CodeAir과 Panofy을(를) 비교해 보세요. CodeAir과 Panofy의 차이점은 무엇인가요?








CodeAir is a mobile app companion for VS Code, available as a VSC extension and an Android app that lets you send IDE commands, text files and images wirelessly to your VSC workspace from your phone. It also has AI support built-in for QnA and more.
CodeAir 방문 페이지

Panofy 방문 페이지


| 카테고리 | AI 개발자 도구, AI 코드 어시스턴트, AI 보이스 어시스턴트, AI 코드 생성기, AI 생산성 도구 |
| CodeAir 웹사이트 | https://www.codeair.app?utm_source=toolify |
| 추가된 시간 | 10월 28 2024 |
| CodeAir 가격 | -- |
| 카테고리 | AI 개발자 도구, AI 에이전시 |
| Panofy 웹사이트 | https://panofy.ai?utm_source=Toolify&utm_medium=referral&utm_campaign=product_launch |
| 추가된 시간 | 4월 14 2026 |
| Panofy 가격 | -- |
Install the VS Code extension and the mobile app. Start the server in VS Code using the command palette. Enter the IP address and port from VS Code into the mobile app and connect. Then, send files, images, or commands from your mobile device to VS Code.
Activating an Invite Code After registering on the homepage, you will automatically be added to the invite code waitlist. Check your email for your invite code. Training Your Agent Training is the core step in Panofy. Once training is complete, your agent retains the role definition, task scope, and output requirements you have set, and applies them consistently in every subsequent conversation — no need to re-explain the background each time. 1. In the Agent Workspace, click "+ New Agent" in the top-right corner to begin the creation process. 2. Name your agent based on its intended function — for example, "TweetForge". 3. In the training input field, provide instructions or knowledge content for your agent. Define its role, task scope, output format requirements, and tone preferences. 4. Upload files to accelerate knowledge building. Suitable materials include SOPs, business guidelines, evaluation frameworks, and reference examples. 5. Click "Submit" to begin training. You will be automatically redirected to the Agent Workspace, where training progress updates in real time. 6. Once training is complete, the agent's status changes from "Training" to "Ready". You can then proceed to the next step. Assigning Tasks to Your Agent Once training is complete, your agent has internalized its setup and is ready to receive and execute task instructions. Executing a Task 1. In the Agent Workspace, click on the relevant agent to open the conversation interface. 2. Enter your task instructions in the input box and send. The agent will begin executing the task automatically. 3. Results are displayed in real time in the conversation window and simultaneously saved to the "Output" panel on the left. Creating a New Task 1. Click "New Task" in the right-hand navigation bar to create an additional task for the same agent. 2. For complex tasks, the agent will automatically generate a task plan listing each step. You can then choose to execute immediately, schedule execution, or revise the plan. 3. Once execution is confirmed, you can monitor the progress of each sub-task in real time. 4. Click "Import" in the right-hand navigation bar to bring in an existing task plan from another complex task. This allows established workflows to be saved and reused directly. Inviting Collaborators and Sharing 1. Click "Invite" in the right-hand navigation bar to generate an invite link. Anyone with the link can use your trained agent directly, with any credits consumed charged to their own account. You can configure whether to include access to external tools and whether to require a passcode. 2. Click the share icon above the conversation to generate a shareable link for the task record. You can set visibility to "Anyone with the link" or "Only me", and optionally enable playback mode so external viewers can replay the task without needing to register. You're ready to start. Create your first agent, train it, and let it become a genuine part of how you work. The more you put in, the better it gets.
죄송합니다. 데이터가 없습니다.
$20 / PLUS
$200 / PRO
CodeAir은(는) 0 월간 방문과 00:00:00 평균 방문 기간을 가진 것입니다. CodeAir의 방문당 페이지 수는 0.00이고 이탈률은 0.00%입니다.
| 월 방문자 수 | 0 |
| 평균·방문시간 | 00:00:00 |
| 방문당 페이지 수 | 0.00 |
| 이탈률 | 0.00% |
Panofy은(는) 0 월간 방문과 00:00:00 평균 방문 기간을 가진 것입니다. Panofy의 방문당 페이지 수는 0.00이고 이탈률은 0.00%입니다.
| 월 방문자 수 | 0 |
| 평균·방문시간 | 00:00:00 |
| 방문당 페이지 수 | 0.00 |
| 이탈률 | 0.00% |
CodeAir에 대한 6가지 주요 트래픽 소스는 다음과 같습니다.메일 0, vs_sourcesGenAi 0, 직접 0, vs_sourcesAffiliate 0, 추천 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
메일 | 0 |
vs_sourcesGenAi | 0 |
직접 | 0 |
vs_sourcesAffiliate | 0 |
추천 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Panofy에 대한 6가지 주요 트래픽 소스는 다음과 같습니다.메일 0, vs_sourcesGenAi 0, 직접 0, vs_sourcesAffiliate 0, 추천 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
메일 | 0 |
vs_sourcesGenAi | 0 |
직접 | 0 |
vs_sourcesAffiliate | 0 |
추천 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Panofy은(는) CodeAir보다 약간 더 인기가 있을 수 있습니다. 보시다시피 CodeAir의 월간 방문수는 0회이고 Panofy의 월간 방문수는 0회입니다. 따라서 더 많은 사람들이 Panofy을(를) 선택합니다. 따라서 사람들이 소셜 플랫폼에서 Panofy을(를) 더 많이 추천할 가능성이 있습니다.
CodeAir의 평균 방문 기간은 00:00:00이고 Panofy의 평균 방문 기간은 00:00:00입니다. 또한 CodeAir의 방문당 페이지 수는 0.00이고 이탈률은 0.00%입니다. Panofy의 방문당 페이지 수는 0.00이고 이탈률은 0.00%입니다.