Claude Code can now watch your PRs in the cloud, fix CI failures, and address reviewer comments while you're away. It's the logical next step after auto mode - and it raises the same trust questions, harder.
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From 20 lines of shell to production apps. Anthropic renamed Claude Code SDK to Agent SDK because deep research is now a first-class use case.
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The official Claude Code plugin that lets agents work autonomously for hours. When to use it, when not to, and the philosophy behind letting AI fail repeatedly until it succeeds.
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Ghostty left after 18 years. Zig, cURL, and Godot are reducing reliance. 48 major outages in a year, no CEO since August, reporting into the Core AI team. Centralising the world's code was a bet on stewardship. The steward stopped showing up.
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A community file distilling Karpathy's coding-agent observations hit 60K stars on four principles. I opened my own CLAUDE.md to compare. I'd independently written two of them. The two I hadn't are the ones that matter most.
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Project Glasswing found 10,000+ critical vulnerabilities at 90.6% accuracy. Mozilla had to patch 271 of them in Firefox by hand. Finding collapsed to near-free. Fixing didn't move. The bottleneck just walked downstream.
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On June 15, Anthropic moves claude -p, the Agent SDK, and GitHub Actions off the subscription onto metered credits. The last place automation rode free is closing. The flat seat was always a bet that you'd code at human speed.
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Creation runs at machine speed. Release engineering does not. GitHub agent-authored PRs went from 4M to 17M in six months. The bottleneck moved from review to release.
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Most agent discourse is about coding agents. The agents quietly running in production right now are simpler, dumber, and more useful: stale-ticket sweepers, board monitors, three-line incident explainers, leadership briefs from a fixed template. Different species. Different shape. Already shipping.
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OpenAI publishes weekly active developers. Anthropic publishes annual recurring revenue. Each company brags about the metric it can defend. Codex went 600K to 4M in four months. The 'Claude Code is better' discourse is a quality argument because quality is what's left when scale goes the other way.
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Opus 4.5 scores 80.9% on SWE-bench Verified. The same model scores 45.89% on the contamination-free Pro split. OpenAI has quietly stopped reporting Verified at all. Vendor benchmark cards are marketing.
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Lightrun: 43% of AI-generated code changes need debugging in production after passing QA. CodeRabbit: 1.7x bugs, 2.74x security, 8x I/O. METR: 19% slower while feeling 20% faster. The numerator is what gets reported. The denominator is what nobody puts in the deck.
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GitHub paused Copilot Pro signups, killed Opus on the Pro plan, and leaked a June 1 move to token-based billing. Three vendors, one event, three different ways not to say 'price hike.'
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Anthropic markets MCP as the universal AI tooling standard, but a 200,000-server RCE class is 'expected behavior.' You can't be both.
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Two weeks after Anthropic said Mythos was too dangerous to release, OpenAI shipped a model with comparable cyber capabilities to anyone with a $20 ChatGPT subscription. The gating posture didn't survive a single news cycle.
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