Stakeholder and role shifts in agentic software factories
Product owners, developers, CTOs, and business stakeholders must understand the whole factory flow—not only their old silo—and ship artifacts the next team can use as a seed.
This article is AI-assisted and co-authored by Xesca Alabart, co-founder of EasySpecs.
Agentic factories change where the work sits. Coding can accelerate, but clarity, alignment, and validation still move at human speed. The uncomfortable truth: many roles must understand more of the pipeline, not less, because your output is someone else’s seed.
Product owners and product managers
You are no longer done when a card moves to “ready for dev.” A backlog line that made sense in a human negotiation phase is often not an agent-ready seed.
- Specify for the next consumer — the implementer agent, the validation harness, security review, support, and the next product increment. What scenarios, constraints, and negative paths must they not invent?
- Invest in requirements gathering as a first-class activity: workshops, scenarios, acceptance language that is observable, not vibes.
- Expect more back-and-forth upstream (during discovery and spec) and less heroic clarification mid-sprint—if you do the upstream work.
Developers and engineers
Your job stops being “translate ticket to code” and becomes “keep the factory honest”: conventions, architecture notes, tests/scenarios, and artifacts the next automation can read.
- You maintain seeds, not only source files—
AGENTS.md, specs, ADRs, and repo layout are part of the product surface for agents and teammates. - Handoffs matter — CI agents, platform teams, and other services need contracts (APIs, events, data shapes) as explicit inputs, not tribal knowledge dug out in Slack.
- Whole-flow literacy helps you push back early when the seed is thin; typing faster does not fix a missing non-functional requirement.
CTOs and engineering leaders
You are designing systems of factories: seed production, implementation, validation, release, and operations. Incentives and org charts that reward only merge velocity will hollow out the harness and the seed layer.
- Fund seed manufacturing and context engineering like you fund CI—without them, “AI productivity” becomes compounding wrongness.
- Make cross-team seed contracts visible: who owns which artifact, how drift is detected, how scenarios stay external enough that agents cannot game them.
- Communicate honestly to the business: coding speed and calendar time are not the same curve.
Business stakeholders and executives
The narrative “AI makes software cheap and instant” is dangerous. Decisions, risk, compliance, and customer trust still need time. What changes is where you spend attention: front-loaded intent and evidence, not endless late rework.
- Ask for demos of the seed and the harness, not only generated code—evidence that the organization understands end-to-end risk.
- Budget thinking time and review time; they do not disappear because keystrokes do.