Hexagon Systems · Insights

Thinking about how software is built.

Software engineering is changing rapidly. Our writing explores what artificial intelligence changes, what established engineering disciplines still require, and how teams can make informed technical decisions.

Published series

Software Development in the Age of AI

This ongoing series examines the practical consequences of introducing AI into software development. It follows the work from planning and architecture through implementation, testing, integration and release, including the difficulties of changing established applications.

Topics include AI as an engineering dependency, the chain of trust between generated code and production, release governance, architectural change, legacy systems and the evidence needed to judge whether AI is improving delivery.

Read the series on Substack

Questions behind the series

How do teams verify work produced with AI? Where should architectural decisions and accountability remain with engineers? What changes when existing systems, dependencies and production operations enter the picture?

These questions connect AI-assisted development to the wider practice of software engineering, including genuine iterative delivery, quality controls and operational feedback.

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