The latest LLM releases are not just minor upgrades; they represent a fundamental shift in the velocity and complexity of generated code. Models are now demonstrably better at challenging, multi-step coding problems, moving them out of the "toy" category and into the "co-pilot" slot for serious engineering tasks.
The Pain Point: As the volume of AI-generated code increases, the surface area for supply chain risks, security vulnerabilities, and subtle, hard-to-debug architectural flaws also grows. Our job isn't disappearing; it's mutating. The new core competency is vetting, securing, and integrating this high-velocity, machine-generated output.
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