85% say code review is the new bottleneck. Here's what the AI coding narrative leaves out.

The perception that code reviews are bottlenecks may undermine confidence in traditional coding practices.

While AI presents opportunities to improve coding workflows, its current limitations in enhancing code reviews are highlighted as problematic.

Inefficiencies in the code review process could slow down deployment and integration cycles.

While anticipated to enhance workflows, they are currently viewed as inadequate in addressing code review issues.

Struggling with inefficiencies attributed to traditional code review processes.

No direct cybersecurity threats identified.

Concerns about data protection may arise with AI integrations.

Organizations may face reputational challenges if they cannot address developer concerns over review processes.

Implementation of new AI tools may not achieve desired efficiencies.

Potential for increasing reliance on infrastructure that supports AI coding tools.

No significant geopolitical implications identified.

Current regulations in the coding space are not directly impacted by these sentiments.

No significant supply chain impacts anticipated.

The rise of AI tools may lead to shifts in Developer roles.

Inaccuracies in AI coding tools could lead to liability issues.