Session-Aware AI Agents: Why Session Is the New Unit of Compute
AWS, Microsoft, and Google are all rebuilding agent runtimes around the session — not the request. Here's what this architectural shift means for teams building production AI systems.
#ai-agents
18 posts
AI Agent Governance: The ROI Problem Nobody Is Actually Solving
JetBrains surveyed 11,000 developers — 90% use AI at work but can't measure ROI. This is the cloud adoption problem repeating itself. Here's the governance framework that actually works.
Hermes Agent: The AI OS with 8 Temporal Loops That Actually Gets Smarter
I spent 3 hours reading Hermes Agent source code — and discovered why most AI agents never improve. A deep dive into its 8-loop temporal architecture that makes AI compound over time.
Adopting Hermes Agent as a Tech Lead: Team Rollout, ROI, and Pitfalls
A Tech Lead's guide to evaluating, piloting, and scaling Hermes Agent adoption across an engineering team — with ROI calculations, change management tips, and common failure modes.
Hermes Agent: Complete Installation and Configuration Guide (2026)
Step-by-step installation guide for Hermes Agent — from prerequisites to first skill creation, with troubleshooting tips and production-ready configuration examples.
Designing Your Hermes Agent Skill Tagging System: A Complete Flow Guide
How to design an effective skill tagging and retrieval architecture in Hermes Agent — taxonomy design, tag hierarchies, retrieval optimization, and real-world tagging examples.
Hermes Agent Architecture Deep Dive: The 8 Temporal Loops Explained
A technical deep dive into Hermes Agent's 8-loop temporal architecture — how each loop works, what triggers it, and how they compound to create an AI system that improves with use.
Building a QC Agent with Hermes: Automated Quality Control for Engineering Teams
How to build an automated quality control agent using Hermes — from code review automation to regression detection, test coverage analysis, and continuous quality improvement.
Hermes Agent Coding Flow: How to Design Your AI-Assisted Development Workflow
How to design a Hermes Agent coding workflow that learns your codebase, accumulates reusable patterns, and accelerates feature development over time.
Governing AI Agents in Production: What Microsoft's New Toolkit Gets Right
Microsoft released the Agent Governance Toolkit on April 3, 2026 — seven packages covering policy enforcement, cryptographic identity, runtime isolation, and compliance automation. Here's a practical breakdown from someone building production agents.
MCP at 97 Million Installs: The Protocol That Quietly Became AI Agent Infrastructure
Anthropic's Model Context Protocol crossed 97M installs in March 2026. As a Technical Lead who's been building with MCP since early days, here's what that milestone actually means — and why every developer building AI systems needs to understand it now.
OpenAI Responses API: Building Production-Grade Agentic Systems in 2026
OpenAI just extended the Responses API with a shell tool, hosted container workspace, context compaction, and reusable agent skills. Here's what this means for teams building real agentic workflows — with hands-on examples.
Tech Digest — April 1, 2026: AI Coding War, Supply Chain Security & Engineering Leadership
This week's top reads for Tech Leads & Engineers: the AI coding tools war heats up, Stripe's autonomous agents ship 1,300 PRs/week, software supply chain becomes the #1 attack vector, and engineering leadership rethinks itself.
Dapr Agents v1.0: The Missing Infrastructure Layer for Production AI
The CNCF just made Dapr Agents v1.0 generally available. After years of AI agent frameworks focused on intelligence, here's one that focuses on survival — durable workflows, state management, and production-grade reliability on Kubernetes.
Data Is the Lifeblood of the AI Agents Era: Why AI Skills + Data Skills Are Inseparable
When everyone uses AI/Agents, models become a commodity. That's when Data becomes the real differentiator — deciding whether your agent runs 'for fun' or 'accurately, optimally, and consistently'. AI Skills and Data Skills are an inseparable duo.
What Production AI Agents Actually Look Like in 2026 — Not the Demo, the Reality
Gartner says 40% of enterprise apps will embed AI agents this year. But 40% of agentic projects will be scrapped by 2027. Here's what separates the teams that ship production agents from those that get stuck in pilots forever.
The Technical Lead in 2026: From Writing Code to Orchestrating AI Agents
94% of engineering leaders report agentic AI skills gaps. Here's what the tech lead role actually looks like in 2026 — and the skills you need to stay relevant.
The Autonomous Software Team Field Guide: From Manual Workflows to AI-Driven Development with NanoClaw
A practical, hands-on guide to automating Developer, QC, and Tech Lead workflows across three maturity levels — Manual, Agentic (Claude Code), and Fully Autonomous (NanoClaw). With mermaid diagrams, real configs, BDD examples, and step-by-step instructions you can implement today.
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