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Created February 8, 2026 03:22
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Claude Code Insights Report
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report.html
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Claude Code Insights</title>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap" rel="stylesheet">
<style>
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@media (max-width: 640px) { .charts-row { grid-template-columns: 1fr; } .stats-row { justify-content: center; } }
</style>
</head>
<body>
<div class="container">
<h1>Claude Code Insights</h1>
<p class="subtitle">2,461 messages across 295 sessions | 2026-01-27 to 2026-02-08</p>
<div class="at-a-glance">
<div class="glance-title">At a Glance</div>
<div class="glance-sections">
<div class="glance-section"><strong>What's working:</strong> You've built a genuinely impressive workflow around massive parallel agent orchestration — spawning dozens of workers to audit, refactor, and fix large Rust and TypeScript codebases, then iterating until things are green. Your ability to move fluidly between swarm coordination, end-to-end feature delivery (like the phased orchestrator or Quick Chat), and debugging deployment issues shows you're treating Claude as a real development partner, not just an autocomplete. <a href="#section-wins" class="see-more">Impressive Things You Did →</a></div>
<div class="glance-section"><strong>What's hindering you:</strong> On Claude's side, workers in your parallel swarms frequently step on each other — overwriting commits, causing OOM kills, and leaving broken builds that require multiple manual fix rounds. Claude also sometimes ignores context you've already provided (like skill docs) or drifts into unrequested changes. On your side, the swarm sizes you're requesting (20-100+ agents) consistently exceed what can reliably coordinate in a shared workspace, and there's often no verification gate between swarm completion and committing, which lets regressions land. <a href="#section-friction" class="see-more">Where Things Go Wrong →</a></div>
<div class="glance-section"><strong>Quick wins to try:</strong> Try defining your most common swarm patterns — launch, audit, fix-and-commit — as custom skill files so Claude has explicit scope boundaries and doesn't drift. Also, set up a hook to auto-run `cargo check` after code edits so compilation errors get caught immediately rather than snowballing across parallel workers. <a href="#section-features" class="see-more">Features to Try →</a></div>
<div class="glance-section"><strong>Ambitious workflows:</strong> As models get more capable, your parallel swarm workflow is perfectly positioned for self-healing: imagine each agent working in an isolated git worktree, running build and test validation before merging, and automatically retrying with narrower scope on failure — no more conflicting concurrent changes or OOM cascades. Your session that hit 6,840 passing tests proves the endgame works; it just needs to become a single command that loops audit-prioritize-fix until everything is green. <a href="#section-horizon" class="see-more">On the Horizon →</a></div>
</div>
</div>
<nav class="nav-toc">
<a href="#section-work">What You Work On</a>
<a href="#section-usage">How You Use CC</a>
<a href="#section-wins">Impressive Things</a>
<a href="#section-friction">Where Things Go Wrong</a>
<a href="#section-features">Features to Try</a>
<a href="#section-patterns">New Usage Patterns</a>
<a href="#section-horizon">On the Horizon</a>
<a href="#section-feedback">Team Feedback</a>
</nav>
<div class="stats-row">
<div class="stat"><div class="stat-value">2,461</div><div class="stat-label">Messages</div></div>
<div class="stat"><div class="stat-value">+93,124/-18,448</div><div class="stat-label">Lines</div></div>
<div class="stat"><div class="stat-value">902</div><div class="stat-label">Files</div></div>
<div class="stat"><div class="stat-value">13</div><div class="stat-label">Days</div></div>
<div class="stat"><div class="stat-value">189.3</div><div class="stat-label">Msgs/Day</div></div>
</div>
<h2 id="section-work">What You Work On</h2>
<div class="project-areas">
<div class="project-area">
<div class="area-header">
<span class="area-name">Rust Codebase Large-Scale Refactoring &amp; Auditing</span>
<span class="area-count">~12 sessions</span>
</div>
<div class="area-desc">Massive parallel agent swarms (20-100+ workers) were used to audit, refactor, and improve a large Rust codebase. Work included splitting oversized .rs files, reorganizing test structures, fixing hundreds of compilation errors, running clippy audits, and improving type safety and error handling. Claude Code orchestrated multi-agent campaigns that touched 1000+ files with tens of thousands of lines changed, though timeouts, OOM issues, and conflicting concurrent changes caused significant friction in some sessions.</div>
</div>
<div class="project-area">
<div class="area-header">
<span class="area-name">Tauri Desktop App UI &amp; Feature Development</span>
<span class="area-count">~14 sessions</span>
</div>
<div class="area-desc">Development of a Tauri-based desktop application with features including a recording overlay, AI chat with streaming, Quick Chat functionality, and search results UI. Claude Code was used for implementing new features (Shift+Tab shortcuts, auto-scroll, Quick Chat window), fixing UI issues (footer colors, button consistency, fade transitions, focus outlines), and debugging complex issues like Tauri permissions, race conditions, and scroll behavior. Work spanned TypeScript, Rust, CSS, and HTML across multiple files.</div>
</div>
<div class="project-area">
<div class="area-header">
<span class="area-name">Codex Swarm Orchestration Tooling</span>
<span class="area-count">~10 sessions</span>
</div>
<div class="area-desc">Building and using a custom parallel agent orchestration system ('codex-swarm') for dispatching large numbers of Claude Code workers on tasks. This included creating the phases.ts orchestrator (~900 lines) with role-based enforcement, building audit-triage and swarm-launcher CLI tools, spawning swarms of 25-50+ agents for demo project generation and design system application, and monitoring worker outputs. Claude Code was used both as the tool being built and as the agent executing the swarm dispatches.</div>
</div>
<div class="project-area">
<div class="area-header">
<span class="area-name">Workflow DevKit &amp; Vercel Integration</span>
<span class="area-count">~8 sessions</span>
</div>
<div class="area-desc">Development and debugging of a workflow system integrated with Vercel, including fixing serialization format mismatches for progress streaming, upgrading scraping to use sandbox-based browser capture with AI summarization, and building landing pages from research docs. Claude Code diagnosed deployment issues, fixed NDJSON serialization bugs, and helped verify correct usage of agent-browser and AI SDK patterns, though deprecated API usage and gateway misconfigurations caused friction.</div>
</div>
<div class="project-area">
<div class="area-header">
<span class="area-name">Git TUI Tool Development</span>
<span class="area-count">~5 sessions</span>
</div>
<div class="area-desc">Building an AI-powered git TUI manager from a proof-of-concept, using parallel codex swarms of 25-30 agents for brainstorming and implementation. Claude Code orchestrated the full build pipeline including 125 passing tests and global installation, though the tool struggled with massive git state from high-volume agent activity. Post-generation debugging was needed to fix type errors and infinite re-render loops from Zustand selectors before the TUI could run.</div>
</div>
</div>
<div class="charts-row">
<div class="chart-card">
<div class="chart-title">What You Wanted</div>
<div class="bar-row">
<div class="bar-label">Check Task Output</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#2563eb"></div></div>
<div class="bar-value">25</div>
</div>
<div class="bar-row">
<div class="bar-label">Feature Implementation</div>
<div class="bar-track"><div class="bar-fill" style="width:72%;background:#2563eb"></div></div>
<div class="bar-value">18</div>
</div>
<div class="bar-row">
<div class="bar-label">Bug Fix</div>
<div class="bar-track"><div class="bar-fill" style="width:40%;background:#2563eb"></div></div>
<div class="bar-value">10</div>
</div>
<div class="bar-row">
<div class="bar-label">Code Explanation</div>
<div class="bar-track"><div class="bar-fill" style="width:16%;background:#2563eb"></div></div>
<div class="bar-value">4</div>
</div>
<div class="bar-row">
<div class="bar-label">Code Generation</div>
<div class="bar-track"><div class="bar-fill" style="width:16%;background:#2563eb"></div></div>
<div class="bar-value">4</div>
</div>
<div class="bar-row">
<div class="bar-label">Git Operations</div>
<div class="bar-track"><div class="bar-fill" style="width:16%;background:#2563eb"></div></div>
<div class="bar-value">4</div>
</div>
</div>
<div class="chart-card">
<div class="chart-title">Top Tools Used</div>
<div class="bar-row">
<div class="bar-label">Bash</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#0891b2"></div></div>
<div class="bar-value">3826</div>
</div>
<div class="bar-row">
<div class="bar-label">Read</div>
<div class="bar-track"><div class="bar-fill" style="width:59.017250392054365%;background:#0891b2"></div></div>
<div class="bar-value">2258</div>
</div>
<div class="bar-row">
<div class="bar-label">Edit</div>
<div class="bar-track"><div class="bar-fill" style="width:32.828018818609515%;background:#0891b2"></div></div>
<div class="bar-value">1256</div>
</div>
<div class="bar-row">
<div class="bar-label">TaskList</div>
<div class="bar-track"><div class="bar-fill" style="width:29.22111866178777%;background:#0891b2"></div></div>
<div class="bar-value">1118</div>
</div>
<div class="bar-row">
<div class="bar-label">Grep</div>
<div class="bar-track"><div class="bar-fill" style="width:19.210663878724514%;background:#0891b2"></div></div>
<div class="bar-value">735</div>
</div>
<div class="bar-row">
<div class="bar-label">Task</div>
<div class="bar-track"><div class="bar-fill" style="width:16.5446941975954%;background:#0891b2"></div></div>
<div class="bar-value">633</div>
</div>
</div>
</div>
<div class="charts-row">
<div class="chart-card">
<div class="chart-title">Languages</div>
<div class="bar-row">
<div class="bar-label">Rust</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#10b981"></div></div>
<div class="bar-value">1445</div>
</div>
<div class="bar-row">
<div class="bar-label">TypeScript</div>
<div class="bar-track"><div class="bar-fill" style="width:83.11418685121107%;background:#10b981"></div></div>
<div class="bar-value">1201</div>
</div>
<div class="bar-row">
<div class="bar-label">Markdown</div>
<div class="bar-track"><div class="bar-fill" style="width:48.44290657439446%;background:#10b981"></div></div>
<div class="bar-value">700</div>
</div>
<div class="bar-row">
<div class="bar-label">JSON</div>
<div class="bar-track"><div class="bar-fill" style="width:11.487889273356402%;background:#10b981"></div></div>
<div class="bar-value">166</div>
</div>
<div class="bar-row">
<div class="bar-label">CSS</div>
<div class="bar-track"><div class="bar-fill" style="width:4.013840830449826%;background:#10b981"></div></div>
<div class="bar-value">58</div>
</div>
<div class="bar-row">
<div class="bar-label">Shell</div>
<div class="bar-track"><div class="bar-fill" style="width:2.006920415224913%;background:#10b981"></div></div>
<div class="bar-value">29</div>
</div>
</div>
<div class="chart-card">
<div class="chart-title">Session Types</div>
<div class="bar-row">
<div class="bar-label">Single Task</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#8b5cf6"></div></div>
<div class="bar-value">36</div>
</div>
<div class="bar-row">
<div class="bar-label">Multi Task</div>
<div class="bar-track"><div class="bar-fill" style="width:47.22222222222222%;background:#8b5cf6"></div></div>
<div class="bar-value">17</div>
</div>
<div class="bar-row">
<div class="bar-label">Iterative Refinement</div>
<div class="bar-track"><div class="bar-fill" style="width:22.22222222222222%;background:#8b5cf6"></div></div>
<div class="bar-value">8</div>
</div>
<div class="bar-row">
<div class="bar-label">Exploration</div>
<div class="bar-track"><div class="bar-fill" style="width:2.7777777777777777%;background:#8b5cf6"></div></div>
<div class="bar-value">1</div>
</div>
<div class="bar-row">
<div class="bar-label">Quick Question</div>
<div class="bar-track"><div class="bar-fill" style="width:2.7777777777777777%;background:#8b5cf6"></div></div>
<div class="bar-value">1</div>
</div>
</div>
</div>
<h2 id="section-usage">How You Use Claude Code</h2>
<div class="narrative">
<p>You are a <strong>power user who operates at massive scale</strong>, routinely pushing Claude Code to its limits by orchestrating swarms of parallel agents — 25, 50, even 100+ at a time — to tackle ambitious refactoring, auditing, and feature implementation tasks across your Rust and TypeScript codebases. Your interaction style is distinctly <strong>command-and-delegate</strong>: you issue high-level directives like &quot;spawn 50 agents to analyze the codebase&quot; or &quot;use 20 parallel agents to reorganize test files,&quot; and then monitor the results rather than micromanaging individual steps. With 295 sessions and 590 hours logged in just 12 days, you're clearly running Claude as a continuous engineering force multiplier. Your most common goal — <strong>check_task_output</strong> (25 sessions) — perfectly captures this pattern: you dispatch work, then come back to review what the swarm produced.</p>
<p>Your style is <strong>iterative and failure-tolerant rather than perfection-seeking upfront</strong>. When workers time out, fail, or produce buggy code, you don't abandon the approach — you re-spawn with narrower scopes, redirect Claude to fix compilation errors, or manually intervene on small issues while letting the agents handle the bulk. The 20-agent test reorganization that ended with hundreds of errors, the footer color fix that required multiple rounds, the Quick Chat feature that needed five rounds of debugging — these show you're comfortable with a messy, high-throughput workflow where progress comes through rapid iteration. You'll interrupt Claude when it takes the wrong approach (like reading files when you wanted a swarm dispatched), and you rejected actions 9 times, but overall your 87% &quot;likely satisfied&quot; rate shows this chaos-embracing strategy works for you.</p>
<p>Your projects span a remarkable breadth — from Tauri desktop apps with voice features, to Rust CLI tools with thousands of tests, to landing pages and tweet generation — and you treat Claude as a <strong>full-stack engineering team</strong> rather than a single assistant. The 40 successful multi-file changes and 139 commits reflect real, shipped output. Your biggest friction points come from the inherent challenges of parallelism: concurrent agents overwriting each other's work, OOM kills, context overflow, and timeout cascades. But even your most ambitious session — 108 agents implementing 104 improvement plans resulting in ~20K lines changed — was marked fully achieved. You've essentially built your own meta-orchestration workflow on top of Claude Code, and you optimize for <strong>total throughput over individual precision</strong>.</p>
<div class="key-insight"><strong>Key pattern:</strong> You operate Claude Code as a massively parallel engineering swarm, dispatching dozens of agents simultaneously and iterating through failures at high speed rather than carefully specifying individual tasks upfront.</div>
</div>
<!-- Response Time Distribution -->
<div class="chart-card" style="margin: 24px 0;">
<div class="chart-title">User Response Time Distribution</div>
<div class="bar-row">
<div class="bar-label">2-10s</div>
<div class="bar-track"><div class="bar-fill" style="width:75.46296296296296%;background:#6366f1"></div></div>
<div class="bar-value">163</div>
</div>
<div class="bar-row">
<div class="bar-label">10-30s</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#6366f1"></div></div>
<div class="bar-value">216</div>
</div>
<div class="bar-row">
<div class="bar-label">30s-1m</div>
<div class="bar-track"><div class="bar-fill" style="width:75.92592592592592%;background:#6366f1"></div></div>
<div class="bar-value">164</div>
</div>
<div class="bar-row">
<div class="bar-label">1-2m</div>
<div class="bar-track"><div class="bar-fill" style="width:83.33333333333334%;background:#6366f1"></div></div>
<div class="bar-value">180</div>
</div>
<div class="bar-row">
<div class="bar-label">2-5m</div>
<div class="bar-track"><div class="bar-fill" style="width:84.25925925925925%;background:#6366f1"></div></div>
<div class="bar-value">182</div>
</div>
<div class="bar-row">
<div class="bar-label">5-15m</div>
<div class="bar-track"><div class="bar-fill" style="width:71.75925925925925%;background:#6366f1"></div></div>
<div class="bar-value">155</div>
</div>
<div class="bar-row">
<div class="bar-label">>15m</div>
<div class="bar-track"><div class="bar-fill" style="width:69.9074074074074%;background:#6366f1"></div></div>
<div class="bar-value">151</div>
</div>
<div style="font-size: 12px; color: #64748b; margin-top: 8px;">
Median: 75.4s &bull; Average: 351.8s
</div>
</div>
<!-- Multi-clauding Section (matching Python reference) -->
<div class="chart-card" style="margin: 24px 0;">
<div class="chart-title">Multi-Clauding (Parallel Sessions)</div>
<div style="display: flex; gap: 24px; margin: 12px 0;">
<div style="text-align: center;">
<div style="font-size: 24px; font-weight: 700; color: #7c3aed;">484</div>
<div style="font-size: 11px; color: #64748b; text-transform: uppercase;">Overlap Events</div>
</div>
<div style="text-align: center;">
<div style="font-size: 24px; font-weight: 700; color: #7c3aed;">226</div>
<div style="font-size: 11px; color: #64748b; text-transform: uppercase;">Sessions Involved</div>
</div>
<div style="text-align: center;">
<div style="font-size: 24px; font-weight: 700; color: #7c3aed;">56%</div>
<div style="font-size: 11px; color: #64748b; text-transform: uppercase;">Of Messages</div>
</div>
</div>
<p style="font-size: 13px; color: #475569; margin-top: 12px;">
You run multiple Claude Code sessions simultaneously. Multi-clauding is detected when sessions
overlap in time, suggesting parallel workflows.
</p>
</div>
<!-- Time of Day & Tool Errors -->
<div class="charts-row">
<div class="chart-card">
<div class="chart-title" style="display: flex; align-items: center; gap: 12px;">
User Messages by Time of Day
<select id="timezone-select" style="font-size: 12px; padding: 4px 8px; border-radius: 4px; border: 1px solid #e2e8f0;">
<option value="0">PT (UTC-8)</option>
<option value="3">ET (UTC-5)</option>
<option value="8">London (UTC)</option>
<option value="9">CET (UTC+1)</option>
<option value="17">Tokyo (UTC+9)</option>
<option value="custom">Custom offset...</option>
</select>
<input type="number" id="custom-offset" placeholder="UTC offset" style="display: none; width: 80px; font-size: 12px; padding: 4px; border-radius: 4px; border: 1px solid #e2e8f0;">
</div>
<div id="hour-histogram">
<div class="bar-row">
<div class="bar-label">Morning (6-12)</div>
<div class="bar-track"><div class="bar-fill" style="width:43.766816143497756%;background:#8b5cf6"></div></div>
<div class="bar-value">488</div>
</div>
<div class="bar-row">
<div class="bar-label">Afternoon (12-18)</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#8b5cf6"></div></div>
<div class="bar-value">1115</div>
</div>
<div class="bar-row">
<div class="bar-label">Evening (18-24)</div>
<div class="bar-track"><div class="bar-fill" style="width:69.50672645739911%;background:#8b5cf6"></div></div>
<div class="bar-value">775</div>
</div>
<div class="bar-row">
<div class="bar-label">Night (0-6)</div>
<div class="bar-track"><div class="bar-fill" style="width:7.4439461883408065%;background:#8b5cf6"></div></div>
<div class="bar-value">83</div>
</div></div>
</div>
<div class="chart-card">
<div class="chart-title">Tool Errors Encountered</div>
<div class="bar-row">
<div class="bar-label">Command Failed</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#dc2626"></div></div>
<div class="bar-value">136</div>
</div>
<div class="bar-row">
<div class="bar-label">Other</div>
<div class="bar-track"><div class="bar-fill" style="width:54.41176470588235%;background:#dc2626"></div></div>
<div class="bar-value">74</div>
</div>
<div class="bar-row">
<div class="bar-label">File Changed</div>
<div class="bar-track"><div class="bar-fill" style="width:14.705882352941178%;background:#dc2626"></div></div>
<div class="bar-value">20</div>
</div>
<div class="bar-row">
<div class="bar-label">File Not Found</div>
<div class="bar-track"><div class="bar-fill" style="width:11.029411764705882%;background:#dc2626"></div></div>
<div class="bar-value">15</div>
</div>
<div class="bar-row">
<div class="bar-label">User Rejected</div>
<div class="bar-track"><div class="bar-fill" style="width:8.823529411764707%;background:#dc2626"></div></div>
<div class="bar-value">12</div>
</div>
<div class="bar-row">
<div class="bar-label">File Too Large</div>
<div class="bar-track"><div class="bar-fill" style="width:6.61764705882353%;background:#dc2626"></div></div>
<div class="bar-value">9</div>
</div>
</div>
</div>
<h2 id="section-wins">Impressive Things You Did</h2>
<p class="section-intro">You're a power user running massive parallel agent swarms across Rust and TypeScript codebases, completing 295 sessions with a 76% full/mostly achieved rate over just 12 days.</p>
<div class="big-wins">
<div class="big-win">
<div class="big-win-title">Massive Parallel Agent Orchestration</div>
<div class="big-win-desc">You've developed a remarkable workflow of spawning 25-100+ parallel Codex agents to tackle large-scale codebase tasks — from splitting 1,018 Rust files to running 50-agent audit-and-implement cycles producing nearly 20,000 lines of changes. You consistently push the boundaries of parallel orchestration, iterating on failed or timed-out workers by re-spawning them with narrower scopes until the job is done.</div>
</div>
<div class="big-win">
<div class="big-win-title">Iterative Swarm-Driven Codebase Healing</div>
<div class="big-win-desc">You use a compelling pattern of first dispatching swarms for auditing (identifying issues across 50+ files), then immediately following up with implementation swarms to fix everything found. Your 25-worker Rust audit session that culminated in 6,840 passing tests with clean clippy shows you've mastered the art of using Claude as a large-scale code quality engine, staying engaged to shepherd fixes through multiple iterations.</div>
</div>
<div class="big-win">
<div class="big-win-title">Full-Stack Feature Delivery Pipeline</div>
<div class="big-win-desc">Beyond swarm work, you effectively use Claude for end-to-end feature delivery — from diagnosing a serialization format mismatch in workflow progress display, to implementing a Shift+Tab shortcut across multiple files, to building a complete phased orchestrator tool (~900 lines). You move fluidly between debugging, feature implementation, and deployment verification, treating Claude as a full development partner across your Rust/TypeScript/Tauri stack.</div>
</div>
</div>
<div class="charts-row">
<div class="chart-card">
<div class="chart-title">What Helped Most (Claude's Capabilities)</div>
<div class="bar-row">
<div class="bar-label">Multi-file Changes</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#16a34a"></div></div>
<div class="bar-value">40</div>
</div>
<div class="bar-row">
<div class="bar-label">Good Explanations</div>
<div class="bar-track"><div class="bar-fill" style="width:12.5%;background:#16a34a"></div></div>
<div class="bar-value">5</div>
</div>
<div class="bar-row">
<div class="bar-label">Good Debugging</div>
<div class="bar-track"><div class="bar-fill" style="width:12.5%;background:#16a34a"></div></div>
<div class="bar-value">5</div>
</div>
<div class="bar-row">
<div class="bar-label">Proactive Help</div>
<div class="bar-track"><div class="bar-fill" style="width:7.5%;background:#16a34a"></div></div>
<div class="bar-value">3</div>
</div>
<div class="bar-row">
<div class="bar-label">Correct Code Edits</div>
<div class="bar-track"><div class="bar-fill" style="width:7.5%;background:#16a34a"></div></div>
<div class="bar-value">3</div>
</div>
<div class="bar-row">
<div class="bar-label">Fast/Accurate Search</div>
<div class="bar-track"><div class="bar-fill" style="width:5%;background:#16a34a"></div></div>
<div class="bar-value">2</div>
</div>
</div>
<div class="chart-card">
<div class="chart-title">Outcomes</div>
<div class="bar-row">
<div class="bar-label">Not Achieved</div>
<div class="bar-track"><div class="bar-fill" style="width:3.7037037037037033%;background:#8b5cf6"></div></div>
<div class="bar-value">1</div>
</div>
<div class="bar-row">
<div class="bar-label">Partially Achieved</div>
<div class="bar-track"><div class="bar-fill" style="width:37.03703703703704%;background:#8b5cf6"></div></div>
<div class="bar-value">10</div>
</div>
<div class="bar-row">
<div class="bar-label">Mostly Achieved</div>
<div class="bar-track"><div class="bar-fill" style="width:77.77777777777779%;background:#8b5cf6"></div></div>
<div class="bar-value">21</div>
</div>
<div class="bar-row">
<div class="bar-label">Fully Achieved</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#8b5cf6"></div></div>
<div class="bar-value">27</div>
</div>
<div class="bar-row">
<div class="bar-label">Unclear</div>
<div class="bar-track"><div class="bar-fill" style="width:14.814814814814813%;background:#8b5cf6"></div></div>
<div class="bar-value">4</div>
</div>
</div>
</div>
<h2 id="section-friction">Where Things Go Wrong</h2>
<p class="section-intro">Your heavy use of parallel agent swarms drives impressive throughput but introduces significant friction from timeouts, conflicting concurrent changes, and regressions that require repeated fix cycles.</p>
<div class="friction-categories">
<div class="friction-category">
<div class="friction-title">Parallel Swarm Coordination Failures</div>
<div class="friction-desc">You frequently spawn large numbers of parallel agents (20-100+), but concurrent workers often conflict with each other—overwriting commits, causing OOM kills, and leaving the codebase in a broken state. Consider smaller, sequenced batches or using a merge-coordination step between parallel workers to prevent conflicting changes.</div>
<ul class="friction-examples"><li>Your 20-agent Rust test reorganization resulted in 13/20 timeouts, OOM kills, and conflicting concurrent changes that left ~200+ compilation errors—far worse than the starting state</li><li>Parallel worker commits appeared lost or overwritten by concurrent agents during a button consistency audit, requiring investigation to confirm changes were actually present</li></ul>
</div>
<div class="friction-category">
<div class="friction-title">Swarm Fixes Introducing Regressions</div>
<div class="friction-desc">When you dispatch swarm workers for quick fixes, they often apply incomplete or incorrect changes that create new bugs, requiring multiple rounds of manual debugging. You could reduce this by scoping fix tasks more precisely and verifying changes before committing, rather than relying on a single worker to blindly patch files.</div>
<ul class="friction-examples"><li>A swarm worker dispatched to fix footer colors introduced a regression that turned the footer black in light mode, and the subsequent fix only addressed one file while missing others, requiring yet another round of corrections</li><li>The git TUI conversion via 25 parallel workers completed successfully on paper, but the generated code had a type error and an infinite re-render loop that required manual debugging before anything actually ran</li></ul>
</div>
<div class="friction-category">
<div class="friction-title">Ignored Context and Unrequested Changes</div>
<div class="friction-desc">Claude sometimes disregards documentation you've already provided or drifts into work you didn't ask for, wasting your time on corrections. You could mitigate this by referencing specific skill docs in your prompts and being explicit about scope boundaries.</div>
<ul class="friction-examples"><li>You had already provided skills documentation for the AI SDK and Vercel AI gateway, but Claude used the deprecated generateObject API and wrong gateway approach anyway, requiring you to correct it multiple times with visible frustration</li><li>After completing your requested CLAUDE.md file, Claude pivoted unprompted to changing page defaults—a feature change you never asked for in that session</li></ul>
</div>
</div>
<div class="charts-row">
<div class="chart-card">
<div class="chart-title">Primary Friction Types</div>
<div class="bar-row">
<div class="bar-label">Buggy Code</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#dc2626"></div></div>
<div class="bar-value">16</div>
</div>
<div class="bar-row">
<div class="bar-label">Wrong Approach</div>
<div class="bar-track"><div class="bar-fill" style="width:93.75%;background:#dc2626"></div></div>
<div class="bar-value">15</div>
</div>
<div class="bar-row">
<div class="bar-label">User Rejected Action</div>
<div class="bar-track"><div class="bar-fill" style="width:56.25%;background:#dc2626"></div></div>
<div class="bar-value">9</div>
</div>
<div class="bar-row">
<div class="bar-label">Misunderstood Request</div>
<div class="bar-track"><div class="bar-fill" style="width:31.25%;background:#dc2626"></div></div>
<div class="bar-value">5</div>
</div>
<div class="bar-row">
<div class="bar-label">Worker Failures</div>
<div class="bar-track"><div class="bar-fill" style="width:31.25%;background:#dc2626"></div></div>
<div class="bar-value">5</div>
</div>
<div class="bar-row">
<div class="bar-label">Infrastructure Errors</div>
<div class="bar-track"><div class="bar-fill" style="width:25%;background:#dc2626"></div></div>
<div class="bar-value">4</div>
</div>
</div>
<div class="chart-card">
<div class="chart-title">Inferred Satisfaction (model-estimated)</div>
<div class="bar-row">
<div class="bar-label">Frustrated</div>
<div class="bar-track"><div class="bar-fill" style="width:1.1494252873563218%;background:#eab308"></div></div>
<div class="bar-value">1</div>
</div>
<div class="bar-row">
<div class="bar-label">Dissatisfied</div>
<div class="bar-track"><div class="bar-fill" style="width:12.643678160919542%;background:#eab308"></div></div>
<div class="bar-value">11</div>
</div>
<div class="bar-row">
<div class="bar-label">Likely Satisfied</div>
<div class="bar-track"><div class="bar-fill" style="width:100%;background:#eab308"></div></div>
<div class="bar-value">87</div>
</div>
<div class="bar-row">
<div class="bar-label">Satisfied</div>
<div class="bar-track"><div class="bar-fill" style="width:2.2988505747126435%;background:#eab308"></div></div>
<div class="bar-value">2</div>
</div>
</div>
</div>
<h2 id="section-features">Existing CC Features to Try</h2>
<div class="claude-md-section">
<h3>Suggested CLAUDE.md Additions</h3>
<p style="font-size: 12px; color: #64748b; margin-bottom: 12px;">Just copy this into Claude Code to add it to your CLAUDE.md.</p>
<div class="claude-md-actions">
<button class="copy-all-btn" onclick="copyAllCheckedClaudeMd()">Copy All Checked</button>
</div>
<div class="claude-md-item">
<input type="checkbox" id="cmd-0" class="cmd-checkbox" checked data-text="Add under a new ## Parallel Work / Swarm section at the top level\n\nWhen spawning parallel codex-swarm workers, limit to 4-8 workers initially. Large swarms (20+) frequently cause timeouts, OOM kills, conflicting concurrent changes, and compilation errors. Scale up only after validating smaller batches.">
<label for="cmd-0">
<code class="cmd-code">When spawning parallel codex-swarm workers, limit to 4-8 workers initially. Large swarms (20+) frequently cause timeouts, OOM kills, conflicting concurrent changes, and compilation errors. Scale up only after validating smaller batches.</code>
<button class="copy-btn" onclick="copyCmdItem(0)">Copy</button>
</label>
<div class="cmd-why">Multiple sessions show 13/20, 18/50, and other large swarms failing due to timeouts, OOM, and conflicting changes — this was the single largest source of friction across all sessions.</div>
</div>
<div class="claude-md-item">
<input type="checkbox" id="cmd-1" class="cmd-checkbox" checked data-text="Add under ## Parallel Work / Swarm section, after the worker limit guidance\n\nAfter parallel swarm workers complete, always run a full build verification (`cargo check` for Rust, `tsc` for TypeScript) before committing, as concurrent workers frequently introduce conflicting changes.">
<label for="cmd-1">
<code class="cmd-code">After parallel swarm workers complete, always run a full build verification (`cargo check` for Rust, `tsc` for TypeScript) before committing, as concurrent workers frequently introduce conflicting changes.</code>
<button class="copy-btn" onclick="copyCmdItem(1)">Copy</button>
</label>
<div class="cmd-why">Sessions repeatedly showed swarm workers completing individually but leaving the combined codebase broken with hundreds of compilation errors requiring additional fix iterations.</div>
</div>
<div class="claude-md-item">
<input type="checkbox" id="cmd-2" class="cmd-checkbox" checked data-text="Add under a ## AI SDK &amp; Vercel section\n\nFor AI SDK usage: use the Vercel AI gateway, NOT deprecated `generateObject` API. Refer to project skills docs before implementing AI features. When in doubt, check `/skills/` directory for patterns.">
<label for="cmd-2">
<code class="cmd-code">For AI SDK usage: use the Vercel AI gateway, NOT deprecated `generateObject` API. Refer to project skills docs before implementing AI features. When in doubt, check `/skills/` directory for patterns.</code>
<button class="copy-btn" onclick="copyCmdItem(2)">Copy</button>
</label>
<div class="cmd-why">User had to correct Claude multiple times with frustration over deprecated API usage and wrong gateway approach despite skills docs being available in the project.</div>
</div>
<div class="claude-md-item">
<input type="checkbox" id="cmd-3" class="cmd-checkbox" checked data-text="Add under ## General Rules at the top of CLAUDE.md\n\nDo NOT make changes beyond what was explicitly requested. If you notice something that could be improved, mention it but do not implement it without user approval.">
<label for="cmd-3">
<code class="cmd-code">Do NOT make changes beyond what was explicitly requested. If you notice something that could be improved, mention it but do not implement it without user approval.</code>
<button class="copy-btn" onclick="copyCmdItem(3)">Copy</button>
</label>
<div class="cmd-why">Multiple sessions showed Claude pivoting to unrequested feature changes (e.g., changing page defaults) and excessive changes, leading to user rejections and dissatisfaction.</div>
</div>
<div class="claude-md-item">
<input type="checkbox" id="cmd-4" class="cmd-checkbox" checked data-text="Add under ## Build &amp; Verification section\n\nThis is a Rust + TypeScript project. For Rust: run `cargo check` and `cargo clippy` after changes. For TypeScript: run `tsc --noEmit` after changes. Always verify compilation before committing.">
<label for="cmd-4">
<code class="cmd-code">This is a Rust + TypeScript project. For Rust: run `cargo check` and `cargo clippy` after changes. For TypeScript: run `tsc --noEmit` after changes. Always verify compilation before committing.</code>
<button class="copy-btn" onclick="copyCmdItem(4)">Copy</button>
</label>
<div class="cmd-why">Rust (1445 tool uses) and TypeScript (1201 tool uses) dominate the codebase, and buggy_code (16 instances) was the top friction category — post-change verification would catch most issues.</div>
</div>
<div class="claude-md-item">
<input type="checkbox" id="cmd-5" class="cmd-checkbox" checked data-text="Add under ## Parallel Work / Swarm section\n\nWhen a swarm worker fails or times out, read its output/log files first before re-spawning. Narrow the scope of retried workers to reduce timeout risk.">
<label for="cmd-5">
<code class="cmd-code">When a swarm worker fails or times out, read its output/log files first before re-spawning. Narrow the scope of retried workers to reduce timeout risk.</code>
<button class="copy-btn" onclick="copyCmdItem(5)">Copy</button>
</label>
<div class="cmd-why">Claude was observed ignoring killed worker logs and trying to start fresh work instead, and multiple sessions required re-spawning with narrower scopes after timeouts.</div>
</div>
</div>
<p style="font-size: 13px; color: #64748b; margin-bottom: 12px;">Just copy this into Claude Code and it'll set it up for you.</p>
<div class="features-section">
<div class="feature-card">
<div class="feature-title">Hooks</div>
<div class="feature-oneliner">Auto-run build checks after code edits to catch errors before committing.</div>
<div class="feature-why"><strong>Why for you:</strong> Your #1 friction is buggy_code (16 instances) and wrong_approach (15 instances). Auto-running `cargo check` after Rust edits and `tsc --noEmit` after TypeScript edits would catch most of these before they compound — especially critical when parallel workers are making concurrent changes.</div>
<div class="feature-examples">
<div class="feature-example">
<div class="example-code-row">
<code class="example-code">// .claude/settings.json
{
&quot;hooks&quot;: {
&quot;postEdit&quot;: [
{
&quot;match&quot;: &quot;*.rs&quot;,
&quot;command&quot;: &quot;cargo check --quiet 2&gt;&amp;1 | head -20&quot;
},
{
&quot;match&quot;: &quot;*.ts|*.tsx&quot;,
&quot;command&quot;: &quot;npx tsc --noEmit --quiet 2&gt;&amp;1 | head -20&quot;
}
]
}
}</code>
<button class="copy-btn" onclick="copyText(this)">Copy</button>
</div>
</div>
</div>
</div>
<div class="feature-card">
<div class="feature-title">Custom Skills</div>
<div class="feature-oneliner">Define reusable /swarm, /audit, and /commit commands as markdown skill files.</div>
<div class="feature-why"><strong>Why for you:</strong> You frequently run the same patterns: spawning codex-swarm workers (25+ sessions), auditing codebases, and committing. Encoding your preferred swarm size limits, verification steps, and commit conventions into skills would prevent recurring issues like oversized swarms and missing post-build checks.</div>
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<code class="example-code"># .claude/skills/swarm/SKILL.md
## Codex Swarm Launch
1. Maximum 8 parallel workers per batch
2. Each worker gets a NARROW, specific scope (single file or module)
3. After all workers complete, run full build verification:
- Rust: `cargo check &amp;&amp; cargo clippy`
- TypeScript: `npx tsc --noEmit`
4. Fix any compilation errors before committing
5. Commit with message: &quot;swarm: &lt;summary of changes&gt;&quot;
6. If workers timeout, read their output logs before re-spawning with narrower scope</code>
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<div class="feature-card">
<div class="feature-title">Headless Mode</div>
<div class="feature-oneliner">Run non-interactive Claude commands for batch fixes and post-swarm cleanup.</div>
<div class="feature-why"><strong>Why for you:</strong> You spend significant time on post-swarm cleanup — fixing compilation errors left by parallel workers (499 errors in one session, 200+ in another). A headless script could automatically run fix passes after swarm completion without manual babysitting.</div>
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<code class="example-code"># Post-swarm auto-fix script (save as scripts/swarm-cleanup.sh)
#!/bin/bash
echo &quot;Running post-swarm compilation fix...&quot;
claude -p &quot;Run cargo check. Fix ALL compilation errors. Keep running cargo check until it passes clean. Do not change any business logic, only fix type errors, missing imports, and conflicting changes.&quot; --allowedTools &quot;Edit,Read,Bash,Grep&quot; --max-turns 30
echo &quot;Running clippy...&quot;
claude -p &quot;Run cargo clippy and fix all warnings&quot; --allowedTools &quot;Edit,Read,Bash&quot; --max-turns 15</code>
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<h2 id="section-patterns">New Ways to Use Claude Code</h2>
<p style="font-size: 13px; color: #64748b; margin-bottom: 12px;">Just copy this into Claude Code and it'll walk you through it.</p>
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<div class="pattern-title">Swarm Size Causing Cascading Failures</div>
<div class="pattern-summary">Reduce parallel worker count from 20-50+ to 4-8 per batch, then scale up after verification.</div>
<div class="pattern-detail">Your most ambitious sessions (20-100+ workers) consistently hit timeouts, OOM kills, and conflicting concurrent changes. The 20-worker test reorganization left hundreds of errors. The 50-worker audit had agent failures. Meanwhile, 4-8 worker sessions almost always succeeded cleanly. Batch your work: spawn 8, verify, commit, then spawn the next 8. The total wall-clock time will likely be similar since you won't spend hours fixing cascading failures.</div>
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<div class="prompt-label">Paste into Claude Code:</div>
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<code class="copyable-prompt">Spawn 6 parallel workers to handle these tasks. After all 6 complete, run cargo check to verify no conflicts before we continue with the next batch.</code>
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<div class="pattern-card">
<div class="pattern-title">Post-Change Verification Gap</div>
<div class="pattern-summary">Always request a build verification step between swarm completion and committing.</div>
<div class="pattern-detail">Across your sessions, the pattern is: spawn workers → workers complete → commit → discover build is broken → spend time fixing. The 'buggy_code' friction (16 instances) is your highest friction category. By inserting a mandatory verification step, you'd catch issues from parallel conflicts immediately. This is especially important for your Rust codebase where a single type error can cascade into hundreds of downstream errors.</div>
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<div class="prompt-label">Paste into Claude Code:</div>
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<code class="copyable-prompt">Before committing any changes, run cargo check and cargo clippy. If there are errors, fix them all. Then run cargo test. Only commit once everything passes clean.</code>
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<div class="pattern-title">Leverage Task Agents for Check-Task-Output Pattern</div>
<div class="pattern-summary">Your #1 goal is 'check_task_output' (25 sessions) — streamline this with a structured review prompt.</div>
<div class="pattern-detail">Nearly 40% of your analyzed sessions involve checking on spawned worker output. Instead of manually asking Claude to read each output file, use a structured prompt that reads all outputs, categorizes by success/failure, and surfaces only the items needing attention. This would significantly reduce the back-and-forth in your most common workflow and help you identify failed workers faster.</div>
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<div class="prompt-label">Paste into Claude Code:</div>
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<code class="copyable-prompt">Read all worker output files in the output directory. For each: report (1) worker name, (2) exit code, (3) one-line summary of what changed, (4) any errors. Group by: completed successfully, completed with warnings, failed/timed out. For failures, suggest a narrower re-spawn scope.</code>
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<h2 id="section-horizon">On the Horizon</h2>
<p class="section-intro">Your usage reveals a power user pushing the boundaries of parallel agent orchestration at scale — the next frontier is making these swarm workflows more resilient, self-correcting, and deeply integrated into your development loop.</p>
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<div class="horizon-title">Self-Healing Swarms With Test-Gated Merges</div>
<div class="horizon-possible">Your data shows 16 instances of buggy code friction and multiple swarm sessions where parallel agents introduced conflicting changes, OOM kills, or left hundreds of compilation errors. Imagine swarms where each agent runs in an isolated branch, validates against `cargo check` and `cargo test` before merging, and automatically retries with narrower scope on failure — turning your 50-agent runs from 'mostly achieved' to consistently fully achieved. The 25-worker Rust audit that reached 6,840 passing tests proves this is possible when the loop is tight enough.</div>
<div class="horizon-tip"><strong>Getting started:</strong> Build a swarm orchestrator wrapper (you already have phases.ts) that enforces a test-gate contract: each worker must pass compilation and relevant tests before its changes are accepted, with automatic rollback and retry on failure.</div>
<div class="pattern-prompt"><div class="prompt-label">Paste into Claude Code:</div><code>I want to build a test-gated swarm orchestrator for my Rust codebase. Here's what I need:
1. Each spawned worker gets its own git branch (worker-N) created from main before starting
2. After the worker completes, automatically run `cargo check` and `cargo test` on that branch
3. If tests pass, merge the branch into a staging branch using `git merge --no-ff`
4. If tests fail, capture the error output, create a new worker with the original task PLUS the error context, and retry (max 2 retries)
5. If merge conflicts occur, spawn a dedicated conflict-resolution worker with both diffs
6. After all workers complete, run the full test suite on the staging branch and report results
7. Only fast-forward main to staging if everything is green
Start by reading my existing phases.ts and codex-swarm implementation, then extend them with this test-gated merge pipeline. Create a new command `swarm-safe` that wraps this flow.</code><button class="copy-btn" onclick="copyText(this)">Copy</button></div>
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<div class="horizon-title">Continuous Audit-Fix Loop Until Green</div>
<div class="horizon-possible">You already run audit-then-fix patterns (50 agents to analyze, then 50 to implement — resulting in 19,799 lines changed), but friction data shows these often need manual intervention for pre-existing test failures and conflicting changes. An autonomous loop that audits, prioritizes issues by dependency order, fixes them sequentially or in safe parallel batches, and iterates until `cargo check &amp;&amp; cargo test &amp;&amp; cargo clippy` all pass with zero warnings would eliminate the back-and-forth. Your session achieving 6,840 green tests proves the endgame is reachable — it just needs to be a single command.</div>
<div class="horizon-tip"><strong>Getting started:</strong> Use Claude Code's Task/TaskList tools to create a structured pipeline that alternates between diagnostic and fix phases, tracking progress against a concrete quality gate like clean compilation and passing tests.</div>
<div class="pattern-prompt"><div class="prompt-label">Paste into Claude Code:</div><code>Build me an autonomous code quality convergence loop for my Rust project. The workflow should:
1. DIAGNOSE PHASE: Run `cargo check 2&gt;&amp;1`, `cargo test 2&gt;&amp;1`, and `cargo clippy 2&gt;&amp;1`, then parse all errors/warnings into a structured list with file, line, error code, and message
2. PRIORITIZE: Group issues by file, sort by dependency order (compilation errors before test failures before clippy warnings), identify which can be fixed in parallel (different files) vs must be sequential (same file)
3. FIX PHASE: Spawn workers for each parallel-safe batch. Each worker gets ONE file's issues with full error context. Workers must verify their fix compiles before finishing
4. VERIFY: After each batch completes, re-run the full diagnostic. Compare error count to previous iteration
5. ITERATE: If errors remain, go back to step 2 with the new error list. If error count hasn't decreased for 2 consecutive iterations, stop and report stuck issues
6. DONE: When all three commands exit clean, commit with a summary of what was fixed
Track iteration count, errors fixed per round, and total time. Start by running the diagnostic phase on my current codebase and show me the initial issue count before proceeding.</code><button class="copy-btn" onclick="copyText(this)">Copy</button></div>
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<div class="horizon-card">
<div class="horizon-title">Parallel Agent Workspace Isolation Protocol</div>
<div class="horizon-possible">Your biggest recurring pain point is parallel agents stepping on each other — 13/20 workers timing out from concurrent compilation conflicts, git stash/pop losing manual fixes, OOM from simultaneous builds, and commits being overwritten. With 295 sessions and heavy swarm usage, solving workspace isolation alone could recover dozens of hours. Each agent could work in a lightweight worktree or copy, build independently, and merge results through a coordinator — making 100-agent runs as reliable as single-agent sessions.</div>
<div class="horizon-tip"><strong>Getting started:</strong> Leverage `git worktree` to give each spawned agent its own isolated working directory and build target, then use a coordinator agent to merge results. This integrates with your existing Bash-heavy workflow (3,826 Bash calls).</div>
<div class="pattern-prompt"><div class="prompt-label">Paste into Claude Code:</div><code>I need a workspace isolation system for my parallel codex-swarm agents working on a Rust project. Design and implement:
1. SETUP: A `swarm-isolate` command that:
- Creates a `.swarm-workspaces/` directory
- For each worker N, runs `git worktree add .swarm-workspaces/worker-N -b swarm/worker-N` to give it an isolated checkout
- Sets `CARGO_TARGET_DIR=.swarm-workspaces/worker-N/target` per worker so builds don't conflict
- Generates a worker manifest JSON tracking worker ID, branch, worktree path, status
2. DISPATCH: Modify my codex-swarm spawning to `cd` each worker into its worktree before starting. Each worker commits to its own branch when done.
3. MERGE COORDINATOR: After all workers finish:
- Iterate through worker branches in dependency order
- Attempt `git merge --no-ff` each into a `swarm/combined` branch
- On conflict: show the conflict, attempt auto-resolution, or flag for manual review
- Run `cargo check` after each merge to catch integration issues early
4. CLEANUP: `git worktree remove` all worker trees, delete merged branches
Read my current codex-swarm implementation first, then build this as an extension. Test it by spawning 5 isolated workers that each modify a different file.</code><button class="copy-btn" onclick="copyText(this)">Copy</button></div>
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<div class="fun-ending">
<div class="fun-headline">"User spawned 100+ parallel AI agents that worked so hard they broke the git tool trying to manage all the changes"</div>
<div class="fun-detail">A user launched 108 parallel Codex agents to create and implement 104 improvement plans for a campaign. The agents all succeeded — but the resulting tsunami of commits and file changes was so massive that git-tui literally couldn't handle the git state anymore, crashing under the weight of its own AI-generated productivity.</div>
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