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version: "1.0.1" name: fullstack-expert description: "Expert-level fullstack development guide covering multi-language (TypeScript, Python, Go, Rust), multi-framework (Next.js, FastAPI, Gin, Axum), API design, microservices, DevOps, and system design / Panduan fullstack tingkat ahli mencakup multi-bahasa (TypeScript, Python, Go, Rust), multi-framework (Next.js, FastAPI, Gin, Axum), desain API, microservices, DevOps, dan system design." author: "Roedy Rustam"


Fullstack Expert (2026 Multi-Language Edition)

English | Bahasa Indonesia


<a name="english"></a>

English

Orchestration & Integration

Connects and orchestrates with relevant domain skills like brainstorming, zero-to-prod-orchestrator, and project-context-mapper to ensure cohesive execution.

Description

Expert-level fullstack development across multiple languages and frameworks. Covers tech stack selection, API design (REST/gRPC/GraphQL), microservice architecture, DevOps, system design patterns, and AI-native backend integration for 2026.

Trigger Conditions

  • Choosing the right language and framework for a new service or feature.
  • Designing APIs between services in a multi-language architecture.
  • Planning a microservices decomposition strategy.
  • Implementing system design patterns (event sourcing, CQRS, saga pattern).
  • Integrating AI agents or LLM capabilities into a backend system.

2026 Technology Matrix

Frontend

ToolVersionNotes
React19.xCompiler, Server Actions, use() hook
Next.js15.xPPR, RSC, App Router stable
Astro5.xIslands architecture, MDX, SSG
TanStack Router1.xType-safe SPA routing
TanStack StartBetaFull-stack Vite + RSC patterns
Nuxt4.xVue 3 SSR/SSG, stable
SvelteKit2.xLightweight, edge-ready

Backend

LanguageFrameworkBest For
TypeScriptHono, Fastify 5, NestJSServerless, edge, type-safe RPC
PythonFastAPI 0.115+, Django 5AI/ML workloads, data pipelines
Gonet/http (1.22+), Gin, EchoHigh-throughput microservices, CLI
RustAxum 0.8, Actix-web 4Performance-critical, WASM

AI & Agents

ToolRole
Vercel AI SDK 5.xFull-stack AI streaming, RSC
Mastra.aiTS-first agent framework
LangGraphPython stateful agent workflows
OpenAI Agents SDKGPT-5 native agents + handoffs
Google ADKGemini-powered agents
Mem0 / MemGPTLong-term agent memory

Infrastructure

CategoryTools
ContainerDocker, Podman
OrchestrationKubernetes, Railway, Fly.io
CI/CDGitHub Actions, Turborepo
ObservabilityOpenTelemetry 1.x, Grafana, Langfuse
DatabasesPostgreSQL (primary), ClickHouse (analytics), Redis (cache), Qdrant (vector)

API Design Standards

REST — OpenAPI 3.1

yaml
# openapi.yaml
openapi: "3.1.0"
info:
title: "My SaaS API"
version: "1.0.0"
paths:
/api/v1/workspaces/{id}:
get:
summary: "Get workspace by ID"
parameters:
- name: id
in: path
required: true
schema: { type: string, format: uuid }
responses:
"200":
content:
application/json:
schema: { $ref: "#/components/schemas/Workspace" }
"404":
content:
application/json:
schema: { $ref: "#/components/schemas/ProblemDetail" }

gRPC — Protocol Buffers

protobuf
syntax = "proto3";
package user.v1;
service UserService {
rpc GetUser (GetUserRequest) returns (User);
rpc ListUsers (ListUsersRequest) returns (stream User); // Server streaming
rpc CreateUser (CreateUserRequest) returns (User);
}
message User {
string id = 1;
string email = 2;
string name = 3;
repeated string workspace_ids = 4;
}

Microservice Patterns

Event-Driven (Saga Pattern)

Order Service ──publishes──> "order.created" ──> Payment Service
│
┌──────┴──────┐
success? failure?
│ │
"payment.succeeded" "payment.failed"
│ │
Inventory Service Order Service
(reserve stock) (cancel order)

CQRS (Command Query Responsibility Segregation)

  • Write side: Commands update the primary PostgreSQL database.
  • Read side: Events are projected into read-optimized views (denormalized tables or ClickHouse).
  • Use when read patterns are very different from write patterns.

AI-Native Backend Integration (2026)

typescript
// Pattern: AI as a service within existing API
import { generateObject } from 'ai';
import { anthropic } from '@ai-sdk/anthropic';
import { z } from 'zod';
// AI endpoint that returns structured data
app.post('/api/analyze', async (c) => {
const { content } = await c.req.json();
const { object } = await generateObject({
model: anthropic('claude-4-sonnet'),
schema: z.object({
sentiment: z.enum(['positive', 'neutral', 'negative']),
topics: z.array(z.string()),
summary: z.string().max(200),
}),
prompt: `Analyze this content: ${content}`,
});
return c.json(object);
});

SPA vs SSR vs Static — Decision Guide

SEO-critical + mostly read? → Next.js SSR / Astro 5 (static)
Highly interactive dashboard? → SPA (TanStack Start / Vite + TanStack Router)
→ see spa-orchestrator skill for architecture details
Mixed (marketing + app)? → Next.js 15 with hybrid routing
Real-time data? → SSR + WebSocket or SSE streaming

Monorepo with Shared Types

typescript
// packages/types/src/index.ts — single source of truth
export interface User {
id: string;
email: string;
name: string;
plan: 'free' | 'pro' | 'enterprise';
isSuperAdmin: boolean;
}
// apps/api & apps/web use the same type
import type { User } from '@myapp/types';

Security Checklist (Fullstack)

  • [ ] All user inputs validated with Zod on the server.
  • [ ] JWT secrets rotated every 90 days; use short expiry + refresh tokens.
  • [ ] CSP headers configured (no unsafe-inline in production).
  • [ ] All DB queries use parameterized queries.
  • [ ] Rate limiting on all public API endpoints.
  • [ ] Super Admin routes restricted to admin.domain.com with isSuperAdmin check.

Code Review Standards

  • Functions < 30 lines; files < 300 lines.
  • No business logic in UI components.
  • Every PR includes relevant tests (unit or E2E).
  • No any types in TypeScript production code.
  • Dependencies audited with pnpm audit on every PR.

<a name="bahasa-indonesia"></a>

Bahasa Indonesia

Integrasi Orkestrasi

Terhubung dan mengorkestrasi skill domain yang relevan seperti brainstorming, zero-to-prod-orchestrator, dan project-context-mapper untuk memastikan eksekusi yang kohesif.

Deskripsi

Panduan pengembangan fullstack tingkat ahli di berbagai bahasa dan framework. Mencakup pemilihan tech stack, desain API (REST/gRPC/GraphQL), arsitektur microservice, DevOps, pola desain sistem, dan integrasi backend AI-native untuk 2026.

Kondisi Pemicu

  • Memilih bahasa dan framework yang tepat untuk layanan atau fitur baru.
  • Merancang API antar layanan dalam arsitektur multi-bahasa.
  • Merencanakan strategi dekomposisi microservice.
  • Mengimplementasikan pola desain sistem (event sourcing, CQRS, saga pattern).
  • Mengintegrasikan agen AI atau kemampuan LLM ke dalam sistem backend.

Matriks Teknologi 2026

Frontend

React 19 + Next.js 15 (default SaaS), Astro 5 (konten), TanStack Router (SPA), Nuxt 4 (Vue), SvelteKit 2.

Backend

TypeScript/Hono (serverless, edge), Python/FastAPI (AI/ML), Go/net/http (throughput tinggi), Rust/Axum (kritis performa).

AI & Agen

Vercel AI SDK 5.x, Mastra.ai, LangGraph, OpenAI Agents SDK, Google ADK, Mem0/MemGPT untuk memori agen jangka panjang.

Infrastruktur

Docker/Kubernetes, GitHub Actions + Turborepo, OpenTelemetry 1.x, Langfuse. Database: PostgreSQL (utama), ClickHouse (analitik), Redis (cache), Qdrant (vektor).

Standar Desain API

  • REST + OpenAPI 3.1: Untuk API publik dengan beberapa konsumen.
  • gRPC: Untuk komunikasi antar layanan internal berkinerja tinggi.
  • Hono RPC / tRPC: Untuk komunikasi full-stack TypeScript type-safe tanpa codegen.

Pola Microservice

Event-Driven (Saga Pattern)

Orkestrasi transaksi terdistribusi melalui event — setiap layanan mempublikasikan event setelah berhasil; kegagalan memicu kompensasi di seluruh rantai.

CQRS

Pisahkan sisi tulis (PostgreSQL) dari sisi baca (view terdenormalisasi atau ClickHouse) ketika pola baca sangat berbeda dari pola tulis.

Integrasi Backend AI-Native (2026)

Gunakan Vercel AI SDK generateObject() dengan skema Zod untuk mengintegrasikan kemampuan AI ke endpoint API yang ada — mengembalikan output terstruktur yang dijamin sesuai tipe.

SPA vs SSR vs Static

Gunakan SSR/Astro untuk situs kritis SEO dan banyak baca. Gunakan SPA (TanStack Start) untuk dashboard yang sangat interaktif. Gunakan Next.js 15 dengan routing hybrid untuk aplikasi campuran (marketing + app).

Monorepo dengan Shared Types

Definisikan interface dan tipe bersama di packages/types — digunakan oleh semua app (web, admin, api, mobile) sebagai single source of truth.

Checklist Keamanan & Code Review

  • Input pengguna divalidasi Zod di server.
  • Header CSP dikonfigurasi & parameterized query untuk DB.
  • Rate limiting di semua endpoint publik.
  • Rute Super Admin dibatasi di subdomain dengan cek isSuperAdmin.
  • Tidak ada logika bisnis di komponen UI; wajib ada unit/E2E test pada PR.
  • Tidak ada tipe any pada kode TypeScript produksi.
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