
Artificial intelligence (AI) and machine learning (ML) are increasingly being applied to petroleum engineering. Petroleum operations generate large amounts of geological, operational, and production data. AI can help engineers analyze this data, identify patterns, forecast production, support reservoir studies, improve…
This review article synthesizes ten pivotal publications from 2025 and 2026 to evaluate the evolution of human-centric Artificial Intelligence agents within software engineering. It identifies a transition from reactive auto-complete tools to proactive Multi-Agent Systems and explores the “orchestration” paradigm…