![]() Lua and Rust were among the fasted growing programming languages. Among respondents who are already using one of 11 different AI search tools Stack Overflow asked about, the following percentages of devs have used these tools in the past year:Ībout 78% of both ChatGPT and Phind users claim they will continue using the technology in the next year, which is higher than the 61% of Bard AI and 62% of Bing AI users expressing that type of loyalty. The gap between GitHub Copilot and similar tools is most noticeable when looking at how many of its users plan to continue using it - 72% of GitHub Copilot users want to use it in the upcoming year, as compared to only 53% of AWS CodeWhisperer users and 37% of Tabnine users.ĪI search tools like ChatGPT were also highlighted in the study. The other seven tools included in the survey were used by no more than 2%. When this group was asked what specific AI-powered developer tools they use, 55% mentioned GitHub Copilot, while 13% use Tabnine and 5% use Amazon Web Services CodeWhisperer. When asked about their plans to use AI tools in their development process, 44% of developers said they already do this and another 26% plan to do so soon. Skip effects only until certain dependencies have changed if you are using the Effect hook to improve runtime performance.Artificial intelligence is hot, and GitHub Copilot and ChatGPT are poised to benefit developers, according to Stack Overflow’s 2023 Developer Survey.Īdoption of the Lua and Rust programming languages spiked in 2023, as did that of the Python-based FastAPI framework, reported the latest global survey of more than 90,000 developers.Minimize unnecessary re-renders using shouldComponentUpdate, PureComponent, or mo.Use a "windowing" library like react-window to minimize the number of DOM nodes created if you are rendering many repeated elements on the page.If you're rendering large lists, use virtual scrolling with the Component Dev Kit (CDK). See Google's Reduce the Scope and Complexity of Style Calculations for more information. If you can't avoid a large DOM tree, another approach for improving rendering performance is simplifying your CSS selectors. If you create DOM nodes at runtime, Subtree Modification DOM Change Breakpoints can help you pinpoint when nodes get created. ![]() Perhaps you can remove the undisplayed nodes from the initially loaded document and only create them after a relevant user interaction, such as a scroll or a button click. If you're currently shipping a large DOM tree, try loading your page and manually noting which nodes are displayed. In general, look for ways to create DOM nodes only when needed, and destroy nodes when they're no longer needed. ![]() See the Lighthouse performance scoring post to learn how your page's overall performance score is calculated. Errors when the body element has more than ~1,400 nodes.Warns when the body element has more than ~800 nodes.Lighthouse flags pages with DOM trees that: Lighthouse reports the total DOM elements for a page, the page's maximum DOM depth, and its maximum child elements: ![]() # How the Lighthouse DOM size audit fails If your JavaScript uses general query selectors such as document.querySelectorAll('li'), you may be unknowingly storing references to a very large number of nodes, which can overwhelm the memory capabilities of your users' devices. A large DOM tree in combination with complicated style rules can severely slow down rendering. A large DOM tree can slow down your page performance in multiple ways:Ī large DOM tree often includes many nodes that aren't visible when the user first loads the page, which unnecessarily increases data costs for your users and slows down load time.Īs users and scripts interact with your page, the browser must constantly recompute the position and styling of nodes. ![]()
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