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Seroter Daily Reading List – October 22, 2026 (#894): Today’s links look at how to use AI to become a more effective engineering leader, what the new Gemini API CLI can do, and a new micro-VM option in Google Cloud.
seroter.com/2026/10/22/daily…
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Effective Immediately, all organizations using PHP for their systems are advised to be prepared for an update addressing two critical vulnerabilities. PHP is widely used for web applications. These vulnerabilities often provide a direct path to the server's file system or database. If an immediate update is not feasible, it is recommend that organizations take the system offline until it can be fully mitigated. NSA will follow up shortly with more specific guidance.
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We have presents for you! 🎁
- A new WebMCP Skill with best practices for security, development, & consequential flows
- WebMCP Types: TypeScript definitions, with type inference from InputSchema
Give em to your agent, it helps scaffold out WebMCP so fresh and so clean clean
ALT A sheet that talks about three tools for webmcp: the extension, webmcp types, and webmcp-skills
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The best time to install @antigravity was six months ago. Second best time is today.
The team shipped a lot of improvements lately, including the ability to construct custom UIs in chat, full-screen media viewer, zip import, and many great UI touches.
antigravity.google/docs/chan…
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The moment you've been waiting 4…
Our new frontier model, Gemini 4 Argon, is rolling out now in the Gemini app to bring your most complex ideas into reality.
See how Gemini 4 Argon and our latest updates across the Gemini app help you get the most out of every prompt. 🧵
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You can now SSH into Cloud Run!
docs.cloud.google.com/run/do…
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Introducing EmbeddingGemma 2, a new open multimodal model that sets the standard for on-device efficiency.
- our first open, natively multimodal embedding model
- handles text, code, image, video, and audio tasks within a lightweight, modular 740M parameter form factor
- ideal for offline, privacy-first RAG when paired with Gemma 4
- outperforms some specialist models more than twice its size
Weights available now on Hugging Face.
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We have a Stitch MCP. We have a Stitch SDK. But, we don't have a Stitch CLI. Well, not until now.
Introducing the @google/stitch CLI:
🔷 Connect to your local coding agents
🔷 Generate screens and design systems
🔷 Send a local dev server snapshot to Stitch
Do it all without leaving the terminal or better yet, ask your favorite harness like @antigravity 😎
Learn more 👇
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Spanner Omni is now generally available!
The deploy-anywhere version of Spanner is here—ready to power your most demanding production workloads in your private data centers, in a multi-cloud deployment, or even for testing locally on a laptop → goo.gle/3VEej2H
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Sooner rather than later, I will be able to sync old Texas well files, production data, logs and other engineering from the RRC to a leased seismic line. In conjunction with synthetic data I think it will do very well for prospect generation and active lease optimization.
For instance, over a larger water flood this can have quite a fun effect on fluid migration, mechanical vs reservoir failure and more.
Add millions of pages of well test data ocr'd for searchable indexing. The idea is to allow for a llm or agent to easily search and find data when doing work. Prospect generation involving old fields is becoming quite fun now that I do not have to spend 40+ hours just to find specific well files. Well Records, Production Records, well tests, proration, and more now can be called up by myself or an agent.
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🥳 Google is donating Agent Substrate to CNCF, and our submissions is accepted today! This effort has now the full potential to become the underlying compute runtime layer for all agentic systems. github.com/cncf/sandbox/issu…
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TextSpace is an independent, word processor implemented in C#, @UnoPlatform , @SkiaSharp, and HarfBuzz. Its ribbon, editing surface, navigation panes, review tools and file workflows are assembled from reusable libraries. wieslawsoltes.github.io/Text…
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Today we announce our new unified multi-agent framework that provides creators with a system for generating temporally consistent, long-form video narratives while mitigating visual drift and pipeline error propagation. Learn more: goo.gle/4yVih5m
ALT AI video co-director multi-agent pipeline. Top: The Orchestrator Agent utilizes MAB to navigate a factored creative action space. Bottom: The Pre-Production Agent synthesizes a creative brief, storyline, and visual assets to establish a consistent storyboard, which the Production Agent translates into synchronized keyframes, video clips, and audio. An MLLM Judge evaluates the final video to generate a factored reward signal which is propagated back to the MAB to iteratively refine the creative configuration over optimization loops.
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Your agents are taking down your database.
A multi-agent swarm querying in bursts can overwhelm your best defenses. @andigutmans and team solved this with a pretty wicked agentic database architecture in @googlecloud AlloyDB.
cloud.google.com/blog/produc…
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18 two-word AI prompts I'm kind of obsessed with:
1) now what - great for when you've wrapped up a project or big push and you still have energy and want AI to give you more
2) plz fix - usually accompanied with a screenshot flagging an issue or error or a DM with a bug report
3) do this - usually accompanied with a photo or a screenshot, if I see a great tweet that I want to implement, i'll just screenshot it and toss it to codex/claude
4) interview me - I'm a context hunter, and I want AI to keep pulling more context out of me that I didn't think to first give it, very helpful for tailoring responses or solutions
5) keep going! - I don't know, guys. I just find myself motivating my AI agents a lot more these days. Other versions of this include 'have fun' and 'I trust you'
6) elii elie - this is my shorthand for "explain it to me like I'm an intern" and "explain it to me like I'm an executive" and it's really helpful to get quick reframes if I'm stuck
7) first principles? - sometimes I read an answer and think 'hmmm that's factually right, but it lacks heart and no one will care' and it's usually because the problem-solving wasn't upstream enough, this prompt helps reset that and reset assumptions
8) simulate it - love when AI runs scenarios, plans for edge cases, and visualizes it all into a dynamic interface for me, this is one of my favorites
9) challenge me - or 'challenge this', used when I desperately need a sparring partner and not a sycophantic kiss-ass :) helps to get a new perspective
10) da fuq? - Fable 5 took a different English class than I did because sometimes that model gives me five paragraphs of hyperdense phd-level info and I'm more lost than when we started
11) find leverage - show me the small moves that create disproportionate outcomes because I don’t always have time to optimize the 37 tiny things
12) hey simon - he's my AI chief of staff, and when I talk directly to him, he can route to and coordinate with the other 33 agents, this is the ultimate 'summoner'
13) spawn agents - any time I'm dealing with massive quantity (like tons of tasks or a lengthy spreadsheet or something), I aim for parallelization. dynamic workflows in claude is another great option
14) automate this - many times, after a long conversation with AI, I realize that I will need to do that task a whole lot more. So I type something like 'automate this' or 'codify this' or 'schedule this' so it can become a repeatable pattern
15) remember this - any time I flag a mistake or critical context, I'm forcing the AI to log it into memory. It often does it automatically, but not always!
16) forecast impact - asks AI to play out the downstream consequences (including legal, PR, economic, political, team) of whatever I'm asking
17) show receipts - I want to see solid sources, evidence, reasoning, so I can quickly call out issues (bad sources is a 'fail', and great sources are not an immediate 'pass')
18) girl bye - when AI loses its mind, and I need to get the heck out of there and start a new thread
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🥳 This week we announced Agent Substrate. It's the compute runtime (that can work on Kubernetes) that enables everything you've seen from me. We can suspend and resume so fast that you can do it per tool call.
👉 github.com/agent-substrate/s…
👉 github.com/agent-substrate/e…
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🥳 Excited to start revealing what we've been working on in the last few months. First, we decided to reinvent Kubernetes for agentic workloads with statefulness and fast resumption. Secondly, we are building an agentic orchestrator that will be Google's open agentic orchestrator and runtime. github.com/google/ax
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The vLLM PR is up here: github.com/vllm-project/vllm…
I'd be interested to hear thoughts from people about it, especially if they try it!
