This is such a great direction airbyte is taking and congrats to the lunch! I think you're very well-positioned for this opportunity than most people realize, given your reputable brand and your uncanny expertise in etl. It's honestly a natural progression of airbyte as far as the current AI landscape goes. Kudos to you and the team!
(We use airbyte at my company, although we self-host it.)
There's still going to be some craftsmanship tho, right? I think software is evolving to be like a factory. Sure, you may not care much about each part of the factory, but the way these parts fit together to produce the desired value/output is still craft IMO. I have personally started enjoying this part and it's actually becoming pretty fun.
Haha this is surprisingly and exactly how I use claude as well. Quite fascinating that we independently discovered the same workflow.
I maintain two directories: "docs/proposals" (for the research md files) and "docs/plans" (for the planning md files). For complex research files, I typically break them down into multiple planning md files so claude can implement one at a time.
A small difference in my workflow is that I use subagents during implementation to avoid context from filling up quickly.
I like this take. In other words, AI is another abstraction layer. The same way Java is an abstraction layer for C/Assembly/binary (i.e. pick whatever base layer you want). This also implies that the software development industry has to change inevitably. For example, maybe craftsmanship is a mentality of the past.
Great post indeed! I totally agree that embeddings are underrated. I feel like the "information retrieval/discovery" world is stuck using spears (i.e., term/keyword-based discovery) instead of embracing the modern tools (i.e., semantic-based discovery).
The other day I found myself trying to figure out some common themes across a bunch of comments I was looking at. I felt lazy to go through all of them so I turned my attention to the "Sentence Transformers" lib. I converted each comment into a vector embedding, applied k-means clustering on these embeddings, then gave each cluster to ChatGPT to summarize the corresponding comments. I have to admit, it was fun doing this and saved me lots of time!
I am loving this idea already. My Twitter timeline is a clusterfuck of political contents, which is exhausting. All I want is to indulge myself in entertaining posts and nothing more. I use Twitter as a way to relax and let my mind breathe. So this is wonderful to see!
Any plans to support Firebox on Android? I heavily use Twitter on my phone so would be sweet to install the extension on my phone.
I don't think using the verbatim git history as a change log is a good idea.
But if you insist on using the git history for change log, why not use an LLM? You could feed git history to chatgpt and get a nice user-friendly change log.
I bet a lot of commenters here don't understand the extent to which this ruling will apply.
The ruling affects cases where statutes do not explicitly grant interpretive authority to the enforcing agency. When a statute clearly delegates interpretive authority to the enforcing agency, the agency's interpretations will definitely prevail in the courts.
So this ruling is not as terrible as most comments think. If anything, it's very rational. If a law explicitly applies to X, you don't want the executive branch applying it to Y and Z. That's how you create a rogue executive branch (even though you may be well intentioned).
Hello. I am a Full Stack Software Engineer with over six years of experience working with startups in the Bay Area and some big tech companies. I had taken the last couple of years “off” to give entrepreneurship a chance, but now I am looking for new opportunities to resume my software development career. I am very comfortable working across the stack and can learn pretty fast.
> you could be intellectually stuck right at this very moment, with the evidence right in front of your face and you just can’t see it.