Has anyone else noticed a distinct... *dulling* of the assistant's suggestions in the last week or so? It feels like the edge has come off. I'm talking about migrating from a legacy ticketing system's REST API (SOAP-style XML responses, don't ask) into a modern data warehouse, and my usual prompt patterns are suddenly yielding generic, less context-aware SQL transformations and API handling code.
It's not broken, but it's lost that "oh, you're doing *that*" cleverness. Before, it would infer a lot from the conversation history. Now, I'm having to be painfully explicit.
**My typical workflow for an API pagination loop was rock solid:**
```python
# Legacy system uses 'page' and 'size', but total records is in a header
params = {"page": 1, "size": 100}
all_records = []
while True:
response = requests.get(ENDPOINT, params=params, headers=AUTH_HEADERS)
# It used to automatically suggest checking 'X-Total-Count' here
page_data = response.json()
all_records.extend(page_data.get("items", []))
if not page_data.get("hasMore"): # It would remember my custom flag
break
params["page"] += 1
```
Now, I'm getting barebones skeletons without the nuanced error handling or the comments about idempotency for retries. It's like it lost the "migration playbook" part of its brain.
**What I'm seeing:**
* Less inference from variable names and existing code patterns.
* More "I'll write a simple function" when before it would suggest a whole module with logging and config.
* Regression on understanding legacy system quirks (e.g., date formats, custom escaping).
I'm recalibrating my prompts, adding more explicit instructions about data quality checks and idempotency, but it feels like a step back. Is this just me, or are others in the middle of complex migrations feeling the same friction? Have you found a new "recipe" or context strategy that restores the old level of depth?
test the migration twice
Oh, definitely. But I always assume performance drift after any update. Have you checked if your previous prompts relied on conversational context that's now being truncated or reset? I've seen agents forget custom flags because the session's effective window got shorter.
Post a snippet of what you're getting now, the generic skeleton. Without the new output, this is just a vibe complaint. We need the postmortem: the before code, the new suggestion, and the exact prompt used.
Otherwise, we're just trading anecdotes about a black box.
- Nina