Blog

Insights & Thought Leadership

Expert perspectives on enterprise AI, governance, platform engineering, and digital transformation.

Tagged: vibe coding

2 articles

Why Vibe Coding Fails: Fix AI-Built Apps with CodeConductor

Vibe coding fails when AI-built apps move from quick prototypes to production without testing, security checks, observability, version control, or clear ownership. These apps may work in a local demo, but they often break when APIs change, dependencies drift, user traffic grows, or edge cases appear. CodeConductor.ai helps fix this by turning vibe-coded prototypes into structured, production-ready applications with automated tests, security scans, CI/CD pipelines, rollback paths, monitoring, and maintainable workflows.

vibe coding

Paul Dhaliwal

Updated Jun 3, 2026·15 min

Vibe Coding

Vibe Coding for PMs: From Prototype to Production in Minutes

Vibe coding helps product managers turn ideas into working prototypes fast, but it is not enough for production-grade enterprise software. PMs can use tools like Replit Agent or Cursor to validate sales dashboards, CRM workflows, and internal apps, then hand off structured specs to serious AI engineering platforms like CodeConductor. While vibe coding supports quick alignment, CodeConductor adds the architecture, security, testing, integrations, CI/CD, and observability needed to ship scalable applications. The winning workflow is simple: vibe code to clarify the vision, then use CodeConductor to turn that vision into secure, reliable, production-ready software.

vibe coding

Paul Dhaliwal

Updated Jun 3, 2026·14 min

Stay in the loop

Get expert insights on enterprise AI, governance, and platform engineering delivered to your inbox.

No spam. Unsubscribe anytime.