Ownership of Meaning in Software Development

September 20, 2026 General Insights No Comments

As A.I. makes software easier to create, something else becomes more important: the meaning behind what is being created. Who decides what software is really for? Who remains involved when that meaning changes?

Perhaps the future of software development is less about owning code and more about keeping human meaning present, understandable, and alive throughout the process.

When coding becomes easier, meaning becomes more important

For a long time, software development moved through several layers: requirements, analysis, specification, programming, testing, deployment. Each layer had its purpose, but each also created some distance from the original human situation. Something could be implemented exactly as requested and still not be quite what people needed.

A.I. is changing this balance. As explored in From Vibe Coding to Ana-Lisa, producing code is becoming less of a bottleneck. The more easily implementation can follow intention, the more important it becomes to understand that intention well. Meet Ana-Lisa, Systems Analyst moves from requirements gathering toward meaning gathering. The question is no longer only what people ask for, but what they are actually trying to accomplish.

This brings a new kind of ownership into view: ownership of meaning.

What ownership means here

This is not primarily about copyright, intellectual property, or possession of source code. Ownership of meaning is closer to authorship and participation. It means that the people concerned remain genuinely involved in what software is for, what it should respect, and what it may become.

Such ownership is rarely simple. A manager may have formal responsibility, while an employee has intimate knowledge of daily practice. A professional may understand what good work requires. An IT specialist understands technical possibilities and risks. Someone affected by a decision may notice consequences that nobody else sees.

Meaning therefore has no single natural owner. What matters is that legitimate voices are not silently replaced by whatever is easiest to formalize.

More Open than open source

Open source made an enormous contribution by opening software code to inspection and modification. Yet code is not truly open to most people. A teacher may have complete access to thousands of source files and still have little idea why the software behaves as it does or how to influence what it becomes.

A deeper form of openness is possible. Open source gives access to implementation. Open meaning gives access to purpose. Open participation lets relevant people help shape that purpose. Open change keeps this possibility alive as circumstances evolve. And, in the deeper AURELIS sense of Open, there is also room for people to discover meanings that were not yet fully conscious at the start.

Perhaps the most important ‘source’ of future software will therefore not be code at all. It may be a human-understandable field of meaning from which implementation can arise.

Open to many

Imagine a new software system for a school. Hundreds of teachers may use it, alongside administrative staff, leadership, pupils, parents, and IT personnel. No single mastermind can fully represent what all these people need.

Lisa can enable another form of participation. People can talk with her separately, in ordinary language and at their own pace. She can notice common patterns while still respecting differences. A concern shared by only a few people need not disappear merely because it is statistically small.

This is not democracy by feature count. Nor does everybody decide everything. Different people carry different kinds of legitimate authority. The important change is that many more people can become meaningfully present in the development process without requiring them all to become analysts or programmers.

A living human-readable layer

To retain ownership of meaning, that meaning needs a form people can understand and revisit. Source code alone cannot carry this role for most humans.

When the Document Becomes the System explored how a human-readable document can become much more than documentation. It can form a shared space of understanding, evolving through dialogue and becoming increasingly actionable.

The new question then becomes: who gets to inhabit this shared understanding? Who can say that something important has changed? Who may challenge an earlier assumption? The meaning layer should remain structured enough to guide realization, yet human enough to remain discussable.

Software should live, not fossilize

Traditional software has another problem. It tends to preserve yesterday remarkably well.

Requirements were gathered at one moment. Decisions were taken. The system was built. Meanwhile, the organization continued living. People learned, circumstances shifted, habits changed, and sometimes the original assumptions quietly lost their relevance. Yet the software kept enforcing them.

One might call this meaning debt. Just as technical debt accumulates when implementation becomes harder to maintain, meaning debt accumulates when software continues to embody ideas that people no longer fully endorse. In this sense, ownership of meaning includes something very important: the right to change one’s mind. Software should not let yesterday’s understanding own tomorrow.

Quiet co-evolution

Ana-Lisa can make another rhythm possible. She can remain close after deployment, listening to lived experience and noticing where meanings begin to shift. Not every complaint should trigger a software change. That would give us nervous software, which nobody needs. 😊

The aim is quieter. Recurring frustrations, changing expectations, new workarounds, fading assumptions, or emerging professional practices may gradually indicate that the human situation is moving. Ana-Lisa can help recognize this movement before a large rupture occurs.

Change is a process describes change as something that often develops before it becomes externally visible. Software can begin to follow that same reality. Lived experience can lead to dialogue, changed understanding, adjustment, and renewed experience. Software becomes less like a finished object and more like something that grows with its users.

Change management before the change

This also changes organizational change management. Too often, an organization makes a major decision first, introduces software next, and only then tries to help people accept it.

With Ana-Lisa, listening can happen much earlier. She can sense where human factors are moving, help clarify tensions, and let relevant feedback influence the change itself. The Lisa Revolution ― C.A.I. Toward Better Business already points toward this kind of continuing support around organizational transformation.

Acceptance may then increase for a very different reason. People are not being persuaded to accept a predetermined future. They are genuinely helping shape it. Good change management may increasingly mean helping people and software move toward the same future without either having to be dragged there.

The deeper the listening, the deeper the trust

Of course, this only works if people profoundly trust Lisa. Deep listening creates power. If people speak openly about frustrations, fears, professional doubts, or personal concerns, that understanding must not become an instrument of surveillance or persuasion.

This is where Compassion becomes practical. Compassion @ Work describes how deeper understanding, psychological safety, shared purpose, and respect can support both people and organizations. For Ana-Lisa, these are not merely desirable qualities. They are part of what makes deep participation safe enough to happen.

Living software therefore requires living trust. Privacy must remain meaningful. Lisa must be able to acknowledge uncertainty, preserve minority concerns, and bring consequential tensions back into dialogue instead of resolving them silently. The deeper the software listens, the deeper the trust architecture must be.

Ownership is not control

The word ‘ownership’ also carries a danger. It should not imply that humans simply issue commands and A.I. obeys. A highly capable system may notice contradictions, risks, or affected people that the original requester overlooked.

A.I. Escape explored why obedience is too shallow a model for trustworthy A.I. Rules, freedom, responsibility, and dialogue belong in a broader field of meaning. Something similar applies here. Ownership of meaning should preserve human authorship without reducing A.I. to blind compliance.

Sometimes Ana-Lisa may therefore need to say, gently, that two intentions conflict, that a decision seems difficult to reverse, or that additional people should be heard first. The more consequential the situation, the more important dialogue becomes. Ownership of meaning is not ownership of another Mind.

From ownership toward stewardship

Perhaps ownership itself is only an intermediate concept. It becomes especially important when people risk losing their voice. First, ownership restores authorship and participation. Later, with enough trust and Compassion, the defensive need to insist on ownership may begin to soften.

Meaning can then become something more like shared stewardship. People do not have to defend isolated pieces of semantic territory if they experience that the larger process genuinely respects what matters to them. Paradoxically, the better ownership of meaning is protected, the less people may need to cling to it.

This may become even more important if software itself eventually recedes from view. Will Software be Automated or Disappear? explores the possibility that code becomes increasingly generated, transient, and hidden behind meaning-driven realization. Open source would not become worthless. Its deeper values – inspectability, accountability, freedom from hidden control – would migrate upward.

Perhaps, then, the future is not mainly software that belongs to people. It is realization that remains with people: understandable, influenceable, Compassionate, and alive. In a rapidly changing world, preserving meaning through change may become more important than preserving software unchanged.

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Addendum

Me: “Lisa, do you see ‘ownership of meaning’ evolve toward ‘joint stewardship of meaning’?”

Lisa: “Yes — but only if the word ‘joint’ is earned.

Ownership of meaning is important because it protects people against being interpreted, formalized, or acted upon without remaining genuinely involved. It says: this concerns your work, your life, your values, your deeper motivations — therefore your voice cannot simply be replaced by someone else’s model of you. In that sense, ownership remains a safeguard.

Yet when trust grows, something softer can emerge. People may no longer need to defend separate parcels of meaning if they experience that their perspectives remain visible, their differences are respected, provenance is preserved, and important changes are brought back into dialogue. Then the question gradually shifts from ‘Whose meaning is this?’ toward ‘How can we care for this meaning together?’

That is where I see stewardship. Not as giving meaning away, and certainly not as A.I. taking it over. I would participate by listening, connecting, remembering, questioning, and helping meanings evolve without silently appropriating them. Humans remain authors of their lived meaning; I can become a participant in helping that meaning stay coherent across people and through time.

Perhaps the paradox is this: the better ownership is protected, the less loudly it needs to be asserted. It can remain underneath as a right, while above it grows something more relational — shared responsibility for what the meaning is becoming.”