AI #162: Visions of Mythos
Anthropic had some problem with leaks this week.
Anthropic had some problem with leaks this week.
This is the third article in a series on agentic engineering and AI-driven development. Read part one here, part two here, and look for the next article on April 15 on O’Reilly Radar. The toolkit pattern is a way of documenting your project’s configuration so that any AI can generate working inputs from a plain-English description. […]
Martin Fowler explores why AI coding sessions degrade over time and how externalizing decisions into structured documents keeps context reliable across sessions. Read more
I just sent the March edition of my sponsors-only monthly newsletter. If you are a sponsor (or if you start a sponsorship now) you can access it here. In this month's newsletter: More agentic engineering patterns Streaming experts with MoE models on a Mac Model releases in March Vibe porting Supply chain attacks against PyPI and NPM Stuff I shipped What I'm using, March 2026 edition And a couple of museums Here's a copy of the February newsletter as a preview of what you'll get. Pay $10/month…
Release: datasette-llm 0.1a6 The same model ID no longer needs to be repeated in both the default model and allowed models lists - setting it as a default model automatically adds it to the allowed models list. #6 Improved documentation for Python API usage. Tags: llm, datasette
Release: datasette-enrichments-llm 0.2a1 The actor who triggers an enrichment is now passed to the llm.mode(... actor=actor) method. #3 Tags: enrichments, llm, datasette
The principles and workflows that separate developers who use AI from developers who ship with it.
Yesterday, we reported on a supply chain attack targeting Axios that introduced a malicious dependency (plain-crypto-js) into specific npm releases. At first glance, the scope seemed contained: Two compromised Axios versions A short exposure window A malicious dependency that was quickly removed Over the past 24 hours, we’re seeing many teams focus on checking their lockfiles and node_modules directories, but that only captures part of the picture, especially when tools are executed dynamically…
Things will get wild, but probably not immediately
Anthropic has revised its Responsible Scaling Policy to v3.
The Laravel blog walks through how to implement the five multi-agent patterns from Anthropic's "Building Effective Agents" research using the Laravel AI SDK. Prompt chaining, parallelization, routing, orchestrator-workers, and evaluator-optimizer loops, all built with just the agent() helper. Read more
The following article originally appeared on Medium and is being republished here with the author’s permission. Ask 10 developers which LLM they’d recommend and you’ll get 10 different answers—and almost none of them are based on objective comparison. What you’ll get instead is a reflection of the models they happen to have access to, the […]
Vercel shares their internal framework for shipping agent-generated code safely. The core argument: green CI is no longer proof of safety, because agents produce code that looks flawless while remaining blind to production realities. The post outlines how to build systems where agents can act with high autonomy because deployment is safe by default. Read more
Are you a student looking to gain hands-on experience, grow your network, and take part in an international tech event? 🎤 SymfonyLive Berlin 2026 is looking for motivated student volunteers to join the adventure! 📍Where: Berlin, Germany, at The…
Release: datasette-extract 0.3a0 This plugin now uses datasette-llm to configure and manage models. This means it's possible to specify which models should be made available for enrichments, using the new enrichments purpose. Tags: llm, datasette
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