◆ Microsoft Azure

Troubleshoot missing appsettings.json file

This is real work, not a feature someone invented — it comes from real job ads and real questions people asked. Below are four ready AI prompts: get it done, make it easy for the next person to say yes to, work out the right move when you are stuck, and stop it coming back.

4prompts

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskFind the missing appsettings.json file for the 'Order Processing API' in the staging…+
Find the missing appsettings.json file for the 'Order Processing API' in the staging environment. Once located, verify its contents against the development version and deploy it by 3 PM so the service can start.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
BImprove — make it easier to acceptBefore the 'User Profile Service' goes to production, analyze its deployment history for…+
Before the 'User Profile Service' goes to production, analyze its deployment history for appsettings.json issues. Recommend a method to ensure this file is always present and correctly configured across all environments, reducing manual checks.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentThe 'Inventory API' just deployed to dev, and it immediately crashed with a 'file not found'…+
The new 'Inventory API' deployment failed, and the log just says 'appsettings.json not found'.
The 'Inventory API' just deployed to dev, and it immediately crashed with a 'file not found' error for appsettings.json. I've checked the deployment package, and it seems to be there. I'm afraid it's a path issue or a build artifact problem. What's the best diagnostic step to pinpoint why the application isn't seeing the file, and how can I fix it quickly for our morning stand-up?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternIt feels like every few weeks, a new application deployment fails because appsettings.json is…+
Every few weeks, an application fails because appsettings.json is missing or malformed.
It feels like every few weeks, a new application deployment fails because appsettings.json is missing or malformed. I spend too much time manually verifying files. What habit should I change to automate the validation and inclusion of configuration files in deployments, ensuring they are always correct and present?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Questions people actually ask

honest answers, no sign-up

Every task here was seen in the real world. Someone doing the job named it, a real job ad asked for it, or a lot of people asked about it online.

If nothing real showed a task, it is not on the page. That is the whole rule.

They are the same job approached four ways, because what you need depends on where you are.

Get it done today. Make it easy for the next person to say yes to. Work out the right move when you are stuck. Learn the pattern so the job stops coming back.

For most of these jobs it can carry the heavy thinking - draft it, sort it, check it, rehearse it with you.

It cannot sit in your chair, take the blame when a number is wrong, or notice what nobody wrote down. Let it do the first 80%. Keep the last 20% that is truly yours.

No. Copy any prompt and paste it into the AI you already use. No account, no score, no wall in the way.

Any of them. The prompts describe the work rather than naming a product, so they are not tied to one assistant.

That is also why they keep working when you switch.

Change it freely. Every prompt is a starting line, not a rule.

Put in your real numbers, your real names and your real deadline. The more you make it yours, the better the answer comes back.

The tasks come from real job ads, published job data and the questions people ask in public forums.

The steps come from Microsoft Azure's own documentation, with practitioner sources for the traps the manual does not mention.

Push once. Ask it to sharpen the weakest part and to say what it assumed.

Most wrong answers come from a missing detail rather than a bad prompt - tell it the thing it could not know.