Realization time vs coding speed
Factories can shorten implementation loops while calendar time to trusted outcomes stays long—because seeds, handoffs, and validation are still human-heavy work.
This article is AI-assisted and co-authored by Xesca Alabart, co-founder of EasySpecs.
A common misunderstanding: if agents write code faster, the business must get value proportionally faster. In practice, realization time—from fuzzy idea to trusted production behavior—often stays dominated by clarity, coordination, and proof.
Coding can accelerate
Non-interactive development and strong tooling can shrink the implementation loop. That is real leverage when the seed is already excellent and the harness is strong.
End-to-end realization still takes time
Realization includes: discovering intent, resolving conflicts, writing scenarios, building or updating context, running reviews, hardening security and compliance, observing production, and feeding the next cycle. Those steps do not disappear—they often move earlier and become more explicit, which can feel like more work than the old “figure it out while coding” habit.
Harder before easier
Understanding the whole flow—not only the slice you used to own—is more cognitively demanding, not less. You must include in your deliverable what the next team or factory needs as their seed: conventions, boundaries, failure modes, data contracts, and evidence of correctness. Skipping that used to create silent debt; at machine speed, it creates loud incidents.
Seed handoffs across teams
Product hands to engineering; engineering hands to platform and SRE; everyone hands to automation. Each hop needs a complete input. Requirements gathering and seed manufacturing exist because handoff quality is the bottleneck more often than typing speed.
What to measure
Track time-to-trusted-change (intent → deployed → validated in reality), not only time-to-PR. Protect calendar for spec and scenario work the same way you protect deep work for implementation.