The contagion of fear
The contagion of fear Bryan Cantrill responds to the tweet by former Anthropic employee Jacob Coxon confirming that many Anthropic researchers believe AI "could kill us all by the end of the decade". Bryan shares a…
Topic - Edition
Python
What blog posts influenced your thinking the most?
My comment on What blog posts influenced your thinking the most? — Lobste.rs. An early Joel Spolsky one for me was The Law of Leaky Abstractions. I read that near the start of my career and it's encouraged me to always…
Quoting Laurie Voss
The cost of writing code collapsed, and the cost of reviewing, fixing and operating it is following, and I'm assuming it gets there. What's left of making software is finding out what people actually want, defining it…
commit-rewriter 0.1
Release: commit-rewriter 0.1 I built this little web app the other day to help edit the commit messages for the Datasette security releases. The initial commits were full of coding agent cruft and references to issue…
Your Model’s MSE Is Lying to You
First in a series on probabilistic forecasting for physical signals. Next: what happens when you roll the forecast forward more than one step. The post Your Model’s MSE Is Lying to You appeared first on Towards Data…
When to Use One Model and When to Use a Team of Agents
When Codex is the right shape for the problem, when Claude Code is, and how I split 5 specialist agents between them on dense AI capacity work. The post When to Use One Model and When to Use a Team of Agents appeared…
Agentic Engineering in Python: From Vibes to Evidence
Move from vibe coding to agentic engineering in Python, using tests, types, and code review to prove an AI agent's changes are safe to keep.
Graph Engineering for AI Agents: From Prompts and Loops to Workflows
A viral debate over loops versus graphs points to a bigger shift in how we build AI systems. Here’s what graph engineering actually means, how it differs from prompt, context, and loop engineering, and why it matters.…
Quiz: Agentic Engineering in Python: From Vibes to Evidence
Test your understanding of agentic engineering in Python, from bounded tasks and review loops to the evidence that makes a diff safe to keep.
From Static to Dynamic Skills: A Different Model for Agent Knowledge
Why the skill-inflation panic is aimed at the wrong thing, and what it costs to make agent knowledge a build artifact instead of a file. The post From Static to Dynamic Skills: A Different Model for Agent Knowledge…
LernerPython blog, from Reuven Lerner: Python in operator: How __contains__ speeds up membership tests
How does the “in” operator work in Python? – If an object defines __contains__, then its (boolean) result is returned (coerced to bool). – If not, then Python iterates over it with __iter__ Can you find and return a…
Wingware: Wing Python IDE Version 12.0.3 - September 14, 2026
Wing Python IDE version 12.0.3 has been released. This release adds support for Python 3.15, substantially improves source code analysis of modern type hints, and speeds up auto-completion in large Python environments,…
Armin Ronacher: Interpreting Pangram
Yesterday David Sacks wrote a tweet and within a few minutes people did, what they usually do, and they asked Pangram if it was AI. And Pangram said it’s entirely AI generated. To which David replied that these AI…
There are only twelve 4x4 sudokus - and a cool trick for finding minimal subsets