AI for Developers

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AI for Developers

Understand Your Tools: Unpacking Bias in Generative AI

LLMs can embed and magnify racism, ableism, and sexism. Bias in Generative AI isn’t just a technological problem: it’s a human one.

AI for Developers

Large language models like Claude and GPT captured the public imagination — but they're fundamentally designed to produce average outputs.

AI for Developers

I've started using Cursor—an AI-native code editor—to build a searchable knowledge base for my projects. It’s made a noticeable difference.

AI for Developers

It seems every major service provider is racing to release MCP compatibility right now - with some implementations more useful than others.

AI for Developers

AI Prompting is a strategic art. Think of each AI prompt as an opportunity to shape how the LLM thinks, not just what it outputs.

AI for Developers

Apply your software engineering skills to LLM development. Learn to treat models as 'fuzzy functions' to build robust and testable AI systems

AI for Developers

With OpenAI's recent introduction of Codex, I decided it was the perfect opportunity to refactor a previous AI project.

AI for Developers

When someone is looking to become more open to using AI, they may want to take these points into consideration.

AI for Developers

Atomic offers a Technical Due Diligence service, often used by VC firms funding startups. Here's how we've added AI to that workflow.

AI for Developers

I wanted to know how well a Cursor Agent could help me write a set of Blender scripts. Let's see how I tested the limits of Blender scripting.

AI for Developers

Let's explore using AI to transform a basic web scraper into an automated information processor or content parser.

AI for Developers

From LLM Only to RAG app, let's look at each of four examples of LLM architecture that incorporate LLMs at varying levels of complexity.