7 posts are grouped under this topic.
As AI agents move from simple automation to active decision-makers, they introduce new security risks similar to 'shadow IT.' This post explores the concept of an 'Agent Governance Stack' to prevent agents from taking unauthorized or harmful actions.
An exploration of the massive hardware scaling currently underway in the AI industry. This post covers Google Cloud's new serverless GPU support, the introduction of eighth-generation TPUs, and Anthropic's landmark agreement with Amazon to secure 5 gigawatts of compute capacity.
An exploration of the massive infrastructure shifts required to power next-generation AI, including Google's new TPU generations and the multi-gigawatt compute expansions by Anthropic and Amazon. This post examines how specialized hardware like TPU 8t and Trainium2 are being purpose-built for training and inference.
Explore how modern AI agents are transforming software development by automating error analysis and improving coding accuracy. We look at practical implementations using tools like n8/Sentry/Gemini pipelines and the latest advancements in models like Claude Opus 4.7.
Explore how AI agents are transforming software engineering through automated error analysis and high-performance coding environments. This post examines real-world implementations like n8n/Sentry pipelines and the massive scale of SpaceXAI's Colossus supercomputer.
Explore how new tools like Claude Code, Kimi K2.6, and custom n8n pipelines are transforming software engineering. This post examines the shift from manual debugging to autonomous error-tracking agents and swarm-based coding capabilities.
Explore how AI agents are being integrated into DevOps pipelines to automate manual tasks like error monitoring and reporting. This post examines real-world implementations using tools like n8ng, Sentry, and Google Gemini.