AI Coding Agents

Mission control for AI coding agents, letting users run, watch, resume, and orchestrate tools like Claude Code, Codex, Copilot, and opencode from one terminal and live dashboard.

Cloud cost awareness for AI coding agents and IDEs, with real-time pricing for IaC changes, cost tradeoff suggestions, tagging fixes, and policy-aware guardrails.

Murmell is a cloud canvas for running multiple AI coding agents together on one shared project. It supports tools like Claude Code, Codex, Kimi, and OpenCode, with file reservations to reduce collisions and live collaboration for teams.

Cadre is a local-first Kanban board for orchestrating coding agents, including Claude Code, Codex, Grok, Opencode, and OpenAI-compatible setups. It routes tasks, handles blockers and approvals, and keeps agent runs, diffs, and command control in one workspace.

A non-destructive compression gateway for AI coding agents that sits between the agent and the LLM API to reduce token usage while keeping original content recoverable on demand.

Grith is an OS-level security supervisor for AI coding agents on Linux. It intercepts syscalls, scores risky actions, pauses ambiguous ones for human review, and can deny dangerous calls before they run.

Shikigami is a desktop agentic IDE for running multiple coding agents in parallel, each in its own isolated git worktree. It supports Claude Code and OpenAI Codex, keeps sessions resumable, and includes built-in review tools like an editor, terminals, source control, databases, and Docker.

Local guardrails for AI coding agents that intercept destructive actions before they execute, now extended to Git hooks for commit and push enforcement.

Athena is a local desktop control room for AI coding agents. It combines embedded terminals, session history, shared project context, recall handoffs, and MCP-based control for tools like Codex, OpenCode, Claude Code, and Hermes.

Meetless is a control layer for AI coding agents that captures decisions from live coding sessions, flags stale or conflicting instructions, and injects approved context before the agent acts. It’s built for solo developers and teams using Claude Code and Codex.

Shared, append-only memory for AI coding agents. Vera lets Claude, local models, and Codex read and write the same numbered memory log so projects can continue across sessions.

Local-first code intelligence MCP for AI coding agents. It gives tools like Claude, Cursor, Codex, and other MCP-compatible agents an indexed evidence layer for repo search, symbol lookup, impact analysis, and test selection before editing code.

A local MCP server that builds a deterministic architecture graph of a codebase so AI coding agents can inspect modules, symbols, routes, dependencies, and cross-repo relationships from source-backed facts.

A plugin for recording AI coding agent activity in a tamper-evident local audit trail. It stores sessions, tool calls, prompts, and integrity checkpoints in SQLite and exposes CLI and UI views for status, reports, anomalies, spend, inventory, exports, and proof verification.

Offline duplicate-code detector for codebases where AI agents write most of the code. It scans for structurally duplicated functions, tracks duplication over git history, and can fail CI when new code repeats existing logic.

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 structured guide to 925 developer tools for AI coding agents, with use-when/avoid-when logic, alternatives, constraints, and health metrics.

An open-source enforcement layer for AI coding agents that adds frozen specs, tamper-detected tests, independent verification, and hard-blocking gates so unverified work cannot pass.

Mouse is a precision file-editing tool for AI coding agents. It adds coordinate-based editing, staged changes with atomic rollback, and richer tool responses to help agents make safer file edits.

An agent skill for starting or extending Django projects, with ready-made scaffolding, stack choices, and safeguards for common production pieces like auth, jobs, Redis, email, and deploy setup.

StackNudge is an open-source notification tool for AI coding agents. It adds banners and sounds when supported agents finish a task or pause for approval, with macOS support for a native panel and click-to-focus behavior.

A MotherDuck blog interview with Wes McKinney on practical AI coding workflows, including spec-driven development, continuous AI code review, and how to keep agent-generated code maintainable.

A long-form essay about why AI coding software factories break down, with discussion of harness engineering, benchmark limits, and safer ways to use coding agents.

A detailed write-up about using AI coding agents to build and tune a Rust multi-Paxos consensus engine, with concrete notes on contracts, spec-driven development, testing, and performance work.