In 2025, the emergence of advanced coding tools like Claude Code, Codex CLI, and Gemini CLI drastically changed programming dynamics. Engineers can now produce significantly more code, encompassing everything from prototypes to bug fixes. However, increased coding speed alone doesn't guarantee effective software delivery. In 2026, the real divide will be between organizations that can adapt their processes to handle this surge in production and those that struggle with bottlenecks in review, testing, and deployment. The article emphasizes Amdahl's Law, which highlights that optimizing one part of a system only yields limited overall performance improvements. In software delivery, coding is just one aspect of a lengthy pipeline that includes requirements gathering, testing, and production deployment. If coding accounts for only 20% of the cycle, making it ten times faster results in only a 1.25 times overall speedup. Therefore, organizations must revamp their entire delivery process to accommodate the influx of code. Without adjustments, teams may find themselves overwhelmed with output that exceeds their capacity to review and integrate it effectively. To adapt, the article suggests that software delivery processes should be designed for agentic development, making them accessible to AI tools. Key features for such systems include deterministic tests, streamlined development environments, and integrated documentation. By optimizing these areas, teams can enhance their workflows and leverage AI effectively. The expectation is that AI agents in 2026 will assist in identifying and resolving issues in the software delivery process, ultimately increasing productivity and efficiency across teams.