I’m a final‑year engineering student working on Python and ML projects, so Kiro’s spec‑driven approach to agentic development really caught my eye. Treating structured specs as the main unit of work – and then using the AI IDE to turn those specs into plans, code, and iterations – feels like a much healthier alternative to “vibe coding” when you actually want to go from prototype to production. I also like the focus on giving developers granular control over context and agent hooks, so AI can help with big refactors and deployments without becoming a black box across the codebase. I’m curious how teams balance working at the spec level versus dropping back into normal line‑by‑line coding inside Kiro, especially on larger projects where requirements change frequently.