Everything on Tooling Strategy

Frontier firms have significantly higher adoption rates of plugins and skills, with 19% of users employing skills compared to 3% at typical firms. This tooling gap is a key driver of the performance divergence.

Impact: Investing in agent integration layers and reusable skills is critical for maximizing AI ROI and closing the performance gap.

— from Agentic AI Widens Enterprise Performance Gap · The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis· Aug 25, 2026

Custom-built internal platforms for development management offer greater flexibility and integration with AI tools than generic third-party solutions. This allows for tighter alignment between development processes and AI capabilities.

Impact: Building custom platforms reduces dependency on external vendors and enables rapid iteration on development processes, enhancing the overall efficiency of the engineering team.

— from Agentic AI: CTO Strategy for SaaS Survival · Becoming CTO Secrets· May 19, 2026

Multi-model usage is the norm, with users averaging 3.5 models. This portfolio approach allows for optimized tool selection per task.

Impact: Single-vendor lock-in strategies may underperform; flexible access to multiple models is required for maximum value.

— from AI Value Shift: Beyond Time Savings · The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis· Feb 13, 2026