DevDynamics VS Panofy对比,DevDynamics 和 Panofy 有什么区别?








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DevDynamics 着陆页

Panofy 着陆页


| 类别 | AI开发者工具, AI代码审查, AI数据分析 |
| DevDynamics 网站 | https://devdynamics.ai?utm_source=toolify |
| 添加时间 | 2023年5月6日 |
| DevDynamics 定价 | Pro , Business |
| 类别 | AI开发者工具, AI智能体 |
| Panofy 网站 | https://panofy.ai?utm_source=Toolify&utm_medium=referral&utm_campaign=product_launch |
| 添加时间 | 2026年4月14日 |
| Panofy 定价 | -- |
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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.
$0
Up to 9 contributors, 1 Team, up to 3 Git repositories, Standard integrations (Jira, GitHub), Basic engineering metrics (Cycle time, PR, throughput, DORA), Slack & Email alerts, Email support
$15/contributor/mo
Everything in Free plan, plus: Up to 50 contributors, Unlimited repositories & teams, Activity Log, CI/CD & Incident Management Integrations, Custom dashboards & team-specific views, 24/7 priority support
$30/contributor/mo
Everything in Pro plan, plus: Unlimited contributors, Custom integrations (GitHub Copilot, Calendar, enterprise tools), Fully customizable metric configurations, Strategic goal alignment with executive reporting, Dedicated account manager + SLA-backed support, Guided onboarding
$20 / PLUS
$200 / PRO
$15/contributor/mo
$30/contributor/mo
对不起,没有数据
DevDynamics 是月访问量为 5.5K 且平均访问时长为 00:00:32 的工具。 DevDynamics 的每次访问页数为 1.96,跳出率为 35.56%。
| 月访问量 | 5.5K |
| 平均·访问时长 | 00:00:32 |
| 每次访问页数 | 1.96 |
| 跳出率 | 35.56% |
Panofy 是月访问量为 0 且平均访问时长为 00:00:00 的工具。 Panofy 的每次访问页数为 0.00,跳出率为 0.00%。
| 月访问量 | 0 |
| 平均·访问时长 | 00:00:00 |
| 每次访问页数 | 0.00 |
| 跳出率 | 0.00% |
DevDynamics 的前 3 个国家/地区是:United States 72.01%, India 26.63%, Pakistan 1.37%
![]() | 72.01% |
| 26.63% | |
| 1.37% |
对不起,没有数据
DevDynamics 的 6 个主要流量来源是:邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Panofy 的 6 个主要流量来源是:邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
DevDynamics 可能比 Panofy 更受欢迎。如您所见,DevDynamics 每月有 5.5K 次访问,而 Panofy 每月有 0 次访问。 所以更多的人选择了DevDynamics。 因此,人们很可能会在社交平台上更多地推荐 DevDynamics。
DevDynamics 的平均访问持续时间为 00:00:32,而 Panofy 的平均访问持续时间为 00:00:00。 此外,DevDynamics 的每次访问页面为 1.96,跳出率为 35.56%。 Panofy 的每次访问页面为 0.00,跳出率为 0.00%。
DevDynamics 的主要用户是United States, India, Pakistan,分布如下:72.01%, 26.63%, 1.37%。