Lighning talk! Electric Clojure in 5 minutes — Systems Distributed 2024 https://t.co/NIgm25sAWw #ElectricClojure

Don't forget that the State of Clojure Survey is still open. We need your help! Take a moment to fill it out and spread the word. The information we get is a big help to the whole Clojure community.

I asked Claude to improve the quality of a (small) codebase 200 times in a row. I now have 5.6k tests (60k LOC) for a 4 screen app. Included comes Rust-like Result/Option type, circuit breaking and a buncha other things. https://t.co/D0kS46fMwa

At its peak, AOL was worth $220B on 25M subs — $10K per user because everyone thought it was the internet gateway. Apply that logic to OpenAI and you get a ~$10T valuation. It’s ~1/20th of that today. Helps put the real bubbles in perspective.

TIL

@undebeha @jimduey broadly we frame UI as a fine grained resource management problem, which is a high frequency concurrency problem - during a drag drop or virtual scroll we are updating, allocating and disposing resources at the animation rate (120 hz) and many of the resources are remote. Re

“Most programming languages let you do everything in one place. You can design the architecture, specify the data structures, implement the algorithms, and optimize the performance all in the same file, using the same syntax. This seems convenient. It’s actually how architectural

one of the bigger problems in enterprise AI right now is that because leadership has already told the world that AI is working, the people trying to make it real aren't allowed to admit that they're struggling. and can't go through the trial and error required to learn

*gets up on soap box* With the announcement of this new "code mode" from Anthropic and Cloudflare, I've gotta rant about LLMs, MCP, and tool-calling for a second Let's all remember where this started LLMs were bad at writing JSON So OpenAI asked us to write good JSON schemas

he makes an excellent point (Youtube has a terrible codebase but dominates nonetheless) but he fails to account for the famous Eric Schmidt saying, "revenue solves all known problems". Tech debt only matters when the cost to service the debt outstrips available cash. Kind of the

I'm pretty much converted to Cursor for the following use cases: 1. wrangling Clojure backend tech debt (more understanding it than refactoring it) 2. generating backend demo functions (e.g. jar file wrangling and test data generation – things that can be unit tested) and

finance twitter: major banks to fully integrate cryptocurrency and allow use as lending collateral quantum twitter: Q-day (Y2K for classical encryption) timeline moved forward from 2035 to 2030

Type Checking is a Symptom, Not a Solution

Dear founders I have a simple protocol for how to pitch a VC: **YOU MUST DO THIS BEFORE THE PITCH** > go 2 Home Depot > back right corner > buy a good size 2x4 > drive to VC office >> BEFORE WALKING IN, hit yourself in the head w/2x4 at least six times > now you are ready

Hiring a senior Clojure engineer at CloudAfrica. Full-time, remote. Networking (ISP) experience preferred. Electric Clojure experience is a plus. Our stack is Clojure + Datomic + Electric Clojure + Proxmox + Qemu.

What does it mean to want to be a better programmer in 2025? This is a hard question in 2025 imo, of the three technologies I invested in 15 years ago (React.js, Scala, Clojure/Script), only React.js became dominant. 2025 is the year I think that we FP advocates all collectively

How to use AI to recursively eliminate tech debt, completely autonomously: 1) encode your system as a program DAG (the hard part) 2) have the ability to visualize the DAG 3) give the agent the ability to visualize the DAG 4) tell the agent to look for locally tangled connected

HN user in 2025: “TypeScript is generally a horrific language to use on the backend and especially for performance and even as a compiler. Just ask the TypeScript developers rewriting the TS compiler in Golang with all the problems they encountered using it.”

“The sheer amount of OSS libraries becoming closed and rugpulling is insane and has not been seen in any other ecosystem like go/js/python. If it happened once or twice ok i get it, but Prism,AutoMapper,MediatR, soon MassTransit, this is adding to the stigma”

from r/dotnet: “C# works worse with AI. Models are tuned to JS/Python and even do well with languages like go because unlike C# and its 21323 keywords , its very simple and it's not an abstraction mess like most dotnet projects”