Insights & Essays.
Architectural post-mortems, Generative AI implementation guides, and the reality of technical sovereignty in 2026.
Latest Articles
Google A2A Protocol: Building Vendor-Agnostic Multi-Agent Networks Beyond MCP in 2026
Master Google's Agent-to-Agent (A2A) protocol. Connect LangGraph, CrewAI, AutoGen, and Vertex AI across enterprise boundaries with verifiable credentials.
Vertical AI Agents: Domain-Specific Architecture for Healthcare, Legal, and Finance Autonomy in 2026
Vertical AI agents achieve 87%+ task completion vs 55% for general agents. Learn domain-specific architecture for HIPAA-aligned healthcare, privilege-aware legal, and SOX-compliant finance agents.
Mastering CLAUDE.md, AGENTS.md, and SKILL.md: Anthropic's 7-Method Steering System for Claude Code
Learn Anthropic's definitive 7-method steering system for Claude Code. Master CLAUDE.md, AGENTS.md, SKILL.md scopes, token costs, specialist pool, and gatekeeper patterns.
Claude Coworker in Production: Architecting Collaborative Multi-Agent Teams in Enterprise Git Workflows
A complete practitioner's blueprint for deploying the Claude Coworker framework in enterprise repositories.
Anthropic Claude Code: Mastering the Agentic CLI for Headless Software Development
Master Anthropic's Claude Code CLI. Deep-dive tutorial on installation, secure environment permissions, scripting, and running headless agentic operations.
LLM Evaluation in Production: Agent Benchmarks That Actually Predict Failure
Stop relying on MMLU or static evals. Build a production agentic evaluation pipeline with golden sets, CI/CD regression testing, and real-time shadow
Zero-Trust Cloud for AI Agents: IAM, Secrets, and Federated Identity
Zero-Trust Cloud for AI Agents: IAM, Secrets, and Federated Identity By Vatsal Shah | June 28, 2026 | 25 min read Table of Contents 1.
Active RAG: Dynamic Multi-Hop Query Planning and Self-Correction for AI Agents
Tired of passive vector RAG dropping context? Discover Active RAG: dynamic sub-query trees, multi-hop planners, and self-correcting agent loops.
GitOps for Agentic Code: Branching, Review, and Audit When AI Writes 60% of Commits
GitOps for Agentic Code: Branching, Review, and Audit When AI Writes 60% of Commits By Vatsal Shah | June 27, 2026 | 14 min read Table of Contents - The.
External Standards & Publications
Our engineering publications follow industry standards for software architecture and agentic AI systems. Read more about technical specifications at the IEEE Standards Association and general web engineering principles at the World Wide Web Consortium (W3C).