12.0 Measuring and Scaling AI-Native Work | AI-Native Software Engineering — Asha

Connect the course into an evidence-driven operating model. Asha explains representative workflow evaluation, independent outcomes, held-out cases, denominators and cost, mandatory gates, bounded pilots, controlled automation, clear ownership and the capstone evidence package. This standalone overview is chapter 00 of lesson 12 in AI-Native Software Engineering. The following chapters provide deeper worked examples. CHAPTERS 00:00 A successful demonstration is only a beginning 00:20 Bring the course into one operating model 00:30 Evaluate the workflow you intend to use 00:50 Define success before seeing results 01:10 Measure more than completion 01:31 Separate guidance from held-out evaluation 02:01 Keep mandatory constraints separate 02:11 Work through an explicit classroom example 02:42 Include the cost of unsuccessful attempts 03:02 Repair the boundary and evaluate again 03:12 Start with a bounded pilot 03:22 Separate timing from authority 03:32 Define automation as a controlled action 04:03 Keep gates tied to evidence and consequence 04:13 Make the delivery handoffs explicit 04:43 Improve the operating model as a product 05:03 Build the course capstone evidence package 05:24 Prompt for an evaluation plan 05:44 Package the repeated evaluation procedure 06:04 Compare products under the same task contract 06:14 Make a rollout decision 06:34 Continue with the detailed capstone chapters COURSE AND SOURCES https://storage.googleapis.com/intera... https://sre.google/workbook/canarying... https://code.claude.com/docs/en/best-... https://cursor.com/blog/plan-mode https://learn.chatgpt.com/docs/prompt... The 20-attempt example, 90% threshold and accounting units are synthetic teaching choices. No product was benchmarked. Cost excludes human review and rework; passing selected gates does not grant release authority. Product behavior and supported configuration can change; verify the installed version and official documentation. Created with a fictional AI-generated presenter and illustrative cinematic scenes. Exact diagrams and code are authored educational graphics. Demonstration only — verify with the source. #AINativeEngineering #CodingAgents #SoftwareEngineering