AgenticAI

GPT‑5.3‑Codex: The Coding Agent That’s Starting to Feel Like a Real Coworker When I first tried the original Codex a few years ago, it felt a bit like handing a junior intern a half‑finished script and hoping they’d “figure it out.” It could churn out snippets, but it needed a lot of hand‑holding, and the results were often… well, let’s just say “creative.” Fast‑forward to today, and OpenAI has dropped GPT‑5.3‑Codex – a model that not only writes code but steers a whole computer session, reacts to your prompts in real time, and even helped debug itself during training. In plain English: it’s the first coding agent that can act like a teammate who knows the whole project, not just the line you’re stuck on. ...

Building an AI software development team with Claude Code agents Claude Code’s multi-agent architecture represents a fundamental shift from AI-assisted coding to AI-driven development, where specialized subagents work in parallel like a virtual engineering team. Since its February 2025 launch and September 2025 2.0 release, Claude Code has evolved from a terminal tool into a sophisticated orchestration platform that now generates over $500M in annualized revenue. For developers looking to build artificial software teams, understanding Claude Code’s agent/subagent system—and how it differs from competitors like GitHub Copilot and Cursor—is essential to leveraging this paradigm effectively. ...

Happy New Year, everyone! If you thought 2025 was wild for artificial intelligence, the first week of 2026 just looked at the calendar and said, “Hold my beer.” We are only seven days into the year, and we’ve already seen enough major announcements to fill a whole quarter. CES 2026 in Las Vegas has been an absolute whirlwind, and combined with some massive regulatory shifts and research breakthroughs, it’s clear that this year isn’t going to be about incremental updates. We’re talking fundamental shifts in how AI is built, deployed, and governed. ...

AI systems that can perceive, reason, plan, and act autonomously are no longer just science fiction. In 2025, organizations around the world are deploying autonomous agents to handle everything from email summaries and customer support tickets to competitive research and complex data analysis. These systems promise enormous productivity gains, but they also raise important questions about trust and control. Here’s a striking statistic: according to Capgemini’s 2025 research report “Rise of Agentic AI,” only 27% of organizations trust fully autonomous AI agents, down from 43% just one year earlier. Much of this confusion stems from the term “data agent” itself, which has been applied to everything from simple SQL chatbots to sophisticated multi-agent orchestration systems. Without a clear vocabulary, it becomes nearly impossible to set proper expectations, build appropriate guardrails, or design responsible products. ...