
Anthropic's Project Glasswing update is a useful signal for developer teams: AI can find vulnerability candidates faster than humans can verify, disclose, patch, and ship them.
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Before an AI agent gets tools, files, APIs, MCP servers, or deployment access, decide what it can read, write, call, log, and roll back.

Anthropic's Project Glasswing update is a useful signal for developer teams: AI can find vulnerability candidates faster than humans can verify, disclose, patch, and ship them.

Runtime's Launch HN thread is a useful signal: teams do not just want isolated coding agents. They want a control plane for approvals, secrets, telemetry, review, and merge policy.

GitHub trending is full of agent skill registries. The winning pattern is not more prompts. It is dependency governance for the instructions your coding agents inherit.

Claude Code's newer plugin URL and hard-deny controls are small release-note items with a big implication: agent extensions now need supply-chain discipline.

The TanStack npm incident was not just a package-security story. It was a reminder that AI agent workflows inherit every weak trust boundary in CI.

OpenAI's May 8 macOS certificate rotation for ChatGPT, Codex, Codex CLI, and Atlas is not just a one-off update. It is a useful test of how your team governs AI developer tools.

Manual approval prompts stop protecting users when coding agents ask too often. The better pattern is risk-aware autonomy: safe defaults, narrow deny rules, and approvals only for meaningful changes.

Microsoft's lib0xc landed on Hacker News with a practical message: safer systems code often means better C APIs, warnings, bounds checks, and incremental adoption, not a heroic rewrite.

OpenAI's Codex Security agent reviews app code for vulns. Here is what it caught and missed on three real production repos.
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