We are changing the rate, the volume, and the feedback dynamics of the entire software delivery process. For the last two years, the central question in software engineering has been: can AI generate production-quality code?
For the last two years, the central question in software engineering has been: can AI generate production-quality code?
Generation: better models, longer context, lower latency Execution: agent orchestration, task decomposition, tool use Review: PR review agents, inline suggestions, comment generation Each of these layers is...
It is the current trajectory, already operational in engineering teams that moved early.
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For the last two years, the central question in software engineering has been: can AI generate production-quality code? It is the current trajectory, already operational in engineering teams that moved early. We are changing the rate, the volume, and the feedback dynamics of the entire software delivery process.
The problem is architectural stability at scale.
The software lifecycle is already partially autonomous. AI writes substantial portions of production code today. CI pipelines are increasingly designed for machine consumption.
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