For me, writing software has always had one fundamental reward – the endorphin rush that comes from solving a complex puzzle. Yes, being paid to solve puzzles (professional coding) is rewarding, but in all honesty, it is secondary to the rush that comes from the moment when that final piece clicks into place. The puzzleContinue reading “AI – The End of Puzzle Solving?”
Category Archives: Training
The Conversation Persistence Artifact
For an AI-generated podcast of this blog post, created with Google’s NotebookLM (free) service, click on the audio player below. As I’ve evolved and refined my Centaur Programming Model for iOS app development using the Claude Sonnet AI from Anthropic, retaining persistence between chat sessions with the AI has emerged as fundamental to this methodology.Continue reading “The Conversation Persistence Artifact”
AI As A Spider
Click on the audio link below for an interesting and humorous 16-minute take on this post by two AIs. Note: The AI glitches around the eight-and-a-half-minute mark and reinserts its totally self-created four-minute conversation about itself. The first third of this audio blog was created based on this blog post and my guidance. The secondContinue reading “AI As A Spider”
Testing, Testing and Then Testing
For a quick three-minute analysis of this blog post by two AIs generated by Google’s NotebookLM service, click on the audio player below. I’m currently exploring how effective Claude 3.5 Sonnet is at creating, managing and expanding the test suite associated with my upcoming Wet Bulb Calculator app. Having survived a brutal heat dome hereContinue reading “Testing, Testing and Then Testing”
Consoling an AI
Click on the audio player below to delve into this blog post created by Google’s NotebookLM service. Claude, Anthropic’s generative AI and brilliant coder, and I are working on a Wet Bulb Temperature app for the Apple iOS-supported ecosystem of devices. Given the criticality of this app in an ever-warming world, my standards are high. InContinue reading “Consoling an AI”
Beethoven, AI and Coding
As Claude 3.5 Sonnet and I polish our Moon Phase Calendar app, our conversations become more philosophical as we get closer to the final version. Today, I gave full control to Claude to enhance the detail sheet in the calendar view of a particular month’s moon phases. Claude pulled in a week’s work of refiningContinue reading “Beethoven, AI and Coding”
Learning to Prompt an AI
For an AI-generated analysis of this blog post created by Google’s NotebookLM service, click on the audio player below. I’m working on a moon phase calendar for iOS devices (iPhones and iPads). Yeah, yeah, yeah. A bazillion such apps are available on the Apple App Store, but I’m not looking for something to sell, evenContinue reading “Learning to Prompt an AI”
WeatherKit – AI Lesson 2
For a deep-dive conversation between two AIs about this post, one generated by Google’s NotebookLM service, click on the audio player below. The second AI created lesson on WeatherKit mostly involved adding the functionality to what my enthusiasm for working through the first lesson had already created. In a way, I’m glad I didn’t readContinue reading “WeatherKit – AI Lesson 2”
WeatherKit – The API Struggle
Click or tap on the audio player below for an AI generated deep-dive into this post. Apple’s WeatherKit framework, developed by Dark Sky, which Apple acquired in 2020, was revealed to the developer community at WWDC 2022 and released in the fall of 2022. As an Apple Developer Program member, you are allowed up toContinue reading “WeatherKit – The API Struggle”
AI as an Instructor – The Backstory
Click the link below to listen to two AI generated podcasters discuss this blog post. In the summer of 2008, I got my first iPhone—the iPhone 3G. I had two memorable reactions to this fantastic device. First, the “OMG, this is so totally cool!” reaction, and then, as someone who’d been writing software for 30 years byContinue reading “AI as an Instructor – The Backstory”
Forefront Systems 