🦸 Community Superhero
Our community superhero this week is Maximilian Roos, creator of worktrunk, a CLI for Git worktree management so you can run agents in parallel. It’s a great idea that has enabled thousands of developers to move faster with AI. This is the kind of ingenuity that propels us forward in 2026. Thank you for everything you do, Max!
💯 Spotlight
Shout out to Darryl Ruggles. He has been publishing incredibly high-quality content detailing real-world builds with the latest features in AWS. Last week was no exception, and he actually published two articles! The first is on using SAM WebSockets and Lambda Durable Functions to build a canary deployment pipeline (extremely cool and pragmatic). The second is a full-on working app of an IoT factory pipeline with an AI agent. This one is packed with detail and shows you exactly what to do to build it yourself. Keep up this great work, Darryl!
🔥 My Favorite Content
We don’t see a lot of Lambda custom runtime posts anymore. AWS generally does a good job at providing runtimes in many different languages and keeping them on the latest LTS versions. But one runtime that’s missing from official support is Bun. This JS framework had a ton of hype when it was initially released with its native TypeScript support, integrated WebSockets, and blazing-fast speed. Ivan Barlog took it upon himself to create a runtime flavor of Bun that he feels aligns well with the AWS serverless ecosystem. His article is not so much focused on how he did it, but on the features it provides as a purpose-built runtime for Lambda. Pretty cool!
I think most of us have tried out Claude Code by now. It’s a wonderful tool that really stands in a league of its own. But a tool is only as good as the hands that wield it, and there’s lots of ways to wield it poorly. I really got into Michael Walmsley’s post last week about layered context in Claude Code, where he goes into structuring your Claude.md files at the global, project, and component level, along with how to not burn tokens drowning it with all this context. Great read.
Engin Diri has a sharp read on how building AI agents has changed. He goes through the (short) history of what our industry has come from with agents and talks about how SDKs are getting better and better and raising the floor for starting off. I’m genuinely impressed at the quality of this piece and how in-tune Engin is with the agent ecosystem.
Mythos Preview from Anthropic has taken the tech world by storm. This AI model is a general-purpose LLM that’s particularly good at coding, including hacking. As a result, Anthropic isn’t releasing it publicly, but making it available in Project Glasswing to help major tech vendors to defensive security work in their code. Last week, Grant Bourzikas from Cloudflare shared his thoughts on the subject after having used it to analyze 50 of their repositories. The article isn’t about what Mythos found, but rather how it’s changing security scanning and what Cloudflare uses for their vulnerability harness. Really interesting read.
💡 Tip of the Week
If you didn’t see the announcement, Luc van Donkersgoed added up and down voting to AWS News recently. Now you can go and vote for your favorite announcements and potentially influence the top articles that get shared in his daily digest email. Very cool idea!
Last Words
I’m curious, is social media feeling the same to you recently? I’ve found it to be a source of AI-generated posts and am becoming a little disenchanted with it. Is there a social network you’re using that still feels human?
That’s my take on the week, but what’s yours?
What did I miss? What made you nod along (or 🙄)? Hit reply if you’re reading the email. Prefer socials? Ping me on Twitter, LinkedIn, or email.
Happy coding!
Allen