Daily Reading List – October 13, 2025 (#647)

I never seem to get my demo apps working on the first pass, but it always turns out to be a (painful) blessing in disguise. Instead of taking a couple of hours to build an agent demo, it took a couple of weeks. But I was forced to read source code, experiment, and learn so much more than if it worked the first time. I’ll post my experiences tomorrow.

[blog] F*ck it and Let it Rip. Try your hardest and have fun. A performance approach mindset is the way to go.

[article] Becoming an AI-first business requires a total organizational mindshift. It’s true and many won’t make it. Not because they’re not smart, but because it takes a level of acceptable recklessness to institute the change.

[blog] I’m in Vibe Coding Hell. I liked the points here. There’s a new challenge for self-learners who used to be dependent on the tutorial to get work done; now they’re dependent on their AI tool.

[blog] Predictions 2026: Tech Leadership Will Be Wild — Bring Your Surfboard, Your Calculator, And Maybe A Clone. Yah, I can’t imagine being a team or organization leader in tech next year. Wait a minute.

[article] Salesforce bets on AI ‘agents’ to fix what it calls a $7 billion problem in enterprise software. The unique circus of Dreamforce is going on this week, so expect all sorts of announcements. Here’s one about the new AgentForce 360.

[blog] Quantum computing 101 for developers. My boss is deep into this, but I’ve only stayed peripherally aware. But I thought this was a good article for bringing folks up to speed.

[article] Java or Python for building agents? A silly question twelve months ago, not so much today.

[blog] Agents That Prove, Not Guess: A Multi-Agent Code Review System. It’s tempting to just dump a single prompt or pile of context into an agent and want something good back. But Ayo shows a better approach if you care about repeatability and transparency.

[paper] Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models. Nonstop research and experimentation into making AI models more trustworthy and useful.

[blog] What’s 🔥 in Enterprise IT/VC #467. This is one my favorite weekend reads. Doesn’t hurt that I showed up in this one.

[blog] The Architect’s Dilemma. Good look at how you’d decide between using tools in your agent architecture, or use agents talking to agents.

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