Three skills that matter when AI handles the coding

Writing code has always been the most time- and resource-intensive task in software development. AI is changing that, and faster than most engineering organizations are prepared for. Tools like Claude Code and Cursor are already handling significant parts of code construction, freeing developers to spend more time on requirements, architecture, and design. But that shift…

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The hidden cost of front-end complexity

Front-end development has never been more capable. Modern frameworks offer fast rendering pipelines, component composition, powerful tooling, and a growing ecosystem of libraries that promise to make building sophisticated applications easier than ever. Yet many teams experience exactly the opposite — increasing difficulty. Applications grow harder to reason about. Features interact in unexpected ways. Simple…

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MongoDB targets AI’s retrieval problem

For all their technical capabilities, large language models (LLMs) still have a memory problem. They can lack the ability to retain context across conversations, and don’t always contain the frameworks to let them access relevant data, ultimately making their results unreliable and untrustworthy. NoSQL database pioneer MongoDB is taking on this problem, releasing new persistent…

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Can OpenAI’s GPT Rosalind Tackle Data Challenges in Life Sciences Research?

Is life sciences research still a biology challenge? With the recent advancements in AI, the real bottleneck is data. Vast amounts of biological data exist across literature, experiments, and proprietary datasets, but turning that into actionable hypotheses remains slow, manual, and error-prone.  What’s missing is not more data – we know there is no shortage…

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