We have multiple hundreds of resources allocated for each build and do hundreds of builds a day. The current cluster has been doing this for a couple of years now.
388 karma · joined June 11, 2021
We have multiple hundreds of resources allocated for each build and do hundreds of builds a day. The current cluster has been doing this for a couple of years now.
One of the things that bugs me about AI-first software development is it seems to have swung the pendulum of "software engineering is riddled with terrible documentation" to "software engineering is riddled with overly verbose, borderline prolix, documentation" and I've found that to be true of blog and reddit posts about using claude code. Examples:
https://www.reddit.com/r/ClaudeAI/comments/1oivjvm/claude_co...
and
https://leehanchung.github.io/blogs/2025/10/26/claude-skills...
These are thoughtful posts, they just are too damn long and I suspect that's _because_ of AI. And I say this as someone who is hungry to learn as much as I can about these Claude code patterns. There is something weirdly inhumane about the way these walls of text posts or READMEs just pummel you with documentation.
Something as simple as correlating a git SHA to a CI build takes 10s of seconds and some number of tokens if Claude is utilizing skills (making API calls to the CI server and GitHub itself). If you have an MCP server that Claude feeds a SHA into and gets back a bespoke, organized payload that adds relevant context to its decision making process (such as a unified view of CI, diffs, et. al), then MCP is a win.
MCP shines as a bespoke context engine and fails as a thin API translation layer, basically. And the beauty/elegance is you can use AI to build these context engines.
Kustomize also seems like hell when a deployment reaches a certain level of complexity.
Right now there is an efficiency/hardware moat. That's why the Stargate in Abilene and corresponding build outs in Louisiana and elsewhere are some of the most intense capex projects from the private sector ever. Hardware and electric production is the name of the game right now. This Odd Lots podcast is really fresh and relevant to this conversation: https://www.youtube.com/watch?v=xsqn2XJDcwM
Local models, local agents, local everything and the commodification of LLMs, at least for software eng is inevitable IMO, but there is a lot of tooling that hasn't yet been built for that commodified experience yet. For companies rapidly looking to pivot to AI force multiplication, the superscalers are the answer for now. I think it's a highly inefficient approach for technical orgs, but time will create efficiency. For your joe on the street feeding data into an LLM, then I don't think any of those orgs (think your local city hall, or state DMV) are going to run local models. So there is a captured market to some degree for the the current superscalars.
The fear of an AI bubble isn't that AI companies will fail, it's that a downturn in the AI "bubble" will lay bare the underlying bear market that their growth is occluding. What happens then? Nobody knows. Probably nothing good. Personally I think much of the stock market growth in the last few years that seems disconnected with previous trends (see parallel growth betwen gold and equities) is based on retail volume and unorthodox retail patterns (Robinhood, WSB, et. al) that I think conventional historical market analysis is completely unprepared for. At this point everything may go to the moon forever, or it may collapse completely. Either way, we live in a time of little precedence.
Arko is not a completely innocent, non-self-interested character here. He has announced a project to end-run the existing rubygems, bundler, etc infrastructure before all this, in the name of "better tooling", but his tooling is solely owned by him and a handful of people that really, really don't like DHH. Controlling this aspect of the ruby toolchain ecosystem is in their own self-interest and overlaps with their deep disdain for the politics and corporate nature of the existing stewards of the ruby toolchain ecosystem. Maybe their approach and stewardship of this fork of the toolchain is more just, secure and equitable, but make no mistake -- they are fighting the same war that DHH and Shopify are, which is who controls the keys to the toolchain. Do you think if Arko, Perham, et. al. had control they would somehow be completely neutral, apolitical stewards of the ecosystem? No! They have made it clear with their money and machinations that they do not want to operate in the same ecosystem as DHH and their politics and ethics are intertwined with their relationship to the ruby community. They are no different than him.
Meanwhile those of us who just want stability are stuck between two factions who claim righteousness and ownership. I wish they all could be deposed and some more mature non-individual foundation could take over.
FB knows me and what I like and they have enough of data on my searches that they could customize a pretty relevant audio ad that, now with LLMs, can feel really relevant and natural, especially with audio gen being so good.
My point though is I wasn't sure if it was LLM generated or not and that's stuck with me. Random ChatGPT copy-pasta is easy for me to pick out – most people do not write that well. But a sophisticated application of this tech probably approaches the it-could-go-either-way territory.
Developing and injecting genetic resiliency into existing populations isn't the worst thing in the world. Additionally adding animals that can only reproduce sterile offspring would be an amazing tool for dealing with invasives. That kind of practical work very easily follows from this R&D.
It's the kind of thing git worktrees was made for.
I'm keen to this because I maintain our CI systems and have become acutely aware of the overhead of hallucinations breaking our CI tooling in pathological ways that draw me in to diagnose. A year ago I would have to log into our CI Kubernetes cluster to diagnose a busted build that doesn't self-report failure maybe... once a month. These days it's a couple times a week. LLM based dev is both amazing in the legit force multiplier it adds to writing code as well as the way it introduces some of the most incoherent and silly ways it breaks existing conventions.
I guess the headline is correct in that we are not hired to write code anymore, instead we are hired to shepherd code now, and a lot of it. And a lot of this code we shepherd is good enough but some amount of it is bad enough to break existing processes, but that is secondary to the volume and velocity we perceive from LLM code gen.
I live half a mile from the Maine coast and when I look around I don’t see any old money in my neighborhood. If you are talking about literally a house overlooking the ocean, that’s always been prized real estate.
Maine is changing and every year more land is posted but in the inland areas people still look down on those who post. I can’t imagine the institutional and corporate owned tracts ever being posted. I hunt on some land trust land which requires some perfunctory, automated permissions. I spend a lot of time in western Maine and the North Maine Woods and they are truly my favorite places.
I understand for people like the parent who come from the west where they have BLM lands and all the attendant freedoms looking down on all that private land in the northeast and as someone who lives in Maine, that’s perfectly fine with me as I know what it’s really like here.
The two parks border each other in areas and share some waterways.
Were you aware of YC before attending Lambda (ie, did the association lend credibility to Lambda) or did you find YC after attending?
Fortunately in my almost 20 years of ruby, dark magic does not survive a reasonable amount of sunlight. Most of the time someone (including me) has written impolite ruby, they know what they are doing and why (laziness 90% of the time) and respond appropriately to a gentle prod to be more polite.