https://genalphai.com/ Research-driven AI engineering. Depth over hype.enhttps://genalphai.com/agentic-loops-and-harness-engineering/ https://genalphai.com/agentic-loops-and-harness-engineering/Thu, 11 Jun 2026 04:06:48 GMT The agent harness, not model IQ, decides whether autonomous coding agents ship. How ReAct, Plan-Execute-Verify, and the Ralph Wiggum loop really work.https://genalphai.com/generative-engine-optimization-guide/ https://genalphai.com/generative-engine-optimization-guide/Thu, 11 Jun 2026 01:28:31 GMT Generative engine optimization decides whether ChatGPT and AI Overviews cite you. The 2026 playbook: crawlers, llms.txt, and AI share of voice.https://genalphai.com/economics-of-ai-coding-agents/ https://genalphai.com/economics-of-ai-coding-agents/Thu, 11 Jun 2026 00:35:53 GMT AI coding ROI, demystified: real cost per pull request ($1-$30 in tokens, $20-$80 all-in), why the 4:1 claim doesn't hold up, and when local-first agents beat the cloud.https://genalphai.com/context-rot-and-the-dumb-zone/ https://genalphai.com/context-rot-and-the-dumb-zone/Wed, 10 Jun 2026 23:17:06 GMT Context rot degrades agent accuracy well inside the advertised context window. Here's the evidence for the 100k dumb zone and the architecture that fixes it.https://genalphai.com/swe-bench-pro-vs-verified/ https://genalphai.com/swe-bench-pro-vs-verified/Wed, 10 Jun 2026 22:46:07 GMT SWE-bench Verified was deprecated after 59.4% of its hard tasks had flawed tests. What SWE-bench Pro and the DeepSWE audit reveal about coding agent benchmarks.https://genalphai.com/agents-md-vs-claude-md/ https://genalphai.com/agents-md-vs-claude-md/Wed, 10 Jun 2026 22:04:13 GMT AGENTS.md, CLAUDE.md, and .cursor/rules compared: ownership, the three-tier permission model, context window budgeting, and the canonical-plus-adapters pattern.https://genalphai.com/ralph-wiggum-loop-stateless-agents/ https://genalphai.com/ralph-wiggum-loop-stateless-agents/Wed, 10 Jun 2026 21:42:26 GMT The Ralph Wiggum loop, coined by Geoffrey Huntley in July 2025, restarts a stateless agent every iteration with git as memory. Here's why it works.https://genalphai.com/reasoning-first-llms/ https://genalphai.com/reasoning-first-llms/Wed, 10 Jun 2026 20:50:22 GMT Reasoning-first LLMs require process supervision, self-consistency, and faithfulness probes, because chain of thought often rationalizes answers post hoc.