Why Small Teams Are Leading the AI Revolution
In the world of AI, startups and small teams are outperforming larger institutions. But why? Cathedrals are constructed with a million times less stone than a Pyramid, the difference is not materials, the difference is knowledge. The difference is design, process —architecture.
The challenge in software construction isn’t limited by the collective IQ of engineers, but rather by the process they follow. Large teams often get bogged down in bureaucracy, misaligned goals, and slow decision-making. When faced with critical schedules, many organizations mistakenly believe that adding more people to a team will accelerate progress, but in reality, this often the opposite.
In Beyond Agile, we pick up where traditional process leaves off. We reveal the natural cycles already present in your construction process. We expose that which is hidden and involve science without coercion or force. This approach taps into the natural rhythms of software construction, letting your team work smarter.
The Discipline of Phase
Just like seasons of the year dictate changes in behavior and activities, phases in the development cycle—Design, Develop, Debug, Deploy—are driven by external and internal conditions that naturally arise during software construction.
By recognizing these phases and their inherent rhythms, small teams can anticipate challenges, focus their efforts, and maintain momentum without the friction that slows down larger groups.
This scientific approach means observing how your team naturally shifts focus as conditions change and using that insight to keep the project on track.
Instead of forcing progress, you work with these cycles. If you really want to know where a team is at along the schedule? Readily visible activities and behaviors reveal which phase is truly happening, without need for guesswork.
This discipline allows small teams to move with agility, making the most of their resources while avoiding the pitfalls of chaotic, forced processes. It allows them to build momentum and hone their practice.
With Beyond Agile, you can control schedule like predicting the rising sun.
Fixing Bugs Is Not Progress
Software entropy is inevitable; over time, systems naturally decay, becoming more complex and fragile. This isn’t just about fixing bugs—it’s about understanding that patchwork fixes only accelerate this decay, creating what we call software entropy.
Software is made in layers and when we fix a bug, we punch through these layers and inevitably leave some disruption in our wake. Even the most reliable parts, left entirely untouched, will someday suffer decay.
Small teams succeed by focusing on the architecture—the cathedral approach.
They don't just stack features like stones in a pyramid; they build with foresight, ensuring each layer supports the next.
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This means paying attention to facets of design that prevent decay, such as modularity, maintainability, and scalability. By addressing these core aspects early, small teams reduce entropy and ensure their software remains robust, adaptable, and ready for future challenges.
This proactive approach to design is what separates sustainable, scalable software constructions from those destined to crumble under their own weight.
No Baby in a Month
In software, like in nature, some things can’t be rushed. There's an atomic nature to software, tasks cannot be arbitrarily cleaved into any size or shape.
The idea that adding more people to a project will speed it up is a myth. One cannot have an engineer work on the Save button while the other works on Cancel and expect to save time.
Software is like a cathedral it requires careful planning and design. Certain elements—those core, indivisible tasks—must be done in sequence and can’t be split or hurried.
This is particularly true in AI, where complex systems depend on a solid foundation. Small teams understand this and focus on getting the critical pieces right the first time. They don’t fall into the trap of trying to divide tasks arbitrarily; instead, they work with the grain of the project, ensuring that each part is built to last.
This disciplined approach prevents the chaos that often arises when larger teams try to force progress by brute force, ensuring that the final product is not only complete but also cohesive and functional.
Design Matters
In software development, the invisible design is everything. It’s not just about making something that works today but creating a foundation that will last. This is where the cathedral approach shines—small teams focus on building a strong architectural design from the start, ensuring that each component fits perfectly into the larger system.
Design integrity is crucial; it keeps the software flexible, scalable, and resistant to decay. By prioritizing design over quick fixes, small teams avoid the pitfalls of software entropy and ensure that their AI solutions are not only powerful but sustainable over the long term. This disciplined focus on design allows them to create systems that stand the test of time, much like the enduring architecture of a cathedral.
The Software Equilibrium
In the world of software, construction is always in motion—constantly balancing between new features and the risk of collapse under its own weight.
Small teams excel because they understand this balance and focus on maintaining software equilibrium. Instead of endlessly adding more code, they emphasize quality and architectural integrity, ensuring that the system remains stable and functional. This continuous balancing act is what allows small teams to innovate rapidly without sacrificing the long-term viability of their projects. By keeping a close eye on this equilibrium, they can push the boundaries of AI while keeping their software robust and scalable.
This is what lets some small teams take off and —Go Beyond.
CEO at Folder IT
3 个月Yes Jesse Tayler, I agree with you. For me, the issue is about having concentrated knowledge. Large Web + Mobile projects will continue to exist, but the specificity of AI projects (and the same goes for IoT, cybersecurity, or crypto) is what I call “concentrated knowledge” in a few rockstars ?? … very skilled and very high-level individuals. AGB