Fullstack Expert (2026 Polyglot & Systems Edition)

English | Bahasa Indonesia

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English

Orchestration & Integration

Connects and orchestrates with domain skills like brainstorming, zero-to-prod-orchestrator, senior-frontend, js-backend-expert, go-programming-expert, python-programming-expert, and rust-programming-expert.

Description

Expert-level fullstack development across multiple languages and frameworks. Focuses on polyglot backend architectures, system design patterns (Event-Driven Saga, CQRS), API contracts (OpenAPI 3.1, gRPC), and monorepo shared types.

Trigger Conditions

• Choosing the right language and framework for a multi-service architecture.
• Designing API contracts (REST, gRPC, Hono RPC) between heterogeneous services.
• Implementing distributed system design patterns (Saga, CQRS).
• Setting up a polyglot monorepo with shared types across frontend and backend.

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2026 Polyglot Architecture Matrix

For comprehensive frontend UI architecture, see senior-frontend and nextjs-app-router-expert. For dedicated AI agent workflows and LLM integrations, see ai-llm-integration-expert and multi-agent-orchestration.

Language	Primary Frameworks	Ideal Workloads
TypeScript	Hono, Fastify 5, NestJS	Serverless, Edge APIs, type-safe RPC
Python	FastAPI 0.115+, Django 5	Data science, LLM orchestration, async queues
Go	net/http (Go 1.25+), Gin, Echo	Ultra-high throughput microservices, networking, CLIs
Rust	Axum 0.8, Actix-web 4	High-performance compute, memory safety, WASM

Infrastructure & Multi-Service Storage

• Primary OLTP: PostgreSQL with connection pooling (PgBouncer / Supavisor).
• Analytics OLAP: ClickHouse / DuckDB for high-speed aggregations.
• Cache & Ephemeral State: Redis / Upstash with TTL.
• Vector Search: pgvector or Qdrant for semantic search.

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API Design Standards

REST — OpenAPI 3.1

openapi: "3.1.0"
info:
  title: "SaaS Multi-Service 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 (proto3)

syntax = "proto3";
package user.v1;

service UserService {
  rpc GetUser (GetUserRequest) returns (User);
  rpc ListUsers (ListUsersRequest) returns (stream User);
  rpc CreateUser (CreateUserRequest) returns (User);
}

message User {
  string id = 1;
  string email = 2;
  string name = 3;
  repeated string workspace_ids = 4;
}

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Microservice Patterns

Event-Driven (Saga Pattern with Compensations)

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 validate and update the primary relational database.
• Read side: Events project into read-optimized denormalized views or ClickHouse tables for high-frequency queries.

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AI-Native Backend Integration

import { generateObject } from 'ai';
import { anthropic } from '@ai-sdk/anthropic';
import { z } from 'zod';

app.post('/api/analyze', async (c) => {
  const { content } = await c.req.json();
  const { object } = await generateObject({
    model: anthropic('claude-3-7-sonnet-20250219'),
    schema: z.object({
      sentiment: z.enum(['positive', 'neutral', 'negative']),
      topics: z.array(z.string()),
      summary: z.string().max(200),
    }),
    prompt: `Analyze: ${content}`,
  });
  return c.json(object);
});

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Monorepo with Shared Types

// packages/types/src/index.ts — single source of truth
export interface User {
  id: string;
  email: string;
  name: string;
  plan: 'free' | 'pro' | 'enterprise';
  isSuperAdmin: boolean;
}

Production Security Checklist

• User inputs validated with Zod / Pydantic on the server.
• Parameterized queries enforced across all database layers.
• Rate limiting on all public endpoints (rate-limit-abuse-prevention).
• Super Admin routes strictly isolated to dedicated subdomain.

Orchestration & Integration

• Integrates with: js-backend-expert, go-programming-expert, python-programming-expert, rust-programming-expert, nextjs-app-router-expert, api-design-expert.

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Bahasa Indonesia

Deskripsi

Panduan pengembangan fullstack tingkat ahli multi-bahasa (TypeScript, Python, Go, Rust), desain kontrak API (OpenAPI 3.1, gRPC), pola arsitektur microservices (Saga, CQRS), dan monorepo shared types.

Matriks Arsitektur Polyglot 2026

• TypeScript: Hono, Fastify 5, NestJS (Serverless, Cloudflare Edge, Hono RPC).
• Python: FastAPI 0.115+, Django 5 (AI/ML, orkestrasi LLM, pipeline asinkron).
• Go: net/http (Go 1.25+), Gin (Microservices throughput tinggi, CLI).
• Rust: Axum 0.8, Actix-web 4 (Performa ekstrem, komputasi berat, WASM).

Pola Sistem Terdistribusi

1. Saga Pattern: Kompensasi rollback bertahap saat transaksi multi-layanan mengalami kegagalan.
2. CQRS: Memisahkan database tulis (PostgreSQL) dari view proyeksi baca (ClickHouse/Redis) untuk beban baca tinggi.
3. Monorepo Shared Types: Simpan definisi tipe bersama di packages/types sebagai single source of truth antara frontend dan backend.

Integrasi Orkestrasi

• Terintegrasi dengan: js-backend-expert, go-programming-expert, python-programming-expert, rust-programming-expert, nextjs-app-router-expert, api-design-expert.