#adoption
Every post tagged "adoption".
72 posts · showing 41–50
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Who Adopts First, and Why It Isn't the Biggest Companies
The organizations with the most resources are frequently not the ones deploying furthest. Four things gate adoption, and large companies are structurally worse at three of them — none of which are about technology.
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What "Agents Got Better" Would Actually Look Like in Your System
Waiting for agents to improve without deciding what improvement looks like makes the waiting unfalsifiable. Write the threshold down first, and every release becomes a measurement instead of a vibe.
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Why Benchmarks Keep Rising While Deployments Stay Hard
Both reports are accurate. Benchmarks test well-posed, self-contained, checkable problems — and almost none of deployment difficulty is any of those things.
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What Gets Cheap Next, and What Stays Expensive
Costs are being rearranged, not reduced. Four things are getting cheap, six aren't — and a fourth category nobody plans for is getting more expensive, including maintaining everything that was cheap to create.
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Predicting Agent Capability: Reason From Mechanism, Not Vibes
"Will agents get better?" is the wrong question. Six things block any given task, only two of them move with model releases — and the other four are the ones nobody's working on.
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Negotiation, Politics, and the Work That Isn't in the Ticket
It's usually called politics, said with distaste, and treated as the tax on real work. It's also the growing share of the job — and most of it is information flow and reliability rather than manipulation.
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The Meeting an Agent Can't Attend
Requirements aren't transmitted in those rooms, they're constructed — out of inputs that exist nowhere beforehand and mostly aren't recorded after. And the efficiency instinct cuts exactly the wrong thing.
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Taste Is a Bottleneck: Where Judgment Has No Substitute Yet
Cheap generation doesn't reduce the value of judgment — it makes discrimination the scarce step. And it introduces a hazard: well-argued cases for mediocre options, which is what agents produce uniformly.
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The Failure Modes That Don't Improve With Scale
Most agent limitations improve with the models. A smaller set won't, because the constraint isn't the model — and building elaborate workarounds for one while waiting out the other gets both wrong.
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What an Agent-Run Sprint Actually Looks Like
Not the same sprint faster — an inversion. Most of the week becomes specifying and reviewing, review becomes the constraint, and integration becomes the new time sink.