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A while back, I refactored REDbot to separate out a HTTP message linting library. httplint checks about 325 aspects of HTTP messages, covering the syntax and semantics of almost 200 HTTP header fields.
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As one of the authors of the Well-Known URI specification and current Designated Expert for the registry, I field a lot of questions about how they should be used, and end up coaching a lot of folks on how to best use them.
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A couple of weeks ago, I made a straw-man proposal for a new Web feed autodiscovery mechanism.
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For much of the history of computing, it was reasonably safe to assume that a machine was doing what you told it to do (and what its creators promised it would do), because its operations were local.
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I’ve previously looked at using AI as a tool to evaluate technical standards efforts – basically, asking commercially available chatbots what they think.