<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>nith.in</title><description>Writing on software architecture, engineering leadership, AI/agentic systems, and the homelab-to-enterprise pipeline.</description><link>https://nith.in/</link><item><title>The Verifiability Ladder: How AI Learned to Code, Why Developers Paid the Price, and Where the Economy Breaks</title><link>https://nith.in/posts/ai/ai-verifiability-ladder/</link><guid isPermaLink="true">https://nith.in/posts/ai/ai-verifiability-ladder/</guid><description>AI didn&apos;t target developers because they were easy to replace. It targeted code because compilers give the cleanest feedback signal for reinforcement learning. Developers were collateral damage of a training methodology — and they&apos;re just the first rung on a ladder that climbs from verifiable to unverifiable work.</description><pubDate>Thu, 02 Apr 2026 10:00:00 GMT</pubDate></item><item><title>AI Can&apos;t Replace What It Can&apos;t See</title><link>https://nith.in/posts/ai/ai-cant-replace-what-it-cant-see/</link><guid isPermaLink="true">https://nith.in/posts/ai/ai-cant-replace-what-it-cant-see/</guid><description>Companies are replacing senior talent with juniors and AI tools. But the most critical knowledge in any organization — the kind that drives real decisions — is invisible to AI entirely.</description><pubDate>Tue, 31 Mar 2026 10:00:00 GMT</pubDate></item></channel></rss>