a Futurum company

Contributor

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.

24Articles shown
1Contributors shown
5Archive page
AI

Vercel’s deepsec Brings AI-Powered Security Scanning Into the Development Workflow

Security has long been the last item on the checklist. Code gets written, reviewed, merged—and then, somewhere down the line, a security team takes a look. That model worked when development moved at a human pace. It doesn’t work as well when AI writes and refactors code faster than any team can keep up with. […]

Tom Smith · May 8, 2026
AI

Claude Code Can Now Run Your Desktop

Anthropic moves beyond the chat window with full computer control — and the implications for developers and enterprise teams are significant.

Tom Smith · Apr 14, 2026
Blogs

Google’s Next Coding Agent Could Change How Developers Think About Their Work

Google’s internal Project Jitro marks the evolution of the Jules coding agent from a task-executor to an outcome-driven collaborator. By shifting from manual prompting to KPI-driven development, Jitro autonomously identifies and executes codebase improvements—such as increasing test coverage or optimizing performance—allowing developers to manage high-level goals rather than individual lines of code.

Tom Smith · Apr 8, 2026
Blogs

Claude Code’s Ultraplan Bridges the Gap Between Planning and Execution

Anthropic introduces Ultraplan, a research preview for Claude Code that shifts complex coding plans from the terminal to a collaborative cloud environment. This feature enables developers to review, comment on, and refine implementation strategies in a rich browser interface before choosing to execute changes in the cloud or “teleport” them back to a local terminal.

Tom Smith · Apr 8, 2026