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article 4 storys calendar_today First seen: 2026-01-06 update Last seen: 2026-02-17 open_in_new Website menu_book Wikipedia

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Custom Copilot agents, IDE arenas, and terminal control planes

AI agent tooling for developers is maturing with customizable Copilot skills, IDE-based model comparisons, and terminal-first control planes, while new research warns multi-agent setups often hurt results. GitHub now documents how to tailor the Copilot CLI and coding agent with project-specific instructions, hooks, and skills, enabling targeted automation for repo chores, build/test flows, and shell tasks directly from your terminal or VS Code Insiders agent mode ([customize Copilot CLI](https://docs.github.com/en/copilot/how-tos/copilot-cli/customize-copilot), [create agent skills](https://docs.github.com/copilot/how-tos/use-copilot-agents/coding-agent/create-skills)). In parallel, IDE workflows are adding native model evaluation and task skills: Windsurf’s terminal and test-generation capabilities are backed by docs and guides, and its recent “Arena Mode” for side-by-side model comparisons surfaced in industry coverage ([terminal guide](https://docs.windsurf.ai/features/terminal), [AI command assistance](https://docs.windsurf.ai/cascade/terminal), [test generation](https://docs.windsurf.ai/features/test-generation), [InfoQ LLMs page](https://www.infoq.com/llms/news/)). Agent orchestration is shifting to the command line as well: Cline CLI 2.0 positions the terminal as an AI agent control plane for multi-file refactors and scripted operations ([DevOps.com](https://devops.com/cline-cli-2-0-turns-your-terminal-into-an-ai-agent-control-plane/)). But a new Google Research study summarized by InfoQ reports that scaling to multiple cooperating agents does not reliably improve outcomes and can reduce performance, so start with single-agent flows and measure before adding complexity ([InfoQ LLMs page](https://www.infoq.com/llms/news/)). Early experiments like xAI’s Grok Build with parallel agents and arena-style evaluation point to where this is heading, but details remain in flux ([TestingCatalog](https://www.testingcatalog.com/xai-tests-parralel-agents-and-arena-mode-for-grok-build/)).

calendar_today 2026-02-17
github-copilot github-copilot-cli visual-studio-code-insiders windsurf cascade

AI VS Code forks can prompt nonexistent Open VSX extensions

AI-powered VS Code forks (Cursor, Windsurf, Google Antigravity, Trae) inherit extension recommendations from Microsoft’s marketplace, but some recommended extension names don’t exist in Open VSX, the registry these forks rely on. This gaps creates a name-squatting avenue where attackers could publish malicious packages under those names; prompts can be file-based or software-based, increasing exposure.

calendar_today 2026-01-06
cursor windsurf open-vsx visual-studio-code supply-chain-security

AI IDE forks exposed by OpenVSX namespace hijack in built-in extension recommendations

Koi found that popular AI IDEs forked from VS Code (Cursor, Windsurf, Google Antigravity, Trae) inherit hardcoded extension recommendations that point to Microsoft’s marketplace, but those extensions don’t always exist on OpenVSX (the registry these IDEs actually use). Unclaimed namespaces on OpenVSX could be registered by attackers to ship malicious lookalike extensions that the IDE proactively recommends based on files or installed software. Koi preemptively claimed several risky namespaces (e.g., PostgreSQL, Azure Pipelines, ARM tools) with placeholder packages to reduce immediate risk.

calendar_today 2026-01-06
cursor windsurf openvsx vscode supply-chain-security