Program untuk membangun aplikasi web modern dengan TypeScript end-to-end, dari frontend, backend, database, hingga integrasi AI seperti streaming UI, structured output, tool calling, dan workflow automation.
Dimulai
13 June 2026
Kelas live setiap Sabtu dan Minggu pukul 10.00 WIB.
Why TypeScript
Pengembangan aplikasi AI tidak lagi hanya soal memanggil model. Pekerjaan produk yang sebenarnya ada di sekitar model: typed data, UI state, streaming response, tool execution, permission, logging, dan deployment. TypeScript memberi student satu bahasa dan satu type system untuk membangun seluruh permukaan produk tersebut.
Program Focus
Fullstack TypeScript architecture
AI SDK integration
Streaming chat and generative UI
Tool calling and workflow automation
Week 1
Modern JavaScript review, runtime mental model, and package management
TypeScript fundamentals, interfaces, generics, and type design
Project setup with Vite, PNPM, linting, formatting, and Git workflow
Week 2
HTTP fundamentals, routing, handlers, middleware, and error boundaries
Request validation with Zod and typed API contracts
Building clean endpoints that are ready to connect with frontend and AI features
Week 3
PostgreSQL fundamentals, schema design, relations, and migrations
Prisma workflow for queries, transactions, and maintainable data access
Designing data models for products that include AI-generated content
Week 4
React components, forms, routing, and state boundaries
TanStack Query for server state, caching, mutation flow, and loading states
Building product screens that stay responsive while backend work happens
Week 5
Authentication, authorization, session handling, and protected routes
File uploads, object storage, and user-owned resources
Environment variables, deployment workflow, and basic observability
Week 6
OpenAI JavaScript/TypeScript SDK and provider-agnostic AI SDK patterns
Prompt design, structured output, schema validation, and fallback handling
Designing AI calls as product features, not isolated demos
Week 7
Streaming text responses from API routes into React UI
Chat UX, message state, optimistic UI, and failure recovery
Generative UI patterns for summaries, drafts, copilots, and review flows
Week 8
Tool design, tool input schemas, approval flow, and safe execution boundaries
Connecting AI features to database operations and internal services
Building automation workflows with logs, retries, and clear user feedback
Week 9
Document ingestion, embeddings, retrieval flow, and practical RAG architecture
Evaluation harness, test prompts, regressions, and quality checks
Cost control, rate limits, model selection, and abuse prevention
Week 10
Build a production-minded AI-integrated fullstack application
Present architecture, tradeoffs, and deployment decisions
Mentor review for code quality, product judgment, and next steps
The order of the curriculum may change, but everything listed in the curriculum will be learned.
Typed Fullstack Skill
Build frontend, backend, API contracts, and database access in one coherent TypeScript workflow.
AI Product Integration
Integrate LLMs into real product surfaces with streaming UI, structured output, and tool calling.
Production Judgment
Understand auth, permissions, deployment, observability, cost control, and failure states for AI features.
Interdisciplinary Software & AI Engineer
Investment
IDR 1.799.000
Normal Price IDR 2.399.000
Hemat IDR 600.000 sampai 25 Mei 2026
Batch dimulai Sabtu, 13 Juni 2026. Kelas berlangsung 2 kali per minggu, setiap Sabtu dan Minggu pukul 10.00 WIB.
20 Sessions of Live Classes
2x One-on-One Session with Mentor
Auto Assignment Reviews
Lifetime Access to Recording Classes
Supplementary Free Course in Platform
Completion Certificate
We will send the Onboarding document at 25 of May.
Form Pendaftaran
Payment Info
Silakan transfer sesuai nominal earlybird. Setelah pembayaran, kirim bukti transfer melalui WhatsApp admin agar seat kamu bisa dikonfirmasi.
2711416830
Indra Zulfi
Nominal Transfer
IDR 1.799.000
Earlybird sampai 25 Mei 2026
Schedule
Saturday and Sunday - 10.00 WIB
Starts Saturday, 13 June 2026
Duration
10 Weeks
2 live sessions per week
Prerequisites
Basic HTML, CSS, and JavaScript
TypeScript will be taught from the foundation
Format
100% Online Live Interactive Classes
Live class, assignment, review, and mentoring
Final Output
AI-integrated fullstack application
A deployable project for portfolio and review
Stack
React, Hono, PostgreSQL, TypeScript
With AI SDK, Zod, Prisma, and deployment workflow
One Language Across the Product
TypeScript lets students share types, schemas, and product assumptions across frontend, backend, and AI integration code.
Built for AI-Integrated Apps
The curriculum focuses on the hard parts around the model: UI state, streaming, tools, data access, auth, and deployment.
Modern Web Stack
Students work with React, Hono, PostgreSQL, Prisma, Zod, TanStack Query, and AI SDK patterns used in current product teams.
Mentor-Led Feedback
Live classes, assignments, and 1-on-1 sessions give students direct feedback on architecture, code quality, and product decisions.
Discord Community
Learn alongside Devscale students and alumni in a focused engineering community.
Assignment Feedback
Submit work, receive feedback, and improve through practical iteration instead of passive watching.
Mentor Guidance
Use 1-on-1 sessions to discuss technical blockers, project direction, and career context.
Related Reading
Career direction
Kenapa program ini fokus ke LLM product harness, bukan model training dari nol.
Program direction
Alasan Devscale mengalihkan fokus program publik dari Python ke full-stack TypeScript.
Untuk program publik Devscale, iya. AI-Enabled Python kami sunset agar fokus kurikulum berikutnya lebih tajam ke TypeScript dan fullstack AI-integrated application development. Python tetap bagus dan tetap relevan, terutama untuk data, automation, machine learning, dan eksperimen model. Namun untuk membangun produk web modern dengan UI, backend, database, auth, streaming, dan AI feature dalam satu workflow, kami memilih TypeScript sebagai fokus utama.
Tidak harus. Kamu perlu nyaman dengan dasar HTML, CSS, dan JavaScript terlebih dahulu. TypeScript akan dipelajari dari fondasi, mulai dari type dasar, interface, narrowing, generics, sampai cara memakai type untuk menjaga API contract, schema, dan data flow di aplikasi fullstack.
Cocok untuk beginner yang sudah punya dasar web development. Program ini bukan mulai dari nol absolut, jadi kamu sebaiknya sudah memahami struktur HTML, styling CSS, JavaScript dasar, function, array, object, dan async dasar. Jika belum, kamu tetap bisa mendaftar, tapi kami sarankan menyelesaikan materi dasar web terlebih dahulu sebelum batch dimulai.
Tidak. Fokus program ini bukan melatih model dari nol. Fokusnya adalah membangun aplikasi yang mengintegrasikan AI ke dalam produk: memakai LLM API, AI SDK, structured output, streaming UI, tool calling, workflow automation, retrieval, evaluation sederhana, dan production safety. Jadi arahnya lebih dekat ke AI product engineering daripada machine learning research.
Final project berupa aplikasi fullstack TypeScript yang punya fitur AI nyata. Contohnya bisa berupa internal tool dengan AI assistant, knowledge base dengan retrieval, workflow automation dengan tool calling, document review system, atau product copilot. Yang dinilai bukan hanya AI-nya, tapi juga arsitektur aplikasi, database design, UX, auth, deployment, error handling, dan keputusan teknisnya.
