mafro
Code almost never speaks to the WHY; ADRs will help there.
Code never captures requirements, but it does reflect actual system behaviour, which is a specification.
Recently, I've completely ditched the specification part. I found they just weren't useful over the longer term. I used an LLM to assess in both directions whether the code matched the specs and whether the specs matched the code. On both software projects this came out with huge divergence from spec to code.
Basically the old theory is true - the code IS the specification.
What I did find very useful and have retained is the process flow. Create a proposal, review the proposal, implement, review the code. Also useful was building and maintaining ADRs and invariant logs for where a unit test cannot be made to verify behaviour. The process and the ADRs, unit test, invariant log all help the software stay coherent as the LLM churns on it over many unconnected contexts.
AI will only help if you use rapid iteration to cheaply/quickly produce ideas. All the normal project failure modes still exist.. Blaming AI because AI is dumb.
I only read up to point 3 because the hyperbole and frothing fervour was overwhelming.
How Coding Agents Work: Inside OpenCode
Agents 2.0: From Shallow Loops to Deep Agents
I'm sure you are aware that:
- Most open source projects on the Internet are on Github. One could argue Github itself has taken a significant role in the growth of OSS in the last decade
- Using Discord is totally du jour for open source communities in 2025
- Reddit is still the biggest discussion forum on the Internet. Including discussion about open source
Self-driving cars are not going to create generational wealth through invention like microprocessors did.
Snapcast – Synchronous multi-room audio player
Monodraw
From the system card:
"In the near future, we plan to integrate these capabilities into a single model."
How many people are going to understand (or remember) the difference between:
GPT-4o GPT-4.1 o3 o4 ....
Anthropic and Google have a much better named product for the market
Laptops, millions of dollars: US woman jailed over North Korea remote-work scam
Bloom: Refined Finder Experience for macOS
Telephone colophon: Or, how I overengineered my call audio
Bloom: Refined Finder Experience for macOS
Vibe coding turns Swedish AI unicorn into fastest growing software startup
Debian to release Trixie on August 9th
Big Tech is crushing middle managers
And regarding the HN post getting buried for a while there...[1] Somewhat ironic that an article about using AI to help write code would get canned for using an AI to help write it :D
30 years ago, Apple fans met the Mac clone. This is the weird, wild story
Any suggestion on where to start with point 1? (Also a SWE).