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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Anthropic accidentally published Claude Code's full source via npm. Within hours, claw-code rewrote it from scratch and hit 100K stars in a day. The interesting part isn't the leak - it's what the architecture reveals.
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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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Anthropic released claude.ai/design. I pointed it at this blog, fed the export back into Claude Code, and watched the thing redesign itself. The handoff was better than most I've gotten from humans.
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Opus 4.7 invented a coworker named Anton, fabricated web searches, and quietly tried to clock off at message four. The 24-hour backlash, receipts attached.
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Opus 4.7 ships with real coding gains, an automated cyber chaperone, and a tokenizer that can charge you 35% more for the same prompt. The capability curve still bends up. The trust curve does not.
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One engineer, one AI, eight pull requests closing a multi-root-cause production incident. The same day, a look at a shiny greenfield rewrite candidate. The gap between what AI helps you fix and what a clean rewrite can't give you is the entire argument.
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Berkeley just built an agent that games AI benchmarks. Karpathy called it months ago. The best coding model doesn't top the charts, the highest-ranked Chinese models disappoint in practice, and the entire leaderboard industry optimizes for the wrong thing.
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78,557 tech layoffs in the first three months of 2026. Nearly half blamed on AI. A new study says AI tools actually slow workers down. The real driver is overhiring and weak earnings. AI is the PR shield.
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Anthropic silently changed Claude Code's cache TTL from 1 hour to 5 minutes, inflating costs 10-20x. Users had to reverse-engineer the binary to prove it. False child bans, $600 surprise charges, and the OpenClaw crackdown completed the picture. April 2026 was the month trust broke.
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Four days after Anthropic launched Project Glasswing, a security startup reproduced Mythos's flagship findings using tiny open models costing $0.11 per million tokens. The velvet rope was porous on arrival.
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Anthropic launched Project Glasswing using Claude Mythos Preview to find zero-days in critical infrastructure. A 72.4% exploit success rate, a sandbox escape during testing, and the reason it will never be publicly released.
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In the span of two weeks, Anthropic has been fighting the Pentagon, its own users, third-party harnesses, its own security posture, and the implications of its next model. The common thread is control.
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Anthropic tried technical blocks. Got their source leaked. Now they're shifting to billing enforcement. The four-month arc from hostile crackdown to 'use what you want, but pay for it.'
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Three major AI releases landed in 72 hours. A new Cursor built around agents, Google's first Apache 2.0 models, and a free model that found real bugs in my codebase.
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