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It is the year 2025. Over the next decade, the world of software will undergo dramatic changes driven by AI.However, a few critical elements will remain unchanged.
For those aiming to build a resilient business (like us at Hexmos), it is wise to focus on a select set of invariants—factors that are less likely to change over time.
The Unchanging 3 Vs
At Hexmos, we have identified what we call The Unchanging 3 Vs—psychological truths that are unlikely to change in the next 10 years:
Volume of software demand has consistently increased and will continue to do so, because no customer ever said: "Give me fewer choices."
Velocity of software production has consistently improved and will continue to do so, because no customer ever said: "Deliver improvements slower."
Value delivered to the individual has consistently risen and will continue to do so, because no customer ever said: "Make things harder for me."
Let us now examine each of these factors in detail.
1. Why the Volume of Software Produced Is Expected to Keep Increasing
In the history of software, there has never been a time when the quantity of software produced declined.
This is precisely why the phrase "Software Is Eating the World" gained popularity.
Every technological revolution—whether chips or the internet—has spurred the rise of new software companies.
AI represents another revolution in the making. Generative AI tools are already reducing the effort required to produce software. As these tools become more advanced in areas such as generation, validation, and deployment, software development will become increasingly easier.
Given these trends, what does this imply for the volume of software produced?
At Hexmos, we believe that the volume of software produced in the future will increase significantly—by at least an order of magnitude, perhaps more.
The barriers that once constrained human creativity and initiative are being dismantled by powerful AI tools.
Additionally, from an economic perspective, as organizations and individuals grasp the possibilities enabled by AI, they will demand better results, compelling vendors to produce more software.
2. Why the Velocity of Software Production Is Expected to Keep Increasing
No customer ever said: "Deliver improvements slower."
Historically, innovations such as new programming languages, frameworks, organizational structures, engineering techniques, and architectural insights have all contributed to speeding up software delivery.
AI, however, has arguably provided the most substantial boost to software development velocity.
With continuous improvements in AI models and the creative application of these tools, we are witnessing unprecedented gains in development speed.
As with the increasing volume of software, once customers and organizations experience these advancements, there is no turning back. Greater velocity will become the new standard.
3. Why the Value Delivered to the Individual Is Expected to Keep Increasing
The earliest pieces of software, such as operating systems or text editors, were designed for broad, general use.
As the software market matured, specialization increased, giving rise to subcategories that cater to specific needs. For example, within the note-taking app space, there are now 8–10 subcategories targeting different segments of users.
AI enables us to push this trend even further. Why stop at segment-level categorization when software can be tailored to individuals?
The ultimate evolution of software is hyper-personalization. With 8 billion people on Earth, there could be 8 billion types of software—each personalized and customized to meet the exact needs of the individual.
Services and products will become hyper-personalized and maximally customized, enabled by abundant intelligence.
How Hexmos Aims to Leverage the 3 Vs
At Hexmos, we are committed to an approach we call the LiveDeveloper Thesis.
Our mission is to build tightly integrated AI-enabled tools that empower developers to deliver higher volume, velocity, and value.
Our first app, is already available for use. This is just the beginning—many exciting AI tools for developers are on our roadmap.
While serves as an analytical tool, we are also planning several generative tools to further support developers.
Follow us on our social channels to stay updated on how we execute the LiveDeveloper Thesis to help developers deliver software with greater volume, velocity, and value.
*AI agents write code fast. They also silently remove logic, change behavior, and introduce bugs -- without telling you. You often find out in production.
git-lrc fixes this. It hooks into git commit and reviews every diff before it lands. 60-second setup. Completely free.*
Any feedback or contributors are welcome! It's online, source-available, and ready for anyone to use.
⭐ Star it on GitHub:
HexmosTech
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git-lrc
Free, Unlimited AI Code Reviews That Run on Commit
git-lrc
Free, Unlimited AI Code Reviews That Run on Commit
AI agents write code fast. They also silently remove logic, change behavior, and introduce bugs -- without telling you. You often find out in production.
git-lrc fixes this. It hooks into git commit and reviews every diff before it lands. 60-second setup. Completely free.
See It In Action
See git-lrc catch serious security issues such as leaked credentials, expensive cloud operations, and sensitive material in log statements
git-lrc-intro-60s.mp4
Why
- 🤖 AI agents silently break things. Code removed. Logic changed. Edge cases gone. You won't notice until production.
- 🔍 Catch it before it ships. AI-powered inline comments show you exactly what changed and what looks wrong.
- 🔁 Build a habit, ship better code. Regular review → fewer bugs → more robust code → better results in your team.
- 🔗 Why git? Git is universal. Every editor, every IDE, every AI…
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