Insights for Engineering Excellence
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August 6, 2026
We Asked 250 Engineers Where AI Fails. The Answers Were Surprisingly Consistent.
AI doesn’t fail randomly. It fails predictably. Discover the patterns 250 engineers identified and learn where AI creates value, where it creates friction, and why understanding remains the biggest bottleneck in software development.AI doesn’t fail randomly. It fails predictably. Discover the patterns 250 engineers identified and learn where AI creates value, where it creates friction, and why understanding remains the biggest bottleneck in software development.
August 5, 2026
The Highest-Performing AI Teams Aren’t Using Better Models. They’re Using Better Delivery Practices
AI success isn’t determined by model quality alone. Learn how high-performing engineering teams use AI for debugging, implementation, and delivery while avoiding review overload, rework, and trust issuesAI success isn’t determined by model quality alone. Learn how high-performing engineering teams use AI for debugging, implementation, and delivery while avoiding review overload, rework, and trust issues
August 3, 2026
AI Generated ~14% Productivity Gains. Only ~6% Reached Delivery Outcomes. We Asked 250 Engineers Why.
How do you measure the real impact of AI in software engineering? This case study introduces Agentic Experience (AX), revealing why AI-generated productivity gains often disappear through review, validation, and rework before reaching production.How do you measure the real impact of AI in software engineering? This case study introduces Agentic Experience (AX), revealing why AI-generated productivity gains often disappear through review, validation, and rework before reaching production.
