As more workers use AI, a recent study adds to growing evidence the tech doesn’t always deliver on promises of boosted productivity.

AI is powerful, but it is not magic. Just because developers use AI tools does not mean outcomes will improve automatically.

SAN FRANCISCO (Reuters) -Contrary to popular belief, using cutting-edge artificial intelligence tools slowed down experienced software developers when they were working in codebases familiar to them, ...

When calculating your software development outsourcing budget for 2026, include a line item for maintenance. Typically, this is 15-20% of the initial development costs annually. A partner like ...

Software engineering is among the many fields being changed with the fast progress in large language models (LLMs). In a few years, LLMs have evolved from advanced code autocomplete tools to AI agents ...

One area where generative AI tools have shown real potential is assisting developers in creating software, as well as the testing platforms and documentation that go along with it, according to a new ...

Software is hitting its peak electrification moment, and the traditional software developer’s role is shifting quickly as a result. Jeff Bezos once said that in the early days of electrification, ...

It can autonomously plan and execute thousand-step tasks. It can build and deploy entire software projects all by itself. It can research and fix bugs 7x better than OpenAI's GPT-4, and it trains and ...

Software development requires powerful features and industry-specific integrations in order to manage projects effectively. Project management tools for developers often come with more customization, ...

In one recent study, AI hampered the productivity of software developers. AI tools don’t always boost productivity. A new study from Model Evaluation and Threat Research found that when 16 software ...