Navigating AI in Software Development: A Call for Dialogue
As we embrace AI coding assistants like Claude and Cursor, the way we build software is under scrutiny. Are we sacrificing core engineering principles for speed? Here’s the dilemma:
- Pressure to Adapt: Leadership encourages a startup approach—big PRs, fewer tickets, and solo work with AI.
- Concerns:
- Knowledge Silos: Risk of individuals becoming indispensable.
- Learning Opportunities: Junior engineers miss out on vital learning experiences.
- Code Quality: Can we genuinely review extensive PRs, or do we risk “shipping it and fixing bugs later”?
Balanced Perspectives:
- Startups thrive using rapid, big-PR models.
- AI may be reshaping expectations, challenging long-standing practices.
I believe AI should enhance workflows, not replace critical processes. How do we balance speed with quality in the AI era?
Join the Conversation: Share your insights and experiences! What does effective software engineering look like in 2025?
