🎙️ The PHP Podcast – Special Episode April 2, 2026 | Guest Hosts: Joe Ferguson & Sara Golemon In this special episode, Joe Ferguson and Sara Golemon step in as guest hosts while Eric recovers from illness and John is busy in Discord. They cover AI tool challenges, PHP Foundation updates, Unicode adventures, infrastructure work, […] The post The PHP Podcast 2026.04.02 appeared first on PHP Architect.
Shifting goal posts and new efforts at redefining the narrative
Read the full post on https://stitcher.io/blog/dependency-hygiene
A 7-step process, explained visually!
I was a guest on Lenny Rachitsky's podcast, in a new episode titled An AI state of the union: We've passed the inflection point, dark factories are coming, and automation timelines. It's available on YouTube, Spotify, and Apple Podcasts. Here are my highlights from our conversation, with relevant links. The November inflection point Software engineers as bellwethers for other information workers Writing code on my phone Responsible vibe coding Dark Factories and StrongDM The bottleneck has…
Gemma 4: Byte for byte, the most capable open models Four new vision-capable Apache 2.0 licensed reasoning LLMs from Google DeepMind, sized at 2B, 4B, 31B, plus a 26B-A4B Mixture-of-Experts. Google emphasize "unprecedented level of intelligence-per-parameter", providing yet more evidence that creating small useful models is one of the hottest areas of research right now. They actually label the two smaller models as E2B and E4B for "Effective" parameter size. The system card explains: The…
Release: llm-gemini 0.30 New models gemini-3.1-flash-lite-preview, gemma-4-26b-a4b-it and gemma-4-31b-it. See my notes on Gemma 4. Tags: gemini, llm, gemma
On March 31, two malicious versions of Axios were briefly published to npm, introducing a dependency that installed a remote access trojan across macOS, Windows, and Linux. We covered the initial attack and its scope earlier, as well as a deeper technical analysis of its hidden blast radius and how dependency resolution expanded its impact exponentially. Now, the project’s lead maintainer has shared additional details about how the compromise occurred. A Targeted Social Engineering Attack # In…
The Node.js project has paused its long-running bug bounty program after the funding behind it was discontinued, removing a key security incentive from one of the most widely used JavaScript runtimes. For nearly a decade, Node.js participated in the Internet Bug Bounty (IBB) program through HackerOne, offering monetary rewards to researchers who responsibly disclosed security issues. That program is now on hold, leaving Node.js without a funded bounty structure for the first time since 2016.…
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
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