Engineering insights from the AI frontier.

I'm Mos Ahmed. I write about building AI systems that actually work — from Claude Code implementations to production architectures. No hype, just honest engineering notes.

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Quick Bites • AI Fundamentals

Monte Carlo Method 🎲

A computational algorithm that uses random sampling to solve problems that might be deterministic in principle. Like throwing darts at a board to estimate π! Powers AlphaGo, reinforcement learning, and MCTS.

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Deterministic vs Non-Deterministic in LLMs

A first-principles breakdown of how LLMs produce deterministic probabilities but non-deterministic outputs, and practical strategies to control randomness in Claude Code.

Building Production AI Agents with Claude

A complete guide to implementing, deploying, and monitoring AI agents using Claude's latest capabilities. Includes cost analysis, error handling, and real-world performance metrics from production deployments.

Claude Code Skills: Extend Your AI Assistant

Learn to create reusable skills that extend Claude Code's capabilities. From SKILL.md format and resource files to discovery and best practices for building powerful custom workflows.