◆ Microsoft Azure

Troubleshoot Proof Key for Code Exchange

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 taskCheck the logs for the 'auth-service-prod' application for any errors related to Proof Key for…+
Check the logs for the 'auth-service-prod' application for any errors related to Proof Key for Code Exchange (PKCE) from the last 2 hours. The mobile app is failing to authenticate.
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 I dive into the PKCE errors for 'auth-service-prod', summarize the common reasons why…+
Before I dive into the PKCE errors for 'auth-service-prod', summarize the common reasons why PKCE might fail in an application. I need to quickly narrow down the possibilities before I start digging through thousands of log lines.
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 mobile team is reporting widespread authentication failures due to PKCE, but when I check…+
The mobile team is reporting PKCE failures, but the logs aren't showing clear errors.
The mobile team is reporting widespread authentication failures due to PKCE, but when I check the 'auth-service-prod' logs, I'm not seeing explicit PKCE error messages. I'm afraid we're going to miss our critical release deadline for the app. Could the errors be manifesting indirectly, or am I looking in the wrong place for this specific type of issue? What's the most effective way to diagnose this without disrupting the live service?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI consistently lose too much time troubleshooting Proof Key for Code Exchange (PKCE) issues…+
Troubleshooting PKCE issues always takes me too long.
I consistently lose too much time troubleshooting Proof Key for Code Exchange (PKCE) issues across different applications. The logs are often vague, and the problem could be anywhere. What habit should I change to more systematically and quickly pinpoint the root cause of PKCE failures, instead of just guessing or trying random fixes?
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.