Are you struggling with lengthy turnaround times for website and app updates? Developers know the struggle of picking the right components (or reinventing the wheel) when it comes to coding new designs. Meanwhile, business teams are held back from going live, and everyone is annoyed. In 2024, this shouldn't be the case. Not when you can use AI to go from design to live with enormous efficiency. Read the design-to-code tooling guide to learn: The impact of design-to-code on workflows and productivity, Going from design to live in half the time, Practical implementation steps. Get the guide from Builder.io

Does shipping digital experiences quickly mean compromising on quality? Not necessarily. AI and visual development create new ways to build, iterate upon, and optimize applications and websites. This live session will cut through the hype and provide a realistic view of how traditional CMS architecture misses the mark and how emerging technologies address long-standing challenges: > How visual development + AI can dramatically accelerate your workflow > The power of Generative UI and Structured UI in modern web development > Real-world examples of organizations shipping digital experiences 10x faster

Creo helps developers to rapidly build internal tools by providing an AI-powered solution. Developers describe what they want and it handles the UI, authorization, approvals, auditing, and deployment, generating React code that is customizable.

AI design tools, like Midjourney, DALL-E, and Adobe Sensei, enhance the design process by handling repetitive tasks, analyzing data, and generating ideas. While they offer speed and efficiency, they lack the human touch needed for emotional and cultural nuances. The future of design lies in blending AI's capabilities with human creativity, allowing designers to focus on strategic and creative aspects and creating more impactful and emotionally resonant work.

AI tools won't replace UX designers soon as the currently available LLM-based tools are not shortcutting steps in the design process yet. Designers should avoid using AI to generate user data or research findings due to ethical concerns and shouldn't expect significant value from AI tools.

This developer inlined their CSS and split it into critical and non-critical sections to optimize their website’s loading speed, leading to a 22% reduction in First Contentful Paint time. Moving minor JavaScript logic into static HTML generation further improved load times slightly. These optimizations ultimately increased page views by 32% over one week.

AI tools simplify user research and provide new ways to gather and analyze data. AI can be used to automate the analysis of large datasets, summarize insights from open-ended survey responses and interview transcripts, and more. It enables businesses to scale user research without adding workload while still ensuring a high level of accuracy. This post walks through examples of how to use ChatGPT for survey analysis and Fathom for interview analysis.

AI now handles 60-70% of marketing workflows, enabling smaller teams to achieve higher productivity. The rise of AI in marketing has also led to faster product launches, reducing time by 50-60%. Key tools include MarketMuse for white papers, Grammarly for content refinement, and Substack and Convertkit for thematic newsletters. Hootsuite, Taplio, and Buffer manage social media engagement, while Knotch or Chartbeat track user interactions and sentiment. Lately and Circleboom facilitate content distribution across platforms and communities.

Iterative design enhances website development by incorporating continuous user feedback to refine and improve the user experience. This approach involves four key stages: research and ideation, prototyping, testing and evaluation, and refinement. By focusing on user-centered design, iterative methods reduce costly errors, ensure more effective websites, and foster better collaboration among development teams, leading to successful outcomes.

AI integration has enabled teams to scale content production efficiently, reducing operational costs by up to 30%. Teams now rely on these tools for tasks like SEO optimization, FAQ generation, and article drafting. All AI-generated content should undergo thorough editing to address errors like hallucinations and formulaic language. Custom AI models tailored to brand voice and tone are becoming increasingly important, as they ensure consistency across content while maintaining a personalized brand identity, allowing marketers to focus on higher-level strategic initiatives.

This page contains several anecdotes from developers on custom tools they either built or witnessed internally that helped teams succeed in automation. The examples include a test execution tool that performed 230 tests in 3 hours, a script that writes hundreds of tests for a single service then extracts all the variables and displays their data types and formats, a visual regression tool, and a notification system. Links to communities where people discuss software testing and automation are available.

AI tools like GitHub Copilot enhance programming productivity but risk eroding essential coding skills. Over-reliance on AI-generated code can lead to quality, security, and maintainability issues and reduce learning opportunities. These tools may also limit creative problem-solving and foster a false sense of expertise among developers.

AI agents will soon transform how information is accessed online, with these autonomous applications replacing the need for humans to visit websites. This shift means that traditional web design and user interfaces will become less relevant, as AI agents will handle data collection and task execution. For marketers, this implies a need to adapt strategies by creating content and APIs optimized for AI interactions rather than human engagement.

Minor issues in app development and speed can become significant problems in areas with slow Internet. While developers shouldn't be expected to spend excessive time on extreme cases, it's important to acknowledge elements of websites that may perform worse with slower internet. Apps should be resilient enough to handle basic tasks like transmitting text without getting stuck due to hardcoded timeouts.

You can speed up client-side rendered apps by preloading the necessary page chunks before they're needed, avoiding delays caused by lazy loading. By injecting a small script during the build process, you can make sure that route-specific chunks load in parallel with the app's entry point.

UI animations enhance user experience and usability. Thoughtful animations, like mobile menu micro animations and gamified elements, create positive user associations. Tools like Flowmapp assist in planning user flows and designing interfaces.

Tired of getting bogged down in pixel-perfect tweaks instead of building interesting features? Had enough back and forth with marketers and designers? Read the new Ebook by builder.io to learn how top dev teams have broken free from the limitations of traditional headless CMSs with the help of AI and visual development platforms. Download the guide (free)

AI tools like GitHub Copilot are making programmers worse at programming. These tools can erode fundamental programming skills and create a false sense of expertise. Relying on them without a deep understanding of the code and the ability to problem-solve independently will make developers dependent on AI.

Software development is more than just coding. AI tools like ChatGPT help with specific tasks, but they can't replace the full range of developer responsibilities, which include design, deployment, gathering requirements, and more. Engineering is also about managing complexity - AI may not be able to translate business problems into software solutions properly. The market for technology is expanding, so while AI may automate some tasks, the overall demand to solve business problems will continue to grow.

A list of tools to test any website that includes tools for measuring download speed, monitoring user experience, testing accessibility, and locating broken links. All of the tools have free plans, while most also offer premium options.

AI tools like Devin claim to replace software engineers. These startups face an uphill battle against established AI coding assistants like GitHub Copilot, so their claims need to be bold to get attention. For decades, there have been attempts to automate away the need for programmers, yet software engineers remain high in demand. The future likely lies in improved versions of existing AI coding assistants, not standalone "AI developers."

Teams should focus on fewer tasks and allow for more downtime, which counterintuitively leads to faster feature delivery and increased value. When working on too many things at once, teams may actually deliver things slower because there are too many things that are in a work-in-progress state. Smaller, faster completions keep momentum going.

First, test different AI apps, platforms, or products that'll help scale production without sacrificing quality. Then, put together an audit and internal repository of content and resources. Repurpose that content and create a workflow that's able to post content to LinkedIn for internal SMEs and thought leaders based on their niche, expertise, and voice. At the same time, fill content gaps based on customer research. Turn transcripts from audio-visual recordings into content for the company blog. Instead of ebooks, white papers, and one-pagers, optimize landing pages that convert and ensure they're always driving people to the what's-next step.

Together AI and Meta have partnered to make a tool that enables users to build entire apps from just a prompt on the LlamaCoder platform. It is akin to Claude Artifacts but purely created to show off the speed of Together AI's inference engine.

Atlassian's emphasis on "developer joy" as a strategic priority has led to a substantial increase in developer satisfaction and productivity. Through targeted improvements in tools and processes, it has achieved measurable success, including a 50% reduction in pull request cycle time and a 3x increase in deployment frequency. This focus on joy not only enhances individual performance but also paves the way for broader team well-being and success.

Mini-tools - simple, standalone apps that showcase a company's core technology - are gaining traction as a marketing strategy. Examples include Copy.ai's cold email generator, Wix's QR code generator, and Canva's color palette generator, which provide free value while subtly promoting the main product. The key to success lies in making these tools independent, easy to use, and immediately valuable without requiring sign-ups.

Improving software design to support new features is a process that inevitably involves a temporary decline in performance before reaching a better state. The software designer's role is to envision the desired state and strategically manage the transition process, considering factors like the size of improvement steps, the time to achieve initial value, and the rate of improvement after the initial dip. This process is called "succession" and involves making choices about the design transformation, sequencing steps to minimize disruptions, and balancing risk with efficiency.

The web has seen an increase in complexity, slowing it down significantly for users with low-end devices or slow internet connections. Modern web apps are CPU-hungry. Even with fast internet, websites like Threads and Patreon take a long time to load on low-end phones because of CPU demands. Most developers believe that hardware will get faster and solve performance issues, but hardware improvements slow down over time. Instead, deliberate optimization to reduce CPU impact is crucial in making the web usable for everyone as web bloat locks people from countries with slower internet speeds out.

This case study explains the impact of inlining CSS on a website's loading times and traffic.

Developers share their web dev “hacks” and stories. One developer improved a slow SQL scheduling algorithm by refactoring the code and converting sub-selects to joins. Others found creative ways to work around limitations in older web tech, like using system commands for a school prank or inventing a precursor to AJAX for a chat application.