One more month and one more 100K

One more month and one more 100K. 
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AI News in 10: Weekend Brief - July 10, 2026

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I Built an AI That Reads 400 Repos and 22 RSS Feeds So I Don’t Have To

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How a knowledge graph, two cron jobs, and an LLM replaced my morning routine Surya Jayanti · April 2026 I manage a platform with 400+ repositories across multiple GitHub orgs. Every morning used to mean: 30+ merged PRs releases I didn’t track wiki updates I missed 22 blogs worth of industry noise So I built three AI systems that read everything for me, analyze it against my codebase, and send a briefing before my first coffee. This is how it works. 1. The Knowledge Graph: Teaching an LLM Your Codebase LLMs are great generalists, but they don’t understand your platform. Ask them about your services and they’ll confidently hallucinate. I call this the hallucination gap . The fix: build a structured representation of your codebase. Why not just RAG? Chunk-and-embed gives you fragments. But real insights live between files : imports → dependencies Kafka producers → consumers service calls → system wiring So instead of dumping code, I extract relationships. 4-Layer Model ...
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