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MiniMax open-sources MCode Stack, the skills and checklists its coding-agent team uses daily

Released this week under MIT, the repo packages the MiniMax Code team's SKILL.md skills for things like subagent split checks, small PRs, clean context diff review, context and tool budget audits, and long session handoffs, and it doubles as a plugin marketplace you can add from Claude Code. Most skills work in any agent that reads SKILL.md , though six engineering skills adapted from Google's practices stay under CC BY 3.0…

Infini-AI-Lab's Hermit trains a plug-in 'harness adapter' for Codex and Claude Code without touching the model

Released Oct 25 under Apache 2.0 ( pip install hermit harness ), Hermit runs an RL style loop that evolves an external adapter of instructions, skills, memory and tools while the model and harness stay frozen, then deploys it to Codex, Claude Code or Pi or exports it as a native plugin. Its best reported result is 0.795 on CL Bench database exploration versus a 0.580 in context baseline, but the numbers are self reported, mostly single runs, all on GLM 5.3 Flash…

MarkTechPost

Official MCP servers v2.2.0 ships fixes and asks npx users to patch Node after the eMudhra CA key leak

Released Oct 28, it publishes new filesystem, everything, memory, fetch, git and time packages and moves the fetch Docker image to certifi 2026.10.23, which drops two eMudhra roots after the CA's Oct 20 key disclosure. The TypeScript servers trust your own Node.js, so run 24.22.1 or 26.12.1+ (npm won't warn you), and refresh older fetch installs with uvx refresh mcp server fetch…

Replit's ViBench 2.0 has agents build whole products from scratch, and the best pass only 49-65% of builds

Released Oct 28, the benchmark starts each agent on an empty project and has it build one of 17 products (modeled on apps like Uber, GitHub and Google Docs) and then add up to 18 features on its own code, graded by 544 browser test plans; GPT 6.1 Sol, GPT 6 Astra and Opus 5.5 passed every plan in only 49 65% of builds. Eight products are public on GitHub, and results sit on Fireworks' leaderboard, where no open weight model passed a full build…

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