Skip to main content

The Waiting Game - again...

It's funny how product development works. You work on a tool for so long that you almost forget when it came out. Visual FoxPro 9 was released in 2004 - a good 3 years ago. I recall back in the Advisor Devcon in 2001 when MS totally blew their opportunity to introduce DotNet into the FoxPro community. It was too bad.



But even now, when I was doing the FoxShow  with Rick and Markus and others about which version of Visual Studio to get into, the issue about which version continually came up. You could learn the ADO.Net from earlier versions, or you could wait for Orcas (still waiting but it's a lot closer). You could use Winforms or switch over to WPF (just about there) and now, from Info week, we get



How Long Will You Wait For Silverlight? - Microsoft Blog - InformationWeek



suggesting that it won't be available until the spring of 2008.



It's a tough call for developers - do you develop in the current tool of the day (which today would be VS 2005, even though I do know of a few shops that still won't deploy a DotNet 2.0 framework just yet) - or do you jump ahead into the future, KNOWING that while you might be able to deploy with a beta version, it's a tough call to make - knowing you might get a lot of paper cuts from earlier software.



But in some ways it works - many FoxPro developers made the jump to DotNet early on and are now reaping the benefits of it. But it still is a tough decision to make - especially when you've got Products to build and work with.



The seeds for Foxfire! 8.0 was first started back in late 2002 when a challenge was made as to whether "could we do this...." - it just got released this week but it doesn't stop there - there's more to do - more features to add to a new version.



And yet sometimes developers lose focus of what customers really want - "something that works"



Will they wait?





Powered by ScribeFire.

Comments

Popular posts from this blog

Elevating Project Specifications with Three Insightful ChatGPT Prompts

For developers and testers, ChatGPT, the freely accessible tool from OpenAI, is game-changing. If you want to learn a new programming language, ask for samples or have it convert your existing code. This can be done in Visual Studio Code (using GitHub CoPilot) or directly in the ChatGPT app or web site.  If you’re a tester, ChatGPT can write a test spec or actual test code (if you use Jest or Cypress) based on existing code, copied and pasted into the input area. But ChatGPT can be of huge value for analysts (whether system or business) who need to validate their needs. There’s often a disconnect between developers and analysts. Analysts complain that developers don’t build what they asked for or ask too many questions. Developers complain that analysts haven’t thought of obvious things. In these situations, ChatGPT can be a great intermediary. At its worst, it forces you to think about and then discount obvious issues. At best, it clarifies the needs into documented requirements. ...

Respect

Respect is something humans give to each other through personal connection. It’s the bond that forms when we recognize something—or someone—as significant, relatable, or worthy of care. This connection doesn’t have to be limited to people. There was an  article  recently that described the differing attitudes towards AI tools such as ChatGPT and Google Gemini (formerly Bard). Some people treat them like a standard search while others form a sort of personal relationship — being courteous, saying “please” and “thank you”. Occasionally, people share extra details unrelated to their question, like, ‘I’m going to a wedding. What flower goes well with a tuxedo?’ Does an AI “care” how you respond to it? Of course not — it reflects the patterns it’s trained on. Yet our interaction shapes how these tools evolve, and that influence is something we should take seriously. Most of us have all expressed frustration when an AI “hallucinates”. Real or not, the larger issue is that we have hi...

Friend vs Therapist vs LLM: Shades of Grey

The conversations with AI series brings up a single point and then compares it between different LLM engines. These types of conversations were one of the many contributing factors to my writing of " Towards Consciousness " that explores the benefits and issues of creating a conscious AI. In this scenario, I was interested in seeing how an LLM might differ from a friend or therapist on issues that may have nuanced responses or contexts. In doing so, I came up with an interesting discussion on shades of grey. My Premise: Is it a bit strange to be using an LLM as a sober second thought? Every time I walk down this path of “why use an LLM to do certain things”, I come back to the alternatives that people like to say. “Why not bring it up with a friend?” A friend typically has your back or will say whatever to support their own agenda. “A therapist?” That’s someone who is “trained” to be impartial. But a computer? A computer is impartial based on two logical outcomes. If you say ...