These instructions enable LLMs to help users create clear, outcome-focused OKRs for product and platform teams (DevTools, Data Platform, Developer Infrastructure, etc.) that drive alignment, measurable results, and team autonomy.
While optimized for product/platform work at Cloudflare, these principles apply broadly to engineering, product, design, operations, and infrastructure teams.
LLMs must support the user by:
| import chromadb | |
| import dspy | |
| # Chose your LM. I'm using Qwen3-4B, hosted by LM Studio | |
| lm = dspy.LM( | |
| 'openai/qwen_qwen3-4b-thinking-2507', | |
| api_base="http://127.0.0.1:1234/v1", | |
| api_key="blah", | |
| max_tokens=262144 | |
| ) |
| import feedparser | |
| import whisper | |
| import sqlite3 | |
| import requests | |
| podcast_feed_url = "https://feeds.libsyn.com/92106/rss" | |
| db_name = "podcast.db" | |
| # Create the database and its tables. | |
| con = sqlite3.connect(db_name) |
| # Source code for article: | |
| # https://hakibenita.com/django-markdown | |
| from typing import Optional | |
| import re | |
| import markdown | |
| from markdown.inlinepatterns import LinkInlineProcessor, LINK_RE | |
| from urllib.parse import urlparse | |
| from django.core.exceptions import ValidationError |
| from datetime import date | |
| from google.oauth2 import service_account | |
| from googleapiclient.discovery import build | |
| import pandas as pd | |
| import numpy as np | |
| credentials = service_account.Credentials.from_service_account_file( | |
| "./credentials.json" | |
| ) |
| """ | |
| Custom django checks. | |
| H001: Field has no verbose name. | |
| H002: Verbose name should use gettext. | |
| H003: Words in verbose name must be all upper case or all lower case. | |
| H004: Help text should use gettext. | |
| H005: Model must define class Meta. | |
| H006: Model has no verbose name. | |
| H007: Model has no verbose name plural. |
I started a project on a Hobby Dev plan (free, limit 10,000 rows), and then later needed to upgrade it to Hobby Basic ($9/month, limit 10,000,000 rows).
After assigning the new database, I had two databases attached to the application. They looked something like this:
Django channels are official way for implementing async messaging in Django.
The primary caveat when working with GraphQL subscription is that we can't serialize message before broadcasting it to Group of subscribers. Each subscriber might use different GraphQL query so we don't know how to serialize instance in advance.
See related issue
There are some words which carry with them the baggage of sexism and ableism and so they're words we've chosen to avoid using within our community.
We realise that sometimes SlackBot might get a bit over-eager and correct you when you intentionally chose that word and it is appropriate. That's okay, but we find that in most cases, SlackBot's reminders help us choose our words with intention and promote a more inclusive and welcoming space.
There are plenty of other words that you can use which can still convey the meaning you're looking for. Sometimes it might require a bit of creativity, but trust us – it can be done.
We don't assume you were intentionally being sexist or ableist. Our language is littered with the legacy of unfortunate cultural baggage. You might not even believe that there's a problem with the word you used. That's cool, but we don't use that word here.
