Keri Olson (@ksolson20, VP AI for Code at @IBM) talks about coding assistants across the software development lifecycle, the future of agents, and domain-specific assistants.

SHOW: 869

SHOW TRANSCRIPT: The Cloudcast #869 Transcript

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• While data may be shaping our world, Data Citizens Dialogues is shaping the conversation
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SHOW NOTES:

• IBM Watsonx Code Assistant (homepage)
• IBM Watsonx Code Assistant for Ansible Lightspeed (homepage)
• IBM Watsonx Code Assistant for Z (homepage)

Topic 1 - Welcome to the show. Tell us about your background, and then give us a little bit of background on where you focus your time at IBM these days?

Topic 2 - Developer code assistants have become one of the most popular areas of GenAI usage. At a high level, how mature are the technologies that augment developers today?

Topic 3 - Software development has an entire lifecycle (Generate, Complete, Explain, Test, Transform, Document). It’s easy for developers to just plug in a service, but is that often the most effective way to start using GenAI in the software development lifecycle?

Topic 4 - Software developers are notoriously picky about what tools they use and how they use them. GenAI doesn’t “guarantee” outputs. Are there concerns that if different developers or groups use different coding assistants, that it could create more challenges than it helps?

Topic 5 - What is a holistic way to think about code assistants? How much should be actively engaged with developers, how much should be behind the scenes, how much will be automated or agentic in the future?

Topic 6 - In the past, we essentially had “real developers” (people who wrote code) and things like Low-Code for “citizen developers” on process tasks. Do you expect to see code assistants bringing more powerful skills to people that previously hadn’t identified as a real developer? (e.g. the great idea on a napkin that turns into a mobile app)

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When you’re asking VCs for $6B+, you probably need to promise more than normal returns. So let’s just change all of humankind over the next 5-10 years. Seems simple enough.

SHOW: 868

SHOW TRANSCRIPT: The Cloudcast #868 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET

CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw

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SHOW NOTES:

• “Machines of Loving Grace” (Dario Amodei - Anthropic)
• Why AI companies are dropping the doomerism (Decoder from The Verge)
• “The Intelligence Age” (Sam Altman - OpenAI)

THINGS THAT AI COULD IMPROVE (according to Dario Amodei)

• Biology and Health
• Neuroscience and Mind
• Economic Development and Poverty
• Peace and Governance
• Work and meaning

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Edward Hieatt (@edwardhieatt, Chief Customer Officer @mech_orchard) talks about the challenges of app modernization, leveraging AI, and the process to succeed from legacy to modern.

SHOW: 867

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SHOW TRANSCRIPT: The Cloudcast #867 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"

SHOW NOTES:

• Mechanical Orchard (homepage)
• Startup led by ex-Pivotal CEO lands $50M to modernize apps (TechCrunch)

Topic 1 - Welcome to the show. Tell us about your background, and then give us a little bit of background on Mechanical Orchard.

Topic 2 - Many of the MO team come from Pivotal (especially Pivotal Labs), as well as being involved with the Agile Manifesto, Extreme Programming, etc. How did the mission of the company get focus on modernizing existing applications?

Topic 3 - Modernization projects have traditionally been really costly, with a low success rate. Why is now the right time to focus on this area?

Topic 4 - I’m really interested in how MO technology works. It seems like a variation of a digital twin, mixed with some AI capabilities. Give us the big picture of how this is a different approach to modernization.

Topic 5 - How much culture/process change is needed with MO to be successful?

Topic 6 - What do the stages of success look like with your approach to application modernization?

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