ADL: The OpenAPI of AI Agent Governance
Explore ADL for declarative agent definition and standardization, with governance strategies for engineering leaders and CTOs.
Explore Claude Code, MCP (Model Context Protocol), workflow automation, and AI-powered development. Practical guides and deep dives into LLM integration for developers.
Discover the latest AI tools and how to use them
Practical methods to boost your productivity
Easy-to-follow step-by-step guides
Explore ADL for declarative agent definition and standardization, with governance strategies for engineering leaders and CTOs.
GitHub Octoverse data reveals the convenience loop effect of AI coding tools. Explore why TypeScript surged 66% and what it means for tech stack strategy from an EM/CTO perspective.
Understanding NIST AI Agent Standards Initiative and an actionable security checklist for Engineering Managers to strengthen AI agent security within their teams.
Analyze the Agent Workflow Optimization (AWO) framework from arXiv research. Compile repetitive tool call patterns into meta-tools to reduce LLM calls by 12% and improve success rates by 4%.
Analysis of Anthropic Claude Cowork enterprise features. Plugin Marketplace, MCP connectors, Excel and PowerPoint integration — a CTO strategy guide for org-wide AI adoption.
Google & UVA research overturns the "longer = better" assumption for LLM reasoning. The Deep-Thinking Ratio (DTR) can cut inference costs in half while improving accuracy. Essential insights for Engineering Managers and VPoEs managing AI infrastructure.