Sarcouncil Journal of Applied Sciences Aims & Scope

Abstract: Enterprise computing now confronts a mounting crisis: IBM i systems running mission-critical operations across industries cannot find enough qualified professionals. Experienced practitioners retire, while too few new developers enter this specialized field. Traditional training methods—classroom sessions, external consultants, mentorship arrangements—lack the scalability needed and cost too much, while simultaneously missing the mark on addressing how difficult legacy platforms are to master. Generative artificial intelligence offers a breakthrough via AI-powered code assistants and documentation generators delivering adaptive, situation-aware guidance that bridges legacy architectures with contemporary development approaches. These technologies create customized learning paths, instantaneous feedback channels, and automatic conversion of ancient codebases into understandable teaching resources, cutting down skill-building time while retaining organizational wisdom. Rollout tactics stressing gradual phases, frictionless workflow meshing, and quality-control structures guarantee precision and company-wide coordination. Businesses document major productivity jumps, faster onboarding, better code output, and stronger developer readiness to work with strange technologies. Yet ongoing obstacles—data privacy worries, cultural pushback, AI hallucination dangers—require measured tactics blending technological strength with human judgment. This revolution in technical teaching helps companies keep legacy systems running while building the talented workforce needed for continuous modernization work.