Insights
From AI Assistant to Agent Fleet: How We Build and Estimate in 2026
Software development has typically followed a familiar rhythm – a rhythm that has evolved over time but has fundamentally remained on the same track. We chose a stack and selected tools we trusted. We planned architectures around constraints and reasonably stable capabilities. Change happened, but slowly enough that it was manageable.
Stop Building AI Teams. Start Building AI Capability.
Software development has typically followed a familiar rhythm – a rhythm that has evolved over time but has fundamentally remained on the same track. We chose a stack and selected tools we trusted. We planned architectures around constraints and reasonably stable capabilities. Change happened, but slowly enough that it was manageable.
IT Is a People Business: How Human Dynamics Shape Project Success
Software development has typically followed a familiar rhythm – a rhythm that has evolved over time but has fundamentally remained on the same track. We chose a stack and selected tools we trusted. We planned architectures around constraints and reasonably stable capabilities. Change happened, but slowly enough that it was manageable.
Modern Software Development Requires More Than Modern Tools
Software development has typically followed a familiar rhythm – a rhythm that has evolved over time but has fundamentally remained on the same track. We chose a stack and selected tools we trusted. We planned architectures around constraints and reasonably stable capabilities. Change happened, but slowly enough that it was manageable.
A Sea Change in How We Build Software
Software development has typically followed a familiar rhythm – a rhythm that has evolved over time but has fundamentally remained on the same track. We chose a stack and selected tools we trusted. We planned architectures around constraints and reasonably stable capabilities. Change happened, but slowly enough that it was manageable.
Practical AI – The Intersection of Innovation, Adoption, and Regulation
2025 marks a turning point for AI. No longer confined to experimental projects or limited tasks, AI is now assisting with business workflows, seamlessly integrating into operations and driving outcomes.