Architecture as Code

When dealing with complex and large-scale software solutions we may encounter several limitations to growth. One of them is the capability to organize effective communication and collaboration within a topology of teams. Knowledge often remains siloed, leading to misunderstandings. Documentation quickly becomes outdated transforming agile intentions into fragile realities, making architectural changes risky, costly, and slow. Architectural drift becomes a silent saboteur.

When dealing with large-scale software solutions, several limitations to growth may appear. One of them is outdated documentation, incomplete communication of requirements, reasons for previous decisions, or behaviors of the system's parts. As businesses extend their processes, the variety of utilized processes, teams and technologies increases rapidly. The web of dependencies grows between our services or subsystems, but more critically among various groups of stakeholders, specialists and target customer groups.

We believe that good software design has positive impact on all software delivery life cycle. Good software design should reflect business requirements and should be aligned with business goals. Therefore it is natural that design evolves with business and changed in time. Tracking such design changes is nothing different than tracking changes in codebase reflecting business rules.

Process Automation

As businesses extend their processes the web of dependencies grows. Dependencies not only between our services or subsystems, but more critically among various groups of stakeholders, specialists and target customer groups. As industry we have learned how to continuously discover processes, how to track each change in code or how to automate deployments. Now it is time to embrace continuous change in software architectures.

Generative Visualizations

- **Fostering a Culture of Continuous Design:** Learn how to champion these approaches within your teams and organizations to build more resilient, maintainable, and agile systems - **Improving Cognitive Load:** Explore how these "as code" methodologies (including text-to-diagram with D2 and workflow-as-code with Kogito), potentially enhanced by DSLs and better HCI in tooling, can reduce cognitive load when dealing with intricate systems.