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Rudi Hinds

Did you know that AI can significantly accelerate the speed of web development and reduce coding errors? This Guided Project is crafted for intermediate web developers eager to leverage the power of AI in streamlining their coding processes. Over this project, you will learn how to enhance code completion, generate contextual code suggestions, and interact with AI for coding insights using Tabnine within a NextJS environment.

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Did you know that AI can significantly accelerate the speed of web development and reduce coding errors? This Guided Project is crafted for intermediate web developers eager to leverage the power of AI in streamlining their coding processes. Over this project, you will learn how to enhance code completion, generate contextual code suggestions, and interact with AI for coding insights using Tabnine within a NextJS environment.

You'll optimize and extend an existing open-source NextJS application, navigating through a scenario that mimics real-world software development in a tech company. This project is unique because it applies AI directly in your coding workflow, improving both efficiency and code quality. To succeed in this project, familiarity with JavaScript, React, and basic usage of IDEs like Visual Studio Code is recommended. By the end of this project, you'll have the tools to be able to use a cutting edge AI coding assistant for advanced faster web development.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Designed for those already comfortable with JavaScript and React
Highly relevant for professional web developers
Emphasizes both efficiency and code quality
Suitable for those seeking advanced web development capabilities

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Reviews summary

Tabnine for nextjs workflow optimization

According to learners, this course serves as a practical and concise guide for integrating AI code completion into NextJS development. Students consistently praise its hands-on, guided project format, which provides immediate, real-world application and significantly enhances coding efficiency and speed. Many found the instructions clear and the instructor's pace appropriate. However, some reviewers, particularly those with more experience, felt the course lacked sufficient depth for intermediate developers, at times resembling an extended advertisement for Tabnine. A few also noted limitations with Tabnine's free tier, though recent reviews suggest improvements in lab environment responsiveness.
Recent improvements noted in lab stability.
"the lab environment is responsive."
"My only minor gripe is that sometimes the lab environment could be slow to load, but once it's up, it works fine."
"I found the overall environment setup and usage to be smooth."
Easy to follow with effective teaching pace.
"The instructions are clear, and the lab environment is responsive."
"The step-by-step guidance is easy to follow..."
"the instructor's pace is just right."
"Concise and effective. I gained valuable insights..."
Boosts coding speed and overall development productivity.
"solid introduction to utilizing Tabnine for enhancing code completion and suggestions..."
"Worth the time for any developer aiming for efficiency."
"The AI code suggestions from Tabnine are incredibly helpful, and... truly accelerated my development speed."
"I gained valuable insights into speeding up my coding with Tabnine."
Provides valuable real-world application and practice.
"The guided approach is perfect for grasping practical applications of AI in development."
"Excellent guided project. It delivers exactly what it promises..."
"Very practical and well-structured. The hands-on approach is commendable..."
"the practical exercises ensure you apply what you learn."
Full functionality may require a paid subscription.
"the free tier limitations of Tabnine meant some advanced features couldn't be fully explored without a subscription."
"The course felt a bit like an extended advertisement for Tabnine."
"I felt the course was more of a demo for a paid product than a deep dive into optimization."
May not challenge experienced developers sufficiently.
"Disappointed with the depth. As an intermediate developer, I was hoping for more advanced techniques..."
"felt very superficial, mostly just showing how to enable features."
"not worth the time if you're already familiar with basic IDE usage."
"I didn't feel it provided much beyond what one could figure out from Tabnine's own documentation."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Code Faster with Tabnine: Optimise a NextJS Application with these activities:
Review Web Development Fundamentals
Refreshing your foundational knowledge in web development will strengthen your understanding of the concepts and prepare you for the challenges of AI-powered web development.
Show steps
  • Review the basics of HTML and CSS.
  • Practice writing simple web pages.
  • Explore online resources and tutorials for further learning.
Follow AI Coding Tutorials
Completing tutorials will provide you with step-by-step guidance and hands-on experience with AI coding, enhancing your understanding of the concepts.
Browse courses on AI Development
Show steps
  • Search for AI coding tutorials online or on platforms like Coursera.
  • Find tutorials that are relevant to the topics covered in the course.
  • Follow the tutorials and complete the exercises.
Solve Code Challenge Problems
Solving coding challenges will strengthen your understanding of the concepts and improve your coding skills in the context of this course.
Browse courses on AI Coding
Show steps
  • Identify a coding challenge platform or website.
  • Choose a set of problems to solve.
  • Try to solve the problems on your own.
  • Review your solutions and identify areas for improvement.
Three other activities
Expand to see all activities and additional details
Show all six activities
Join a Coding Study Group
Participating in a study group allows you to engage with peers, share knowledge, and receive constructive feedback, fostering a collaborative learning environment.
Show steps
  • Find a study group or create your own with classmates or online.
  • Set regular meeting times.
  • Discuss course materials, work on coding projects together, and provide feedback.
Develop an AI Coding Project
Building an AI coding project enables you to apply the concepts learned in the course to a practical scenario, reinforcing your understanding and showcasing your skills.
Browse courses on AI Development
Show steps
  • Identify a project idea that aligns with your interests and course objectives.
  • Plan the project, including the features and technologies to be used.
  • Develop and implement the project using the skills learned in the course.
  • Test and refine the project to ensure it meets the desired outcomes.
Participate in AI Coding Competitions
Participating in competitions pushes you to apply your skills in a competitive environment, enhancing your problem-solving abilities and resilience.
Show steps
  • Identify and select AI coding competitions that are relevant to your interests.
  • Form a team or participate individually.
  • Prepare for the competition by practicing and developing strategies.
  • Participate in the competition and strive to perform your best.

Career center

Learners who complete Code Faster with Tabnine: Optimise a NextJS Application will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 44 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Code Faster with Tabnine: Optimise a NextJS Application.
Written by a leading AI researcher, this book addresses the critical challenge of ensuring that AI systems are designed to be beneficial and aligned with human values. It explains the potential risks of advanced AI and proposes a new foundation for AI development. is highly relevant to contemporary discussions on AI safety and ethics and is accessible to a broad audience.
Explores the potential impacts of AI on the future of humanity, covering a wide range of societal, philosophical, and ethical implications. It is written for a general audience and provides a broad overview of the opportunities and challenges presented by advanced AI. It's a must-read for anyone interested in the broader context and future directions of AI, offering valuable perspective beyond the technical aspects.
Co-authored by a co-founder of DeepMind, this recent book explores the transformative impact of AI and other frontier technologies on society and the challenges of controlling them. It discusses the concept of the “containment problem” and the potential implications for the future. provides a contemporary perspective on the challenges and opportunities presented by advanced AI.
A comprehensive guide covering the core technologies of front-end web development: HTML, CSS, and JavaScript, along with web graphics. is well-suited for beginners and serves as a solid introduction to the entire process of creating websites. It includes exercises and quizzes to reinforce learning. While it provides a broad understanding, readers looking to specialize in a particular area might need more focused resources later. The latest editions incorporate modern web standards and practices.
Offers a critical examination of the broader societal and environmental impacts of AI. It reveals the hidden costs and power structures behind AI technologies, going beyond the technical aspects to explore its political and environmental dimensions. This is an important read for gaining a comprehensive understanding of AI's real-world consequences and is relevant to discussions on ethical and responsible AI.
Transformers are a key architecture in modern NLP and are heavily used in large language models that power advanced code completion. focuses on using the Hugging Face library, a popular tool for working with transformers. It's highly relevant for understanding and implementing the cutting-edge AI models used in code completion.
A project-based introduction to Django, a high-level Python web framework. is ideal for beginners with some Python knowledge who want to learn full-stack web development. It guides readers through building several web applications, covering concepts like authentication, testing, and deployment. It's a practical and up-to-date resource for learning Django.
Provides a deeper dive into JavaScript as a programming language. It covers fundamental programming concepts and more advanced topics like asynchronous programming and object-oriented programming. It's highly regarded for its thoroughness and clear explanations, making it suitable for those who want to solidify their understanding of JavaScript beyond the basics. The latest editions are updated to cover modern JavaScript features, making it a relevant reference for contemporary practices.
Provides a practitioner-focused view of generative AI applications, including code generation. It covers architectural patterns, deployment, and ethical considerations. It's a valuable resource for understanding how generative AI is applied in real-world scenarios like code completion and the practicalities involved.
This classic and highly-regarded book on reinforcement learning, a key area in AI focused on how agents learn to make decisions. It covers fundamental concepts and algorithms in a clear and accessible manner. It is suitable for advanced undergraduate and graduate students and primary reference for researchers in the field. is essential for understanding learning algorithms in AI.
This interactive book provides a hands-on introduction to deep learning with code examples. It's a great resource for gaining practical experience with deep learning models that can be applied to code completion tasks. The interactive nature makes it particularly useful for learners who want to experiment with the concepts.
Focuses on the engineering aspects of building AI applications, particularly with the use of foundation models. It provides practical guidance for professionals and engineers on developing and deploying AI systems. It is highly relevant to contemporary AI practices and offers valuable insights into the practical challenges of bringing AI to life.
For back-end developers using Node.js, this book explores common design patterns and best practices for building scalable and maintainable server-side applications. It delves into asynchronous programming, module patterns, and architectural considerations specific to Node.js. It's a valuable resource for developers looking to deepen their understanding of Node.js development and build robust back-end systems.
Collection of practical recipes and solutions for common problems faced by Next.js developers. It covers a wide range of topics, including performance optimization, data fetching, routing, and error handling. Fernando Rojo, the author of the book, has extensive experience in building and deploying Next.js applications.
Offers a comprehensive introduction to pattern recognition and machine learning from a Bayesian perspective. It foundational text for those seeking a deeper theoretical understanding of the subject. While more mathematically rigorous, it valuable resource for advanced undergraduate students, graduate students, and researchers. It provides essential background for many AI techniques.
Provides insights into the global landscape of AI development, focusing on the competition between the US and China. It discusses the technological advancements, economic implications, and societal impacts of AI from a geopolitical perspective. This book is valuable for understanding the real-world context and global trends in AI, particularly for professionals and those interested in the business and policy aspects.
Provides an accessible overview of the different approaches to machine learning, explaining the major paradigms and their potential to create a universal learning algorithm. It good book for gaining a broad understanding of the various techniques used in AI and how they relate to each other. It's suitable for readers with some technical background but is generally accessible.
This tutorial widely recommended resource for learning the Ruby on Rails framework. It takes a test-driven development approach and guides readers through building a substantial web application. It covers not only Rails but also essential related technologies like Ruby, HTML, CSS, and SQL. It's suitable for those who want to learn full-stack development using a convention-over-configuration framework.
Presents ten futuristic short stories illustrating the potential impact of AI on various aspects of human life by 2041, followed by analysis from AI expert Kai-Fu Lee. It offers a thought-provoking and accessible look at potential near-future scenarios shaped by AI. This book is good for gaining imaginative insights into the potential societal applications and implications of AI.
Another foundational software development book with broad applicability to web development. It offers practical advice on a wide range of topics, including writing flexible and maintainable code, learning new technologies, and personal responsibility. These principles are invaluable for web developers at all stages of their careers. It emphasizes a pragmatic approach to building software, which is highly relevant in the ever-evolving web landscape.
Security critical aspect of web development. focuses on common web security vulnerabilities and provides practical guidance for developers to build more secure applications. It covers topics like authentication, authorization, input validation, and protecting against common attacks. It's an important read for all web developers to ensure the applications they build are safe and protected.
This book, often referred to as the 'Dragon Book', classic in the field of compiler design. It provides a strong foundation in the principles and techniques used in building compilers, which is highly relevant to understanding how IDEs perform tasks like parsing and static analysis for code completion. While not directly about code completion, it offers essential background knowledge on the underlying mechanisms.
Focuses on writing readable, maintainable, and well-structured code. While not specific to web development languages, the principles of clean code are universally applicable and crucial for building robust web applications, especially as projects grow in complexity. It's a valuable resource for developers looking to improve their coding practices and write more professional-grade software. It's more of a foundational software engineering book that is highly relevant to web development professionals.
This textbook offers a comprehensive and modern perspective on compiler construction. It covers both the theoretical foundations and practical aspects of building compilers, including topics like analysis and optimization. Understanding these concepts is crucial for comprehending how code completion tools analyze code to provide suggestions. valuable reference for those wanting to delve deeper into the implementation details.
This accessible textbook provides a concise introduction to the core concepts and subdisciplines of AI, including agents, logic, search, machine learning, and neural networks. It presents algorithms and applications with a hands-on approach and includes exercises for practice. is suitable for undergraduate students and those new to the field looking for a solid foundational understanding.
For those moving into back-end development and working with databases and distributed systems, this book is essential. It provides a deep understanding of the fundamental concepts behind building scalable and reliable data systems, which are at the heart of many modern web applications. It's a challenging read but highly rewarding for experienced developers looking to build robust back-end infrastructure. It's a key resource for understanding the complexities of data handling in web development.
A strong understanding of databases and SQL is essential for most back-end web developers. highlights common mistakes and suboptimal practices when working with SQL databases. It provides solutions and better approaches to database design and querying, which can significantly impact the performance and maintainability of web applications. It's a valuable resource for developers working extensively with databases.
Part of a series covering compiler implementation in different languages, this book offers a practical approach to building compilers. It provides concrete examples and implementations, which can be helpful for understanding the practical challenges and techniques involved in the analysis and processing of code that underpins code completion features.
Comprehensive guide to building server-rendered React applications with Next.js. It covers everything from setting up a new project to deploying it in production. The author, Ben Hong, core team member of Vercel, the company that created Next.js.
While not solely focused on AI, this book examines the potential future of humanity, exploring how technological advancements, including AI and biotechnology, might reshape our species. It provides a broad historical and philosophical context for considering the trajectory of human development in the age of AI. is valuable for its big-picture perspective on the potential long-term impacts of AI.
Delves into the foundational concepts of programming languages from a more practical perspective than some purely theoretical texts. It covers topics like semantics and type systems, which are directly relevant to the analysis performed by code completion tools. It provides a solid understanding of the principles behind language design and implementation.
For developers working on larger, more complex web applications, understanding microservices architecture is increasingly important. explores the concepts, benefits, and challenges of designing and implementing microservices. It covers various patterns and best practices for building distributed systems. It's a more advanced topic but highly relevant for those involved in building scalable web platforms.
Foundational text on the principles and practices of continuous integration and continuous delivery. These concepts are vital for modern web development teams to release software frequently and reliably. It covers automation, testing strategies, and deployment pipelines. It's a key resource for understanding the operational aspects of delivering web applications.
Provides a comprehensive introduction to natural language processing (NLP). Given that code form of language, NLP techniques are highly relevant to code completion, particularly for understanding context and generating code suggestions. This book offers valuable insights into the linguistic aspects of code completion. While not solely focused on code, it provides crucial foundational knowledge for understanding how language models are applied.
Explores the design, implementation, and runtime behavior of programming languages. Understanding these aspects is beneficial for comprehending how code completion tools interact with different languages and provide context-aware suggestions. It bridges the gap between theoretical concepts and practical language implementation.
While a general algorithms book, CLRS fundamental text in computer science. The algorithms and data structures covered are essential for implementing many features found in IDEs and code completion tools, such as efficient searching, parsing, and data management. It provides the algorithmic backbone for building performant development tools.
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Traces the evolution of information networks throughout history, culminating in the age of AI. It explores how the flow of information has shaped societies and power structures. While offering a historical perspective, it provides valuable context for understanding the significance of AI as a transformative information technology.
Foundational text in statistical NLP, covering techniques for processing and understanding human language. These statistical methods are highly relevant to modern code completion systems that use machine learning to predict and suggest code based on patterns learned from large code corpora. It provides a strong theoretical basis for statistical approaches to code analysis.
This comprehensive AI textbook provides a broad understanding of artificial intelligence principles and techniques. As code completion increasingly utilizes AI, particularly machine learning and natural language processing, this book offers valuable context on the AI landscape and relevant algorithms. It's a good resource for understanding the AI foundations behind modern code completion.
Provides a foundational understanding of the theoretical underpinnings of computation, including topics like automata, computability, and complexity. While abstract, these concepts are relevant to understanding the limits and capabilities of algorithms used in code analysis and completion. It's a more theoretical background text.
Practical guide to securing Next.js applications. It covers topics such as authentication, authorization, and data encryption. Ruben Bridgewater, the author of the book, security engineer with experience in building and securing web applications.
Guide to using Next.js for building enterprise-scale web applications. It covers topics such as scalability, reliability, and deployment. Chris Nwamba, the author of the book, software architect with experience in building and deploying large-scale web applications.

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