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<title>GenAlphAI</title><link>https://genalphai.com/</link>
<description>Research-driven AI engineering. Depth over hype.</description><language>en</language><item><title>Context Rot and the Dumb Zone: Engineering Past 100k Tokens</title><link>https://genalphai.com/context-rot-and-the-dumb-zone/</link>
<guid>https://genalphai.com/context-rot-and-the-dumb-zone/</guid><pubDate>Wed, 10 Jun 2026 23:17:06 GMT</pubDate>
<description>Context rot degrades LLM agents well inside advertised windows. Why the ~100k dumb zone exists, what 'lost in the middle' research shows, and the inner-loop/outer-loop architecture that fixes it.</description></item><item><title>SWE-bench Pro vs Verified: Can You Trust Coding Benchmarks?</title><link>https://genalphai.com/swe-bench-pro-vs-verified/</link>
<guid>https://genalphai.com/swe-bench-pro-vs-verified/</guid><pubDate>Wed, 10 Jun 2026 22:46:07 GMT</pubDate>
<description>OpenAI deprecated SWE-bench Verified after finding flawed tests in 59.4% of hard tasks. How SWE-bench Pro and DeepSWE's 32.5% verifier error rate change agent evaluation.</description></item><item><title>AGENTS.md vs CLAUDE.md vs Cursor Rules: Agent Config Done Right</title><link>https://genalphai.com/agents-md-vs-claude-md/</link>
<guid>https://genalphai.com/agents-md-vs-claude-md/</guid><pubDate>Wed, 10 Jun 2026 22:04:13 GMT</pubDate>
<description>AGENTS.md, CLAUDE.md, and .cursor/rules compared: three-tier permissions, context budgeting, and the canonical-plus-adapters pattern that keeps coding agents obedient.</description></item><item><title>The Ralph Wiggum Loop: Why Stateless Agents Beat Smart Ones</title><link>https://genalphai.com/ralph-wiggum-loop-stateless-agents/</link>
<guid>https://genalphai.com/ralph-wiggum-loop-stateless-agents/</guid><pubDate>Wed, 10 Jun 2026 21:42:26 GMT</pubDate>
<description>The Ralph Wiggum loop re-feeds one prompt to a fresh agent process forever, using files and git as the only memory. Why this dumb pattern keeps winning.</description></item><item><title>Reasoning-First LLMs: Make Models Reason, Not Rationalize</title><link>https://genalphai.com/reasoning-first-llms/</link>
<guid>https://genalphai.com/reasoning-first-llms/</guid><pubDate>Wed, 10 Jun 2026 20:50:22 GMT</pubDate>
<description>LLMs rationalize answers they already chose. Process supervision, self-consistency, and faithfulness probes force models to reason to the right answer.</description></item></channel></rss>