Applications & products
Scientific computing in the age of agentic AI
An exploratory report on eight scientific-computing projects finds that coding agents can accelerate software work, while scientific validation and long-term stewardship remain human responsibilities.
Why it matters: For scientific teams, faster implementation is useful only when paired with explicit correctness checks and a plan for maintaining the tool. Define acceptance criteria and involve existing maintainers early, or a modern rewrite may become abandoned software.