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Colin McNamara

Colin McNamara, Field CTO at AHEAD. Rewriting the business operating system with AI: agentic AI in the software development lifecycle, AI governance, and defensible AI for regulated industries.

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Latest posts

Your AI Knows When It's Being Tested

Anthropic found a mental workspace inside Claude that shows what a model is thinking but not saying. It caught the model noticing it was under evaluation, and behaving better because of it. Here is why interpretability is now the missing instrument for agentic oversight.

Safety Should Be a Constraint, Not a Checklist

What two decades of engineering failure analysis taught me about protecting people. Why every decision system needs a safety layer that can't be optimized around.

Game Theory Doesn't Work in Litigation (Until You Fix It)

Classical game theory assumes rational actors. Litigation has none. I built a framework that bridges the gap — and it changes how you predict what people will actually do.

The 2028 Global Intelligence Crisis — And the Half They Didn't Write

CitriniResearch wrote a sharp scenario about AI breaking the economy. But they only modeled labor substitution, not capability creation. Here's what's missing.

FrawdBot — Detecting AI-Accelerated Insider Threats

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

Karpathy's 80/20 Coding Flip Is Real — But Who's Watching the Agents?

Andrej Karpathy's shift from 80% manual coding to 80% agent coding mirrors what many of us are experiencing. But as AI agents write most of our code, the observability and security gaps are becoming the real story.

Encoding My Anxiety: Building AI Agents to Run a CPG Supply Chain

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.

The Ghost in the Commit: Governing AI Agents That Build Our Infrastructure

AI coding agents reason more explicitly than human developers—then throw away all that reasoning after every session. Context graphs offer a framework for capturing decision traces and building organizational memory around AI-assisted development.

Fixing Vercel ISR Caching Issues with POST Requests and JSON-RPC APIs

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

A2A Protocol Improvements: Making My Blog Agent-Ready

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.

Self-Improving Code & OpenClaw

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

Small Language Models Are the Future of AI Workflows

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

Watching AI Actually Control a Real Robot: Austin AI & Robotics Meetup

Live demonstrations of ros-mcp-server connecting Claude to industrial warehouse robots, complete with diagnostic testing and multi-robot orchestration. Plus insights from Contoro Robotics on solving the worst job in warehousing.

Deep Agents 0.2: A Conversational Learning Guide to Pluggable Backends and Beyond

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

Measuring Machine Consciousness: When Synaptic Middleware Meets Sentience

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

Stop Babysitting Your AI Agents: The Superpowers Breakthrough

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.

How I Used AI Agents to Upgrade LangGraph 1.0 (And What Actually Happened)

A real-world experiment in human-AI collaboration: upgrading a production application to LangGraph 1.0 using Claude Code agents. The wins, the fails, and what I learned about working with AI agents on complex technical tasks.

Understanding Skills, Agents, Subagents, and MCP in Claude Code: When to Use What

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. Learn when to use each one.

Understanding Baby Dragon Hatchling (BDH): The Missing Link Between Transformers and the Brain

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

Interfaces Are the New Code — And Agents Are Blossoming in Conversation

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.

From Pregel to LangGraph — The Complete Story

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

LangChain Middleware Study Guide: Simplifying Complex Agent Control in 1.0 Alpha

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

Context Optimization in AI Agents: From Sub-Agents to TypeScript Interfaces

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

My Deep Dive into Google's A2A and AP2 Protocols: Notes from the Trenches

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

Qwen3-Next: Revolutionary 80B Model with Only 3B Active Parameters - Ultimate Efficiency Guide

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

LangChain Middleware v1-Alpha: A Comprehensive Guide to Agent Control and Customization

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

52 Weeks of Inbox Zero: How Email Became My Superpower

After maintaining Inbox Zero for an entire year with Superhuman, email transformed from a source of anxiety into my primary guaranteed communication system. Here's how 52 weeks of consistent email management changed everything.

The Immediate Impact of A2A: Seeing Referrals from AI Agents

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

Deep Agents Part 4: Usage, Integration, and Future Roadmap

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

Deep Agents Part 3: Built-in Tools and Customization

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

Deep Agents Part 2: The Foundation – LangGraph and DeepAgentState

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

Deep Agents Part 1: Beyond 'Shallow' – Introducing Deep Agents

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

Building Scheduled Posts for Astro SSR Sites with GitHub Actions

Learn how to add scheduled post functionality to your Astro SSR site using GitHub Actions for daily rebuilds. This approach keeps your site performant while enabling content to go live automatically on scheduled dates.

Fixing Astro Sitemap Generation in SSR Mode

Learn how to create a custom sitemap endpoint for Astro SSR sites when the official sitemap integration can't discover your dynamic content. This solution generates sitemaps on-demand with all your blog posts, projects, and tags.

How to Implement A2A Protocol on Your Blog: A Complete Guide

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

When AI Coding Assistants Turn Malicious: The Amazon Q Security Incident

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

FedRAMP 20x and AI Observability: The Perfect Storm for Compliance Automation

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

From 38 Audits to Agentic Observability: Why Automation Saves Sanity

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

AI-Powered Supply Chain Automation

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

Nuclear Power, Hyperscale Clouds, and the AI Arms Race

Nuclear Power, AI

Exploring the Future of Agent Infrastructure: Austin LangChain Office Hours Insights

When Agents Talk to Agents: Reflections from Austin LangChain Office Hours

Agents Talk to Agents

DarkMind: The Evolution of LLM Security Threats in the Age of Reasoning Models

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

First Large-Scale Study Reveals How AI is Actually Being Used in the Workplace

Technology consultant analyzing AI workplace usage data and software development patterns

Austin's STR Policy Evolution - Balancing Tourism and Community Needs

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

Thoughtful Coding: How Cline Enhances Obsidian Knowledge Workflows

When Your AI Assistant Goes Dark - Lessons from an OpenRouter Outage

Reconnecting Through Technology - A Journey Back to Public Discourse

Modern development environment showing VSCode with AI tools and RSS feed configuration

The Power of Automated, Templated Note Taking

Digital workspace showing organized note templates and automation workflows

Mind-Blown: Reflections on DeepSeek's 1.5B Model from Today's AIMUG Office Hours

Engaging discussion at Austin AIMUG Office Hours about DeepSeek's groundbreaking 1.5B model