Changelog

Support for Postgres 17

We're excited to announce that Neon now supports Postgres 17. To start using Postgres 17, create a new Neon project and select 17 as the Postgres version. For detailed instructions, refer to our Create a project guide.

If you need to migrate data from an existing Neon project to one running Postgres 17, check out our Upgrading your Postgres version guide for supported migration options.

As always, it's important to thoroughly test before migrating production data or applications. We recommend reviewing the key changes in Postgres 17, which you can find in the Postgres Release 17 documentation.

Early Access to AI Features in Neon SQL Editor

Join our Early Access Program to try out the AI features we're testing in the Neon SQL Editor.

Explore three AI-driven features:

• SQL generation: Convert natural language requests to SQL with ease. Press the ✨ button or use Cmd/Ctrl+Shift+M, type your request, and the AI assistant will generate the corresponding SQL. It’s schema-aware, so you can reference table names, functions, and other objects in your schema.
• Fix with AI: When your query returns an error, click Fix with AI next to the error message. The AI assistant will analyze the issue, suggest a fix, and update the SQL Editor so you can run the query again.
• AI-generated query names: Queries in the Neon SQL Editor's History are automatically assigned descriptive names. This feature helps you quickly identify and reuse previous queries.

A new Postgres toolkit for AI agents and test environments

We're excited to announce an experimental release of the @neondatabase/toolkit (@neon/toolkit on JSR). This toolkit lets you spin up a Postgres database in seconds and run SQL queries. It includes both the Neon API Client and the Neon Serverless Driver, making it an excellent choice for AI agents that need to quickly set up an SQL database, or for test environments where manually deploying a new database isn't practical.

With a few lines of code, you can create a Postgres database on Neon, run SQL queries, and tear down the database when you're done. Here's a quick look:

import { NeonToolkit } from "@neondatabase/toolkit";

const toolkit = new NeonToolkit(process.env.API_KEY!);
const project = await toolkit.createProject();

await toolkit.sql(
  project,
  `
    CREATE TABLE IF NOT EXISTS
        users (
            id UUID PRIMARY KEY,
            name VARCHAR(255) NOT NULL
        );
`,
);

await toolkit.sql(
  project,
  `
    INSERT INTO users (id, name) VALUES (gen_random_uuid(), 'Sam Altman');
`,
);

console.log(
  await toolkit.sql(
    project,
    `
    SELECT name FROM users;
`,
  ),
);

await toolkit.deleteProject(project);

As with all of our experimental features, changes are ongoing. If you have any feedback, we'd love to hear it. Let us know via the Feedback form in the Neon Console or our feedback channel on Discord.