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Navigating the AI-Augmented Developer Landscape | EP 204

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Manage episode 497219602 series 2531704
Content provided by SADA, An Insight Company, SADA, and An Insight Company. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SADA, An Insight Company, SADA, and An Insight Company or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

What happens after AI helps you write code faster? You create a bottleneck in testing, security, and operations. In part two of their conversation, SADA's Simon Margolis and Google Cloud's Ameer Abbas tackle this exact problem. They explore how Google's AI strategy extends beyond the developer's keyboard with Gemini Code Assist and Cloud Assist, creating a balanced and efficient software lifecycle from start to finish.

We address the burning questions about AI's impact on the software development ecosystem: Is AI replacing developers? What does the future hold for aspiring software engineers? Gain insights on embracing AI as an augmentation tool, the concept of "intentional prompting" versus "vibe coding," and why skilled professionals are more crucial than ever in the enterprise.

This episode offers practical advice for enterprises on adopting AI tools, measuring success through quantitative and qualitative metrics, and finding internal champions to drive adoption. We also peek into the near future, discussing the evolution towards AI agents capable of multi-step inferencing and full automation for specific use cases.

Key Takeaways:

  • Gemini Code Assist: AI for developer inner-loop productivity, supporting various IDEs and SCMs.
  • Gemini Cloud Assist: AI for cloud operations, cost optimization, and incident resolution within GCP.
  • AI's Role in Development: Augmentation, not replacement; the importance of human agency and prompting skills.
  • Enterprise Adoption: Strategies for integrating AI tools, measuring ROI, and fostering a culture of innovation.
  • The Future: Agents with multi-step inferencing, automation for routine tasks, and background AI processes.

Relevant Links:

Listen now to understand how AI is shaping the future of software delivery!

Join us for more content by liking, sharing, and subscribing!

🎙Subscribe on Spotify

🎙Subscribe on Apple

📺 YouTube playlist

🔗SADA website

Host: Simon Margolis, Associate CTO of AI & ML, SADA, An Insight company Guest: Ameer Abbas, Senior Product Manager, Google Cloud

To learn more, visit our website here: SADA.com

  continue reading

206 episodes

Artwork
iconShare
 
Manage episode 497219602 series 2531704
Content provided by SADA, An Insight Company, SADA, and An Insight Company. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SADA, An Insight Company, SADA, and An Insight Company or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

What happens after AI helps you write code faster? You create a bottleneck in testing, security, and operations. In part two of their conversation, SADA's Simon Margolis and Google Cloud's Ameer Abbas tackle this exact problem. They explore how Google's AI strategy extends beyond the developer's keyboard with Gemini Code Assist and Cloud Assist, creating a balanced and efficient software lifecycle from start to finish.

We address the burning questions about AI's impact on the software development ecosystem: Is AI replacing developers? What does the future hold for aspiring software engineers? Gain insights on embracing AI as an augmentation tool, the concept of "intentional prompting" versus "vibe coding," and why skilled professionals are more crucial than ever in the enterprise.

This episode offers practical advice for enterprises on adopting AI tools, measuring success through quantitative and qualitative metrics, and finding internal champions to drive adoption. We also peek into the near future, discussing the evolution towards AI agents capable of multi-step inferencing and full automation for specific use cases.

Key Takeaways:

  • Gemini Code Assist: AI for developer inner-loop productivity, supporting various IDEs and SCMs.
  • Gemini Cloud Assist: AI for cloud operations, cost optimization, and incident resolution within GCP.
  • AI's Role in Development: Augmentation, not replacement; the importance of human agency and prompting skills.
  • Enterprise Adoption: Strategies for integrating AI tools, measuring ROI, and fostering a culture of innovation.
  • The Future: Agents with multi-step inferencing, automation for routine tasks, and background AI processes.

Relevant Links:

Listen now to understand how AI is shaping the future of software delivery!

Join us for more content by liking, sharing, and subscribing!

🎙Subscribe on Spotify

🎙Subscribe on Apple

📺 YouTube playlist

🔗SADA website

Host: Simon Margolis, Associate CTO of AI & ML, SADA, An Insight company Guest: Ameer Abbas, Senior Product Manager, Google Cloud

To learn more, visit our website here: SADA.com

  continue reading

206 episodes

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