Hi, I'm @geediab.
RSS FeedIdeas, experiments, and build notes from George Diab. Shipping in public from georgediab.com.
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Trying Bumblebee
Published:• 6 min readRunning Perplexity's read-only endpoint scanner: zero catalogue findings, sixty-three MCP servers I never installed, and one freshness pattern worth knowing.
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Building a Second Brain in Plain Text
Published:• 15 min readWhat I learned building a markdown second brain with Tolaria, git, and an AI collaborator that helps with capture and structure, not writing the notes for me.
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Getting More Out of Claude Code With Remember and Superpowers
Published:• 5 min readThese two plugins made Claude Code easier to use for real engineering work by tightening the loop around context, planning, execution, and review.
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The Identity Crisis AI Created for Engineers
Published:• 6 min readWhat happens when an engineering team goes through an AI-driven identity crisis: the grief, the fracture, and what reorientation looks like on the other side.
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I Let GasTown Build A Toggl TUI
Published:• 9 min readI let GasTown build a Toggl TUI. The speed impressed me, but the real insight was watching a Mayor agent shift from solo coder to multi-agent coordinator.
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The Agents Are Idle
Published:• 7 min readAI doesn't reduce your cognitive load. It concentrates it. That distinction matters more than you think.
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Experimenting with the Entire CLI for AI Code Attribution
Published:• 5 min readA two-run case study of Entire CLI attribution: what the first test left ambiguous, what the prompt-only rerun clarified, and what still needs interpretation.
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linkledger-cli: A Local-First Memory Layer for AI Agents
Published:• 7 min readHow I built a local-first memory layer that captures sources quickly and returns compact, source-backed context for AI agents.
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The dark factory is not the point
Published:• 4 min readA pragmatic guide for engineers and leaders: scale AI coding autonomy by investing in verification, quality gates, and evidence pipelines.
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The AI-Native Shift: If You Work on a Screen, This Is For You
Published:• 5 min readAI got great at coding first because it compounds. The real shift is for anyone who works on a screen: turn intent into output faster and iterate more.