The latest generation of large language models is reshaping how developers and businesses interact with software. GPT-5 brings sharper reasoning, longer context windows, and far better tool use out of the box.
For teams, the practical win is automation that actually holds up in production: drafting code, summarising research, and triaging support tickets with fewer hallucinations than previous models.
In this piece we break down what changed, where it still falls short, and how to integrate it responsibly into your stack.
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