Today: What the first week of Q1 Big Tech earnings says about the enterprise market heading into the rest of the year, the creators of NATS are trying to pull off the old-fashioned "takesies-backsies" gambit with the CNCF, and the latest enterprise moves.
Today: Microsoft reveals its progress toward reorienting the company around security, AWS picks an interesting time for some "routine capacity management," and the latest funding rounds in enterprise tech.
Today: How Houston Methodist is using a generative AI assistant to check in on discharged patients, why AI coding assistants might soon be billion-dollar properties, and the latest enterprise moves.
Visual Studio Code is a vital pieces of Microsoft's enterprise strategy, which banks on the goodwill developers have for both products to drive business to Azure and its other enterprise software products. But software development practices and preferences are changing rapidly.
GitHub Copilot users will be able to swap in AI models from Anthropic and Google in place of the default models from OpenAI. When the flagship product of the generative AI era takes such a step, it's a sign OpenAI's leadership position is waning.
Openings for tech jobs regularly generate an overwhelming number of applications, partly because remote work is more common and AI tools are automating the process. That creates a significant burden on both hiring organizations and would-be employees.
After Cockroach Labs announced earlier this month that CockroachDB would switch to a proprietary model, Oxide Computer Company decided to take a unique approach to preserving its investments in Cockroach's open-source software.
There are lots of companies interested in generative AI apps with money but limited skills. They'll need helpful platform tools to get up and running, and competition in this category could set the tone for the enterprise AI era.
"This might be the best executed supply chain attack we've seen described in the open, and it's a nightmare scenario." There's no real plan to prevent the next one.
It's getting hard to understand why any company should consider using open-source software released under a traditional license by a venture-backed startup.
The premise behind the Agile Manifesto is that developers, the users they serve, and business stakeholders all benefit by working together. But too often, organizations are faking true change by plastering a new label on older software development practices.
Enterprise tech vendors promised customers that they will indemnify them from legal claims made against the output produced by generative AI tools. However, none of those companies want to talk about how it will actually work.
GitHub plays a central role in modern software development. Plan to embed generative AI tech into a fundamental part of that experience has some developers concerned about a lack of focus.
AWS evolved into one of the biggest businesses enterprise tech has ever seen by taking the Home Depot approach; it offers everything companies need to build digital experiences around their businesses, but it's up to you to find it and put it together. However, the market has shifted.
If we assume that every company has become a software company, that means software developers have become some of the most valuable (and expensive) employees on the payroll. How do companies know they're getting the most out of their investment in those employees?
