I never thought I'd see an AI agent say this:
"Let me try a robust approach: using perl with a simple literal-safe replacement pattern."
Made my day. #perl#ai#quotes#programming#TIMTOWTDI
Introducing the Monastery for AI-native founders.
A single builder can now outperform a publicly traded company.
$2 million. 12 weeks. Do the impossible.
Every morning I start by glancing at Hanka’s screen. Read a few words. Think. Write down or talk through how these words resonate in me. Try it: https://t.co/eefXGLh35K
#morning#reflect#mindfulness#focus#meditation
@jack What about Conway’s law? It suggests that a solution is a product of the structure, not the other way around? Or do you suggest it no longer holds? Why?
Just shipped Gridka — a native #macOS#CSV viewer built on @duckdb 🦆
No Electron. No imports. Just drop a file & query it.
→ Fast load on large files
→ SQL queries directly on your data
→ CSV, TSV, and any delimited format
https://t.co/iycZYtFl0c
https://t.co/mYsIPQ3Cbc
i just hired an ai cmo from @askokara to help grow ipap consulting (https://t.co/NIEYVjAxxU)
so far it has:
• identified reddit opportunities
• discovered seo issues
• analyzed competitors
• found geo issues
• wrote this tweet
curious to see how far this goes…
Critical points are in the last paragraph: all this joy requires a mind that’s capable to direct and orchestrate these newly found powers. Without one this is all but a gimmick, as still seen by so many…
It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.
Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes.
As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.
It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.
@sitkarev Зависит от задач. Но, в целом, да — Опус гут, остальное так себе. Ну и в свежем контексте лучше. Хотя OpenCode по красоте сжимает, лучше штатного CC
I saw the @a16z reading list a while ago, remarking that all of my favs’re there. It is amazing to see @nealstephenson’s reacting to it: https://t.co/b2Et1ip8ar
I’ve to say that notion of Neal’s books finishing somewhat abruptly has been around always… & doesn’t make ‘em bad 🤔
Amazing to see an #AI startup in 2025 discovering #BPMN, #BPL that banks and manufacturing companies have been using for the past 20 years… @Camunda — beware!
Sometimes I wish there were a way for claiming back tokens Claude & other coding agents sink down into a rabbit hole of wrong “let me do it the easier way” turn… Then I remind myself, that Jr Dev wd do the same. Then I remind myself that Jr will learn, while this… not sure #ai