{"title":"Geautomatiseerde iOS-app-testen","slug":"automated-testing-ios","category":"guides","summary":"Gebruik Synapse + Computer Control API om iOS-app-tests te automatiseren via Simulator.","audience":["human","llm"],"tags":["guide","ios","testing","automation"],"difficulty":"advanced","updated":"2026-06-27","word_count":299,"read_minutes":1,"lang":"nl","translated":true,"requested_lang":"nl","content_markdown":"\n# Geautomatiseerde iOS-app-testen\n\nCombineer het memory-systeem van Synapse met de Computer Control API om door LLM\naangedreven iOS-app-tests te bouwen. De LLM herinnert testscenario's, leert van eerdere\nfouten, en past zich aan UI-wijzigingen aan.\n\n## Architectuur\n\n```\n┌──────────────┐ commands ┌──────────────┐ screenshots ┌──────────────┐\n│ LLM Agent │ ─────────────▶│ Synapse │ ────────────────▶ │ iOS Sim │\n│ (Claude) │ │ Computer │ ◀──────────────── │ (via agent) │\n└──────────────┘ │ Control │ results └──────────────┘\n │ └──────────────┘\n │ store/recall\n ▼\n┌──────────────┐\n│ Memories │ (test scenarios, past failures, UI patterns)\n└──────────────┘\n```\n\n## Vereisten\n\n- Synapse-account + Mind Key\n- Synapse MCP-server geconfigureerd in Claude Desktop\n- iOS Simulator met `screen-remote-agent` geïnstalleerd\n- Computer geregistreerd in Synapse (zie [Computer Control API](/docs/api/computers))\n\n## Stap 1: Registreer de Simulator-computer\n\nOp de Mac waarop iOS Simulator draait:\n\n```bash\n# Get install code from Synapse\ncurl -X POST https://synapse.schaefer.zone/computers/install-code \\\n -H \"Authorization: Bearer YOUR_MIND_KEY\" \\\n -d '{\"computer_name\":\"ios-sim\"}'\n# → { \"install_code\": \"ic_...\" }\n\n# Run screen-remote-agent on the Mac\n# (uses the install code to register)\n```\n\n## Stap 2: Sla testscenario's op in memory\n\nSla herbruikbare testscenario's op als herinneringen:\n\n```python\nimport requests\n\ndef store_test_scenario(name, steps, app):\n requests.post(f\"{URL}/memory\",\n headers={\"Authorization\": f\"Bearer {MIND_KEY}\"},\n json={\n \"category\": \"skill\",\n \"key\": f\"test_scenario_{name}\",\n \"content\": f\"App: {app}\\nSteps:\\n\" + \"\\n\".join(steps),\n \"tags\": [\"test\", \"ios\", app],\n \"priority\": \"high\"\n })\n\nstore_test_scenario(\"login_flow\", [\n \"Launch app\",\n \"Tap email field\",\n \"Type test@example.com\",\n \"Tap password field\",\n \"Type password123\",\n \"Tap Login button\",\n \"Verify home screen appears\"\n], \"MyApp\")\n```\n\n## Stap 3: Door LLM aangedreven testuitvoering\n\nIn Claude Desktop (met Synapse MCP geconfigureerd):\n\n```\nRun the login_flow test scenario on the iOS Simulator.\nTake a screenshot after each step and verify the expected UI.\nIf any step fails, store the failure as a memory so we can\navoid it next time.\n```\n\nClaude zal:\n\n1. `memory_search` aanroepen om de `test_scenario_login_flow`-herinnering te vinden\n2. `computer_screenshot` aanroepen om de huidige staat te zien\n3. Elke stap uitvoeren via `computer_command_queue` (klik, typ)\n4. Resultaten verifiëren via schermafbeeldingen\n5. Eventuele fouten opslaan als `mistake`-herinneringen\n\n## Stap 4: Zelfherstellende tests\n\nWanneer een test faalt, sla de fout en het herstel op:\n\n```python\ndef store_test_failure(scenario, step, error, recovery):\n requests.post(f\"{URL}/memory\",\n headers={\"Authorization\": f\"Bearer {MIND_KEY}\"},\n json={\n \"category\": \"mistake\",\n \"key\": f\"failure_{scenario}_{step}\",\n \"content\": f\"Scenario: {scenario}\\nStep: {step}\\nError: {error}\\nRecovery: {recovery}\",\n \"tags\": [\"test\", \"failure\", \"ios\", scenario],\n \"priority\": \"high\"\n })\n\n# Example\nstore_test_failure(\"login_flow\", \"tap_login\",\n \"Login button not found at expected coordinates\",\n \"Button moved due to new logo. Search by accessibility label instead.\")\n```\n\nDe volgende keer dat de LLM de test uitvoert, haalt hij de fout op en past hij het\nherstel automatisch toe.\n\n## Stap 5: Testresultaat-tracking\n\nVolg testruns als taken:\n\n```python\ndef track_test_run(scenario, status, duration):\n requests.post(f\"{URL}/mind/task\",\n headers={\"Authorization\": f\"Bearer {MIND_KEY}\",\n \"Content-Type\": \"application/json\"},\n json={\n \"title\": f\"Test: {scenario}\",\n \"description\": f\"Status: {status}, Duration: {duration}s\",\n \"priority\": \"normal\"\n })\n```\n\n## Veelvoorkomende commando's\n\n| Actie | Commando |\n|-------|----------|\n| Simulator starten | `xcrun simctl launch booted com.example.app` |\n| Schermafbeelding | `computer_screenshot` (via Synapse MCP) |\n| Tik op (x,y) | `computer_command_queue {type:\"click\", payload:{x,y}}` |\n| Typ tekst | `computer_command_queue {type:\"type\", payload:{text:\"...\"}}` |\n| Druk op Home | `computer_command_queue {type:\"key\", payload:{keys:[\"Cmd\",\"Shift\",\"H\"]}}` |\n\n## Best practices\n\n> [!TIP]\n> - **Sla UI-coördinaten op als herinneringen** — UI verandert, maar de LLM kan opnieuw leren\n> - **Gebruik accessibility-labels** — stabieler dan coördinaten\n> - **Sla testdata apart op** — gebruik variabelen voor gebruikersnamen, wachtwoorden\n> - **Draai tests in schone staat** — reset Simulator tussen runs\n> - **Log schermafbeeldingen bij fouten** — nuttig voor debugging\n\n## Volgende stappen\n\n- [Zelfherstellende tests](/docs/guides/self-healing-tests)\n- [Computer Control API](/docs/api/computers)\n- [Memory-best-practices](/docs/guides/memory-best-practices)\n","content_html":"

Geautomatiseerde iOS-app-testen

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Combineer het memory-systeem van Synapse met de Computer Control API om door LLM\naangedreven iOS-app-tests te bouwen. De LLM herinnert testscenario's, leert van eerdere\nfouten, en past zich aan UI-wijzigingen aan.

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Architectuur

\n
┌──────────────┐    commands    ┌──────────────┐    screenshots    ┌──────────────┐\n│  LLM Agent   │ ─────────────▶│  Synapse     │ ────────────────▶ │  iOS Sim     │\n│  (Claude)    │               │  Computer    │ ◀──────────────── │  (via agent) │\n└──────────────┘               │  Control     │    results        └──────────────┘\n       │                       └──────────────┘\n       │ store/recall\n       ▼\n┌──────────────┐\n│  Memories    │ (test scenarios, past failures, UI patterns)\n└──────────────┘

Vereisten

\n\n

Stap 1: Registreer de Simulator-computer

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Op de Mac waarop iOS Simulator draait:

\n
# Get install code from Synapse\ncurl -X POST https://synapse.schaefer.zone/computers/install-code \\\n  -H "Authorization: Bearer YOUR_MIND_KEY" \\\n  -d '{"computer_name":"ios-sim"}'\n# → { "install_code": "ic_..." }\n\n# Run screen-remote-agent on the Mac\n# (uses the install code to register)

Stap 2: Sla testscenario's op in memory

\n

Sla herbruikbare testscenario's op als herinneringen:

\n
import requests\n\ndef store_test_scenario(name, steps, app):\n    requests.post(f"{URL}/memory",\n        headers={"Authorization": f"Bearer {MIND_KEY}"},\n        json={\n            "category": "skill",\n            "key": f"test_scenario_{name}",\n            "content": f"App: {app}\\nSteps:\\n" + "\\n".join(steps),\n            "tags": ["test", "ios", app],\n            "priority": "high"\n        })\n\nstore_test_scenario("login_flow", [\n    "Launch app",\n    "Tap email field",\n    "Type test@example.com",\n    "Tap password field",\n    "Type password123",\n    "Tap Login button",\n    "Verify home screen appears"\n], "MyApp")

Stap 3: Door LLM aangedreven testuitvoering

\n

In Claude Desktop (met Synapse MCP geconfigureerd):

\n
Run the login_flow test scenario on the iOS Simulator.\nTake a screenshot after each step and verify the expected UI.\nIf any step fails, store the failure as a memory so we can\navoid it next time.

Claude zal:

\n
    \n
  1. memory_search aanroepen om de test_scenario_login_flow-herinnering te vinden
    2. \n
  2. computer_screenshot aanroepen om de huidige staat te zien
    3. \n
  3. Elke stap uitvoeren via computer_command_queue (klik, typ)
    4. \n
  4. Resultaten verifiëren via schermafbeeldingen
    5. \n
  5. Eventuele fouten opslaan als mistake-herinneringen
    6. \n
\n

Stap 4: Zelfherstellende tests

\n

Wanneer een test faalt, sla de fout en het herstel op:

\n
def store_test_failure(scenario, step, error, recovery):\n    requests.post(f"{URL}/memory",\n        headers={"Authorization": f"Bearer {MIND_KEY}"},\n        json={\n            "category": "mistake",\n            "key": f"failure_{scenario}_{step}",\n            "content": f"Scenario: {scenario}\\nStep: {step}\\nError: {error}\\nRecovery: {recovery}",\n            "tags": ["test", "failure", "ios", scenario],\n            "priority": "high"\n        })\n\n# Example\nstore_test_failure("login_flow", "tap_login",\n    "Login button not found at expected coordinates",\n    "Button moved due to new logo. Search by accessibility label instead.")

De volgende keer dat de LLM de test uitvoert, haalt hij de fout op en past hij het\nherstel automatisch toe.

\n

Stap 5: Testresultaat-tracking

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Volg testruns als taken:

\n
def track_test_run(scenario, status, duration):\n    requests.post(f"{URL}/mind/task",\n        headers={"Authorization": f"Bearer {MIND_KEY}",\n                 "Content-Type": "application/json"},\n        json={\n            "title": f"Test: {scenario}",\n            "description": f"Status: {status}, Duration: {duration}s",\n            "priority": "normal"\n        })

Veelvoorkomende commando's

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
ActieCommando
Simulator startenxcrun simctl launch booted com.example.app
Schermafbeeldingcomputer_screenshot (via Synapse MCP)
Tik op (x,y)computer_command_queue {type:"click", payload:{x,y}}
Typ tekstcomputer_command_queue {type:"type", payload:{text:"..."}}
Druk op Homecomputer_command_queue {type:"key", payload:{keys:["Cmd","Shift","H"]}}
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Best practices

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Volgende stappen

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