Software Engineering Won't Be Over

8 hours ago

The idea that software engineering is ending is a recurring misconception, often fueled by advancements like AI, but the core challenges of collaboration and organizational dynamics persist.
Organizational structures create tension between autonomy (allowing teams to move fast and own decisions) and alignment (ensuring teams work coherently toward a shared vision). This tension is inherent and necessary, preventing failure modes like chaos or stagnation.
AI tools can enhance individual productivity by simplifying code creation, but they cannot replace the human conversations and negotiations required to navigate overlapping domains, maintain system integrity, and foster alignment across teams.
As AI lowers barriers, more non-engineers gain autonomy, increasing the need for cross-functional alignment conversations. Engineers must guide these interactions, sharing context and adapting boundaries without blocking collaboration.
Effective software engineering involves using AI as a tool within human-in-the-loop processes to improve decision-making and capability within owned domains, rather than bypassing human oversight or ownership.
The role of a software engineer evolves toward becoming better at facilitating communication, understanding trade-offs, and balancing autonomy with alignment, ensuring systems remain cohesive as tools and boundaries change.

Hasty Briefsbeta