Add some points to the "What about AI?" section (#2021)

One thing I think is very underemphasized in CAP's contribution to
enabling the "vibe coding" workflow at SAP is our promotion of VS Code,
GitHub and other standard tooling where all the new cool AI features
ship.

---


Look at this failed capire/samples deployment run for example:

https://github.com/capire/samples/actions/runs/16732123973/job/47413558425

You can just use the "Explain Error" button and it explains what went
wrong:
<img width="980" height="161" alt="Screenshot 2025-08-12 at 13 18 30"
src="https://github.com/user-attachments/assets/70412b99-d933-4ac1-b6ca-17e6038746a7"
/>


As we print service + deployer logs the LLM isn't missing important
context and can analyze the problem quite well:
<img width="603" height="753" alt="Screenshot 2025-08-12 at 13 18 19"
src="https://github.com/user-attachments/assets/90184360-6a5b-4a73-9ef7-9ffbade724b3"
/>

Author: swaldmann

about/index.md

@@ -378,11 +378,16 @@ Keeping pace with a rapidly changing world of volatile cloud technologies and pl
 ## What about AI? <UnderConstruction/>
 
 - AI provides tremendous boosts to productivity → for example:
-  - **Coding Assists** → for example, by [Copilot](https://en.wikipedia.org/wiki/Microsoft_Copilot) in `.cds`, `.js`, even `.md` sources
+  - **Coding Assists** → for example, by [GitHub Copilot](https://github.com/features/copilot) in `.cds`, `.js`, even `.md` sources
   - **Code Analysis** → detecting [bad practices](bad-practices) → guiding to [best practices](best-practices)
   - **Code Generation** → for example, for tests, test data, ...
   - **Project Scaffolding** → for quick head starts
-  - **Search & Learning Assists** → like Maui, ...
+  - **Search & Learning Assists** → like SAP Joule, ...
 - But this doesn't replace the need for **Human Intelligence**!
   - There's a different between a GPT-generated one-off thesis and long-lived enterprise software, which needs to adapt and scale to new requirements.
-- **CAP itself** is a major contribution to AI → its simple, clear concepts, uniform ways to implement and consume services, capire, its openness and visibility in the public world, ...
+
+By **embracing and advocating standard tooling** like VS Code and GitHub Actions, CAP ensures its projects are day-one beneficiaries of new AI features rolled out there.
+
+**CAP itself** is a major contribution to AI → its simple, clear concepts, uniform ways to implement and consume services make it easier for AIs and humans alike to reason about the system.
+
+Its openness and public visibility helped influence the very first AI models — even the original ChatGPT knew some CAP, and its baked-in knowledge of it has since improved dramatically.