Daily Reading List – June 8, 2026 (#800)

Following last week’s intense focus on tokens, it’s interesting to see some folks doubling-down on token-intense practices such as loop engineering. While others, in today’s reading list, explore the important human role in AI work.

[blog] Do better research with NotebookLM. Sweet update. Better models, more types of output formats (e.g. PDF, Excel, Markdown), and more help getting started on research.

[blog] How I Actually Code (and Review) With AI in 2026. Thoughtful post, and actionable too. Steal some of these prompts/skills for your coding harness.

[blog] Using Agent Platform Memory Bank and Sessions from other runtimes. Services that support agents (like those providing memory) need to be available to any runtime, not tightly coupled to one.

[article] Embedding pipelines are the new ETL. When you do ingestion, chunking, and indexing for your embedding pipeline, are you doing the equivalent of extract-transform-load exercises?

[blog] What’s worth learning in an AI era? “Do I need to learn this” is a profound question to ask yourself right now. And how deep do we need to go?

[youtube-video] Software engineering at the tipping point. Wow, watch this. Seriously. Important talk for the AI era and why engineering matters more than ever.

[blog] Choosing Values for Robust Tests. Quick simple advice for us to follow if we want to avoid false confidence in our test suite.

[blog] How to Secure AI Agents: A Practical Overview for Development Teams. Check this out to see which four security domains Docker thinks you should pay attention to when delivering agents.

[blog] Is Valkey Ready to Replace Redis in 2026? Not a definitive “yes” nor a definitive “no.” This piece has a few useful considerations to factor in.

[blog] Coding Is No Longer the Constraint: Scaling Developer Experience to Teams and Agents at Spotify. Use fewer things, but be great at the tech you invest in. That’s Spotify’s engineering vibe, and it’s serving them well.

[blog] Deploying Hermes AI Agent and WebUI on GCP: A Step-by-Step Hands-On Guide. If you’ve got the tokens and personal agents like crave loops, run stuff like Hermes and OpenClaw.

[paper] Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering. Source paper for an article I shared a month or so ago. It’s more timely right now as people suffer under the weight of rapidly-consumed token budgets.

[article] The AI Agents Stack (2026 Edition). Nice job. It’s a good look at various layers and components that make up modern agents.

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