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

博客园_首页
B
Blog
V
V2EX
T
Tailwind CSS Blog
Hugging Face - Blog
Hugging Face - Blog
博客园 - 【当耐特】
博客园 - 聂微东
博客园 - 叶小钗
博客园 - 三生石上(FineUI控件)
The Cloudflare Blog
J
Java Code Geeks
H
Help Net Security
雷峰网
雷峰网
Apple Machine Learning Research
Apple Machine Learning Research
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Engineering at Meta
Engineering at Meta
F
Fortinet All Blogs
Martin Fowler
Martin Fowler
D
Docker
L
LangChain Blog
人人都是产品经理
人人都是产品经理
爱范儿
爱范儿
WordPress大学
WordPress大学
V
Visual Studio Blog

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
I Chose Chi Over Gin for 60 API Endpoints. Here's Why I D...
Jonathan Pit · 2026-05-07 · via DEV Community

Every Go web framework comparison post says the same thing: "Gin is the most popular, Fiber is the fastest, Echo is a good balance." Chi barely gets a paragraph.

I'm building a multi-tenant deployment platform in Go. The API has 60 endpoints across 12 route groups: account management, tenant CRUD, deployments, services, environment variables, custom domains, network rules, GitHub integration, registry credentials, real-time SSE events, admin tools, and health checks.

I chose Chi. Months later, I still think it was the right call. Here's why.

The Decision Point

When I started, the choice came down to Gin and Chi. I'd used Gin before and liked it fine. But three things pushed me toward Chi:

Chi handlers are just http.HandlerFunc. That's it. No custom context type, no framework-specific signature. Every handler I write looks like this:

func (s *Server) handleCreateTenant(w http.ResponseWriter, r *http.Request) {
    provider := middleware.GetProvider(r.Context())
    // ... business logic
}

Enter fullscreen mode Exit fullscreen mode

Standard http.ResponseWriter. Standard *http.Request. If I ever needed to rip out Chi and drop in something else or just use the standard library's http.ServeMux, my handlers don't change. With Gin, every handler takes *gin.Context, which means every handler is married to Gin.

Chi's middleware is just func(http.Handler) http.Handler. The standard net/http middleware signature. I can use any middleware from the Go ecosystem without an adapter. Rate limiters, CORS handlers, logging middleware, if it works with net/http, it works with Chi. No gin.HandlerFunc wrappers needed.

Chi nests routes with r.Route(), not method chains. This matters when you have 60 endpoints.

How the Router Actually Looks

Here's a simplified version of my real router. The full thing is in internal/api/router.go:

func NewRouter(deps Deps) http.Handler {
    r := chi.NewRouter()

    // Global middleware — runs on every request
    r.Use(middleware.RequestID)
    r.Use(middleware.Logger(deps.Logger))
    r.Use(middleware.Recovery(deps.Logger))
    r.Use(cors.Handler(cors.Options{
        AllowedOrigins: []string{"https://*", "http://*"},
        AllowedMethods: []string{"GET", "POST", "PUT", "PATCH", "DELETE", "OPTIONS"},
    }))

    // Health — no auth, no rate limiting
    r.Get("/healthz", handleHealthz)
    r.Get("/readyz", handleReadyz(hc))

    // Public — rate limited by IP, no auth
    r.With(rl.IPMiddleware(10)).Post("/api/v1/waitlist", srv.handleJoinWaitlist)

    // Internal — service-to-service, shared secret
    r.Route("/api/v1/internal", func(r chi.Router) {
        r.Use(srv.internalAuth(deps.InternalAPIKey))
        r.Get("/tenants/{id}", srv.handleInternalGetTenant)
    })

    // Provider API — authenticated, rate limited
    r.Route("/api/v1", func(r chi.Router) {
        r.Use(auth.Middleware)
        r.Use(rl.Middleware)

        r.Get("/account", srv.handleGetAccount)
        r.Patch("/account", srv.handleUpdateAccount)

        r.Get("/api-keys", srv.handleListAPIKeys)
        r.Post("/api-keys", srv.handleCreateAPIKey)
        r.Delete("/api-keys/{id}", srv.handleDeleteAPIKey)

        r.Get("/tenants", srv.handleListTenants)
        r.Post("/tenants", srv.handleCreateTenant)
        r.Get("/tenants/{id}", srv.handleGetTenant)
        // ... 40+ more endpoints

        r.Route("/admin", func(r chi.Router) {
            r.Use(srv.adminGuard)
            r.Get("/metrics", srv.handleAdminMetrics)
            r.Get("/config", srv.handleListAdminConfig)
            r.Put("/config/{key}", srv.handleSetAdminConfig)
        })
    })

    return r
}

Enter fullscreen mode Exit fullscreen mode

Three things I want to highlight about this structure.

1. Middleware scoping is visual

Look at the nesting. You can see the auth boundaries:

  • /healthz: no middleware beyond the global stack
  • /api/v1/waitlist: IP rate limiting via r.With(), no auth
  • /api/v1/internal/*: internal API key auth
  • /api/v1/*: Clerk JWT or API key auth + per-key rate limiting
  • /api/v1/admin/*: all of the above, plus admin role check With Gin, you'd create route groups and attach middleware to each group. The structure is similar, but Chi's r.Route() nesting makes the middleware inheritance obvious just by reading the indentation. When a new developer (or new team member) opens this file.

2. r.With() for one-off middleware

The waitlist endpoint is public but rate-limited. Instead of creating a whole route group for one endpoint, Chi lets you do:

r.With(rl.IPMiddleware(10)).Post("/api/v1/waitlist", srv.handleJoinWaitlist)

Enter fullscreen mode Exit fullscreen mode

r.With() applies middleware to just that route. No new group, no nesting ceremony. This is surprisingly useful when you have a few endpoints that need special treatment.

3. The Deps pattern

This isn't Chi-specific, but Chi makes it natural. Because handlers are methods on a Server struct, and the router is built by a function that takes a Deps struct, wiring dependencies is explicit:

type Deps struct {
    Store         store.Store
    Redis         *redis.Client
    Logger        *slog.Logger
    JWKSURL       string
    EventBus      *events.EventBus
    Queue         *queue.Queue
    Orchestrator  orchestrator.Orchestrator
    // ... 
}

Enter fullscreen mode Exit fullscreen mode

No globals. No init() magic. Every dependency is injected through Deps, and the Server struct holds what handlers need. This makes testing straightforward; you mock the store.Store interface and pass it in.

The Dual Auth Middleware

Here's where Chi's net/http compatibility paid off the most. My API serves two types of clients:

  1. The frontend dashboard: a Next.js frontend that sends Clerk JWTs
  2. Programmatic consumers: B2B SaaS providers using API keys Both hit the same endpoints. The middleware auto-detects which auth mode is in play:
func (a *Auth) Middleware(next http.Handler) http.Handler {
    return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
        token := extractBearerToken(r)

        var provider *store.Provider
        var err error

        if strings.HasPrefix(token, "sk_") {
            provider, err = a.authenticateAPIKey(r.Context(), token)
        } else {
            provider, err = a.authenticateJWT(r.Context(), token)
        }

        if provider == nil || err != nil {
            api.ErrUnauthorized(w, r, "invalid or expired credentials")
            return
        }

        ctx := context.WithValue(r.Context(), providerContextKey{}, provider)
        next.ServeHTTP(w, r.WithContext(ctx))
    })
}

Enter fullscreen mode Exit fullscreen mode

This is a standard func(http.Handler) http.Handler. I didn't need a Chi-specific middleware type, a Gin adapter, or anything framework-aware. The JWKS caching, bcrypt comparison with prefix lookup, and auth result caching all live in the Auth struct; the framework never enters the picture.

Any handler downstream calls middleware.GetProvider(r.Context()) and gets the authenticated provider, regardless of whether they authenticated with a JWT or an API key.

What I Miss From Gin

I'll be honest about the tradeoffs.

Binding and validation. Gin has c.ShouldBindJSON(&body) which validates struct tags automatically. With Chi, I decode JSON manually:

var body struct {
    Name     string `json:"name"`
    DbEngine string `json:"db_engine"`
}
if err := json.NewDecoder(r.Body).Decode(&body); err != nil {
    pkgapi.ErrBadRequest(w, r, "invalid request body")
    return
}
if body.Name == "" {
    pkgapi.ErrBadRequest(w, r, "name is required")
    return
}

Enter fullscreen mode Exit fullscreen mode

More boilerplate? Yes. But I know exactly what's happening. There's no magic struct tag that silently returns a 400 with a format I don't control. My error responses are consistent because I control them.

Less handholding for beginners. Gin has more examples, more Stack Overflow answers, more tutorials. Chi's documentation is good but minimal. If you're building your first Go API, Gin is a smoother onramp.

No built-in response helpers. Gin has c.JSON(200, data). With Chi, I wrote a small pkg/api package:

func JSON(w http.ResponseWriter, r *http.Request, status int, data interface{}) {
    w.Header().Set("Content-Type", "application/json")
    w.WriteHeader(status)
    json.NewEncoder(w).Encode(envelope{Data: data, Meta: meta(r)})
}

Enter fullscreen mode Exit fullscreen mode

Ten lines of code I had to write once. Not a big deal, but it's not free either.

When I'd Choose Gin Instead

If I were building a quick CRUD API with 10 endpoints, no complex middleware layering, and I wanted to ship fast, then it's Gin. Its batteries-included approach is a real productivity boost for smaller projects.

If I were onboarding a team of junior Go developers, then of course, Gin. More resources, more patterns to copy, less "figure it out yourself."

When Chi Wins

If your API has multiple authentication modes, if your middleware stack has real layering (public vs authenticated vs admin vs internal), if you want your handlers to be portable http.HandlerFunc functions, if you care about net/http ecosystem compatibility, then it's Chi.

For me, the deciding factor was simple: Chi doesn't own my code. My handlers, my middleware, my response format, they're all standard Go. Chi is just the router. If Chi disappeared tomorrow, I'd swap in http.ServeMux from Go 1.22+ and change maybe 20 lines.

That's the kind of dependency I'm comfortable with.

What's your go-to Go router? Have you made a framework switch mid-project that you didn't regret?


I'm Jonathan, I build infrastructure tools with Go and Kubernetes. Currently building Staxa, a multi-tenant deployment platform. Follow me for more Go and DevOps content.