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Low cost carriers are almost an entirely different industry than traditional airlines. For example, Frontier has a loyalty program as well as their "Go Wild" pass which is essentially "Movie Pass" for flying domestically in the US, but that operates as a loss leader for ancillaries, where they make most of their money (around $70 per passenger). As others have mentioned, RyanAir also has a loyalty program that they lose money on.

Traditional airlines are very much like Starbucks nowadays in that they are essentially banks, but low cost carriers are closer to movie theaters where they essentially make nothing selling the actual seat so the more people they get in the door, the more they can make on ancillaries.


At the end of the day it's all different levels of abstractions and whether or not you're using the abstraction correctly. With k8s, the best practices are mostly set in a lot of use cases. For LLMs, we still have no idea what the best practices are.


I usually have a tube of anchovy paste in the fridge for whenever I make Caesar salad, but in the rare times that I don't I just use fish sauce in the dressing instead and it works surprisingly well.


Ditto. I've mostly stopped using anchovies for everyday Caesars. The fish sauce trick is just too easy and tastes great.


You will want to search for IPTV services. It's a bit of a wild west out there but I'd recommend finding one that has a Discord. Most will offer a free trial for 24 hours or a week for you to try them out.


The NBA is similarly annoying. It's $110 for the season to watch all non-blacked out games. As a Knicks fan, it was great when I was living in Philly because I could watch all Knicks games unless they were nationally broadcast or if they were playing the Sixers. Now that I live in NJ I'm technically in the NY broadcast region. The only way for me to watch local games legally is to have MSG through a cable provider or pay for Gotham Sports Plus which is $35/month.


I don't know if we're all 10x'ing but our entire org is shipping PRs using an in-house framework akin to Stripe's Minions [1] and many of those PRs are generated from Slack. We definitely have work to do on the latter part of the SDLC to have more confidence in these changes but we can still rely on the existing observability layer to make sure things are working as expected.

Another commenter mentioned that Docker, git, etc. were all tools that greatly enhanced productivity and coding agents are just another tool that does that. I would agree, but argue that it's more impactful than all of those tools combined.

[1] https://stripe.dev/blog/minions-stripes-one-shot-end-to-end-...


Same here. I do well in existing codebases because I can follow patterns and adapt to existing limitations but starting a new project is always so daunting to me. Writing a spec and iterating on it is so much more natural than writing code in a new project for me.


This is essentially just setting up an MCP connection to your kanban provider and instructing the agent to plan out an epic. I did this this morning for some data modeling our team needed to do. For the most part it generated a good set of tickets, but there were some hallucinations due to ambiguity. Reviewing the already written out tickets was much better than writing them out myself.

But the standard that will hopefully take over in most mature shops is spec driven development where instead of a team reviewing code, they review a spec which is used to generate tasks and subsequently code to satisfy the spec. Then 2 kanban boards exist. One for writing and submitting specs and another for the agents themselves to implement the approved specs.


These chips are large by fab standards and even with state of the art processes we likely won't see any kind of integration on consumer tech any time soon, but I imagine they will absolutely see instant demand if they can deliver on what they laid out in the post.


> From my own experience, models are at the tipping point for being useful at prototypes in software

You must not have much experience using the new frontier models then. A lot of large tech companies are replacing their SDLC with agentic workflows. The tooling and frameworks are still ramping up, but the models have no problem producing production ready software given proper specifications.


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