In today’s software landscape, there is an overemphasis on the plumbing of AI.
Engineering teams burn cycles debating how to integrate OpenAI or Claude, wire agents into CI/CD, build custom IDE plugins, or wrap raw LLM APIs.
This is a solved problem.
GitHub, JetBrains, Microsoft, and others already built these pipes. Integration is no longer the challenge. It’s a commodity.
The real bottleneck, and the real competitive advantage, lies elsewhere:
What you feed the model.
To move from playing with AI to creating durable enterprise value, we must shift our attention:
from integration to data
from increasing cognitive load to deliberately reducing it
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Exercise for you
You can use the training budget (here’s a slide for your HR).
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