Deep dives into agentic AI, LLM evaluation, synthetic data generation, model selection, and production AI engineering best practices.
9 of 308 articles
OpenAI launches Operator, an AI agent that autonomously browses the web to complete tasks. How it works, what it can do, and the implications for web automation.
A comprehensive guide to understanding, forecasting, and optimizing the costs of running LLM-powered applications in production, with real pricing data and cost reduction strategies.
How to roll out Claude Code across a development team — shared CLAUDE.md, custom commands, permission policies, cost management, onboarding, and team-wide standards.
Learn how engineering teams are integrating AI into their code review workflows to catch bugs earlier, reduce review cycle time, and measurably improve code quality in production.
A deep technical guide to designing AI and LLM processing pipelines using DAG-based architectures for reliable, observable, and scalable agentic workflows.
Learn how AI tutoring agents adapt to individual student learning styles, pace, and knowledge gaps to deliver personalized education at scale across the US, India, Europe, and Asia-Pacific edtech markets.
IBM explores who owns decisions made by AI agents and how outcomes can be audited. Essential governance framework for autonomous AI systems.
IBM examines who owns decisions made by AI agents and how to audit outcomes. Ethics and governance framework for autonomous AI agent deployment.
