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vibe_codingBACKGROUND

Retrospective on Rituals in a World of Human + Agent Collaboration

BACKGROUND
1 SIGNALFIRST DETECTED 14 April 2026
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30 Apr
Your 40-Page Style Guide Isn't a Standard. It's a Wish List.

<p>I was sitting in a demo from the head of architecture when the problem clicked into focus. He was showing how his team had moved everything out of Confluence and into Markdown

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16 Oct
You let the agent merge its own PR. CI was green. That's the problem.

<p>A few weeks back I gave a coding agent one instruction: <em>"fix the failing import and ship it."</em></p> <p>CI went green. The agent, which I'd allowed to self-merge when

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16 May
Why Runtime Governance for LLM Agents Is Inevitable

<p>What three independent research groups concluded in early 2026 — and what it means for anyone building agent pipelines today</p> <p>In the first quarter of 2026, at least three

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2 Apr
The Claude Code Leak Just Gave Every Developer a Masterclass in AI Agent Orchestration

<p>On March 31, 2026, Anthropic accidentally shipped the entire source code of Claude Code — its flagship AI coding agent — inside a routine npm update. No hack. No reverse

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25 Apr
Google Just Killed Vertex AI. Here's What the Gemini Enterprise Agent Platform

<p>Vertex AI has been Google Cloud's AI development platform since 2021. On April 22, 2026, at Google Cloud Next in Las Vegas, Google retired it — not with a deprecation notice,

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19 Oct
From Code Writer to Agent Orchestrator: The Evolving Role of Software Developers in 2026

<h2> Introduction: The Moment Manual Coding Became "Optional" </h2> <p>In January 2026, Boris Cherny, head of Claude Code at Anthropic, made a statement that reverberated across

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6 May
Agent-Ready Engineering Infrastructure

<ul> <li>GitHub repository: <a href="https://github.com/gezilinll/agent-grove" rel="noopener noreferrer">https://github.com/gezilinll/agent-grove</a> </li> <li>Online

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1 May
Spent yesterday reading the ICLR paper everyone in the agent space is going to be quoting for the next year.

<p>"The Reasoning Trap." The line the authors won't quite say out loud is that the smarter your model gets at reasoning, the more likely it is to fabricate a tool that doesn't

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