Automate Instagram Post Using Claude Code

Imagine building a fully functional Instagram posting system that handles stories, reels, carousels, and images—all without manually writing a single line of code. Thanks to AI, this is now a reality. Developer Lakshit Ukani recently showcased how to build and deploy exactly this kind of enterprise-grade application using Anthropic's Claude Code and the official Meta API.

Here is a breakdown of how this powerful automation tool comes together.

The Tech Stack

To bring this automation platform to life, the architecture relies on Next.js for the frontend and backend, Supabase for the database, and the official Meta API for publishing. The secret weapon tying it all together is Claude Code, an AI tool integrated directly into IDEs like Cursor or VS Code.

Step 1: Generating the Application with Claude Code

Instead of manually coding components, the development process starts by installing Claude Code via the terminal. By feeding a plan.md file containing the project's entire context into Claude, the AI generates the whole codebase. This includes a complete user dashboard, a chronological posting history log, and a media gallery for storing assets.

Step 2: Database Configuration with Supabase

The app needs a secure place to store user credentials, galleries, and post histories. By creating a Supabase project, you can run pre-made SQL migration files to automatically set up all your database tables. Afterward, you simply grab your anonymous public key, service role secret, and database URL, plugging them directly into your local environment variables.

Step 3: Navigating the Meta API

Relying on third-party APIs can be risky and expensive, so this project connects directly to the official Meta API.

• First, you create a business app on the Meta Developer portal and set up an Instagram Tester account.

• Next, you generate a Graph API access token with specific permissions (like instagram_content_publish and pages_manage_engagement).

• Crucially, you must use the Access Token Debugger to extend your token's lifespan from one hour to two months so your platform stays seamlessly connected without requiring constant re-authentication.

Step 4: Pushing to Production

Once everything is running smoothly in your local environment, you push the code to a GitHub repository. From there, you can deploy the application globally in just a few clicks using Vercel.

The Final Product & Future Scope

The resulting platform is highly flexible, giving users three different ways to upload content: from a local file, a pasted URL, or a saved gallery. Because it runs on reliable infrastructure, businesses are already actively using this exact system.

Looking ahead, this codebase isn't just limited to Instagram. The architecture is primed to expand into Facebook and LinkedIn integrations, automated commenting, and DM automation all from a single platform