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Switchyard

Switchyard is a local Python CLI that makes an existing Claude Code + Codex handoff workflow executable: one command advances the right agent through the right step, writes durable artifacts, and stops at defined gates. It does not invent a new SDLC or run an uncontrolled agent swarm.

Quick Start

1. Prerequisites

  • Python 3.13+ (python --version)
  • Node.js (LTS) — both agent CLIs ship via npm (node --version)
  • Codex CLInpm install -g @openai/codex, then codex login
  • Claude Code CLInpm install -g @anthropic-ai/claude-code, then claude login

The standalone CLIs are separate from the VS Code extensions; Switchyard shells out to the CLIs. Confirm both run non-interactively before using Switchyard:

codex exec "say hi"
claude -p "say hi"

2. Install

From the repo root:

pip install -e .

This registers the switchyard command on your PATH. The install is editable, so changes to the source take effect immediately — you only re-run this on a new machine or virtualenv.

3. Run it in any repo

cd <target-repo>
switchyard run "<task>"
  • The current directory is the target repo by default; use --repo <path> to point at a repo from elsewhere.
  • Cap review rounds with --max-rounds N (default 3).
  • Artifacts are written under the target repo's .switchyard/ directory — add .switchyard/ to that repo's .gitignore if you don't want them tracked.
  • The run stops at a finished plan (final-plan.md) or a blocked-report.md. It does not modify code, run tests, or commit.

What Switchyard Does

switchyard run executes a bounded planning loop:

task packet
-> Claude authors a plan
-> Codex reviews it against the repo and decides (approved / needs_revision / blocked)
needs_revision -> Claude refines -> Codex reviews again
-> until approved, blocked, or max rounds
-> final-plan.md (approved) or blocked-report.md

Roles differ by phase:

  • Planning (implemented): Claude authors and refines the plan; Codex reviews it against the repo and owns the approve/revise/block decision.
  • Implementation (future, Phase 3+): Codex implements the approved plan; Claude reviews the diff.

Files are the source of truth: the full audit trail is .switchyard/runs/<run-id>/, and the latest artifacts are mirrored to .switchyard/handoff/active/ (cleared at the start of each run).

Commands

Planning loop (implemented):

switchyard run "<task>" [--repo <target-repo>] [--max-rounds N]
-> .switchyard/runs/<run-id>/
metadata.json
01-task-packet.md
02-claude-plan-round-1.md
03-codex-review-round-1.md
... # more rounds only if needs_revision
final-plan.md | blocked-report.md

Adapter spike (Phase 0 probe):

switchyard spike-adapters "<problem statement>"
-> runs/<run-id>/
00-task-packet.md
01-codex-plan.md
02-claude-review.md
adapter-notes.md

Neither command implements code, runs tests, commits, pushes, or opens PRs.

Current Status

Implemented and verified: the Phase 0 adapter spike and the bounded planning loop (Phases 1 + 2a + 2b). The next build target is Phase 3 — Codex implements an approved final-plan.md on a Switchyard branch with a git boundary and test execution — followed by Phase 4, Claude final diff review.

Documentation Map

Design Principle

Switchyard keeps the core boring and reliable:

files as source of truth
metadata as workflow state
agent lanes behind adapters
bounded loops
explicit stop conditions
git as containment
human approval for risky transitions

That stable core can later support API-token adapters, concurrent runs, dashboards, PR automation, or additional model lanes without discarding the initial CLI work.

About

Local Python CLI that automates a Claude Code + Codex planning loop — Claude drafts the plan, Codex reviews it against the repo, looping until approved, blocked, or out of rounds.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Switchyard

Switchyard is a local Python CLI that makes an existing Claude Code + Codex handoff workflow executable: one command advances the right agent through the right step, writes durable artifacts, and stops at defined gates. It does not invent a new SDLC or run an uncontrolled agent swarm.

Quick Start

1. Prerequisites

  • Python 3.13+ (python --version)
  • Node.js (LTS) — both agent CLIs ship via npm (node --version)
  • Codex CLInpm install -g @openai/codex, then codex login
  • Claude Code CLInpm install -g @anthropic-ai/claude-code, then claude login

The standalone CLIs are separate from the VS Code extensions; Switchyard shells out to the CLIs. Confirm both run non-interactively before using Switchyard:

codex exec "say hi"
claude -p "say hi"

2. Install

From the repo root:

pip install -e .

This registers the switchyard command on your PATH. The install is editable, so changes to the source take effect immediately — you only re-run this on a new machine or virtualenv.

3. Run it in any repo

cd <target-repo>
switchyard run "<task>"
  • The current directory is the target repo by default; use --repo <path> to point at a repo from elsewhere.
  • Cap review rounds with --max-rounds N (default 3).
  • Artifacts are written under the target repo's .switchyard/ directory — add .switchyard/ to that repo's .gitignore if you don't want them tracked.
  • The run stops at a finished plan (final-plan.md) or a blocked-report.md. It does not modify code, run tests, or commit.

What Switchyard Does

switchyard run executes a bounded planning loop:

task packet
-> Claude authors a plan
-> Codex reviews it against the repo and decides (approved / needs_revision / blocked)
needs_revision -> Claude refines -> Codex reviews again
-> until approved, blocked, or max rounds
-> final-plan.md (approved) or blocked-report.md

Roles differ by phase:

  • Planning (implemented): Claude authors and refines the plan; Codex reviews it against the repo and owns the approve/revise/block decision.
  • Implementation (future, Phase 3+): Codex implements the approved plan; Claude reviews the diff.

Files are the source of truth: the full audit trail is .switchyard/runs/<run-id>/, and the latest artifacts are mirrored to .switchyard/handoff/active/ (cleared at the start of each run).

Commands

Planning loop (implemented):

switchyard run "<task>" [--repo <target-repo>] [--max-rounds N]
-> .switchyard/runs/<run-id>/
metadata.json
01-task-packet.md
02-claude-plan-round-1.md
03-codex-review-round-1.md
... # more rounds only if needs_revision
final-plan.md | blocked-report.md

Adapter spike (Phase 0 probe):

switchyard spike-adapters "<problem statement>"
-> runs/<run-id>/
00-task-packet.md
01-codex-plan.md
02-claude-review.md
adapter-notes.md

Neither command implements code, runs tests, commits, pushes, or opens PRs.

Current Status

Implemented and verified: the Phase 0 adapter spike and the bounded planning loop (Phases 1 + 2a + 2b). The next build target is Phase 3 — Codex implements an approved final-plan.md on a Switchyard branch with a git boundary and test execution — followed by Phase 4, Claude final diff review.

Documentation Map

Design Principle

Switchyard keeps the core boring and reliable:

files as source of truth
metadata as workflow state
agent lanes behind adapters
bounded loops
explicit stop conditions
git as containment
human approval for risky transitions

That stable core can later support API-token adapters, concurrent runs, dashboards, PR automation, or additional model lanes without discarding the initial CLI work.

About

Local Python CLI that automates a Claude Code + Codex planning loop — Claude drafts the plan, Codex reviews it against the repo, looping until approved, blocked, or out of rounds.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Switchyard

Switchyard is a local Python CLI that makes an existing Claude Code + Codex handoff workflow executable: one command advances the right agent through the right step, writes durable artifacts, and stops at defined gates. It does not invent a new SDLC or run an uncontrolled agent swarm.

Quick Start

1. Prerequisites

  • Python 3.13+ (python --version)
  • Node.js (LTS) — both agent CLIs ship via npm (node --version)
  • Codex CLInpm install -g @openai/codex, then codex login
  • Claude Code CLInpm install -g @anthropic-ai/claude-code, then claude login

The standalone CLIs are separate from the VS Code extensions; Switchyard shells out to the CLIs. Confirm both run non-interactively before using Switchyard:

codex exec "say hi"
claude -p "say hi"

2. Install

From the repo root:

pip install -e .

This registers the switchyard command on your PATH. The install is editable, so changes to the source take effect immediately — you only re-run this on a new machine or virtualenv.

3. Run it in any repo

cd <target-repo>
switchyard run "<task>"
  • The current directory is the target repo by default; use --repo <path> to point at a repo from elsewhere.
  • Cap review rounds with --max-rounds N (default 3).
  • Artifacts are written under the target repo's .switchyard/ directory — add .switchyard/ to that repo's .gitignore if you don't want them tracked.
  • The run stops at a finished plan (final-plan.md) or a blocked-report.md. It does not modify code, run tests, or commit.

What Switchyard Does

switchyard run executes a bounded planning loop:

task packet
-> Claude authors a plan
-> Codex reviews it against the repo and decides (approved / needs_revision / blocked)
needs_revision -> Claude refines -> Codex reviews again
-> until approved, blocked, or max rounds
-> final-plan.md (approved) or blocked-report.md

Roles differ by phase:

  • Planning (implemented): Claude authors and refines the plan; Codex reviews it against the repo and owns the approve/revise/block decision.
  • Implementation (future, Phase 3+): Codex implements the approved plan; Claude reviews the diff.

Files are the source of truth: the full audit trail is .switchyard/runs/<run-id>/, and the latest artifacts are mirrored to .switchyard/handoff/active/ (cleared at the start of each run).

Commands

Planning loop (implemented):

switchyard run "<task>" [--repo <target-repo>] [--max-rounds N]
-> .switchyard/runs/<run-id>/
metadata.json
01-task-packet.md
02-claude-plan-round-1.md
03-codex-review-round-1.md
... # more rounds only if needs_revision
final-plan.md | blocked-report.md

Adapter spike (Phase 0 probe):

switchyard spike-adapters "<problem statement>"
-> runs/<run-id>/
00-task-packet.md
01-codex-plan.md
02-claude-review.md
adapter-notes.md

Neither command implements code, runs tests, commits, pushes, or opens PRs.

Current Status

Implemented and verified: the Phase 0 adapter spike and the bounded planning loop (Phases 1 + 2a + 2b). The next build target is Phase 3 — Codex implements an approved final-plan.md on a Switchyard branch with a git boundary and test execution — followed by Phase 4, Claude final diff review.

Documentation Map

Design Principle

Switchyard keeps the core boring and reliable:

files as source of truth
metadata as workflow state
agent lanes behind adapters
bounded loops
explicit stop conditions
git as containment
human approval for risky transitions

That stable core can later support API-token adapters, concurrent runs, dashboards, PR automation, or additional model lanes without discarding the initial CLI work.

About

Local Python CLI that automates a Claude Code + Codex planning loop — Claude drafts the plan, Codex reviews it against the repo, looping until approved, blocked, or out of rounds.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Switchyard

Switchyard is a local Python CLI that makes an existing Claude Code + Codex handoff workflow executable: one command advances the right agent through the right step, writes durable artifacts, and stops at defined gates. It does not invent a new SDLC or run an uncontrolled agent swarm.

Quick Start

1. Prerequisites

  • Python 3.13+ (python --version)
  • Node.js (LTS) — both agent CLIs ship via npm (node --version)
  • Codex CLInpm install -g @openai/codex, then codex login
  • Claude Code CLInpm install -g @anthropic-ai/claude-code, then claude login

The standalone CLIs are separate from the VS Code extensions; Switchyard shells out to the CLIs. Confirm both run non-interactively before using Switchyard:

codex exec "say hi"
claude -p "say hi"

2. Install

From the repo root:

pip install -e .

This registers the switchyard command on your PATH. The install is editable, so changes to the source take effect immediately — you only re-run this on a new machine or virtualenv.

3. Run it in any repo

cd <target-repo>
switchyard run "<task>"
  • The current directory is the target repo by default; use --repo <path> to point at a repo from elsewhere.
  • Cap review rounds with --max-rounds N (default 3).
  • Artifacts are written under the target repo's .switchyard/ directory — add .switchyard/ to that repo's .gitignore if you don't want them tracked.
  • The run stops at a finished plan (final-plan.md) or a blocked-report.md. It does not modify code, run tests, or commit.

What Switchyard Does

switchyard run executes a bounded planning loop:

task packet
-> Claude authors a plan
-> Codex reviews it against the repo and decides (approved / needs_revision / blocked)
needs_revision -> Claude refines -> Codex reviews again
-> until approved, blocked, or max rounds
-> final-plan.md (approved) or blocked-report.md

Roles differ by phase:

  • Planning (implemented): Claude authors and refines the plan; Codex reviews it against the repo and owns the approve/revise/block decision.
  • Implementation (future, Phase 3+): Codex implements the approved plan; Claude reviews the diff.

Files are the source of truth: the full audit trail is .switchyard/runs/<run-id>/, and the latest artifacts are mirrored to .switchyard/handoff/active/ (cleared at the start of each run).

Commands

Planning loop (implemented):

switchyard run "<task>" [--repo <target-repo>] [--max-rounds N]
-> .switchyard/runs/<run-id>/
metadata.json
01-task-packet.md
02-claude-plan-round-1.md
03-codex-review-round-1.md
... # more rounds only if needs_revision
final-plan.md | blocked-report.md

Adapter spike (Phase 0 probe):

switchyard spike-adapters "<problem statement>"
-> runs/<run-id>/
00-task-packet.md
01-codex-plan.md
02-claude-review.md
adapter-notes.md

Neither command implements code, runs tests, commits, pushes, or opens PRs.

Current Status

Implemented and verified: the Phase 0 adapter spike and the bounded planning loop (Phases 1 + 2a + 2b). The next build target is Phase 3 — Codex implements an approved final-plan.md on a Switchyard branch with a git boundary and test execution — followed by Phase 4, Claude final diff review.

Documentation Map

Design Principle

Switchyard keeps the core boring and reliable:

files as source of truth
metadata as workflow state
agent lanes behind adapters
bounded loops
explicit stop conditions
git as containment
human approval for risky transitions

That stable core can later support API-token adapters, concurrent runs, dashboards, PR automation, or additional model lanes without discarding the initial CLI work.

About

Local Python CLI that automates a Claude Code + Codex planning loop — Claude drafts the plan, Codex reviews it against the repo, looping until approved, blocked, or out of rounds.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Switchyard

Switchyard is a local Python CLI that makes an existing Claude Code + Codex handoff workflow executable: one command advances the right agent through the right step, writes durable artifacts, and stops at defined gates. It does not invent a new SDLC or run an uncontrolled agent swarm.

Quick Start

1. Prerequisites

  • Python 3.13+ (python --version)
  • Node.js (LTS) — both agent CLIs ship via npm (node --version)
  • Codex CLInpm install -g @openai/codex, then codex login
  • Claude Code CLInpm install -g @anthropic-ai/claude-code, then claude login

The standalone CLIs are separate from the VS Code extensions; Switchyard shells out to the CLIs. Confirm both run non-interactively before using Switchyard:

codex exec "say hi"
claude -p "say hi"

2. Install

From the repo root:

pip install -e .

This registers the switchyard command on your PATH. The install is editable, so changes to the source take effect immediately — you only re-run this on a new machine or virtualenv.

3. Run it in any repo

cd <target-repo>
switchyard run "<task>"
  • The current directory is the target repo by default; use --repo <path> to point at a repo from elsewhere.
  • Cap review rounds with --max-rounds N (default 3).
  • Artifacts are written under the target repo's .switchyard/ directory — add .switchyard/ to that repo's .gitignore if you don't want them tracked.
  • The run stops at a finished plan (final-plan.md) or a blocked-report.md. It does not modify code, run tests, or commit.

What Switchyard Does

switchyard run executes a bounded planning loop:

task packet
-> Claude authors a plan
-> Codex reviews it against the repo and decides (approved / needs_revision / blocked)
needs_revision -> Claude refines -> Codex reviews again
-> until approved, blocked, or max rounds
-> final-plan.md (approved) or blocked-report.md

Roles differ by phase:

  • Planning (implemented): Claude authors and refines the plan; Codex reviews it against the repo and owns the approve/revise/block decision.
  • Implementation (future, Phase 3+): Codex implements the approved plan; Claude reviews the diff.

Files are the source of truth: the full audit trail is .switchyard/runs/<run-id>/, and the latest artifacts are mirrored to .switchyard/handoff/active/ (cleared at the start of each run).

Commands

Planning loop (implemented):

switchyard run "<task>" [--repo <target-repo>] [--max-rounds N]
-> .switchyard/runs/<run-id>/
metadata.json
01-task-packet.md
02-claude-plan-round-1.md
03-codex-review-round-1.md
... # more rounds only if needs_revision
final-plan.md | blocked-report.md

Adapter spike (Phase 0 probe):

switchyard spike-adapters "<problem statement>"
-> runs/<run-id>/
00-task-packet.md
01-codex-plan.md
02-claude-review.md
adapter-notes.md

Neither command implements code, runs tests, commits, pushes, or opens PRs.

Current Status

Implemented and verified: the Phase 0 adapter spike and the bounded planning loop (Phases 1 + 2a + 2b). The next build target is Phase 3 — Codex implements an approved final-plan.md on a Switchyard branch with a git boundary and test execution — followed by Phase 4, Claude final diff review.

Documentation Map

Design Principle

Switchyard keeps the core boring and reliable:

files as source of truth
metadata as workflow state
agent lanes behind adapters
bounded loops
explicit stop conditions
git as containment
human approval for risky transitions

That stable core can later support API-token adapters, concurrent runs, dashboards, PR automation, or additional model lanes without discarding the initial CLI work.

About

Local Python CLI that automates a Claude Code + Codex planning loop — Claude drafts the plan, Codex reviews it against the repo, looping until approved, blocked, or out of rounds.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Switchyard

Switchyard is a local Python CLI that makes an existing Claude Code + Codex handoff workflow executable: one command advances the right agent through the right step, writes durable artifacts, and stops at defined gates. It does not invent a new SDLC or run an uncontrolled agent swarm.

Quick Start

1. Prerequisites

  • Python 3.13+ (python --version)
  • Node.js (LTS) — both agent CLIs ship via npm (node --version)
  • Codex CLInpm install -g @openai/codex, then codex login
  • Claude Code CLInpm install -g @anthropic-ai/claude-code, then claude login

The standalone CLIs are separate from the VS Code extensions; Switchyard shells out to the CLIs. Confirm both run non-interactively before using Switchyard:

codex exec "say hi"
claude -p "say hi"

2. Install

From the repo root:

pip install -e .

This registers the switchyard command on your PATH. The install is editable, so changes to the source take effect immediately — you only re-run this on a new machine or virtualenv.

3. Run it in any repo

cd <target-repo>
switchyard run "<task>"
  • The current directory is the target repo by default; use --repo <path> to point at a repo from elsewhere.
  • Cap review rounds with --max-rounds N (default 3).
  • Artifacts are written under the target repo's .switchyard/ directory — add .switchyard/ to that repo's .gitignore if you don't want them tracked.
  • The run stops at a finished plan (final-plan.md) or a blocked-report.md. It does not modify code, run tests, or commit.

What Switchyard Does

switchyard run executes a bounded planning loop:

task packet
-> Claude authors a plan
-> Codex reviews it against the repo and decides (approved / needs_revision / blocked)
needs_revision -> Claude refines -> Codex reviews again
-> until approved, blocked, or max rounds
-> final-plan.md (approved) or blocked-report.md

Roles differ by phase:

  • Planning (implemented): Claude authors and refines the plan; Codex reviews it against the repo and owns the approve/revise/block decision.
  • Implementation (future, Phase 3+): Codex implements the approved plan; Claude reviews the diff.

Files are the source of truth: the full audit trail is .switchyard/runs/<run-id>/, and the latest artifacts are mirrored to .switchyard/handoff/active/ (cleared at the start of each run).

Commands

Planning loop (implemented):

switchyard run "<task>" [--repo <target-repo>] [--max-rounds N]
-> .switchyard/runs/<run-id>/
metadata.json
01-task-packet.md
02-claude-plan-round-1.md
03-codex-review-round-1.md
... # more rounds only if needs_revision
final-plan.md | blocked-report.md

Adapter spike (Phase 0 probe):

switchyard spike-adapters "<problem statement>"
-> runs/<run-id>/
00-task-packet.md
01-codex-plan.md
02-claude-review.md
adapter-notes.md

Neither command implements code, runs tests, commits, pushes, or opens PRs.

Current Status

Implemented and verified: the Phase 0 adapter spike and the bounded planning loop (Phases 1 + 2a + 2b). The next build target is Phase 3 — Codex implements an approved final-plan.md on a Switchyard branch with a git boundary and test execution — followed by Phase 4, Claude final diff review.

Documentation Map

Design Principle

Switchyard keeps the core boring and reliable:

files as source of truth
metadata as workflow state
agent lanes behind adapters
bounded loops
explicit stop conditions
git as containment
human approval for risky transitions

That stable core can later support API-token adapters, concurrent runs, dashboards, PR automation, or additional model lanes without discarding the initial CLI work.

About

Local Python CLI that automates a Claude Code + Codex planning loop — Claude drafts the plan, Codex reviews it against the repo, looping until approved, blocked, or out of rounds.

Topics

Resources

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Switchyard

Switchyard is a local Python CLI that makes an existing Claude Code + Codex handoff workflow executable: one command advances the right agent through the right step, writes durable artifacts, and stops at defined gates. It does not invent a new SDLC or run an uncontrolled agent swarm.

Quick Start

1. Prerequisites

  • Python 3.13+ (python --version)
  • Node.js (LTS) — both agent CLIs ship via npm (node --version)
  • Codex CLInpm install -g @openai/codex, then codex login
  • Claude Code CLInpm install -g @anthropic-ai/claude-code, then claude login

The standalone CLIs are separate from the VS Code extensions; Switchyard shells out to the CLIs. Confirm both run non-interactively before using Switchyard:

codex exec "say hi"
claude -p "say hi"

2. Install

From the repo root:

pip install -e .

This registers the switchyard command on your PATH. The install is editable, so changes to the source take effect immediately — you only re-run this on a new machine or virtualenv.

3. Run it in any repo

cd <target-repo>
switchyard run "<task>"
  • The current directory is the target repo by default; use --repo <path> to point at a repo from elsewhere.
  • Cap review rounds with --max-rounds N (default 3).
  • Artifacts are written under the target repo's .switchyard/ directory — add .switchyard/ to that repo's .gitignore if you don't want them tracked.
  • The run stops at a finished plan (final-plan.md) or a blocked-report.md. It does not modify code, run tests, or commit.

What Switchyard Does

switchyard run executes a bounded planning loop:

task packet
-> Claude authors a plan
-> Codex reviews it against the repo and decides (approved / needs_revision / blocked)
needs_revision -> Claude refines -> Codex reviews again
-> until approved, blocked, or max rounds
-> final-plan.md (approved) or blocked-report.md

Roles differ by phase:

  • Planning (implemented): Claude authors and refines the plan; Codex reviews it against the repo and owns the approve/revise/block decision.
  • Implementation (future, Phase 3+): Codex implements the approved plan; Claude reviews the diff.

Files are the source of truth: the full audit trail is .switchyard/runs/<run-id>/, and the latest artifacts are mirrored to .switchyard/handoff/active/ (cleared at the start of each run).

Commands

Planning loop (implemented):

switchyard run "<task>" [--repo <target-repo>] [--max-rounds N]
-> .switchyard/runs/<run-id>/
metadata.json
01-task-packet.md
02-claude-plan-round-1.md
03-codex-review-round-1.md
... # more rounds only if needs_revision
final-plan.md | blocked-report.md

Adapter spike (Phase 0 probe):

switchyard spike-adapters "<problem statement>"
-> runs/<run-id>/
00-task-packet.md
01-codex-plan.md
02-claude-review.md
adapter-notes.md

Neither command implements code, runs tests, commits, pushes, or opens PRs.

Current Status

Implemented and verified: the Phase 0 adapter spike and the bounded planning loop (Phases 1 + 2a + 2b). The next build target is Phase 3 — Codex implements an approved final-plan.md on a Switchyard branch with a git boundary and test execution — followed by Phase 4, Claude final diff review.

Documentation Map

Design Principle

Switchyard keeps the core boring and reliable:

files as source of truth
metadata as workflow state
agent lanes behind adapters
bounded loops
explicit stop conditions
git as containment
human approval for risky transitions

That stable core can later support API-token adapters, concurrent runs, dashboards, PR automation, or additional model lanes without discarding the initial CLI work.

About

Local Python CLI that automates a Claude Code + Codex planning loop — Claude drafts the plan, Codex reviews it against the repo, looping until approved, blocked, or out of rounds.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Switchyard

Switchyard is a local Python CLI that makes an existing Claude Code + Codex handoff workflow executable: one command advances the right agent through the right step, writes durable artifacts, and stops at defined gates. It does not invent a new SDLC or run an uncontrolled agent swarm.

Quick Start

1. Prerequisites

  • Python 3.13+ (python --version)
  • Node.js (LTS) — both agent CLIs ship via npm (node --version)
  • Codex CLInpm install -g @openai/codex, then codex login
  • Claude Code CLInpm install -g @anthropic-ai/claude-code, then claude login

The standalone CLIs are separate from the VS Code extensions; Switchyard shells out to the CLIs. Confirm both run non-interactively before using Switchyard:

codex exec "say hi"
claude -p "say hi"

2. Install

From the repo root:

pip install -e .

This registers the switchyard command on your PATH. The install is editable, so changes to the source take effect immediately — you only re-run this on a new machine or virtualenv.

3. Run it in any repo

cd <target-repo>
switchyard run "<task>"
  • The current directory is the target repo by default; use --repo <path> to point at a repo from elsewhere.
  • Cap review rounds with --max-rounds N (default 3).
  • Artifacts are written under the target repo's .switchyard/ directory — add .switchyard/ to that repo's .gitignore if you don't want them tracked.
  • The run stops at a finished plan (final-plan.md) or a blocked-report.md. It does not modify code, run tests, or commit.

What Switchyard Does

switchyard run executes a bounded planning loop:

task packet
-> Claude authors a plan
-> Codex reviews it against the repo and decides (approved / needs_revision / blocked)
needs_revision -> Claude refines -> Codex reviews again
-> until approved, blocked, or max rounds
-> final-plan.md (approved) or blocked-report.md

Roles differ by phase:

  • Planning (implemented): Claude authors and refines the plan; Codex reviews it against the repo and owns the approve/revise/block decision.
  • Implementation (future, Phase 3+): Codex implements the approved plan; Claude reviews the diff.

Files are the source of truth: the full audit trail is .switchyard/runs/<run-id>/, and the latest artifacts are mirrored to .switchyard/handoff/active/ (cleared at the start of each run).

Commands

Planning loop (implemented):

switchyard run "<task>" [--repo <target-repo>] [--max-rounds N]
-> .switchyard/runs/<run-id>/
metadata.json
01-task-packet.md
02-claude-plan-round-1.md
03-codex-review-round-1.md
... # more rounds only if needs_revision
final-plan.md | blocked-report.md

Adapter spike (Phase 0 probe):

switchyard spike-adapters "<problem statement>"
-> runs/<run-id>/
00-task-packet.md
01-codex-plan.md
02-claude-review.md
adapter-notes.md

Neither command implements code, runs tests, commits, pushes, or opens PRs.

Current Status

Implemented and verified: the Phase 0 adapter spike and the bounded planning loop (Phases 1 + 2a + 2b). The next build target is Phase 3 — Codex implements an approved final-plan.md on a Switchyard branch with a git boundary and test execution — followed by Phase 4, Claude final diff review.

Documentation Map

Design Principle

Switchyard keeps the core boring and reliable:

files as source of truth
metadata as workflow state
agent lanes behind adapters
bounded loops
explicit stop conditions
git as containment
human approval for risky transitions

That stable core can later support API-token adapters, concurrent runs, dashboards, PR automation, or additional model lanes without discarding the initial CLI work.

About

Local Python CLI that automates a Claude Code + Codex planning loop — Claude drafts the plan, Codex reviews it against the repo, looping until approved, blocked, or out of rounds.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages