Categories

AI agents in practice: how they work, which workflows hold up in real teams, and what fails quietly, from MCP to observability and multi-agent failure rates.

Real incidents and real defenses: AI-agent attacks, supply-chain worms, zero trust, ransomware and post-quantum crypto, with data on what programs deliver.

What the data says about tech's business calls: RTO mandates, layoffs, IPOs, founder-led CEOs, AI valuations and data-center power deals, beyond the headlines.

SaaS from the operating side: retention benchmarks, pricing models, vertical vs. horizontal, data residency and cloud costs, with the data behind each call.

Humanoid robots, drone delivery, brain-computer interfaces, green hydrogen: what's actually deployed in 2026 versus what's still a projection.

Cloud platforms, hosting and data centers, including the power behind them: where to run it, and what it really costs.

Dev tools, AI coding assistants and how software gets built: what holds up in real teams, not just in demos.