Today’s list has a ton of interesting advice, especially on team/individual workflows.
[blog] My AI Coding Workflow, v3. I liked this post. I’m bearing on “how to use this product” skills since the models and harnesses can handle that. But I like skills that are about workflows and process preferences.
[blog] Introducing new self-learning context enrichment in Knowledge Catalog. I’ve had this “ready to read” for a few days, and should have read it sooner. Very cool functionality that I’m going to go hands-on with soon.
[blog] Building agents: When to fold subagents into your main agent loop. Whither subagents? Fold more of the routing and work into the main agent loop? Anthropic talks about it here and makes a good case.
[blog] How Google Beam connects military families globally. This hit me hard for some reason. I live in a military town, and I can see how tough it is for families to be apart.
[article] AI delivers ‘zero financial payoff’ to most companies, Apollo economist says. That doesn’t seem like good news. Profit margins and revenue per employee is flat, even with AI? From what I’ve observed, few have made the structural changes to take advantage yet.
[article] 3 Paths to Delivering Shareholder Returns with AI. Speaking of making structural and capability changes, read this. Solid advice.
[blog] Why are we still building apps just for humans? You shouldn’t be. Get that logic out of the user interface agents won’t use.
[blog] Preview, edit, and collaborate on markdown (.md) files natively in Google Docs and Drive. 10/10, no notes. Do full lifecycle work with markdown files without leaving Google Docs.
[blog] Your AI Agent Doesn’t Need to Keep Every File It Reads. Smart thinking. We’re reading a lot of context that isn’t needed once a turn is done. But all that bloat costs you something.
[article] Stop building agents that can’t change models. Could you swap models and harnesses in 48 hours? You might need to at some point. Think about what needs to be in place to not start from zero when it happens.
[blog]How Gemini 4 Argon Upleveled Agents on Antigravity: Trillion-Edge Graphs and Custom TPU Kernels. A year of work done in five hours, and a smart solution to boot? Not bad.
[blog] Don’t ask AI to write the user story yet. Get questions from your LLM (and your team, and yourself), don’t just have the AI write out requirements based on vague input.
Want to get this update sent to you every day? Subscribe to my RSS feed or subscribe via email below:
Leave a Reply