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Once we're satisfied with the adjustments to the migration file, we can just run a regular `migrate dev` to have it applied.

The resulting migration file is created but not yet applied.

This is where we can step in and adjust the file to do whatever is needed. 

For example, perhaps we want to create a new field called `fullName` which is the result of combining `firstName` and `lastName`.

One of the most common workflows is to run `npx prisma migrate dev` which will:

1. Create a migration file
2. Apply the migration

To be able to intervene with the migration before it's applied, we need to pass `--create-only`

Prisma Migrate *just works*.

It takes your schema, produces migration files from it, and then applies the migrations to your database.

But sometimes you might want to step in to customize the migration before it runs.

Here's a quick look at how to do that with Prisma Migrate 👀

A buggy app is one thing. A buggy database with corruption is another.

Constraints are a big help. Simple examples:

✅ UNIQUE (user_id, billing_period)
✅ CHECK (price >= 0)
✅ EXCLUDE USING gist (timespan WITH &&)

Use them to your advantage ✌️

We'd been asking Gemini for keywords when it made a website. The model just locked into that task completely: it was spending its whole response on thousands of keywords

Just used chat gpt to make a little Automator app that I could drop mp4s onto to speed them up /compress them for social media (diy ffmpeg wrapper)

Don’t sleep on Automator

3 Xcode project pitfalls that sabotage developer productivity:
- Crawling build times
- Lagging test suites
- Unreliable tests

Tuist is your solution to all three. More engineering power isn't the answer—let us show you why. Enjoy the first three months on us.

Shoot us a DM

I am looking to chat with Software Engineers that work in physical systems (robots, drones, aircraft, etc) and can tell me more about the data problems you face. Bonus point if you use or consider using SQLite.

We'd love to understand how our rewrite of SQLite can help you!

At the end of the day, it's all highly dependent on your use case though, what are you building?

Lastly, Inngest has great coverage from our local dev server which runs on your machine for fast iteration and cloud observability with metrics and traces. Your code can run on any cloud or infra and it scales to billions of executions a month.