expression Indexes, And When Each Is The Right Choice A Code Review Checklist That Ends The Same Three Arguments Every Sprint gRPC Vs REST In 2024: When The Switch Pays For Itself React Suspense For Data Fetching: The Pattern That Replaces Half Your Loading State Code The Five-Stage Rollout: How To Ship A Risky Change Without Holding Your Breath GitHub Actions In A Monorepo: Caching, Path Filters, And Secret Boundaries That Actually Work The Blameless Postmortem That Actually Improves Things: A Template And Six Hard-Won Rules Recursive CTEs In Postgres: How To Query A Tree Without N Round Trips Node.js Streams: When They Actually Help, And When They Just Add Complexity Playwright Vs Cypress In 2024: The Honest Comparison Of Which One Earns The Test Time React Server Components: The Mental Model That Makes The "use client" Boundary Obvious Pod Disruption Budgets: The K8s Object That Keeps Your Service Up During Cluster Maintenance Postgres LISTEN/NOTIFY: The Pub/Sub You Already Have And Are Not Using Chaos Engineering Starter Kit: The Five Drills That Don't Need Netflix-Scale Spec-Driven API Development With OpenAPI: How To Stop Drifting From Your Docs Saga Pattern vs Two-Phase Commit: Distributed Transactions Without The Lies Kubernetes Autoscaling Beyond CPU: The Custom-Metric HPA Pattern That Actually Works Postgres Partitioning For Time-Series: The Boring Setup That Saves Your Database Distributed Locks With Redis: An Honest Look At Redlock And When You Don't Need It HTTP/2 vs HTTP/3: What Actually Changes For Your App, And What Doesn't Image Optimization For The Web In 2023: srcset, AVIF, And The Lighthouse Score You Actually Want Kafka vs RabbitMQ: A Decision Tree That Doesn't Hate You UUID vs Bigint Primary Keys In Postgres: The Index Math That Decides For You Flame Graphs: How To Find The Slow Function In 30 Seconds Without Profiling Theatre Postgres Streaming Vs. Logical Replication: Which One Solves Your Actual Problem ESLint Rules That Earn Their Keep: The Twelve I Enable On Every Project Zero-Downtime Database Migrations: The Six-Step Pattern That Rules Them All Circuit Breakers In Node.js: 50 Lines That Stop A Failing Dependency From Taking Down Your Service Postgres VACUUM Is Not Magic: How Your Hot Table Bloats To 80GB And How To Fix It Kubernetes Liveness And Readiness Probes: The Difference That Causes Half Your Outages Rate Limiting In Production: A Token Bucket In 30 Lines Of Redis The Outbox Pattern: How To Stop Losing Events When Postgres And Kafka Disagree Load Testing With k6: The Three Scenarios That Find Real Bugs (Not Synthetic Numbers) Postgres Row-Level Security For Multi-Tenant Apps: The Pattern That Stops You From Leaking Data Rebase vs. Merge: The Team Policy That Ends The Argument Forever OpenTelemetry in Node.js: Distributed Tracing That Actually Helps During an Incident Feature Flags That Pay Rent: The 4 Flag Types And When To Delete Each ETag, Last-Modified, and the Caching Headers Most APIs Get Wrong Connection Pooling Without the Cargo Cult: pgbouncer in 100 Lines of Config JSONB Is Not a Schema: When To Reach For It in Postgres, And When To Stop Bash Strict Mode: The Three Lines That Stop Your Deploy Script From Lying To You
Pre-Commit Hooks That Pay For Themselves: Husky, lint-staged, And The Five Rules That Stick
The Practica · 2023-03-17 · via The Practical Developer

A team installs Husky on Tuesday. Wednesday they add ESLint, Prettier, TypeScript check, and a unit-test pass to the pre-commit hook. By Friday, every commit takes 30 seconds. By the following Tuesday, three engineers are using --no-verify for every commit and the hooks are disabled.

This is the pre-commit hook anti-pattern: piling everything into the hook until the hook is unusable, then bypassing it. The fix is to move 90% of the checks to CI where they belong, and to keep pre-commit narrow, fast, and operating only on the files actually staged. Done right, the hook catches the dumb mistakes before they get committed and runs in under two seconds.

The rules that make hooks survive

Five rules, in priority order. If you violate one, the hook gets bypassed.

1. Run only on staged files. A pre-commit hook that lints the entire repo on every commit is a punishment, not a tool. Use lint-staged to filter to the files actually being committed.

2. Check, do not run. The hook should verify the change is committable, not run the full test suite. Linting, formatting, type-checking on the diff, yes. End-to-end tests, no. Save those for CI.

3. Auto-fix when safe. Prettier, lint —fix, import sorting: these are deterministic and never wrong. Apply them to staged files and re-stage automatically. The developer never sees them.

4. Two-second budget. A pre-commit hook should run in under two seconds for a typical commit. Anything more and developers reach for --no-verify. If you cannot stay under two seconds, you are doing the wrong thing in the hook.

5. Have an escape hatch. Sometimes you need to commit broken code intentionally (work-in-progress, fixing a previous commit). git commit --no-verify exists for a reason; do not punish people for using it. CI is the gate that matters.

A minimal setup that works

npm i -D husky lint-staged
npx husky init

.husky/pre-commit:

#!/usr/bin/env bash
npx lint-staged

package.json:

{
  "lint-staged": {
    "*.{ts,tsx,js,jsx}": [
      "eslint --fix",
      "prettier --write"
    ],
    "*.{json,md,yml,yaml}": [
      "prettier --write"
    ],
    "*.css": [
      "prettier --write"
    ]
  }
}

That is the entire setup. lint-staged runs only against files matching the glob, only the ones staged for commit. Auto-fixes are applied and re-staged. A typical commit touches 1–5 files; the hook runs in 0.5–1.5 seconds.

What I add: a TypeScript surface check

ESLint catches per-file errors. It does not catch type errors that span files (because each file is checked in isolation). For TypeScript projects, I add a fast type-check that uses tsc in incremental mode:

{
  "lint-staged": {
    "*.{ts,tsx}": [
      "eslint --fix",
      "prettier --write",
      "bash -c 'tsc --noEmit --incremental'"
    ]
  }
}

--incremental writes a .tsbuildinfo cache. The first run is slow; subsequent runs check only what has changed. About 2 seconds on a mid-size codebase.

If your TypeScript project is large and tsc --noEmit is slow even incrementally, drop it from pre-commit and rely on CI. The two-second rule is non-negotiable.

What NOT to put in pre-commit

A list of common mistakes:

  • Full test suite. Even a “fast” test suite is rarely under 2 seconds. Run it in CI. Use git push hooks for staged-and-uncommitted-related tests if you want, but pre-commit is too aggressive.
  • tsc without --incremental on a large project. 30 seconds. Use CI.
  • Build the project. Builds belong in CI.
  • Run a Docker container. Disk and startup overhead violate the two-second budget.
  • Commit message linting in the pre-commit hook. That is what commit-msg is for. Keep them separate so they fail loudly.

Useful supplements

A few hooks I add on top of the default:

Block accidental secret commits. Use secretlint or a custom regex to refuse commits that look like they contain credentials.

{
  "lint-staged": {
    "*": "secretlint"
  }
}

Block large files. Stops the well-meaning developer from accidentally committing a 50MB binary.

# .husky/pre-commit
git diff --cached --name-only --diff-filter=ACM | xargs -I {} bash -c '
  size=$(wc -c < "$1");
  if [ "$size" -gt 1048576 ]; then
    echo "ERROR: $1 is $(($size/1024))KB. Refusing to commit files >1MB. Use Git LFS." >&2
    exit 1
  fi
' bash {}

Format package.json deterministically. Different yarn/npm versions order keys differently; standardize:

{
  "lint-staged": {
    "package.json": "sort-package-json"
  }
}

Block console.log in non-test files. Optional and opinionated, but useful if your team has a “no console.log in production code” policy.

{
  "lint-staged": {
    "src/**/*.{ts,tsx}": ["eslint --rule 'no-console: error' --no-eslintrc"]
  }
}

commit-msg: the conventional-commits gate

If your team uses conventional commits (feat:, fix:, chore:), enforce the format with a commit-msg hook. This catches typos before they land in the history.

npm i -D @commitlint/cli @commitlint/config-conventional
echo "module.exports = { extends: ['@commitlint/config-conventional'] }" > commitlint.config.js

.husky/commit-msg:

#!/usr/bin/env bash
npx --no -- commitlint --edit "${1}"

Now git commit -m "wip" fails with a clear error pointing to the rule. Reject force is the right behavior here, because bad commit messages stay in history.

pre-push: the bigger nets

Some checks are too expensive for pre-commit but too important to skip until PR. The pre-push hook is the right place: runs on push, not on every commit.

# .husky/pre-push
#!/usr/bin/env bash
npm run typecheck
npm run test:unit

A 30-second pre-push that catches “your branch does not even compile” before it hits CI is much less painful than a 30-second pre-commit, because most engineers push only a few times per day.

The CI side: do everything pre-commit doesn’t

Pre-commit is the spell-check; CI is the editor. CI runs:

  • Full ESLint (not just on staged files)
  • Full TypeScript check
  • All tests
  • Bundle-size check
  • Visual regression
  • Integration / E2E tests
  • Security scans

If a CI check is fast and catches a class of bugs nobody else can catch, consider moving it to pre-push. Anything else stays in CI.

When the hook is a problem

Three signs that the hook is hurting more than helping:

  • Engineers use --no-verify regularly. The hook is slow or wrong. Fix it or remove it.
  • The hook fails on commits that CI then passes. The hook is checking something CI is not, or vice versa. Align them.
  • Onboarding a new engineer takes a half-hour to set up Husky. The setup is too fragile. Use husky install configured to run automatically on npm install ("prepare": "husky" in package.json).

A prepare script that just works

The most painless way to install hooks for new contributors:

{
  "scripts": {
    "prepare": "husky"
  }
}

npm install triggers prepare automatically. The hooks are set up the moment a developer clones and installs. No README step, no manual run.

The takeaway

A pre-commit hook is a 2-second sanity check, not a CI replacement. lint-staged + ESLint —fix + Prettier —write covers 90% of what is useful. Anything that takes longer than two seconds belongs in pre-push or CI. Auto-fix when safe, escape hatch when not. The team that gets this right barely notices the hook is there, and saves a small amount of CI time per PR because the dumb mistakes never make it that far.

The hook that survives is invisible. The hook that everyone bypasses is worse than no hook. Aim for invisible.


A note from Yojji

The kind of developer-experience polish that makes “the hooks are fast and useful” feel obvious instead of a quarterly debate, the small workflow rituals that compound over hundreds of commits, is the kind of detail Yojji’s teams put into the codebases they hand back to clients.

Yojji is an international custom software development company founded in 2016, with teams across Europe, the US, and the UK. They specialize in the JavaScript ecosystem (React, Node.js, TypeScript), cloud platforms (AWS, Azure, GCP), and full-cycle product engineering, including the developer-experience tooling that decides whether a codebase feels good to work in.