What if your next Django project went from zero to production-ready in 15 minutes instead of a full day? Marc Gibbons talks about an AI workflow that scaffolds a Django project, configures GitHub branch protection, sets up CI, adds testing, and automates dependency management.

LLMs are inherently unsafe, but it's easy to get lulled into using them in unsafe ways. In this clip @unbracketed, uses a simple power tool analogy to explain AI agent risk in a way that's immediately intuitive, even to non-technical folks.

When AI mandates become money burning machines 🔥💸 @gwadeloop & @ipmb discussing how they see orgs using AI in useless or inefficient ways.

Tired of AI not really following the instructions you give it in CLAUDE․md? Wish it had superpowers instead? In this clip, Marc Gibbons talks about the skills framework, “superpowers” and how it improved his LLM-driven code workflow.

Deploying Django with DEBUG=True leaks stack traces, settings, and config to the whole internet, and slows your app down. James Osgood on why it's risky and how to fail closed so DEBUG=False stays the default: lincolnloop.com/blog/setting…

Django 6.0’s new Tasks framework makes background processing simpler. Here’s how to run async work without the extra infrastructure. lincolnloop.com/blog/django-…

Make your charts pop! Here are 10 smart ways to adapt brand colors for data visualization 🌈 lincolnloop.com/insights/10-…