The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Pilot Shell
Professional context and harness engineering for Claude Code and OpenAI Codex. Build production-grade software with spec-driven development, TDD, persistent memory, quality…
Install
git clone https://github.com/maxritter/pilot-shellInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →How real engineers run Claude Code and Codex
Professional context and harness engineering around the coding agents you already use. Persistent knowledge. Enforced quality. Runtime proof.
Install • Features • Docs • Blog • Website • Changelog
curl -fsSL https://raw.githubusercontent.com/maxritter/pilot-shell/main/install.sh | bash
macOS · Linux · Windows (WSL2) — installs in under 2 minutes.
[!TIP] Pilot's open design companion: Open Claude Design connects Claude Design to the coding agent you already use, with codebase-grounded creation and conflict-aware synchronization. Pilot installs it together with Impeccable, so product context, visual iteration, deterministic checks, and engineering verification work as one design layer.
Why Pilot Shell
Claude Code and Codex CLI write code fast — but production-grade software still needs durable context, disciplined implementation, quality control, and proof that the finished system works.
Pilot Shell is a professional context and harness engineering system—not a collection of rules and skills. It coordinates the complete engineering process around the model:
- Quality on every layer — hooks, stop guards, independent reviews, full test/build gates, and browser or device verification prevent “looks done” handoffs
- Persistent context — relevant source, architecture, project standards, prior decisions, and session state survive long work and compaction, with useful findings remembered automatically across Claude Code and Codex
- Professional toolchain — Semble, CodeGraph, ast-grep, language servers, browser automation, and MCP integrations support discovery, structural search, impact analysis, implementation, and runtime proof
- Runtime verification — tests, builds, real CLI/API execution, browser automation, and device checks turn completion claims into evidence
- Human control plane — the Console connects plan and diff review, annotations, progress, evidence, session recovery, shared project knowledge, and usage
- Workflow neutrality — direct requests, native Plan/Goal tools, and Pilot workflows are peer ways to work inside the same harness
- Structured delivery when wanted —
/spec,/build,/fix, and/prdadd durable artifacts and explicit lifecycle contracts without becoming routing rules for ordinary requests - One system for Claude Code and Codex — platform-specific adapters preserve one engineering standard while the underlying models continue to improve
Rules, skills, and persistent memory are coordinated parts of this harness. They supply context; they are not the product by themselves. For a longer practitioner’s explanation, read How to build production-ready software assisted with AI tools.
Getting Started
Prerequisites
At least one AI agent: Pilot Shell supports Claude Code (primary — full feature coverage) and Codex through Codex CLI or the ChatGPT desktop app (all workflows, fewer platform features). Install at least one before running the Pilot installer:
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