Search results for "cursor":

Welcome to my talk on transforming team productivity with JNI technologies. Meet Adir, an AI enthusiast. I'm Dennis, the director of AI engineering at Elementor. I'll share how AI has revolutionized my team's work. The turning point? Cursor. Cursor's organic adoption revolutionizes developer workflows. Streamlining PR reviews with Cursor automation. Simplifying GCP Secrets Manager updates with Cursor. Efficiency boost with PR automation using Cursor. Simplifying GCP Secrets Manager updates effortlessly. Empowering engineers with AI hacks for enhanced productivity. AI-driven efficiency boost through Devin's workflow integration and onboarding transformation with Rovo. AI-driven transformation of onboarding process with Devin and Rovo for efficient code understanding and task delegation. Improving code efficiency by formalizing cursor rules on individual, team, and company levels for consistent outcomes and implementing AI-powered code generation for enhanced quality and productivity. Enhancing Workflow Efficiency with Zapier AI Integrations and Automated Newsletter Creation for Streamlined Communication and Enhanced Productivity. Unlocking Insights from User Data with AI-Categorized Feedback for Product Improvement and Quality Enhancement. AI-Powered Insights, Fixes, and Adoption Strategies for Team Efficiency and Quality Enhancement. AI Adoption Challenges and Strategies: Start Small, Gain Trust, Invest in Documentation. Over-Reliance on AI and Maintaining Engineering Mindset

AI is transforming software engineering by using agents to help with coding. Agents can autonomously complete tasks and make decisions based on data. Collaborative AI and automation are opening new possibilities in code generation. Bolt is a powerful tool for troubleshooting, bug fixing, and authentication. Code generation tools like Copilot and Cursor provide support for selecting models and codebase awareness. Cline is a useful extension for website inspection and testing. Guidelines for coding with agents include defining requirements, choosing the right model, and frequent testing. Clear and concise instructions are crucial in AI-generated code. Experienced engineers are still necessary in understanding architecture and problem-solving. Energy consumption insights and sustainability are discussed in the Talk.

Elio's tips for perfect live coding: Minimize distractions, prepare well with light themes and larger fonts, adjust cursor style, avoid hover panels. Stay focused on one application during presentations. Changing settings for clarity, stressing the importance of tools like Demo Time for scripted presentations within Visual Studio Code, eliminating context switching between applications, and facilitating audience interaction with shared repositories. Exploring actions in Demo Time: creating code, opening files, highlighting code, and executing VS Code commands for a cleaner presentation. Utilizing Slides for Markdown presentations within Demo Time.

I'll walk through some of the ways I set up Cursor to help speed up my full stack workflow. The main thing to check is indexing the code base. Cursor also looks at the get graph file relationships. Another important setting is large context, which allows absorbing larger files and multiple files of context in the prompt window. Iterating on lints helps find and fix errors faster. Web search tools and uploading your own docs are also available to enhance the prompt window. These are all preferences, including auto select, YOLO mode, and models. Rules are also crucial as they guide the model to understand your workflow. Implement best practice error handling and adjust rules as the models and system prompts change. MCPs like sequential thinking, Postgres SQL, and Puppeteer help refine thoughts and automate workflows. Creating a product requirements document in a .md file allows AI to ground itself in project information. The game was successfully implemented and all items were checked off. Debugging strategies involve adding debug logs to help identify issues. Use commit messages to provide clear documentation for changes. Demonstrating the use of AI in debugging by setting up and utilizing debug logs. Showcasing the benefits of providing debug information to resolve issues. Overview of various topics including indexing rules, linting, MCPs, PRDs, tech stacks, and checklists.

The Talk covers various tips and features of using VS Code, including the command palette, Zen mode, external terminals, and debugging. It also highlights advanced editing and refactoring features, Git integration, and the use of dev containers. The speaker demonstrates how to set up a dev container for a Python app, run code in a container, and create and configure dev containers. The benefits of using dev containers are also discussed, such as eliminating manual configuration, handling dependencies, and facilitating team-based development.

Discussing building better UIs faster with AI, emphasizing the use of LLMs as predictive text models and the need to maximize their smart aspects in coding and UI development. Exploring file context management in Cursor IDE and demonstrating quick UI updates using AI for coding efficiency and real-time results. Discussing advanced workflows for efficient development using feedback-driven approaches and incorporating test-driven development for iterative and automated testing in Cursor IDE. Exploring advanced prompt tricks in Cursor IDE for efficient development by writing tests first, updating code iteratively, and enabling autorun mode for automated testing and bash commands. Cursor's Annoying Prompt Behavior, Automated Testing Benefits, and Test-Driven Development for Reliable Code. AI Feedback Importance and AI Testing Complexity with Clear Goals. AI Challenges, Visual Front-End Focus, and Fusion Preview. Integration of Figma Designs for Visual Tweaks, Exploring New Features and Design Systems, Updating Customers Tab and Making Visual Edits, Making Carousel and Visual Updates, Granular Design Updates and AI Integration, Dynamic Updates and Component Refactoring, Tagging Builder Bot for Automated Code Updates.

JavaScript is widely used in web, mobile, and backend development, and now it is also being used to create TV apps. TVs with web-based operating systems can be targeted with JavaScript applications, and React is commonly used for TV app development. React Native allows for cross-platform TV app development, except for Roku. User interactions and focus management are important considerations in TV app development. Performance optimization is crucial for TV apps, as TVs have lower device scores and limited RAM. Spatial virtualization can significantly improve TV app performance.

The Playwright Test Runner is a cross-browser web testing framework that allows you to write tests using just a few lines of code. It supports features like parallel test execution, device emulation, and different reporters for customized output. Code-Gen is a new feature that generates code to interact with web pages. Playwright Tracing provides a powerful tool for debugging and analyzing test actions, with the ability to explore trace files using TraceViewer. Overall, Playwright Test offers installation, test authoring, debugging, and post-mortem debugging capabilities.

Speaker discusses the challenges in defining web speed metrics and the importance of non-hackable user behavior metrics. The impact of survivorship bias on data analysis is highlighted, along with global internet access factors and the correlation between web vitals and business outcomes. User perception of app performance, UX research impact on API design, and navigating data analysis biases are also covered. The talk emphasizes the need to connect technical metrics to business outcomes for app optimization and success.

Exploring AI's impact on React coding quality and the importance of context, tools, and practices in leveraging AI effectively. AI as a force multiplier, differences between vibe coding & AI-assisted engineering, AI models' competencies in React prompts, and React developers' favorable position amidst AI advancements. AI's implications for React development, complexity cliff in React work, and AI's design challenges for React developers. React work's complexity cliff, Design Arena benchmarks for AI design capabilities, AI's design challenges for React developers. AI's role in visual design control, Design Arena's insights on scaffolding impact, AI's UI scaffold capabilities and human judgment necessity. Vercell's Next.js evals, Webbench by ByteDance, and Web Dev Arena insights on AI performance in web development. Gemini 3 and GPT-5 catching up in design models, exploring website code generation, and design sensibility in AI for React workflow. Solving the purple problem in AI training, tips for using AI in React development for building sites, and managing AI like a junior developer. Evaluating AI's performance in complex tasks, lessons on using AI like a developer, and the importance of specificity and human oversight in AI usage. Enforcing productivity and supervision, addressing context failures through engineering and providing comprehensive context for agent performance. Template for context engineering, controlling tooling quality, using Context-7 for fresh docs and examples, leveraging MCP servers for real data, and improving overall quality loop. Connecting tools for closed-loop coding, Vive coding for rapid product creation, UI components for isolated, reusable components. UI components arena focus on isolated, reusable components and visual comparisons. Guidance for UI component generation and complex 3D and data visualization models for interactive experiences. AI assistants integration strategies for 3D and data visualization. Importance of specific details like libraries and scene descriptions for optimal AI assistance. Balancing control with AI model generation and the critical factors in AI code success or failure. Debugging workflow lessons applicable to all; New flow state in AI-assisted development focusing on orchestration and code creation; Gemini 3 launch for web development and design leadership. Website aesthetics and design improvements; Proactive tool utilization for React devs; Embrace AI for faster product development. AI in automated debugging with AI agents; Limitless potential of AI in coding quality; Image generation tools for slides; Addressing security and architectural regressions in AI-generated code. AI's Impact on Future Frameworks and Team Alignment in Workflow Standardization. Strategies for Context Bugs and Workflow Optimization.