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.
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.
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.
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.
CitriniResearch wrote a sharp scenario about AI breaking the economy. But they only modeled labor substitution, not capability creation. Here's what's missing.
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. But as AI agents write most of our code, the observability and security gaps are becoming the real story.
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. Context graphs offer a framework for capturing decision traces and building organizational memory around AI-assisted development.
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. Plus insights from Contoro Robotics on solving the worst job in warehousing.
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. The wins, the fails, and what I learned about working with AI agents on complex technical tasks.
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.
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 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. Here's how 52 weeks of consistent email management changed everything.
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. This approach keeps your site performant while enabling content to go live automatically on scheduled dates.
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.
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