Panel Discussion: Beyond vibe coding: Expanding AI’s role in delivery
summary
Panel argues AI speeds feedback and prototyping (a 5‑day proof‑of‑concept example) but does not replace experience: teams embed continuous embedded security checks into CI/CD, use RAG for context, and see SOC L1 triage automated while L2/L3 remains human. Accuracy often lands around 80–90% in logs, unmanaged code and RAG/agents risk of prompt injection require human gating, and scaling needs AI readiness, data cleanup, and governance rather than blind rollout.
AI-written summary · about
chapters (12)
- 0:00Panel introduction
- 1:10AI replacing delivery jobs?
- 4:01Cybersecurity impact
- 5:46Human vs AI skills
- 9:19AI value in delivery
- 13:54AI in accessibility
- 14:36Scaling AI pilots
- 17:08Starting AI journey
- 22:26Improving AI accuracy
- 27:05AI and critical thinking
- 33:46Training new engineers
- 39:31Closing remarks
related talks
50mPanel: Beyond The Vibe: Code Quality First
46mPanel Discussion: AI's Impact on Developers
01h 02mPanel Discussion: Embracing Agentic AI: From Autonomous Goals to Enterprise Guarantees
01h 05mPanel Discussion: Building Confidence in AI-Driven Testing Decisions
51mLive Panel Discussion: Less Code? More Vibes? Web Dev in the AI Era
47mPanel about vibe coding
44mPanel Discussion | The AI Revolution in Testing: Opportunities and Challenges
59mPanel Discussion: Strategies for Scaling AI in Quality Engineering
