The technology landscape is moving so quickly that software developers will need to build continuous learning into their daily activities.

Software development requires more than code. Teams need people who understand the system, spot missing context and take responsibility for what reaches production.

Andrew Caldwell says AI lets him build more, blurs the lines between team roles, and raises the stakes for human oversight.

Increasing use of AI in software development will make developer decisions and judgment more important, not less. Provided byThoughtworks Rumors of the ongoing death of software development — that ...

This article is authored by Prashanth Nanjundappa, VP, Product, Chief AI Officer Team, Progress Software.

Software complexity, quality gaps and regulation are driving demand for integrated toolchains, cybersecurity, OTA and simulation, while M&A accelerates platform consolidation.Dublin, Sept. 25, 2026 ...

JetBrains Air system will comprise existing and future tools for executing, controlling, and governing software delivery ...

Factory has raised $200 million in new financing at a $5 billion valuation as the enterprise AI software company scales its ...

Overview:  Python’s extensive ecosystem supports everything from data preparation to model training. Go takes a different ...

On Monday, OpenAI unveiled a new way to embed third-party apps directly into ChatGPT. At the company’s annual developer conference in San Francisco, CEO Sam Altman said the move would “enable a new ...

AI can produce code. Organizations still have to produce software. Agentic development is changing how software gets made, but it hasn’t changed what it costs to be wrong. Six months ago, we began ...