developer productivity

Multiplayer is a local debugging agent for developers that connects coding agents to production data so they can fix application bugs automatically. The site highlights runtime debugging, issue deduplication, and integrations with tools like Claude Code, Codex, and Copilot.

A field study on AI coding agents showing that a large share of token spend comes from re-reading files, with data from 47 sessions and discussion of memory-layer fixes.

A proof-of-concept for coordinating multiple Claude Code chats through a shared append-only file, with an orchestrator/worker setup and task flow examples in the README.

Turns Mermaid diagrams into deterministic explanatory text for coding agents, with benchmark evidence and multiple install/use paths shown on the page.

Foyer is a local dashboard for watching AI coding agents work, with a narrated current-focus view and a research panel for reading sourced briefings while you wait.

An Emacs package that acts like an AI pair programmer and teaching assistant while you code, with save-time reviews, follow-up questions, and architecture memory for local projects.

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 modular Neovim configuration repo with 80+ plugins, lazy-loaded setup, LSP integration, and platform-specific customization for macOS, Linux, and Windows.

A custom Claude Code status line script that shows workspace, model, session, context usage, token totals, code churn, and 5-hour/7-day rate-limit runway in two colored rows.

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.

Anthropic research report on how people use Claude Code in practice, based on a large privacy-preserving analysis of session data. It covers task types, division of labor between user and model, and how domain expertise affects outcomes.

A shareable report for AI coding usage that summarizes how you work with tools like Claude Code, Codex, and Cursor, with sign-in via GitHub and an option to get printed copies.

A Claude Code stop hook that detects negative feedback in the conversation transcript and plays a random local sound from a folder, with a fallback voice prompt if no sound files are present.