Code Review

Code Review is a systematic examination of computer source code, intended to find and fix mistakes overlooked during the initial development phase. Coursera's Code Review skill catalogue guides you through the process of reviewing code to ensure quality, maintainability, and conformance to standards. You'll learn to identify coding errors, vulnerabilities, and inconsistencies while also understanding best practices for writing and reviewing code. As part of this, you'll gain insights into various review techniques, feedback approaches, code refactoring, and the use of different code review tools. This skill is crucial for software developers, quality assurance specialists, and anyone involved in the software development life cycle.
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Results for "code review"

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Software Architecture, OpenAI, Code Review, Unit Testing, Software Design, API Design, LLM Application, Debugging, Software Development, Application Development, Application Design, Back-End Web Development, Database Design, Python Programming, Automation, Version Control

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative AI Agents, Google Gemini, OpenAI, Performance Tuning, Large Language Modeling, Software Development Tools, Code Review, Application Deployment, Software Documentation, LLM Application, Software Engineering, Artificial Intelligence, AI Personalization, Software Development, Software Quality Assurance, Debugging, Automation

  • Status: Preview

    Coursera Instructor Network

    Skills you'll gain: Amazon Web Services, Code Review, Integrated Development Environments, Software Development Tools, Software Development, Development Environment, Generative AI Agents, Automation, Debugging

  • Status: New
    Status: Free Trial

    Skills you'll gain: Code Review, Software Development Tools, Software Documentation, DevOps, Generative AI Agents, Maintainability, Integrated Development Environments, CI/CD, Secure Coding, Generative AI, Test Automation, Software Development, GitHub, Software Technical Review, Amazon Web Services, Software Architecture, Software Engineering, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, AI Personalization

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Generative AI, Code Review, Program Development, Software Development Methodologies, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Anthropic Claude, LLM Application, Debugging, ChatGPT, Generative AI, Multimodal Prompts, Cloud API, Pseudocode, Integrated Development Environments, Artificial Intelligence, Software Development Tools, Responsible AI, Software Installation, Code Review, Application Programming Interface (API), System Configuration, Web Development Tools, Software Development, Program Development

  • Status: New

    Skills you'll gain: Unit Testing, Google Gemini, Integrated Development Environments, Code Review, Software Development Tools, Google Cloud Platform, Application Development, Software Documentation, Maintainability, Debugging, Prompt Engineering

  • Status: New

    Skills you'll gain: Unit Testing, Google Gemini, Code Review, Software Development Tools, Integrated Development Environments, Application Development, Maintainability, Software Testing, Software Documentation, Debugging

  • Status: Free Trial

    Skills you'll gain: GitLab, AI Product Strategy, Continuous Integration, Software Development Tools, Code Review, Integrated Development Environments, Computer Programming Tools, Development Environment, Debugging, Secure Coding

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Generative Model Architectures, Code Review, Data Ethics, Artificial Intelligence, Object Oriented Programming (OOP), AI Product Strategy, Debugging, Artificial Neural Networks, Computer Programming, Program Development, Data Processing, Maintainability, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Problem Solving, Data Analysis, Critical Thinking

  • Coursera Project Network

    Skills you'll gain: Code Review, Debugging, Scripting, Python Programming, Programming Principles, Software Development

  • Status: New

    Skills you'll gain: Unit Testing, Google Gemini, Code Review, Software Development Tools, Maintainability, Software Testing, Application Development, Software Documentation, Debugging, Technical Documentation, Real Time Data

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  • This role has a $143,232 median salary ¹.

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    A Software Developer / Engineer is responsible for developing the software systems and platforms that power businesses and organizations.

    This role has a $143,232 median salary ¹.

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