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GitHub Copilot CLI

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Headlines · 4

  1. Superpowers, an agentic skills framework for coding agents, trends on GitHub

    Superpowers is an open-source (MIT) agentic skills framework and software development methodology from Jesse Vincent and the team at Prime Radiant. Once installed, it auto-triggers a set of composable skills: the agent draws out the user's real intent, produces a design document and a bite-sized implementation plan, then dispatches subagents to implement and review each task, emphasizing test-driven development, YAGNI and DRY. It must be installed separately per harness and supports Claude Code, Codex CLI, Cursor, Gemini CLI, GitHub Copilot CLI, OpenCode, Qwen Code, Kimi Code and others, with official plugin-marketplace listings for Claude Code and Codex.

    GitHub Trending（每日） · 🔥 7
  2. Microsoft study: clearing chat history helps AI research agents find better solutions

    A Microsoft Research study finds that long-running AI research agents plateau because accumulated conversation context traps them in narrow "idea basins" within the solution space. In eight independent runs of the same agent on the same task, final scores ranged from 68.3 to 100.0, and the gaps persisted even with substantially more compute. The proposed Fork-and-Flush method splits the agent into parallel branches that inherit the workspace and files but lose all chat context; across 13 long-running tasks (including polyomino packing, job-shop scheduling and cryptanalysis) it reached a min-max-normalized average score of 0.78 versus 0.47 for single runs and 0.54 for best-of-4 — relative gains of 66.0% and 44.4% — with normalized standard deviation falling from 0.26 to 0.16. Flushing context without branching alone still improved results by about 22%; the agents used GPT-5.6-terra and GPT-5.5 through the GitHub Copilot CLI, with individual runs lasting hours to over 100 hours.

    The Decoder · 🔥 0
  3. Context Mode: an MCP server claiming 98% context savings for coding agents

    Context Mode is an MCP server that aims to keep raw tool output out of a coding agent's context window, claiming it can shrink 315 KB of data to 5.4 KB (roughly a 98% reduction) by sandboxing tool results. It persists session state — file edits, git operations, tasks, errors and user decisions — in SQLite, indexes events into FTS5 and retrieves only relevant items via BM25 search so a model can resume after a conversation compaction; without --continue, previous session data is deleted. The project says it supports 17 clients including Claude Code (installed via its plugin marketplace), Gemini CLI, VS Code and JetBrains Copilot, and GitHub Copilot CLI, plus an OpenClaw gateway integration, using hooks and 11 MCP tools for routing. It also pushes the "think in code" pattern — one script instead of many reads (it cites 47 Read calls ≈700 KB versus one ctx_execute ≈3.6 KB) — and says it deliberately avoids enforcing output brevity because aggressive brevity prompts have been reported to hurt coding and reasoning benchmarks (it cites Moonshot AI on kimi-k2.5). All quantitative savings figures are the project's own claims without independent verification.

    GitHub Trending（每日） · 🔥 0
  4. Uber open-sources ADR agentic AI detection and response system

    Uber has open-sourced ADR (Agentic AI Detection and Response), an enterprise security system for AI agents that is deployed in production at the company. The repository includes ADR Discovery, ADR Sensor, ADR-Bench and ADR Detector, which inventory AI apps, CLI agents, IDE extensions, local model runtimes and MCP servers on endpoints, and capture agent intent, tool use and execution traces from 7+ coding tools including Claude Code, Cursor, Codex, GitHub Copilot CLI, DeepSeek Harness, opencode, Claude Desktop and Gemini CLI. The project says ADR-Bench spans 304 tasks and 134 MCP servers across all 17 agent attack techniques; the ADR Prevention component and the ADR Explorer engine are not part of the open-source release, and an accompanying paper was accepted to MLSys 2026.

    GitHub Trending · Python · 🔥 0

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