Interesting take by Kenneth Reitz. Not quite sure how I feel about it anymore. It kinda hurts, but I'm not sure if code aesthetics matter as much as the product anymore. I cared when I was the one editing, but at this point I'm not doing a lot of edits by hand. Do these aesthetics affect the final products that users use, Not sure. AI makes me sad.

If agents make prime a bit faster, what does that mean for the rest of us mortals?

I've gotta agree with bob on this one, the first thing I did to my biggest brownfield project I wanted to use agents on BEFORE they did work was a hardened pre-commit.yaml, ci, hardened type checking and linting. SECOND get rid of bad inconsistent patterns, let them replicate consistency, force them to pass checks. Agents will follow all of your markdown suggestions most of the time, enough for you to become complacent if you let it. They are goal seeking, if you put them to a task you thought was possible that is not given your constraints, they will try to find a way given enough tokens. I dont see this ever changing, its one thing that makes them great, it just needs to be kept in check.

behind, yet positioned to completely dominate this race by hitting it with some sense. Making trends in what looks like longevity in the race that is not subsidising to simply get users, but to get by until they figure out how to 100x reduce the cost to a reasonable level. They feel like the guy sitting in the back with nothing big or flashy to say that is going to drop the hammer on their competition that overstretched itself taking on too much debt because it was necessary to change the game. There might be something to having a mix of hipsters, boomers, and luddites all trying to balance each other out.

5 star video, if you are going to watch one video to understand how harnesses and agents work, this is it. This really had my gears spinning on what tools do for agents and how big of a difference they make in their ability to manage context efficiently and accurately create changes. It's crazy how good bash works, and that gives the agents the ability to do just about everything, but it could be better.

One of the biggest scientific achievement of our lifetime happened this week. I will forever remember sitting in a Culvers in between theater builds looking through these photos as they came live, looking at them in awe.

One of the most famous images from the shoot "Setting Earth"

What an amazing set of photos created by the Artemis II crew accompanying a fantastic breakdown by Hank Green.

I like this one, as its probably one of the ones not shred a ton

Whole gallery is worth looking at https://www.nasa.gov/gallery/lunar-flyby/

A really interesting long form interview with @simonwillison.net. If you follow him closely most of it is probably not new, but I found some interesting nuggets.

Simon is writing most of his code from his phone these days using anthropic hosted platform. He mentioned that a lot of security risks go away when you don't put secrets on the platform and you let them take the risk of running ai written code with ai chosen supply chain.

He talked about the Pelican Riding a Bike benchmark for quite awhile. He was surprised at how well of a proxy it is for how capable a model is at just about everything. He also said that when he runs the benchmark he also runs half a dozen others that he's never talked about so that He could see if they were to train a model specific to his benchmark he could catch them, but it seems they had caught on and if they were they seem that they would already be doing it on all of his others anyways.

TDD is incredibly boring for humans, it strips so much creativity and joy from the process. Who cares if agents are bored they do better when doing TDD.

THIS is the future of homelab, excited to see someone who knows so much more about hardware than I do get excited about this.

Is Glasswing the next inflection point