github-copilot

Agenttik is a local workspace for running AI coding sessions across multiple projects. It supports Claude Code, Codex, GitHub Copilot, and OpenCode Go, with desktop and web usage, project workspaces, recurring tasks, remote connections, and local/private profiles.

A local tool that estimates GitHub Copilot AI-credit costs from usage data and generates an HTML report. It pulls from VS Code, OpenCode, Pi, Copilot CLI, and Copilot for Xcode, with CLI options for date ranges, model mapping, and JSON output.

An AI agent skill that scans and clears developer junk like node_modules, build outputs, browser caches, and temp files across common agent environments.

A Copilot skill suite that enforces structured coding workflows for AI-assisted development, with design, planning, TDD, debugging, verification, and cleanup steps plus a live task-graph visualization server.

A VS Code blog post explaining how GitHub Copilot’s agentic harness is being optimized to reduce token usage, latency, and cost through extended prompt caching, tool search, and WebSocket connections.

A GitHub Copilot port of Anthropic’s vulnerability discovery harness, with Copilot skills for threat modeling, scanning, triage, patching, and an autonomous sandboxed pipeline for C/C++ memory-safety bug discovery and remediation.

GitHub Blog article on reducing token usage and API cost in agentic coding workflows, including logging token usage, removing unused MCP tools, replacing GitHub MCP with GitHub CLI, and measuring efficiency gains.

A GitHub engineering article describing how the Copilot team ported a large production runtime to Rust with Copilot’s help, including the migration strategy, interop, caching, static analysis, and model selection.

GitHub’s research preview on multi-model orchestration for coding tasks. The page describes adaptive workflow selection and includes benchmark comparisons against the Opus 5 baseline with estimated cost reduction claims.

A Microsoft Research paper PDF on agentic coding and GitHub Copilot at production scale. The crawl confirms it is a substantive research document tied to an AI coding product and suitable for a public listing.