The AI vendors that will end up winning will be those that earn customers’ trust. OpenAI seems to be doing the opposite.
Use of AI has increased both the amount of code delivered and the amount of code that needs reworking. Don’t use more AI than you can handle.
Is anyone building practical, reliable AI applications for workaday developers? Right now success in AI requires the skills of a tech alpha who enjoys tinkering with primitive tools.
Meta and other leading makers of ‘open’ AI models aren’t willing to cede policing of the term ‘open source’ to the Open Source Initiative. And developers don’t seem to care.
With its founder returning and new developments in generative AI, the company is forging a different future than its Valkey fork.
The security of genAI models is iffy and takes a back seat to other issues, but with developers increasingly using genAI for code, it needs to become a priority.
Generative AI tools write code quickly, but need constant supervision and correction. They can be more harmful than helpful in the hands of junior engineers.
Following the crowd can be an expensive mistake—just ask the developers trying to make Kubernetes or AI fit.
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