AI is creating a weird HR crisis because the best engineering work in the agentic era is deletion. And deletion will never get you promoted.
Here is an example of the paradox:
Jerry spends six months building a sophisticated image analysis pipeline. Custom scaffolding, real-time frame extraction, a vision pre-processor that compresses and annotates before sending context back to the LLM. Thousands of lines. A system design doc. A launch review. Bob gets promoted. The work is visible, legible, and frankly impressive. Bravo Bob!
Now Jeff comes in. Jeff looks at the pipeline and realizes the model does not need any of it. The last generation required that scaffolding. This one does not. Bob has 0 incentive to delete his work. Jeff goes and deletes 4,000 lines in one day. The system is faster, cheaper, more reliable. Token efficiency up 40%. Latency cut in half.
Jeff will likely not get promoted for his one day scaffolding deletion.
This is the core problem. Traditional engineering culture rewards addition. More features, more abstractions, more infrastructure. But elite agentic engineering is subtractive. The job is to remove every layer standing between the model and the task. Every unnecessary hop, every redundant transformation, every scaffolding that made sense six months ago and is now just dead weight.
The engineer who keeps code close to the model, who deletes a lot, this person is doing the highest-leverage work available. And they look like they are barely working haha!
How do we promote the Jeff?
in order to remain on the frontier of capabilities you basically have to throw out all your AI code every 6 months and build it from scratch