Questions for CTOs & PMs: Why is software delivery still slow in the AI era?

AI coders (Cursor, Claude Code, Copilot) made writing code almost instant. Yet, shipping features to production still takes weeks.

We’re running an open market research study to map out modern delivery bottlenecks. If you lead an engineering or product team, we’d love your take!

Drop your answers in the comments below:

1️⃣ The Bottleneck: What is currently the single slowest phase in your delivery loop (e.g., scoping, PR code reviews, QA handoffs, deployment, or status tracking)?

2️⃣ Context Loss: When tasks move between PM - Dev - QA, is execution context lost (e.g., why architectural decisions were made)? Does this history survive, or does it die in Slack threads?

3️⃣ Supervision Overhead: How much time do your Senior Devs / Tech Leads spend manually verifying, debugging, and controlling AI-generated code before approving PRs?

4️⃣ Future Vision (2–3 years): What is the ONE routine task you wish an autonomous platform would take 100% off your plate today?