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Tom Smith

Tom Smith (C. Thomas Smith III) is a veteran digital analyst and content strategist who spent more than four years as a Research Analyst at DZone.com (part of Devada), where he conducted thousands of interviews with technology executives and authored roughly 1,500 articles that generated more than 10 million page views across topics including AI/ML, Agile, APIs, cloud computing, DevOps, IoT, Java, Kubernetes, microservices, and security. He holds an MBA in Marketing from Duke University's Fuqua School of Business and a B.A. in Political Science from Duke. Smith later worked as a content strategist and technical writer at Cognizant, including stints on Google's Bard (now Gemini) and Meta's AI Business Assistant (MAIBA) "seed" content teams, where he helped train and evaluate large language models. Over his career, he has interviewed more than 4,000 technology executives across AI, cloud, data, security, and storage sectors. He now writes independently through Insights From Analytics and is a contributing writer across multiple Techstrong Group properties, including DevOps.com, Digital CxO, Cloud Native Now, PlatformEngineering.com, and Techstrong.ai, where he covers AI agents, enterprise AI infrastructure, and emerging developer tools.

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Best of 2025

Best of 2025: OpenAI Codex: Transforming Software Development with AI Agents

OpenAI has launched Codex, a cloud-based software engineering agent poised to revolutionize developers’ approaches to coding tasks. Powered by codex-1, a specialized version of OpenAI’s o3 model, Codex can work on multiple tasks simultaneously, offering developers an AI companion that understands their codebase and can handle a variety of software engineering responsibilities. What is Codex? […]

Tom Smith · Dec 23, 2025
AI

Multi-Agent System Promises Faster Bug Detection and Resolution

IT outages cost companies over $14,000 per minute. IBM Research’s Project ALICE uses multiple AI agents to help engineers find bugs faster and restore systems. Software bugs are expensive. When a critical system goes down, every minute of downtime costs revenue, frustrates customers, and strains engineering teams scrambling to find the problem. The challenge isn’t […]

Tom Smith · Dec 9, 2025
Blogs

Google Code Wiki Aims to Solve Documentation’s Oldest Problem

Google introduces Code Wiki, an AI-powered platform that automatically generates and maintains documentation for code repositories. With Gemini integration, live diagrams, and interactive code-aware chat, Code Wiki aims to reduce onboarding time, simplify code comprehension, and transform how developers understand complex systems.

Tom Smith · Nov 17, 2025
Blogs

Claude Introduces Agent Skills for Custom AI Workflows

Anthropic introduces Agent Skills for Claude — a new system that packages instructions, scripts, and resources into reusable folders across Claude’s web app, API, and Claude Code. Skills make AI assistants composable, portable, and powerful for DevOps, automation, and agentic development workflows.

Tom Smith · Oct 27, 2025
Blogs

Visual Studio Copilot Gets Planning Mode for Complex Tasks

Microsoft launches the Planning feature for Visual Studio Copilot, now in public preview for Visual Studio 2022 17.14. Planning gives developers a structured way to manage multistep coding tasks, improving transparency, performance, and workflow efficiency by up to 20%.

Tom Smith · Oct 27, 2025
AI

ChatGPT Developer Mode: Full MCP Access with Serious Responsibilities

OpenAI recently released Developer Mode for ChatGPT, and it’s not for everyone. This beta feature provides full Model Context Protocol (MCP) client support, granting complete access to both read and write operations across your connected tools. But here’s what you need to understand up front: this is powerful, and it’s dangerous. What Developer Mode Actually […]

Tom Smith · Oct 15, 2025
AI

Gemini CLI Extensions Bring Customization to the Command Line

Google’s Gemini CLI extensions framework enables developers to integrate external tools like Figma, Stripe, Postman, and Dynatrace directly within the terminal. Built on the Model Context Protocol (MCP), the system reduces context switching and boosts DevOps productivity through AI automation.

Tom Smith · Oct 9, 2025
Blogs

Microsoft’s AI Agents Target Technical Debt Crisis

Microsoft is tackling technical debt with new GitHub Copilot AI agents that modernize legacy Java and .NET apps, plus AI-powered updates to Azure Migrate and Azure Accelerate. These tools promise to cut modernization time by up to 70% and accelerate AI adoption.

Tom Smith · Sep 26, 2025
Blogs

GitHub MCP Registry Launches as Central Hub for AI Development Tools

GitHub launches the MCP Registry, a centralized hub for discovering and deploying Model Context Protocol servers. Backed by partners like Figma, Postman, HashiCorp, and Dynatrace, the registry simplifies integration, boosts security, and accelerates AI-powered development workflows.

Tom Smith · Sep 18, 2025
Blogs

Morgan Stanley Open Sources CALM: The Architecture as Code Solution Transforming Enterprise DevOps

Enterprise software development has long been plagued by a fundamental disconnect: the gap between architectural intent and actual implementation. Static diagrams gather dust while code evolves, compliance reviews create month-long bottlenecks, and architectural decisions become lost knowledge scattered across documentation that nobody reads. Morgan Stanley felt this pain acutely until they decided to solve it […]

Tom Smith · Aug 25, 2025
AI

Enterprise AI Development Gets a Major Upgrade: Claude Code Now Bundled with Team and Enterprise Plans

Enterprise development teams have faced an impossible choice: move fast with cutting-edge AI coding tools or maintain the security and governance standards their organizations demand. Today, that tradeoff no longer exists. Anthropic has announced that Claude Code, their powerful AI coding agent, is now bundled with Team and Enterprise plans—addressing what the company calls “the […]

Tom Smith · Aug 21, 2025