Cursor’s experiment shows how AI is shifting from answering prompts to running real projects—hinting at a future where ...

What if coding didn’t have to start with chaos? Imagine tackling a complex software project, not with scattered ideas and frantic trial-and-error, but with a clear, structured roadmap guiding every ...

AI's role in finance is evolving, and finance teams must now focus on delivering tangible results.

Before you launch another AI project, ask this one questionMany AI and low-code programmes fail not because of poor technology choices, but because organisations underestimate readiness. Understanding ...

Your project is on schedule, until legal reviews take way longer than anticipated. You find out—too late—this exact situation happened with another a project a few years ago. Sound familiar?

OpenCode speeds up coding by 40x with Plan and Build Modes, so you finish features faster while keeping your data private.

Although 95% of AI projects fail, research shows that successful initiatives focus on infrastructure. Top hurdles include poor integration, lack of skill sets, and difficulty building in-house AI ...

IT leaders rushing ahead on generative AI projects often don’t realize the technical junk they might inadvertently be creating. Gunslinging IT leaders with high generative AI (genAI) experiment ...

If you're leading a team in 2026, use this easy AI workflow to halve your prep and post-meeting time, and boost your ...

Recently [Faith Ekstrand] announced on Mastodon that Mesa was updating its contributor guide. This follows a recent AI slop incident where someone submitted a massive patch to the Mesa project with ...

The code generated by large language models (LLMs) has improved some over time — with more modern LLMs producing code that has a greater chance of compiling — but at the same time, it's stagnating in ...