Software role changes tell us something about the goals in LLM deployment.
The LLM Curve of Impact on Software Engineers
In this article, I share my personal mental model of how LLMs affect software engineers at different levels, and why this leads to both excitement and scepticism.
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities (Version 1.0)
LLM Policies: Progress At All Costs
GNOME and KDE have started to consider LLM policies, and we should talk about what this is really about. KDE caught everyone's attention first by...
Brandon Stewart on Twitter / X
1/ New @Nature! We study how powerful institutions shape the information environment for LLMs. Commercial LLM training is opaque, so we trace a path from state-coordinated media -> training data -> model responses. pic.twitter.com/5LdFvzbFaf— Brandon Stewart (@b_m_stewart) May 13, 2026
The most important thing when working with LLMs
Blog post: The most important thing when working with LLMs by Steve Klabnik
open-slopware
Free/Open Source Software choosing to use and/or support LLM usage/AI, as well as alternatives and tips to requesting better policies or forking.
truefoundry/trueforge
The open-source agent harness - the runtime layer that turns an LLM into a working agent.
There continue to be reasons for software to be slow
A discussion on the various reasons why performance is slow, and which ones are unlikely to be affected by LLMs. Originally written as a counter-point to Dan Luu
2025: The year in LLMs
This is the third in my annual series reviewing everything that happened in the LLM space over the past 12 months. For previous years see Stuff we figured out about …
himanshu on Twitter / X
and here is the full architecture of the LLM Knowledge Base system covering every stage from ingest to future explorations. https://t.co/Wmn48gB0g0 pic.twitter.com/ObJet8Esfu— himanshu (@himanshustwts) April 2, 2026
The two worlds of programming: why developers who make the same observations about LLMs come to opposite conclusions
Writing at the end of the world, from Hveragerði, Iceland
State of AI 2025: 100T Token LLM Usage Study | OpenRouter
Read OpenRouter's 2025 State of AI report — an empirical 100 trillion token study of real LLM usage, model trends, and developer insights.
crawshaw - 2026-02-08
I wrote up my experiences programming with LLMs a bit over a year ago, and updated it for the world of agents eight months ago. A lot has changed since then, so here is an update.
