Lincoln Loop

Perfect-fit software. Designed for ambition. Built to last.

[Lincoln Loop @LincolnLoop]

You can generally trust your CMS administrators not to delete a ton of pages from your site, but can the same be said for agents acting on their behalf? How do we lock down agents while still giving humans the control they need?

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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.

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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.

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When AI mandates become money burning machines 🔥💸

@gwadeloop & @ipmb discussing how they see orgs using AI in useless or inefficient ways.

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@epicserve Yep! Thanks for linking.

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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.

[Lincoln Loop @LincolnLoop]

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:

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