Fragments: Dodgy metrics for AI usage, history of tech removing jobs, benchmarking closed and open models, LLMs multiply existing cruft, AI slop driving us crazy, I am the Global Interpreter Lock for agents
https://t.co/Sv17xpoKkb
I missed this brilliant piece from @unmeshjoshi on the nature of coding and the power of abstractions and vocabulary in the LLM age. https://t.co/FTDK9Gouxn
Fragments:GOTO chat with Kent Beck, using AI to help restructure a gnarly codebase, open-source and security, cognitive endurance, Gen Z future with AI, impact of AI on jobs, fumbling AI regulation
https://t.co/uTZGA5nWyH
NEW §
Birgitta Böckeler finishes her post on sensors for coding agents by examining the role of a test suite as a regression sensor, focusing on the role mutation testing can play.
https://t.co/wpuQEQxLgO
NEW §
Birgitta Böckeler adds exploration of three sensors for static code analysis, with mixed results. Computational sensors alone cannot help us much, AI is needed to add semantic interpretation, and consider trade-offs.
https://t.co/GtZqpRawAs
NEW POST
Birgitta Böckeler begins an article about her experiences with sensors in an agent harness. This first part looks at static analysis with basic code linting.
https://t.co/1setOl8i5d
Fragments: thoughts from a software development retreat, would I be a writer without text editors, use LLMs as functions, don't use LLM skills, is the future of everything lies?
https://t.co/M1V3vOytjR
NEW POST
Will there be source code in the future? To wrestle with this, we have to understand what code is. Unmesh Joshi sees code as having two distinct but intertwined purposes: instructions to a machine and a conceptual model of the problem domain.
https://t.co/GsjgtYysno
@NateSilver538 It's certainly not vibecoding according to its original definition where you "forget that the code even exists". I like to follow @simonw's view here: https://t.co/4rvX9yp7NF
The term lost its precision quickly, but I think it's worth trying to restore it.
@shannah78@WeiZhang595190 I've not had chance to do any more than scan your article. But I did notice you incorrectly attributed it to me. The authors are Wei Zhang (@WeiZhang595190) and Jessie Jie Xia. I am just the publisher.
NEW POST
Thoughtworks internal IT use a workflow for agentic programming called Structured-Prompt-Driven Development (SPDD). @WeiZhang595190 and Jessie Jie Xia describe how this works with a simple example plus details in a github project.
https://t.co/6cHnSPWr6L
The Democratic Establishment is trying to rig a primary in Massachusetts. And they're using AI money to help.
Stand up to this by going to https://t.co/Oejt99byQo and donating to help us reboot democracy.
Fragments: open-source framework for prompting patterns, musician sues google for defamation, apple is thinking differently about AI spending, running LLMs locally, will The Genie be caught in the tar pit?
https://t.co/xMvZYR4Iia
Fragments: updated guide on AI coding, video on harness engineering, how long should a function be, the problems of Software Brain and why AI is unpopular
https://t.co/7jSOtMhEE8
Fragments: 34th Thoughtworks Technology Radar, what happens when developers don't read the LLM's code, DirectFile and tech in large organizations
https://t.co/brBXaa3xOc
NEW POST
Powerful context engineering is becoming a huge part of the developer experience of modern LLM tools. Birgitta Böckeler explains the current state of context configuration features, using Claude Code as an example.
https://t.co/U0MykYsixB