Insights for Engineering Excellence
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August 17, 2026
The Best AI Workflow We Found Wasn’t Coding.
What if the best use of AI in software engineering isn’t writing code? Discover why debugging, research, and understanding emerged as the highest-value AI workflows in our engineering study.What if the best use of AI in software engineering isn’t writing code? Discover why debugging, research, and understanding emerged as the highest-value AI workflows in our engineering study.
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.
