Colin McNamara

A normal model is twelve editors who each read your draft once.

I wanted one place to decide which model answers and how hard it thinks.

A laptop, a single GH200, and a semantic router between them, built to answer trivial requests locally and send the hard ones to the big card.

I spent a night carefully A/B testing a model on a GH200.

Anthropic found a mental workspace inside Claude that shows what a model is thinking but not saying.

What two decades of engineering failure analysis taught me about protecting people.

Classical game theory assumes rational actors.

CitriniResearch wrote a sharp scenario about AI breaking the economy.

Built a 21,000-line Python detection engine for the two threats nobody else is covering: malicious insiders accelerating their attacks with AI tools, and autonomous agents that become the insider threat themselves

Andrej Karpathy's shift from 80% manual coding to 80% agent coding mirrors what many of us are experiencing.

A co-founder's 3-year journey from 4:30am panic attacks to 20% utilization - automating a $9M run rate CPG business with Claude Code, LangGraph, and AI.

AI coding agents reason more explicitly than human developers—then throw away all that reasoning after every session.

How Vercel's ISR caches POST requests by URL only, ignoring request bodies, and the simple fix that saved our A2A protocol endpoints

How I fixed 9 issues in my A2A implementation to make my blog truly discoverable and usable by AI agents, plus new endpoints for related posts and tag exploration.

Building the platform that makes agentic AI safe, observable, and auditable — three-layer architecture combining threat detection, autonomous development, and governance for regulated industries

Why the latest research on Nemotron-Flash validates what I've learned building AI pipelines: smaller, faster models often outperform their larger cousins in production

Live demonstrations of ros-mcp-server connecting Claude to industrial warehouse robots, complete with diagnostic testing and multi-robot orchestration.

An in-depth, conversational exploration of LangChain's DeepAgents 0.2 release, focusing on pluggable backends, composite backends, and building portable agent infrastructure

Exploring how BDH's biologically-inspired architecture and LangGraph middleware could help us define and measure consciousness in AI systems, inspired by Star Trek's Data

How the Superpowers plugin for Claude Code transformed my workflow from repetitive supervision to systematic, disciplined development—delivering productivity that exceeds what entire teams could achieve.

A real-world experiment in human-AI collaboration: upgrading a production application to LangGraph 1.0 using Claude Code agents.

An in-depth exploration of BDH, a revolutionary neural architecture that bridges artificial intelligence and neuroscience through locally interacting neuron-graph models with Hebbian-like learning rules

A comprehensive guide to Claude Code's extension ecosystem - Skills for portable tools, Subagents for parallel work, Agents for deployable automation, and MCP for connecting AI to external systems.

A response to Harrison Chase's vision for agentic interfaces, exploring how conversational development tools are transforming agent creation, and why the future is conversation-first, not visual-first.

The epic journey from Google's revolutionary graph processing to modern AI agent orchestration - a story of how we learned to coordinate millions of workers, then billions of data points, and now intelligent agents

A comprehensive study guide exploring LangChain's revolutionary Middleware abstraction that simplifies context engineering through before_model, after_model, and modify_model_request hooks

Exploring how Cloudflare's Code Mode revolutionizes MCP usage by leveraging TypeScript interfaces for deterministic execution, and comparing it to context management patterns in multi-agent systems

After researching Google's Agent-to-Agent (A2A) and Agent Payments Protocol (AP2), here are my notes on what these protocols actually do, how they work together, and what builders need to know about implementing payment-enabled AI agents

Deep dive into Qwen3-Next's groundbreaking architecture that achieves 10x training efficiency and matches models 10x its active size through hybrid attention and ultra-sparse MoE design

Deep dive into LangChain's revolutionary middleware system in v1-alpha, exploring how it transforms agent architecture with fine-grained control through before_model, after_model, and modify_model_request hooks

After maintaining Inbox Zero for an entire year with Superhuman, email transformed from a source of anxiety into my primary guaranteed communication system.

After enabling Agent-to-Agent protocol and updating robots.txt with Creative Commons attribution, I'm seeing promising traffic changes including referrals from ChatGPT and Perplexity

Practical guide to using deepagents: installation, creating agents, LangGraph integration, MCP support, and the exciting roadmap for future enhancements

Exploring the powerful built-in tools that make Deep Agents capable of complex tasks: planning tools, virtual file systems, sub-agent delegation, and extensive customization options

Diving deep into the technical components that underpin deepagents: LangGraph as the agent runtime and the custom DeepAgentState object that manages complex operations and persistent information

Exploring the evolution from simple single-step AI agents to sophisticated 'Deep Agents' capable of handling complex, long-horizon tasks with advanced planning and execution capabilities

Learn how to add scheduled post functionality to your Astro SSR site using GitHub Actions for daily rebuilds.

Learn how to create a custom sitemap endpoint for Astro SSR sites when the official sitemap integration can't discover your dynamic content.

Learn how to implement Google's Agent-to-Agent (A2A) Protocol on your blog or website, enabling AI agents to discover and interact with your content programmatically

A deep dive into the July 2025 security breach that exposed critical vulnerabilities in AI development tools and supply chain security

How FedRAMP 20x's 80% automation mandate creates unprecedented opportunities for AI observability platforms using OpenTelemetry

From FDA food safety compliance to agent swarm visibility—how Always Cool Brands taught us that ethical AI means doing what we intended

Building AI systems to accelerate product launches and automate compliance for Fortune 500 retailers

Nuclear Power, AI

Agents Talk to Agents

Technology professional analyzing AI security threats on multiple displays, showing advanced visualization of neural network attack patterns

Technology consultant analyzing AI workplace usage data and software development patterns

Professional photo showing urban planning and community development in Austin, focusing on short-term rental policy