AI is rewriting the software development playbook

▤ Summary

AI has moved from simple autocomplete to agentic systems that can execute multi-file tasks, run tests, and fix failures, shifting engineers' roles toward planning, directing and reviewing. Engineering teams that adopt orchestration and agentic workflows see measurable productivity gains, while lagging teams risk falling behind. A competitive market of purpose-built tools and major platform bundling (e.g., Claude Code, Codex, Cursor, Replit) is accelerating adoption and forcing changes in team structure, hiring and seniority definitions. The new priority is teaching engineers to specify outcomes, orchestrate agent loops, and retain architectural judgment rather than producing manual code.

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