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This post is a thinly veiled marketing promo. Here's why.

Skip to the summary section titled "Fast feedback is the only feedback" and its first assertion:

  ... the only thing that really matters is fast, tight
  feedback loops at every stage of development and operations.
This is industry dogma generally considered "best practice" and sets up the subsequent straw man:

  AI thrives on speed—it'll outrun you every time.
False.

"AI thrives" on many things, but "speed" is not one of them. Note the false consequence ("it'll outrun you every time") used to set up the the epitome of vacuous sales pitch drivel:

  To succeed, you need tools that move at the speed of AI as well.
I hope there's a way I can possibly "move at the speed of AI"...

  Honeycomb's entire modus operandi is predicated on fast
  feedback loops, collaborative knowledge sharing, and
  treating everything as an experiment. We’re built for the
  future that’s here today, on a platform that allows us to
  be the best tool for tomorrow.
This is as subtle as a sledgehammer to the forehead.

What's even funnier is the lame attempt to appear objective after all of this:

  I’m also not really in the business of making predictions.
Really? Did the author read anything they wrote before this point?


Is it even attempting to be veiled at all? You know you’re reading a company’s blog post, written about a feature the company is building for their product, right? It is explicitly marketing.


> Is it even attempting to be veiled at all?

I do believe the veil is at best "thin." Perhaps I was being too generous given the post starts with:

  New abstractions and techniques for software development 
  and deployment gain traction, those abstractions make 
  software more accessible by hiding complexity, and that 
  complexity requires new ways to monitor and measure what’s 
  happening. We build tools like dashboards, adaptive 
  alerting, and dynamic sampling. All of these help us 
  compress the sheer amount of stuff happening into something 
  that’s comprehensible to our human intelligence.
  
  In AI, I see the death of this paradigm. It’s already real, 
  it’s already here, and it’s going to fundamentally change 
  the way we approach systems design and operation in the 
  future.
Maybe I should have detected the utterly condescending phrase, "something that’s comprehensible to our human intelligence."




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