AI Agents: A New Milestone in the History of Software Development

Technology has always been about people. We have evolved not to replace, but to amplify human potential.

The AI Revolution

The software development process is gaining a new, game-changing element: AI Agents. With them, we are privileged to witness a historical milestone, a true revolution in crafting a product that has become essential in our daily lives: Software!

Just as the Industrial Revolution transformed the way we produced other essential societal products such as automobiles, textiles, food, etc., AI Agents are revolutionizing the software manufacturing process, which has become fundamental in the relationship between businesses and consumers.

Just as the "weaver" in the Industrial Age could not compete with the loom operator who, besides producing a hundred times faster, produced with better quality and standardization, the "Old School," "bit-shoveling" software developer cannot compete with the developer who operates using an arsenal of AI Agents. It is humanly impossible!

Revolutions allow us to evolve; they force us to leave our comfort zones. We need to learn something new to achieve better results. This is the nature of human evolution!

Just as the "weaver" had to evolve to become a loom operator/supervisor, the developer will have to follow the same journey of evolution, acquiring new knowledge and preparing for what is already a new reality. This is not the future; it is a present that is merely waiting for everyone to adapt to this new Era.

Still drawing a parallel with the Industrial Age, many new roles were created as new elements were incorporated into the process. For example, machines need preventative and regular maintenance to stay operational; new needs emerged, and professionals were trained to fill these new positions.

Similarly, in the AI Era, the software development cycle will require different skills and job positions. We must adapt so that we can fully benefit from this unique moment. We are part of history!

But what happens to the developer who does not move in this direction? We only need to look at the past to understand what happens with every cycle of revolution: what happened to the "weaver" who didn't adapt? It is not about AI replacing developers, but about developers who master AI Agents occupying the positions of the "bit-shovellers."

GX2 Posture: Leadership and Innovation

The role of every IT Consulting firm is, or at least should be, one of leadership when it comes to technology and methodology. We must be at the forefront creating, testing, validating, innovating, and establishing the best work practices. We cannot simply observe all this without an active stance. We are the ones who must understand the movement and bring innovation "in-house," and subsequently, disseminate this knowledge and experience to our clients and partners.

And this is precisely the commitment that GX2 has always upheld and reinforces every day with our team. Our professionals are not only trained to execute best practices, but we encourage them to question them so that we can always find opportunities to improve!

The Limit of the Traditional Model

The market is saturated with "Old School," traditional-model squads that do not rely on AI Agents. There is no longer room for this format of work, at least not for companies and IT leaders seeking performance and efficiency.

Considering that this work format, without AI Agents, is obsolete, why do we still find many companies and teams working within it? The answer is simple: the unknown generates insecurity and delayed adoption of new work formats.

I reference the past as a learning point: remember when Cloud Drives (Dropbox, Google Drive, Microsoft OneDrive) emerged? Today, there is no discussion about how important it is to adopt shared, organized, and managed repositories. Early adopters quickly recognized the advantages; others took longer, cautious of the unknown.

The good side of this is that whenever we are unsure, we can ask for help and rely on those with experience. This is where GX2 comes in when implementing AI Agents in the Software Development Cycle.

The Evolution from Assistant to Autonomous Execution

Artificial Intelligence in the Software Development Cycle has evolved significantly. Initially, tools acted as assistants, recommending code snippets, autocompleting code, and interacting via chat to find bugs—a coding partner.

The current scenario is much bigger. In addition to coding assistance, we can delegate entire activities to AI Agents integrated into tools and the Production Pipeline. They operate autonomously, performing parallel activities while developers handle other tasks.

This is the concept of the GX2 Augmented Squad:

The team of developers is empowered by AI agents that work simultaneously. Each developer works side-by-side with specialized agents that take over tactical execution:

Bug fixing happens in parallel.
Unit tests are automatically created, ensuring 100% coverage.
Refactoring and secure code, including vulnerability checking (OWASP Top 10), are continuously applied.
Development of new functionalities can be delegated to these agents.
Technical documentation, often deprioritized, is also handled by the agents.

The result?

A significant increase in delivery capacity across the entire cycle: conception, development, and sustainment.

The Developer at the Center of the Strategy

By delegating tactical execution to AI agents, the human developer is freed up for what truly matters.

Their time is no longer consumed by routine tasks. Now, they focus on generating real value:

Complex business logic and impactful decisions.
System architecture and scalability.
Innovation and strategic problem-solving.
Technical review ensuring direction and quality.

In our methodology, HITL (Human-in-the-Loop) ensures all work by agents is validated. All code generated by AI Agents follows market best practices and includes explanatory comments.

Governance: Quality and Security SLAs

Increasing delivery speed without compromising quality is the central challenge of modern engineering. The autonomy of AI agents makes this possible but requires governance.

Our methodology integrates:

Continuous human supervision: Developers validate agents' work, ensuring alignment with the business vision.
Rigorous monitoring protocols: Code meets security (OWASP Top 10) and quality standards from the start.
SLAs for quality, security, documentation, and standardization, customized per client and project.

With AI agents executing checks and corrections in parallel, quality and security become continuous, not final stages.