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dabuddha/README.md

Hao Jie (郝杰)

iOS and full-stack engineer, 13 years. Small teams, usually as the person who takes something from architecture all the way to the App Store alone.

For the past ~18 months I've moved my working process to AI coding agents — as the primary implementation path for shipped, paying production software, not as autocomplete.

What I work on

iOS / Apple platform Swift, SwiftUI, TCA. Tuist multi-module projects, Fastlane for signing and release. Most of my recent depth is in the parts of the platform where the official docs run out:

  • Screen Time stack (FamilyControls / ManagedSettings / DeviceActivity) — DeviceActivityMonitor extensions run in a separate process under a hard memory budget and get killed silently; ApplicationToken is opaque and doesn't survive process boundaries cleanly; restrictions written to ManagedSettingsStore are persistent, so "it unblocks itself at midnight" is a permanent-lockout bug waiting to happen unless something you own can actually run the cleanup.
  • Apple MDM protocol — checkin/command over XML plist, DEP/ADE zero-touch enrollment (ABM public-key upload, encrypted token decryption), APNs HTTP/2 over persistent connections, certificate-chain automation, and migrating a fleet off Jamf onto a self-hosted server.

AI engineering Custom Claude Code skills, hooks and subagents built around a real Swift/Tuist/Fastlane codebase — module scaffolding, build verification, code-signing diagnostics. Agentic workflows wired end to end: vision → structured extraction → multimodal generation → browser automation → publish. Tool calling, prompt caching, lightweight RAG, and local model selection under real memory/bandwidth limits.

The part that turned out to matter isn't the model. It's knowing which modules are safe to delegate, encoding the conventions nobody ever wrote down, and being able to tell when the output is confidently wrong.

Web React and TypeScript since 2013 — TanStack, Jotai, Relay/GraphQL, Next.js, Tauri for desktop. Deno + Hono + Zod on the backend.

Background

Network engineering at BUPT. That's why protocol-level work — packet capture, WebRTC, native-to-web bridging, Apple's MDM wire format — tends to be where I'm most useful.

Available for

Short, well-scoped contract work. Remote, async, written-first.

  • Apple system-level work: Screen Time, MDM, device management
  • Getting AI coding agents landed in an existing codebase and CI
  • Full-stack delivery for small teams

📮 dabuddha@126.com

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, '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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dabuddha/README.md

Hao Jie (郝杰)

iOS and full-stack engineer, 13 years. Small teams, usually as the person who takes something from architecture all the way to the App Store alone.

For the past ~18 months I've moved my working process to AI coding agents — as the primary implementation path for shipped, paying production software, not as autocomplete.

What I work on

iOS / Apple platform Swift, SwiftUI, TCA. Tuist multi-module projects, Fastlane for signing and release. Most of my recent depth is in the parts of the platform where the official docs run out:

  • Screen Time stack (FamilyControls / ManagedSettings / DeviceActivity) — DeviceActivityMonitor extensions run in a separate process under a hard memory budget and get killed silently; ApplicationToken is opaque and doesn't survive process boundaries cleanly; restrictions written to ManagedSettingsStore are persistent, so "it unblocks itself at midnight" is a permanent-lockout bug waiting to happen unless something you own can actually run the cleanup.
  • Apple MDM protocol — checkin/command over XML plist, DEP/ADE zero-touch enrollment (ABM public-key upload, encrypted token decryption), APNs HTTP/2 over persistent connections, certificate-chain automation, and migrating a fleet off Jamf onto a self-hosted server.

AI engineering Custom Claude Code skills, hooks and subagents built around a real Swift/Tuist/Fastlane codebase — module scaffolding, build verification, code-signing diagnostics. Agentic workflows wired end to end: vision → structured extraction → multimodal generation → browser automation → publish. Tool calling, prompt caching, lightweight RAG, and local model selection under real memory/bandwidth limits.

The part that turned out to matter isn't the model. It's knowing which modules are safe to delegate, encoding the conventions nobody ever wrote down, and being able to tell when the output is confidently wrong.

Web React and TypeScript since 2013 — TanStack, Jotai, Relay/GraphQL, Next.js, Tauri for desktop. Deno + Hono + Zod on the backend.

Background

Network engineering at BUPT. That's why protocol-level work — packet capture, WebRTC, native-to-web bridging, Apple's MDM wire format — tends to be where I'm most useful.

Available for

Short, well-scoped contract work. Remote, async, written-first.

  • Apple system-level work: Screen Time, MDM, device management
  • Getting AI coding agents landed in an existing codebase and CI
  • Full-stack delivery for small teams

📮 dabuddha@126.com

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, '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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dabuddha/README.md

Hao Jie (郝杰)

iOS and full-stack engineer, 13 years. Small teams, usually as the person who takes something from architecture all the way to the App Store alone.

For the past ~18 months I've moved my working process to AI coding agents — as the primary implementation path for shipped, paying production software, not as autocomplete.

What I work on

iOS / Apple platform Swift, SwiftUI, TCA. Tuist multi-module projects, Fastlane for signing and release. Most of my recent depth is in the parts of the platform where the official docs run out:

  • Screen Time stack (FamilyControls / ManagedSettings / DeviceActivity) — DeviceActivityMonitor extensions run in a separate process under a hard memory budget and get killed silently; ApplicationToken is opaque and doesn't survive process boundaries cleanly; restrictions written to ManagedSettingsStore are persistent, so "it unblocks itself at midnight" is a permanent-lockout bug waiting to happen unless something you own can actually run the cleanup.
  • Apple MDM protocol — checkin/command over XML plist, DEP/ADE zero-touch enrollment (ABM public-key upload, encrypted token decryption), APNs HTTP/2 over persistent connections, certificate-chain automation, and migrating a fleet off Jamf onto a self-hosted server.

AI engineering Custom Claude Code skills, hooks and subagents built around a real Swift/Tuist/Fastlane codebase — module scaffolding, build verification, code-signing diagnostics. Agentic workflows wired end to end: vision → structured extraction → multimodal generation → browser automation → publish. Tool calling, prompt caching, lightweight RAG, and local model selection under real memory/bandwidth limits.

The part that turned out to matter isn't the model. It's knowing which modules are safe to delegate, encoding the conventions nobody ever wrote down, and being able to tell when the output is confidently wrong.

Web React and TypeScript since 2013 — TanStack, Jotai, Relay/GraphQL, Next.js, Tauri for desktop. Deno + Hono + Zod on the backend.

Background

Network engineering at BUPT. That's why protocol-level work — packet capture, WebRTC, native-to-web bridging, Apple's MDM wire format — tends to be where I'm most useful.

Available for

Short, well-scoped contract work. Remote, async, written-first.

  • Apple system-level work: Screen Time, MDM, device management
  • Getting AI coding agents landed in an existing codebase and CI
  • Full-stack delivery for small teams

📮 dabuddha@126.com

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, '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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dabuddha/README.md

Hao Jie (郝杰)

iOS and full-stack engineer, 13 years. Small teams, usually as the person who takes something from architecture all the way to the App Store alone.

For the past ~18 months I've moved my working process to AI coding agents — as the primary implementation path for shipped, paying production software, not as autocomplete.

What I work on

iOS / Apple platform Swift, SwiftUI, TCA. Tuist multi-module projects, Fastlane for signing and release. Most of my recent depth is in the parts of the platform where the official docs run out:

  • Screen Time stack (FamilyControls / ManagedSettings / DeviceActivity) — DeviceActivityMonitor extensions run in a separate process under a hard memory budget and get killed silently; ApplicationToken is opaque and doesn't survive process boundaries cleanly; restrictions written to ManagedSettingsStore are persistent, so "it unblocks itself at midnight" is a permanent-lockout bug waiting to happen unless something you own can actually run the cleanup.
  • Apple MDM protocol — checkin/command over XML plist, DEP/ADE zero-touch enrollment (ABM public-key upload, encrypted token decryption), APNs HTTP/2 over persistent connections, certificate-chain automation, and migrating a fleet off Jamf onto a self-hosted server.

AI engineering Custom Claude Code skills, hooks and subagents built around a real Swift/Tuist/Fastlane codebase — module scaffolding, build verification, code-signing diagnostics. Agentic workflows wired end to end: vision → structured extraction → multimodal generation → browser automation → publish. Tool calling, prompt caching, lightweight RAG, and local model selection under real memory/bandwidth limits.

The part that turned out to matter isn't the model. It's knowing which modules are safe to delegate, encoding the conventions nobody ever wrote down, and being able to tell when the output is confidently wrong.

Web React and TypeScript since 2013 — TanStack, Jotai, Relay/GraphQL, Next.js, Tauri for desktop. Deno + Hono + Zod on the backend.

Background

Network engineering at BUPT. That's why protocol-level work — packet capture, WebRTC, native-to-web bridging, Apple's MDM wire format — tends to be where I'm most useful.

Available for

Short, well-scoped contract work. Remote, async, written-first.

  • Apple system-level work: Screen Time, MDM, device management
  • Getting AI coding agents landed in an existing codebase and CI
  • Full-stack delivery for small teams

📮 dabuddha@126.com

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, '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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dabuddha/README.md

Hao Jie (郝杰)

iOS and full-stack engineer, 13 years. Small teams, usually as the person who takes something from architecture all the way to the App Store alone.

For the past ~18 months I've moved my working process to AI coding agents — as the primary implementation path for shipped, paying production software, not as autocomplete.

What I work on

iOS / Apple platform Swift, SwiftUI, TCA. Tuist multi-module projects, Fastlane for signing and release. Most of my recent depth is in the parts of the platform where the official docs run out:

  • Screen Time stack (FamilyControls / ManagedSettings / DeviceActivity) — DeviceActivityMonitor extensions run in a separate process under a hard memory budget and get killed silently; ApplicationToken is opaque and doesn't survive process boundaries cleanly; restrictions written to ManagedSettingsStore are persistent, so "it unblocks itself at midnight" is a permanent-lockout bug waiting to happen unless something you own can actually run the cleanup.
  • Apple MDM protocol — checkin/command over XML plist, DEP/ADE zero-touch enrollment (ABM public-key upload, encrypted token decryption), APNs HTTP/2 over persistent connections, certificate-chain automation, and migrating a fleet off Jamf onto a self-hosted server.

AI engineering Custom Claude Code skills, hooks and subagents built around a real Swift/Tuist/Fastlane codebase — module scaffolding, build verification, code-signing diagnostics. Agentic workflows wired end to end: vision → structured extraction → multimodal generation → browser automation → publish. Tool calling, prompt caching, lightweight RAG, and local model selection under real memory/bandwidth limits.

The part that turned out to matter isn't the model. It's knowing which modules are safe to delegate, encoding the conventions nobody ever wrote down, and being able to tell when the output is confidently wrong.

Web React and TypeScript since 2013 — TanStack, Jotai, Relay/GraphQL, Next.js, Tauri for desktop. Deno + Hono + Zod on the backend.

Background

Network engineering at BUPT. That's why protocol-level work — packet capture, WebRTC, native-to-web bridging, Apple's MDM wire format — tends to be where I'm most useful.

Available for

Short, well-scoped contract work. Remote, async, written-first.

  • Apple system-level work: Screen Time, MDM, device management
  • Getting AI coding agents landed in an existing codebase and CI
  • Full-stack delivery for small teams

📮 dabuddha@126.com

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    Frontend engineering solution based on webpack and gulp.

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, '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('^' + ".*" + '
Skip to content
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dabuddha/README.md

Hao Jie (郝杰)

iOS and full-stack engineer, 13 years. Small teams, usually as the person who takes something from architecture all the way to the App Store alone.

For the past ~18 months I've moved my working process to AI coding agents — as the primary implementation path for shipped, paying production software, not as autocomplete.

What I work on

iOS / Apple platform Swift, SwiftUI, TCA. Tuist multi-module projects, Fastlane for signing and release. Most of my recent depth is in the parts of the platform where the official docs run out:

  • Screen Time stack (FamilyControls / ManagedSettings / DeviceActivity) — DeviceActivityMonitor extensions run in a separate process under a hard memory budget and get killed silently; ApplicationToken is opaque and doesn't survive process boundaries cleanly; restrictions written to ManagedSettingsStore are persistent, so "it unblocks itself at midnight" is a permanent-lockout bug waiting to happen unless something you own can actually run the cleanup.
  • Apple MDM protocol — checkin/command over XML plist, DEP/ADE zero-touch enrollment (ABM public-key upload, encrypted token decryption), APNs HTTP/2 over persistent connections, certificate-chain automation, and migrating a fleet off Jamf onto a self-hosted server.

AI engineering Custom Claude Code skills, hooks and subagents built around a real Swift/Tuist/Fastlane codebase — module scaffolding, build verification, code-signing diagnostics. Agentic workflows wired end to end: vision → structured extraction → multimodal generation → browser automation → publish. Tool calling, prompt caching, lightweight RAG, and local model selection under real memory/bandwidth limits.

The part that turned out to matter isn't the model. It's knowing which modules are safe to delegate, encoding the conventions nobody ever wrote down, and being able to tell when the output is confidently wrong.

Web React and TypeScript since 2013 — TanStack, Jotai, Relay/GraphQL, Next.js, Tauri for desktop. Deno + Hono + Zod on the backend.

Background

Network engineering at BUPT. That's why protocol-level work — packet capture, WebRTC, native-to-web bridging, Apple's MDM wire format — tends to be where I'm most useful.

Available for

Short, well-scoped contract work. Remote, async, written-first.

  • Apple system-level work: Screen Time, MDM, device management
  • Getting AI coding agents landed in an existing codebase and CI
  • Full-stack delivery for small teams

📮 dabuddha@126.com

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    JavaScript 9 1

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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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dabuddha/README.md

Hao Jie (郝杰)

iOS and full-stack engineer, 13 years. Small teams, usually as the person who takes something from architecture all the way to the App Store alone.

For the past ~18 months I've moved my working process to AI coding agents — as the primary implementation path for shipped, paying production software, not as autocomplete.

What I work on

iOS / Apple platform Swift, SwiftUI, TCA. Tuist multi-module projects, Fastlane for signing and release. Most of my recent depth is in the parts of the platform where the official docs run out:

  • Screen Time stack (FamilyControls / ManagedSettings / DeviceActivity) — DeviceActivityMonitor extensions run in a separate process under a hard memory budget and get killed silently; ApplicationToken is opaque and doesn't survive process boundaries cleanly; restrictions written to ManagedSettingsStore are persistent, so "it unblocks itself at midnight" is a permanent-lockout bug waiting to happen unless something you own can actually run the cleanup.
  • Apple MDM protocol — checkin/command over XML plist, DEP/ADE zero-touch enrollment (ABM public-key upload, encrypted token decryption), APNs HTTP/2 over persistent connections, certificate-chain automation, and migrating a fleet off Jamf onto a self-hosted server.

AI engineering Custom Claude Code skills, hooks and subagents built around a real Swift/Tuist/Fastlane codebase — module scaffolding, build verification, code-signing diagnostics. Agentic workflows wired end to end: vision → structured extraction → multimodal generation → browser automation → publish. Tool calling, prompt caching, lightweight RAG, and local model selection under real memory/bandwidth limits.

The part that turned out to matter isn't the model. It's knowing which modules are safe to delegate, encoding the conventions nobody ever wrote down, and being able to tell when the output is confidently wrong.

Web React and TypeScript since 2013 — TanStack, Jotai, Relay/GraphQL, Next.js, Tauri for desktop. Deno + Hono + Zod on the backend.

Background

Network engineering at BUPT. That's why protocol-level work — packet capture, WebRTC, native-to-web bridging, Apple's MDM wire format — tends to be where I'm most useful.

Available for

Short, well-scoped contract work. Remote, async, written-first.

  • Apple system-level work: Screen Time, MDM, device management
  • Getting AI coding agents landed in an existing codebase and CI
  • Full-stack delivery for small teams

📮 dabuddha@126.com

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, '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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dabuddha/README.md

Hao Jie (郝杰)

iOS and full-stack engineer, 13 years. Small teams, usually as the person who takes something from architecture all the way to the App Store alone.

For the past ~18 months I've moved my working process to AI coding agents — as the primary implementation path for shipped, paying production software, not as autocomplete.

What I work on

iOS / Apple platform Swift, SwiftUI, TCA. Tuist multi-module projects, Fastlane for signing and release. Most of my recent depth is in the parts of the platform where the official docs run out:

  • Screen Time stack (FamilyControls / ManagedSettings / DeviceActivity) — DeviceActivityMonitor extensions run in a separate process under a hard memory budget and get killed silently; ApplicationToken is opaque and doesn't survive process boundaries cleanly; restrictions written to ManagedSettingsStore are persistent, so "it unblocks itself at midnight" is a permanent-lockout bug waiting to happen unless something you own can actually run the cleanup.
  • Apple MDM protocol — checkin/command over XML plist, DEP/ADE zero-touch enrollment (ABM public-key upload, encrypted token decryption), APNs HTTP/2 over persistent connections, certificate-chain automation, and migrating a fleet off Jamf onto a self-hosted server.

AI engineering Custom Claude Code skills, hooks and subagents built around a real Swift/Tuist/Fastlane codebase — module scaffolding, build verification, code-signing diagnostics. Agentic workflows wired end to end: vision → structured extraction → multimodal generation → browser automation → publish. Tool calling, prompt caching, lightweight RAG, and local model selection under real memory/bandwidth limits.

The part that turned out to matter isn't the model. It's knowing which modules are safe to delegate, encoding the conventions nobody ever wrote down, and being able to tell when the output is confidently wrong.

Web React and TypeScript since 2013 — TanStack, Jotai, Relay/GraphQL, Next.js, Tauri for desktop. Deno + Hono + Zod on the backend.

Background

Network engineering at BUPT. That's why protocol-level work — packet capture, WebRTC, native-to-web bridging, Apple's MDM wire format — tends to be where I'm most useful.

Available for

Short, well-scoped contract work. Remote, async, written-first.

  • Apple system-level work: Screen Time, MDM, device management
  • Getting AI coding agents landed in an existing codebase and CI
  • Full-stack delivery for small teams

📮 dabuddha@126.com

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    JavaScript 9 1

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  5. git-ex git-exPublic

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    Forked from chemdemo/webpack-seed

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    JavaScript