Daily Reading List – August 17, 2026 (#847)

It’s “strong opinions Monday” here at the Reading List. Check out some strong takes below.

[blog] A2A joins AAIF’s open agentic stack. We’ve been working on this for a bit. I’m glad to see the open agent-to-agent protocol migrate to this foundation.

[article] When AI Writes the Code, Specifications Need an Exit Strategy. Super interesting post. We haven’t reached industry-wide agreement on the role of specs in the software process.

[article] Research: The Innovation Problems AI Can’t Solve. One thing I took away from this is “don’t rush” and avoid cognitive surrender. Use the AI as a tool, not a substitute for thinking, seeing things for yourself, or taking ownership.

[blog] Antigravity: the busy PM’s best friend. And here are great problems that AI *can* solve. Especially with human spot-checking.

[blog] How Kenn is doing Agentic Engineering. Wonderful post about how this team works with AI. I liked the pushback on loops and dark software factories. Those things are working for some people, but it’s overhyped.

[blog] Skills Sprawl: When Too Much of a Good Thing Confuses Your AI Agent. You’ve gorged yourself on skills. Step one was recognizing it. Step two is to do something about it. Excellent post from Darren.

[blog] The SKILL.md Fallacy: Phase Transitions & Process Isolation in Coding Agents. What a write-up by Ali. He makes a strong case that we’re misusing skills and should be looking at subagents instead.

[blog] Fabled Too Hard? How I Stay Engaged in AI Development. Don’t lose your creativity or your agency just because you do AI-assisted development.

[article] Elevating Antigravity agent skills, Part 5: Subagent management. maybe you follow Ali’s above advice, but get good at learning how to manage your subagent teams.

[article] GitHub outage disrupts developers worldwide in latest setback for Microsoft coding platform. Oof. Rough day for GitHub on an issue that’s plagued them for a while now. Timing wasn’t great, as a legit competitor launched today.

[blog] The Shapes of Agent Memory – Files, Stores, and Experience. I’m not smart enough to extract all the learnings from this, but sounds like databases are better that text files when AI needs to process many conversations.

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