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The two hardest problems in Computer Science are 1. Human communication 2. Getting people in tech to believe that human communication is important
by 
Jamie Tanna
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Did someone post something? It's on mastodon.social. It's literally on booping.synth.download. It's maybe in wetdry.world. It's literally on gts.apicrim.es. You can probably find it on app.wafrn.net. Dude it's on shrimp.starlightnet.work. It's a infosec.exchange original. Check out mas.to for it. You'll find it on hachyderm.io. It's definitely on oomfie.city. Look for it on tech.lgbt. It's over on yeen.town. You can see it on waf.moe. It's been shared on akko.wtf. Go peek at fuzzies.wtf. It's trending on transfem.social. You can catch it on eepy.moe. Browse over to lethallava.land. It's on $INSTANCE$host$. You can read it on $INSTANCE$host$. You can go to $INSTANCE$host$ and like it. Log onto $INSTANCE$host$ right now. Go to $INSTANCE$host$. Dive into $INSTANCE$host$. You can $INSTANCE$host$ it. It's on $INSTANCE$host$. $INSTANCE$host$ has it for you. $INSTANCE$host$ has it for you.
by Jamie Tanna
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Thorsten and Quinn talk about the future of programming and whether code will still be as valuable in the future, how maybe the GitHub contribution graph is already worthless, how LLMs can free us from the tyranny of input boxes, and how conversations with an agent might be a better record of how a code change came to be than git commit tools. They also share where it works and simply doesn't work.
by Jamie Tanna
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Quinn and Thorsten start by sharing how reviews are still very much needed when using AI to code and how it changes the overall flow you're in when coding with an agent. They also talk about a very important question they face: how important is code search, in its current form, in the age of AI agents?
by Jamie Tanna
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Thorsten and Quinn talk about how different agentic programming is from normal programming and how the mindset has to adapt to it. One thing they discuss is that having a higher-level architectural understanding is still very important, so that the agent can fill in the blanks. They also talk about how, surprisingly, the models are really, really good when they have inputs that a human would normally get. Most importantly, they share the realization that subscription-based pricing might make bad agentic products.
by Jamie Tanna
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In the first episode of Raising an Agent, Quinn and Thorsten kick things off by sharing a lot of wow-moments they experienced after getting the agent at the heart of Amp into a working state. They talk about how little is actually needed to create an agent and how magical the results are when you give a model the right tools, unlimited tokens, and feedback. That might be the biggest surprise: how many previous assumptions feel outdated when you see an agent explore a codebase on its own.
by Jamie Tanna
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The crew gets philosophical about the ethics of building Artificial Intelligence systems. Are software engineers going to be replaced? Is it ethical to build AI systems?LinksSuperintelligenceBlog: Less WrongZizian cultThinking in SystemsDwarkesh Patel podChatGPT Medical Diagnosis StudyMCP Server Claude Desktop TutorialMCP PodcastOvercommitted on BlueskyHostsOvercommitted.devBrittany Ellich: https://brittanyellich.comEggyhead: https://github.com/eggyheadJonathan Tamsut: https://jtamsut.substack.com
by Jamie Tanna
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