How AI Is Changing Software Development in 2026

This article surveys how AI coding agents have moved from autocomplete-style assistants to tools that can inspect repositories, modify multiple files, run commands and tests, and iterate on their own changes, citing JetBrains and Stack Overflow survey figures on adoption. It argues that faster code generation does not automatically mean faster delivery, pointing to METR's 2025 study in which experienced developers took 19% longer with AI allowed while believing they were faster, and stresses review, security, and human judgment. It also distinguishes prototypes, MVPs, and production-ready products, and offers guidance for introducing agents into workflows and for clients evaluating AI-assisted teams.