The best leaders don’t choose between agile and waterfall—they learn to navigate the tension and switch gears with intention.

Software engineering has traditionally been about complex code and long development cycles. But things are changing now.

Risks of relying too heavily on AI for software development include bias in the data used to train models, cybersecurity ...

However, despite these challenges, progress is rapid. Karpathy suggested that we are entering the era of "Software 3.0." ...

AI coding tools like Bolt and Replit are disrupting the SaaS business model by lowering barriers to building custom software.

For example, Uber needed to create custom software for its drivers and customers; even though the business model existed already through taxis, the app-based ride-sharing process was new. 5. Your ...

This is called AI model collapse, and it’s a development risk we need to be aware of. Some AI models may get worse rather than better in the near future, and the consequences could be disastrous.

According to sources, among those leaving is Eric Souliere, VP Casting for 20th Television, who had been working on Ryan Murphy’s American Horror Story and 9-1-1 series. He is not going far ...

DeepSeek didn't reveal the source of the data it used to train the updated version of its R1 reasoning AI model, but some AI researchers speculate that at least a portion came from Google's Gemini ...

Ranked by Local FTE software development employees: 2025. Jun 20, 2025. Data Analytics & Tech Services . Ranked by Local Employment. Jun 24, 2025, 1:16 pm EDT Government & Regulations.