AI and Software Engineering: New Paradigms and Challenges

AI-native languages, specification-first workflows, formal verification, agent reliability, code translation, and language effects on LLM coding remain active research and practice areas. Trustworthy autonomy requires shared context, traceability, mechanically constrained retrieval, evidence agreement, deterministic evaluation, and progressively earned reductions in review gates.