Tag: #legacy-modernization7 results
AWS introduces 'agentic overlays,' a lightweight architectural pattern that wraps existing REST services to enable agent-to-agent (A2A) communication. This approach allows enterprises to integrate legacy systems into modern AI workflows without rewriting business logic or duplicating infrastructure.
Japan IBM launched ALSEA, a new solution for AI-driven high-quality large-scale system development. It integrates decades of accumulated development expertise into AI to eliminate individual dependencies. The tool aims to accelerate resolution of Japan's '2025 cliff' legacy IT crisis.
Boston startup Code Metal has raised $125 million to develop AI tools that translate and verify legacy software for defense contractors. The company emphasizes that modernization must not introduce new bugs. This funding positions it to transform the defense industry's outdated codebases.
Kakuyasu successfully decoded its 30-year-old legacy system by combining Generative AI analysis with deep domain expertise. The project highlights the importance of establishing a framework to control AI outputs for reliable system migration.
Chiba Bank Computer Service successfully reduced the migration effort for legacy VB.NET systems from 12.5 person-months to 2.0 person-months. This was achieved by implementing a custom AI-driven development framework.
OpenAI has teamed up with Infosys to deliver its AI tools to more businesses. The integration aims to modernize software development, automate workflows, and deploy AI systems. Initial focus includes software engineering, legacy modernization, and DevOps.
Japan IBM announced its AI strategy, positioning 2026 as the inaugural year for full AI integration into system development and business processes. The company is launching an AI platform equipped with development support tools and governance features. It emphasizes strengths in hybrid environments for large enterprises.