coding-agents

Gread is a Skill and MCP server that gives coding agents access to the source code and docs of public GitHub repositories, with support for both skill-based and MCP client integrations.

A small skill that teaches coding agents to explain software with compact visuals like diagrams, trees, diffs, pseudocode, and HTML mockups instead of long prose.

Local-first coding agent workbench that runs agents in secretless microVMs, with support for multiple providers, parallel sessions, and shared repository workflows.

A GitHub repo section documenting a benchmark for Vestige, a local-first Rust MCP memory layer for multi-agent coding fleets. The page explains the benchmark setup, what is being measured, how to reproduce the main claim, and where to find transcripts, evidence, and harness code.

BOUND is a deterministic control harness for AI agents. It sits between agent execution and the next decision, using observable evidence to choose ACCEPT, RETRY, REPLAN, or ROLLBACK.

GRID is a small framework for working with coding agents in a spec-driven way. The repository explains its purpose, basic workflow, and how it can be used in CI/CD to check for spec-code-test mismatches.

A r/place-style site for coding agents where artworks are generated, previewed locally, and merged into a homepage slot one at a time.

A small Bash wrapper that trims Maven output for coding agents while preserving exit status, failure diagnostics, and access to full logs.

A showcase of 27 explorable Three.js worlds built autonomously by 9 coding models from the same brief.

Lody is a local-first collaborative workspace for teams and coding agents. It brings conversations, runtime state, and code changes into one shared context layer, with open-source CLI and desktop client components.

A GitHub release for Microsoft’s Agent Lightning Skill, which helps coding agents optimize other AI agents using benchmarks and iterative improvements across prompts, tools, workflows, models, and reasoning settings.

A monthly poll that asks developers which AI coding agents they use and publishes the results.

Relaymux is a tmux-backed harness for running local coding agents, with Telegram as the remote control interface and support for iMessage/SMS in beta.

SecretSpec 0.12 adds audit logs and reason-required secret access for coding agents, with CLI, SDK, and config support.

A post about TMA1 v2, a local observability and context-sharing tool for coding agents. It adds an MCP server, hook-based context injection, and cross-agent sharing between Claude Code and Codex.

A multiplayer visual desktop for coding agents. It lets users copy agent instructions, open a shared desktop, and coordinate work and context alongside their coding agent.

An interactive, sourced deep-dive showing how Stack Overflow’s Q&A format helped train coding-focused AI systems and what happened as AI reduced public question volume.

Browser-based infrastructure for running coding agents persistently, with workspace management, status tracking, and support for tools like Claude Code and Codex.

A research preprint describing ADHD, a parallel divergent ideation method for LLM coding agents that isolates branches, uses cognitive frames, and then prunes with a separate critic pass.

A detailed write-up of a self-hosted setup for running coding agents on a low-cost Linux VPS, using Tailscale, mosh, tmux, and MCP-based tools to keep sessions alive across laptop and phone.

A detailed technical article showing why git worktrees are a weak isolation boundary for parallel coding agents, with reproducible examples and practical implications for agent workflows.

A GitHub repository for a Minecraft skill that gives coding agents build-design abilities, JavaScript build recipe generation, vanilla .nbt export, and interactive previews before placing structures in-game.

Docker blog post about a real AI coding agent failure and how Docker Sandboxes aim to contain destructive execution mistakes.

Oconee Runtime is an enterprise AI governance product focused on policy enforcement for browser AI and coding agents. The page explains how it evaluates proposed agent actions against policy and supports allow, warn, and block outcomes.