I had a relaxing birthday weekend and was raring to go today. Not surprisingly, this reading list has a handful of AI-related items.
[blog] Experts Lead Experts. Obvious? You’d think so. But not everyone believes that experts should lead experts, and we put “people-only managers” in place.
[blog] Do Angular apps need WebMCP? Can’t an AI agent just figure out a web page through the DOM versus needing the tools provided by WebMCP? Sure, but as this test shows, it consumes more time and tokens.
[blog] Elevating Antigravity agent skills, Part 4: Subagent messaging. Subagents need to know about each other, and be able to communicate. Maybe you used a shared doc or some other way to pass messages. Antigravity has some built-in options.
[article] Nine unlikely trends shaping software development. Fair title. I was skeptical that these would be “unlikely”, but there’s some unexpected industry movement called out here.
[blog] Run decision models on vLLM and Red Hat AI using DiffusionGemma. Red Hat showing how DiffusionGemma makes a pretty good Jev-style decision model option.
[article] Meta announces enterprise AI platform, recruits MongoDB CEO to lead it. Keep an eye on this one. Will enterprises buy core technology from Meta? Don’t rule it out. More here.
[blog] Automating coherent long-form video generation. Today is the least realistic and consistent that AI-driven video generation will ever be. Only getting better.
[blog] Unlock 3x QPS and microsecond latency with Memorystore for Valkey 9.1. This isn’t just a Redis alternative. By itself, Valkey is a top performing database for scaled access.
[article] Apps, Agents, and Aggregation. This is all feeding my confirmation bias, but it’s hard not to notice the trend. We’ll use super-apps that aggregate through agents, generative/personalized UIs for the rest.
[blog] Why your startup needs open models alongside frontier APIs. Good post that outlines workloads where an open model is a good complement to our frontier model use.
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