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Rudi Hinds

In this project-based course, you'll step into the role of a developer using Cody, an AI-enhanced coding assistant, to refine and advance an open-source software project. You'll get hands-on with Cody's core capabilities such as Autocomplete, Chat, and Commands to improve code quality and efficiency.

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In this project-based course, you'll step into the role of a developer using Cody, an AI-enhanced coding assistant, to refine and advance an open-source software project. You'll get hands-on with Cody's core capabilities such as Autocomplete, Chat, and Commands to improve code quality and efficiency.

You will begin by establishing a solid coding environment with VS Code and Cody, progressing to solve real-world software development problems like you would in a real project development workflow.

Throughout this project you will immediately immerse yourself into a large and complex codebase, quickly gaining an understanding of what it does, and will have significantly enhanced the codebase with your contributions using Cody. This project is tailored for aspiring developers who are eager to see how AI can bridge gaps in their coding workflow, and thus, a basic understanding of programming and familiarity with JavaScript is recommended. By the end, you will have a deeper insight into AI's role in modern software development and be better equipped to tackle complex coding challenges.

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What's inside

Syllabus

Project Overview
In this project-based course, you'll step into the role of a developer using Cody, an AI-enhanced coding assistant, to refine and advance an open-source software project. You'll get hands-on with Cody's core capabilities such as Autocomplete, Chat, and Commands to improve code quality and efficiency. You will begin by establishing a solid coding environment with VS Code and Cody, progressing to solve real-world software development problems like you would in a real project development workflow. Throughout this project you will immediately immerse yourself into a large and complex codebase, quickly gaining an understanding of what it does, and will have significantly enhanced the codebase with your contributions using Cody. This project is tailored for aspiring developers who are eager to see how AI can bridge gaps in their coding workflow, and thus, a basic understanding of programming and familiarity with JavaScript is recommended. By the end, you will have a deeper insight into AI's role in modern software development and be better equipped to tackle complex coding challenges.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Uses a project-based learning (PBL) approach, which can foster deep understanding and retention of knowledge
Emphasizes hands-on application of AI in coding, addressing a growing industry need and preparing students for the future job market
Students collaborate on a complex codebase, simulating real-world software development workflows and fostering teamwork skills
Requires basic programming understanding and familiarity with JavaScript, catering to aspiring developers with some coding experience
Does not provide a comprehensive introduction to programming, making it unsuitable for complete beginners

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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 Coding With Cody Sourcegraph: Optimise Open Source Code with these activities:
Read 'Automate the Boring Stuff with Python'
Establish a solid foundation in Python to prepare for the course
Show steps
Follow Tutorials on Cody's Documentation
Expand your knowledge of Cody's features and usage
Show steps
  • Browse the Cody documentation
  • Select a tutorial relevant to your current project
  • Follow the tutorial steps and apply them to your code
  • Experiment with the features and techniques introduced in the tutorial
Coding Challenges on LeetCode
Sharpen your coding skills by solving coding problems
Browse courses on Coding
Show steps
  • Choose a problem set and difficulty level
  • Analyze the problem and develop an algorithmic solution
  • Implement your solution in code
  • Test and debug your code
  • Review solutions and optimize your approach
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a Personal Website
Apply your understanding of HTML, CSS, and JavaScript in a practical setting
Browse courses on HTML
Show steps
  • Plan and design your website's structure and layout
  • Code the HTML framework and CSS styles
  • Add interactivity with JavaScript
  • Test and deploy your website
Attend a Workshop on AI-enhanced Coding
Gain insights and network with experts in AI-enhanced coding
Browse courses on AI
Show steps
  • Research and find a relevant workshop
  • Register for the workshop
  • Attend the workshop and participate actively
  • Connect with the speakers and other attendees
Compile Resources on Open-source Software Development
Gather and organize valuable resources for future reference and sharing
Browse courses on Open-Source Software
Show steps
  • Identify and search for relevant resources
  • Collect and curate articles, tutorials, and tools
  • Categorize and organize the resources
  • Create a central repository or documentation to share the compilation
Develop a Tutorial on Cody's Core Capabilities
Deepen your understanding of Cody's functionality by explaining it to others
Show steps
  • Outline the key capabilities of Cody
  • Gather examples and demonstrations
  • Write the tutorial, including clear explanations and code snippets
  • Create supporting materials, such as videos or interactive demos
  • Publish and share your tutorial

Career center

Learners who complete Coding With Cody Sourcegraph: Optimise Open Source Code will develop knowledge and skills that may be useful to these careers:
Software Developer
As a Software Developer, you will be responsible for designing, developing, and maintaining software applications. This course will help you build a strong foundation in AI-enhanced coding, which is essential for success in this role. You will learn how to use Cody to improve code quality and efficiency, which will make you a more productive and effective developer. Additionally, this course will give you experience working on a large and complex codebase, which is a valuable skill for any Software Developer.
Software Engineer
As a Software Engineer, you will be responsible for designing, developing, and maintaining software systems. This course will help you build a strong foundation in AI-enhanced coding, which is essential for success in this role. You will learn how to use Cody to improve code quality and efficiency, which will make you a more productive and effective engineer. Additionally, this course will give you experience working on a large and complex codebase, which is a valuable skill for any Software Engineer.
AI Engineer
As an AI Engineer, you will be responsible for designing, developing, and maintaining AI systems. This course will help you build a strong foundation in AI-enhanced coding, which is essential for success in this role. You will learn how to use Cody to improve code quality and efficiency, which will make you a more productive and effective engineer. Additionally, this course will give you experience working on a large and complex codebase, which is a valuable skill for any AI Engineer.
Data Scientist
As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting data to help businesses make decisions. This course will help you build a strong foundation in AI-enhanced coding, which is increasingly important for Data Scientists. You will learn how to use Cody to improve the efficiency and accuracy of your data analysis, which will make you a more valuable asset to any organization.
Machine Learning Engineer
As a Machine Learning Engineer, you will be responsible for designing, developing, and maintaining machine learning models. This course will help you build a strong foundation in AI-enhanced coding, which is essential for success in this role. You will learn how to use Cody to improve the quality and efficiency of your machine learning models, which will make you a more productive and effective engineer.
Product Manager
As a Product Manager, you will be responsible for managing the development and launch of new products. This course will help you build a strong foundation in AI-enhanced coding, which is increasingly important for Product Managers. You will learn how to use Cody to improve the efficiency and effectiveness of your product development process, which will make you a more valuable asset to any organization.
Technical Writer
As a Technical Writer, you will be responsible for creating documentation for software and other technical products. This course will help you build a strong foundation in AI-enhanced coding, which can make you a more effective Technical Writer. You will learn how to use Cody to improve the quality and accuracy of your documentation, which will make it easier for users to understand and use your products.
UX Designer
As a UX Designer, you will be responsible for designing the user experience for software and other products. This course will help you build a strong foundation in AI-enhanced coding, which can make you a more effective UX Designer. You will learn how to use Cody to improve the usability and accessibility of your designs, which will make your products more enjoyable and easy to use.
QA Engineer
As a QA Engineer, you will be responsible for testing software to ensure that it meets requirements and is free of defects. This course will help you build a strong foundation in AI-enhanced coding, which can make you a more effective QA Engineer. You will learn how to use Cody to automate your testing process, which will save you time and effort.
DevOps Engineer
As a DevOps Engineer, you will be responsible for bridging the gap between development and operations teams. This course will help you build a strong foundation in AI-enhanced coding, which can make you a more effective DevOps Engineer. You will learn how to use Cody to automate your deployment process, which will save you time and effort.
Cloud Architect
As a Cloud Architect, you will be responsible for designing and managing cloud infrastructure. This course will help you build a strong foundation in AI-enhanced coding, which can make you a more effective Cloud Architect. You will learn how to use Cody to automate your cloud management tasks, which will save you time and effort.
Security Engineer
As a Security Engineer, you will be responsible for protecting software and other products from threats. This course will help you build a strong foundation in AI-enhanced coding, which can make you a more effective Security Engineer. You will learn how to use Cody to automate your security testing process, which will save you time and effort.
Data Analyst
As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting data to help businesses make decisions. This course will help you build a strong foundation in AI-enhanced coding, which is increasingly important for Data Analysts. You will learn how to use Cody to improve the efficiency and accuracy of your data analysis, which will make you a more valuable asset to any organization.
Business Analyst
As a Business Analyst, you will be responsible for analyzing business processes and recommending improvements. This course will help you build a strong foundation in AI-enhanced coding, which can make you a more effective Business Analyst. You will learn how to use Cody to automate your data analysis and reporting tasks, which will save you time and effort.
Project Manager
As a Project Manager, you will be responsible for planning, executing, and closing projects. This course may be useful for you if you want to learn more about AI-enhanced coding, which can be used to automate project management tasks.

Reading list

We've selected 13 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 Coding With Cody Sourcegraph: Optimise Open Source Code.
Is the definitive guide to the Java programming language. It covers the entire language specification, as well as a number of advanced topics.
Must-read for any Java developer. It covers a wide range of topics, including object-oriented design, concurrency, and performance tuning.
Comprehensive guide to software development. It covers the entire software development process, from requirements gathering to deployment.
Must-read for any organization that is looking to adopt DevOps. It provides a comprehensive overview of the DevOps process, and includes a number of case studies from organizations that have successfully implemented DevOps.
Comprehensive guide to software testing. It covers the entire software testing process, from planning to execution.
Must-read for any software developer. It provides a set of principles and practices that can be used to write clean, maintainable code.
Classic work on design patterns. It provides a comprehensive overview of the most important design patterns, and explains how to use them effectively.
Good introduction to Java programming for beginners. It covers the basics of Java syntax, data types, and control flow. It also includes a number of exercises and examples to help you learn the material.
Classic work on software engineering. It discusses the challenges of software development, and provides a number of insights into how to overcome them.
Must-read for any software development manager. It provides a number of insights into how to create productive software development teams.
Provides a behind-the-scenes look at how Google develops software. It covers a wide range of topics, from the company's software development process to its use of open source software.
Good introduction to Java programming for beginners. It covers the basics of Java syntax, data types, and control flow. It also includes a number of exercises and examples to help you learn the material.

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