Two Tough Tasks, One Common Thread — Week 18 Roundup

This week didn't start with a plan. It started with a Slack message.

A teammate dropped a bug report into the channel — vague reproduction steps, one screenshot, and a note that it was "probably intermittent." The kind of ticket that usually sits in the backlog for three weeks because nobody wants to touch it. I'd normally have opened the code, skimmed for obvious culprits, and then moved on to something easier. But this time I tried something different.

I handed the raw bug report to an AI and asked it to do one thing first: tell me what information was missing before we could even attempt to reproduce it. That reframe changed everything. Instead of guessing where to dig, I had a structured list of gaps — missing environment details, undefined user state, no network conditions. I went back to the reporter with specific questions. Within an hour we had a reproducible case.

That got me thinking about a pattern I keep running into: the hardest part of a hard task is usually the framing, not the execution.

The second thing I wrote about this week followed the same logic. Explaining complex code to a team isn't a documentation problem — it's a translation problem. The code makes sense to the person who wrote it. It makes no sense to anyone arriving cold. Using AI to generate a first-pass plain-English walkthrough, then editing it for accuracy, sidesteps the blank-page paralysis that makes internal documentation die on the vine.

Both tasks — bug triage and code explanation — felt like they were about different things. But they shared the same failure mode: the person closest to the problem struggles to see what's confusing about it. AI gives you a second perspective that doesn't carry your assumptions.

That's the thread I keep pulling on. Not "AI does the work for me" — but "AI shows me what I'm not seeing."

Week 19 is already shaping up to be busier. I'll be writing about it either way.

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