bredmond1019

I spent months optimizing my AI development pipeline before realizing the bottleneck was never the pipeline. It was my specs. Here's what I built, what broke, and why I now think planning before generating is the most important thing an agentic engineer can do.

I built a multi-agent orchestration system and watched it fall apart under real conditions. Here's what the architecture actually taught me about complexity, context, and reliability.

After building production multi-agent systems, I found that reliable agents share the same 7 fundamental patterns. No LangChain required — just clean software engineering and strategic use of the Anthropic SDK.

Build a real-time observability system for your Claude Code agents. Learn how to monitor multiple agents simultaneously, track their activities, and scale your AI engineering impact with complete visibility.

Learn how to optimize your Claude Code usage with smart model selection between Haiku, Sonnet, and Opus while preparing for the future with strategic tool diversification.

Learn how to orchestrate multiple Claude agents working in parallel, from architecture patterns to real-time monitoring and conflict resolution.

Transform Claude Code from a reactive tool into a proactive development partner using hooks for safety, automation, and real-time observability.

My journey from AI skeptic to building entire production systems with Claude Code. This isn't about replacing developers - it's about amplifying human creativity.

Have you ever wondered why ChatGPT forgets your name after every conversation? Or why your AI...

The Sixth Button That Broke My Workflow Last week, I opened Microsoft Excel and discovered...

Now comes the magic! In Part 3, we built an MCP server that can collect and analyze feedback. Today,...

In Part 1, we learned that AI systems are like smart orchestra conductors. Now, let's meet the...

Ever wondered what happens when you combine Rust's performance guarantees with enterprise AI...

Discover the 12 engineering patterns that transform AI agents from impressive demos into reliable production systems. Based on insights from 100+ production implementations.

Introducing a comprehensive platform for learning Agentic AI systems, available in English and Portuguese, with free learning paths and open source projects.

Ever wondered what happens when you combine Rust's performance guarantees with enterprise AI...

Congratulations on making it this far! You've built a complete AI system with an MCP server,...

Now comes the magic! In Part 3, we built an MCP server that can collect and analyze feedback. Today,...

It's time to get our hands dirty! In this part, we'll set up our development environment and create...

In Part 1, we learned that AI systems are like smart orchestra conductors. Now, let's meet the...

When most people think of AI, they imagine chatbots or sci-fi robots. But modern AI systems are far...

Introducing claude-sdk-rs v0.5: Type-Safe AI Integration for the Rust Ecosystem 🦀 As a...

Welcome to Part 3 of this mulit-part series. In this part of the series, we’re going to be looking at...

Welcome to Part 2 of my multi-part tutorial on building a React, Flask, and GraphQL application....

Hi all, I recently just posted an article on here -- a tutorial for Flask -- and I was having...

Introduction Welcome to my multi-part article on how to build a basic React Application...

Hi all, I created a very basic app just to try and test out authentication. I am using flask on...

A Little About Where I Come From I’ve always loved to learn. I want to know what makes...