Agentic Engineering & Autonomous Development Systems

Abstract

Agentic Engineering is an emerging paradigm in software development whereartificial intelligence (AI) systems are designed not merely as tools but asgoal-directed agents capable of planning, reasoning, and autonomousexecution. Unlike traditional automation, which follows predefined scripts,agentic systems operate with contextual awareness, adapt to changingrequirements, and iteratively improve outcomes. Autonomous DevelopmentSystems (ADS) extend this concept into software engineering by enabling AIdriven requirement analysis, code generation, testing, deployment, andmaintenance with minimal human intervention. This paper reviews theconceptual foundations, architectural components, practical implementations,advantages, limitations, and ethical implications of agentic engineering. Italso discusses frameworks such as Auto-GPT and BabyAGI, and the role oflarge language models in shaping autonomous development workflows. Whilethe potential for productivity gains and innovation is significant, challengesrelated to reliability, security, accountability, and governance remain critical.The study concludes that agentic engineering represents a transformative shiftin software systems design, but sustainable adoption requires hybrid human–AI collaboration models and robust regulatory standards. KEYWORDS: Agentic Engineering, Autonomous Development Systems,Artificial Intelligence, Software Automation, Multi-Agent Systems, DevOpsAutomation/