Why AI‑Assisted Development Still Falls Short: Lessons from a Year of Experiments
Over the past year the author examined AI‑assisted software engineering through research, product releases, and real‑world deployments, revealing modest efficiency gains, the importance of deterministic inputs, manual context injection, unified domain language, knowledge retrieval strategies, and the need for solid software‑engineering foundations before AI can add real value.
