Fetching from the wire…
Agents2026-09-17 · source-backed
arXiv 2609.17698 read documentation, source, config and tests across 157 LLM-agent projects with 100+ stars. Coverage fragments in a specific, checkable way: a guard on the direct tool call and nothing on the shell that reaches the same effect, tests that rarely exercise boundary or multi-step tool-use failures, risks named in a project's own docs that never become end-to-end checks. The audit that follows from this is mechanical. Enumerate every route to a consequential action (direct tool call, code execution, shell, an MCP server exposing the same capability) and confirm the guard is on all of them.
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Eighteen days. That's how long you have. The 2026-07-28 MCP specification release candidate removes the session concept from the protocol layer entirely. The initialize / initialized handshake is gone. The Mcp-Session-Id header is gone. Protocol version, client identity, and c...
| # | Skill | Domain | Difficulty | |---|-------|--------|------------| | 1 | Claude Code /simplify + /batch — three-agent parallel review + codebase migrations | vibe-coding | intermediate | | 2 | Pipelock agent firewall — 9-layer DLP + MCP scanning inline proxy | agent-secur...
BlueRock scanned over 7,000 MCP servers against 22-plus security rules. 36.7% carry potential server-side request forgery exposure from unrestricted outbound fetch, and 42% handle credentials insecurely. Their worked example is Microsoft's 85K-star Markitdown MCP server and it...
OpenAI Devs announced on August 26 that WebMCP works in the ChatGPT desktop app's built-in browser and in ChatGPT Sites, so ChatGPT and Codex can call a site's declared tools directly. WebMCP is an experimental web standard adding navigator.modelContext to the browser, letting...
Stripe published Part 2 of its Minions engineering blog, and it's the most detailed production agent architecture I've read from any company this year. The numbers alone are worth the read: 1,300+ weekly merged PRs from coding agents. But the architecture decisions matter more...
1. Flip your multi-model pipeline to review-then-generate. Instead of using a reasoning model to plan before code generation, let the specialist generate freely and use reasoning tokens for review. Paper shows 90.2% pass@1 vs 87.2% for the planning pattern. Source 2. Audit you...
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