Beyond Copilot: How AI Agents Are Reshaping the SDLC
The most consequential shift AI drives to software engineering is not that it writes code but that it now performs engineering work. As autonomous agents take on complete tasks rather than individual lines of code, the question for technology leaders is no longer whether AI can code. It is how the software development lifecycle must be redesigned around it. Three shifts will decide who benefits: engineering becoming intent-driven, the rise of governed software delivery, and the economics that determine whether autonomy pays.
From Copilot to AI Teammates
The progression is familiar. Autocomplete predicted the next few lines. Conversational assistantsanswered questions and generated functions. Agents go further: they plan, use tools, navigate repositories, run tests, and revise their own work until a task is complete. What has genuinely expanded is the unit of delegation, the amount of work a developer can hand over in a single instruction, which has grown...
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