AI & ML

Auto Added by WPeMatico

Linear Thinking, Nonlinear Costs

Many AI agent systems become economically unsustainable long before they become technically impressive. Teams usually focus on model choice, prompt design, tool calling, and orchestration. Those things matter, but they are only part of the system setup. The deeper issue is that coding agents, such as Claude Code, Codex, and Jules, make agent workflows easier […]

Linear Thinking, Nonlinear Costs Read More »

Three risks in every AI-assisted codebase

Who Owns the Code Claude Wrote?

The following article originally appeared on Sena Evren’s Legal Layer newsletter and is being reposted here with the author’s permission. TL; DRAgentic coding tools like Claude Code, Cursor, and Codex generate code that may be uncopyrightable, owned by your employer, or contaminated by open source licenses you cannot see. Some of this is settled law,

Who Owns the Code Claude Wrote? Read More »

This Week in AI: The Next-Gen Recommendation Experience

This week Miguel Fierro, a former Microsoft principal researcher who recently founded his own company, RecoMind, joined data and AI evangelist Christina Stathopoulos to talk about the state of recommendation systems. Christina also ran through the latest AI news she’s been watching, from Anthropic’s continued rise to responsible AI, announcements from Google’s I/O 2026 conference,

This Week in AI: The Next-Gen Recommendation Experience Read More »

Keep on truckin

When Context Collapses: Teaching Agents to Detect and Recover from Lost Memory

This is the eighth article in a series on agentic engineering and AI-driven development. Read part one here, part two here, part three here, part four here, part five here, part six here, and part seven here. “640K ought to be enough for anybody.”—Bill Gates (allegedly) If you’re building AI agents that do complex, multistep work, you’re going to run into context

When Context Collapses: Teaching Agents to Detect and Recover from Lost Memory Read More »