AI development what I ship and how

When a website needs machine learning, and when rules, filters, and search are enough. A product decision before you hire for AI.

How to integrate a machine learning model into a Next.js product: API vs worker shapes, a thin first slice, and a hire checklist — without boiling the

Apakah Cursor AI gratis? Jawaban jujur untuk freelancer: kapan jalur hemat cukup, kapan Pro terasa, tanpa angka harga palsu.

Kapan template cukup untuk website company profile, kapan bayar custom. Cara membaca penawaran tanpa terjebak katalog tema.

Checklist sebelum DP untuk jasa pembuatan website Jakarta. Bedakan vendor murah vs tim yang bisa maintain dan SEO. Kapan Next.js masuk akal.

What it costs to hire a Next.js developer: scope, experience, location, and engagement model. How to read a quote without fake average rates.

Cursor vibe coding that ships: brief, generate, run, tighten, commit. Habits with review so speed today does not become a rewrite tomorrow.

Cursor MCP for shipping: keep a few servers that help a real Next.js repo, verify each one, and skip marketplace pile-ons.

Cursor AI Indonesia for me is teaching teams a shipping practice. One real repo, project rules, review the diff, then the Level up door.

AI agent development worth shipping starts with one job, named tools, and a stop. A science fair loop is not a product.

Before you buy AI integration services, name the surface, the data, and the write path. The model brand is the easy part.

RankMySEO open beta is live this week. The hosted MVP is clickable: Overview, Keywords, background rank checks, and history that sticks. Not billed. No Stripe.

AI chatbot development that fits a Next.js app is a route, a stream, and tools you can name. Not a chat demo glued on the side.

Same family name, two products. The open-source toolkit lives in your repo. The private SaaS stores SERP history for you. Here is the honest split, the Competitors tab matrix, and how open beta next week fits.

I built a hosted RankMySEO next to the open-source toolkit so you can own daily SERP history without running the tracking stack yourself. Here is the clickable MVP, what Overview and Keywords already do, and how open beta next week works.

People mix up “SEO for AI,” “SEO for LLMs,” and GEO like they are one thing. They are not. Classic SEO still ranks blue links. SEO for AI is clarity and structure for machines. GEO is about getting cited in generative answers. Here is the plain split, and what I am building with RankMySEO.

Buying Cursor seats for the whole team on Monday is not a rollout. Here is the 30-day plan I actually use with client teams: a small group, shared rules, one repo, and a review habit before you scale.

Cursor Composer writes a confident summary. The diff still sneaks in extra files, a duplicate helper, and skipped tests. Here is the PR review checklist I actually run on AI-generated code.

“Build me an app” is how Cursor invents a stack, extra packages, and no tests. Here is the small-app loop I actually use: one slice, your stack, a fence, then Chat, Composer, review.

Orang googling cara menggunakan Cursor AI, skip pagar, lalu Accept. Seminggu kemudian repo klien penuh package baru, utils2, dan diff yang nggak ada yang berani review. Ini loop yang saya pakai.

Empty rules plus “build me X” is how Cursor invents a package your repo does not have. Project rules are the fence. Here is what I actually put in them on client work.

Cursor Chat vs Composer: I open Chat when I am lost, Composer when I can name the files. Same model, different job. My loop on real repos.

Effective Cursor use is not a greenfield demo. It is a messy client repo: monorepo, local conventions, folders you must not touch. Here is how I scope, rule, and review so the PR still looks like the codebase a month later.

Most Cursor AI tutorials start at hello world. This one does not. If you already ship production code and you just opened Cursor, here is the first-week loop I teach: plan, scope, generate, review. Chat vs agent, one invoices CSV example, and the mistakes that make new users look fast and messy.

Orang googling apa itu Cursor AI lalu dapat jawaban “chatbot buat nge-code”. Kurang pas. Cursor itu editor. AI-nya hidup di dalam proyek yang kamu buka, bukan di tab browser. Ini penjelasan praktis yang saya kasih ke mentee sebelum mereka install.

People treat cursor ai vs copilot like a brand war. I treat it as a job split. Cursor for the agent, multi-file edits, and repo chat. Copilot when inline complete in VS Code is already enough. This is how I pick for client work.

Cursor costs $0 to $200 a month for one person and from $30 per seat for teams. What each plan includes, and why Claude or GPT usage is billed on top.

How to use Cursor AI in a practical production workflow: plan, scoped diffs, hard review, and tests, so you ship faster without wrecking the codebase.

AI sekarang bisa membuat aplikasi dengan cepat — tinggal ketik prompt, langsung jadi. Tapi, ada harganya. Karena kecepatan itu, ada beberapa hal yang sering terlewat: duplikasi function, query yang seharusnya penting tapi diabaikan, dan pemilihan teknologi yang kurang tepat. Nah, inilah yang disebut technical debt — biaya tersembunyi dari pengembangan yang terlalu cepat. JENIS TECHNICAL […]

Mungkin teman-teman sudah mengetahui tentang Skema Unlimited baru dari cursor.com, yang mana sekarang sudah enggak ada lagi tuh yang namanya slow-request 😀 Lalu apa yang membedakan Skema lama dengan Skema baru? Dan kenapa Skema terbaru ini cukup fair. Tentang Skema Harga Terbaru Untuk harga biaya Cursor sendiri ada penambahan, yakni sekarang ada plan Pro, Pro+, […]