Japan’s government and municipal agencies are moving quickly to deploy AI software engineering tools as labor shortages and legacy systems collide. Cognition AI’s “Devin” is already being tested via Tokyo expansion, with claims that it can modernize large legacy codebases far faster than traditional staffing timelines. The reporting highlights Sapporo’s use case, where the city needed to modernize more than one million lines of legacy code under an IT compliance mandate. Cognition’s president Russell Kaplan said engineers used Devin to complete the work in roughly a quarter of the time that would have been required under typical delivery. The piece also underscores how frontier model deployment is becoming a practical infrastructure strategy: OpenAI and Anthropic have opened early international offices in Tokyo, and major hyperscalers have committed to Japan data centers as AI compute demand grows. For higher education, the implications are direct: campuses supporting public-sector partnerships and civic technology initiatives are likely to see faster procurement cycles for AI-assisted development, especially where legacy modernization is a compliance requirement.