What does the future of software engineering look like?
6 hours ago
- #AI-native development
- #future trends
- #software engineering
- The event discussed the shift to AI-native software development and its implications.
- Key themes included the need for rigor in new areas as AI produces more code.
- Supervisory engineering emerged as a new type of work between coding and release management.
- Engineering is evolving into risk management with faster and cheaper code production.
- Investing in self-healing systems, incident response, and observability benefits both AI and humans.
- Teams, roles, and organizational design remain open issues in the AI era.
- Semantic layers and knowledge graphs are becoming crucial for agent interaction.
- Discussions explored whether source code will remain the primary artifact for humans.
- Security concerns were raised, especially regarding AI agents' broad tool access.
- The gap between small-scale AI experiments and enterprise-scale adoption was acknowledged.