Technical Skills: Essential Expertise
of Our React.js Developers

1. Category #1:

   Tech & Coding

   Within this category, we evaluate essential abilities that significantly impact the caliber and productivity of software creation. Confirming expertise in these aspects ensures our developers can construct sturdy, easily maintained solutions while seamlessly cooperating with colleagues.

   • The engineer with these competencies:

   • Frameworks
     & Libraries

     • Has knowledge of popular frameworks and libraries (e.g. React, Angular, Next.js), their features, and optimal use cases
     • Is aware of new solutions introduced in the world of their chosen tool
     • Knows state management libraries and understands when and which library to use depending on the business requirements of the solution

   • TypeScript
     Knowledge

     • Has a good understanding of TypeScript (e.g., knows and can use advanced typing)
     • Can explain the relationship between TypeScript and JavaScript
     • Can skillfully use existing types and create new advanced types for the solution

   • Design Patterns

     • Consciously uses established practices and patterns
     • Chooses solutions that ensure ease of maintenance for their written code

   • High-Quality
     Code

     • Produces code that is reliable, easy to maintain, reusable, and can be used across different platforms; writes tests that cover various test cases and are independent
     • Knows and applies metrics that demonstrate the good quality of their written code

   • Automated
     Tests

     • Can write automated tests (unit, integration, end-to-end)
     • Can explain the role of different types of tests in the entire testing pyramid
     • Can (in collaboration with other developers and testers) make and justify decisions about the scope of test automation in various contexts (business, technical, human)

   • Git Knowledge

     • Is proficient with the Git version control system
     • Knows various Git workflows and can suggest the selection of one depending on the context (business, technical, human)
     • Can implement the chosen workflow in a project

   • API Knowledge

     • Understands the purpose, functionality, and usage of REST APIs
     • Knows and can explain the differences between REST and GraphQL APIs, as well as the factors that determine which type of API is a better solution in a given case
2. Category #2:

   Problem
   Solving

   Evaluating this category confirms that our developers can devise customized, efficient resolutions and address intricate obstacles. This validation certifies their ability to adapt to evolving technologies and produce high-performing applications in harmony with business goals.

   • The engineer with these competencies:

   • Performance-Focused
     Solutions

     • Knows and applies concepts related to ensuring front-end performance (e.g., network communication, data loading time, resource management, user interactions, layout, animations)
     • Cares about conversion rates, considering application responsiveness on web and mobile platforms
     • Knows and uses tools to improve front-end performance, such as Lighthouse and Google Chrome Tools

   • Adequate
     Solutions

     • Proposes a solution adequate for current business and technical needs
     • Is not limited to one type of solution/architecture/tool (maintains a healthy distance from specific approaches or tools) and knows when to apply an existing solution or create a custom one
     • Identifies the advantages and disadvantages of various solutions/approaches in different contexts (business, technical, human)
     • Can explain the impact and role of non-functional requirements in selecting an appropriate solution

   • Technical
     Problem-Solving

     • Can diagnose an occurring technical problem in a project and propose a solution for that problem

   • Research
     Unknown
     Solutions

     • Can conduct research on an unknown or previously unused solution or tool
     • Can present the advantages, disadvantages, or risks associated with the analyzed solution and suggest a decision regarding its implementation
3. Category #3:

   Infrastructure
   & Deployment

   Appraising this category is vital in confirming that our engineers adeptly administer resources, safeguard applications, and optimize deployment processes. This validation ensures their ability to develop and sustain strong, scalable, and proficient infrastructures for client projects.

   • A competent engineer:

   • Infrastructure
     Management

     • Can identify and apply best practices for deployment, monitoring, debugging, and scalability of a solution deployed in a production environment
     • Knows various front-end libraries and uses them at the appropriate time
     • Can manage dependency updates in the project, knows versioning methods, and tracks vulnerabilities in used libraries for security gaps
     • Can deploy and manage an application in production at a basic level

   • OS & Network
     Concepts

     • Understands basic concepts related to operating systems, network communication, and takes their impact into account when creating frontend solutions

   • Security
     Implementation

     • Is knowledgeable about and can implement good security practices
     • Can practically implement security requirements
     • Understands data encryption methods in web and mobile applications and the tools required for that
     • Has experience in implementing secure authentication methods
     • Knows how to securely store sensitive data in applications, such as user login details and payment information

   • CI/CD
     Deployment

     • Can configure CI/CD pipelines optimally and compatibly with the adopted solution architecture, git workflow, and deployment method on cloud computing resources (or other server resources)
     • Is knowledgeable about tools and services that can help reduce application maintenance costs, such as alternative hosting solutions and open-source libraries
4. Category #4:

   Business
   & Process

   Assessing abilities in this category is crucial for confirming that our engineers can efficiently collaborate with stakeholders, understand project goals, and refine the development procedure. This validation demonstrates their capacity to adjust to client requirements and facilitate a smooth, agile work process.

   • A competent engineer:

   • Business
     Requirements

     • Can identify areas of business requirements that need refinement
     • Can translate business requirements into technical requirements (propose an appropriate solution and plan its implementation)

   • Software
     Development
     Process

     • Understands the software development process using agile methodologies
     • Can report issues related to the current process or methodology being used

Soft Skills: The Human Element
Elevating Our React.js Engineers

1. Category #1:

   Collaboration Skills

   We place great importance on soft skills like efficient communication, exceptional English fluency, a supportive and coaching demeanor, transparency, and a receptiveness to feedback among our team members.

   • The engineer with these competencies:

   • Communication

     • Can communicate noticed problems and proposals for changes in a balanced, neutral, and unbiased way (does not judge, does not elevate themselves, does not ridicule)
     • Can communicate their own needs and problems in the project (especially difficulties encountered), while maintaining a non-entitlement attitude
     • Can participate in discussions in a way that encourages conversation. Can guide the discussion towards making decisions or defining a course of action
     • Can discuss and explain technical issues to non-technical people Category: Soft Skills/Communication

   • English
     proficiency

     • Can use the English language to a sufficient extent to effectively communicate their needs, noticed problems, and ideas
     • Can converse in English on non-technical topics

   • Helpfulness
     & mentoring

     • Is open to supporting other team members in carrying out their tasks (including being open to pair programming)
     • Can mentor less experienced team members (identify areas that need improvement/development, provide knowledge and best practices, check other people’s work and give constructive feedback)

   • Transparency

     • Can admit to a mistake and does not hide its consequences
     • Can admit to not knowing something or lacking experience
     • Does not hide their intentions and goals (if they affect their work in the team/project)
     • Can openly communicate the factors that affect their efficiency and motivation to work

   • Open
     to feedback

     • Understands the broader context of business needs, technical possibilities, and human potential, and their impact on the team’s work style
2. Category #2:

   Work Ethic and Responsibility

   We emphasize qualities like meticulousness, accountability, dedication, efficiency, solid work organization, and adaptability to guarantee that our team members consistently produce top-notch work punctually and can adjust to shifting requirements.

   • The engineer with these competencies:

   • Thoroughness

     • Can thoroughly analyze a technical problem and correctly diagnose its cause
     • Can thoroughly analyze a selected solution, approach, or tool and present the method and chances and risks associated with its implementation

   • Responsibility

     • Feels responsible for the tasks entrusted to them and does not evade responsibility for their actions and their consequences
     • Feels responsible for the solution being created and openly communicates the risks associated with the decisions/actions taken on the solution being created (e.g., its quality, safety, ease of maintenance)

   • Engagement
     & proactivity

     • Can proactively report the need for changes in the solution or the way it is being implemented
     • Openly signals problems and risks in the team/project

   • Effectiveness

     • Can effectively carry out the tasks entrusted to them (by completing them independently or engaging other team members)
     • Openly and without unnecessary delay communicates threats (risks), dependencies, and problems that may prevent them from effectively performing their tasks

   • Good work
     organization

     • Completes assigned tasks and duties within the agreed-upon timeframe, and communicates openly if unable to meet deadlines, especially when other team members’ work depends on it.
     • Can prioritize their tasks while considering the needs of other individuals or the entire team.
     • Respects the time and work hours of other team members when involving them in tasks or projects.

   • Flexibility

     • Can adjust their work style and communication method to the current team’s needs
     • Can adjust the scope of tasks performed to the team’s needs (while being able to communicate if the scope or frequency of changes has a negative impact on their efficiency and motivation to work — see Transparency)

AI Tools Mastery: Boosting Synergy
in Human-AI Partnerships

1. AI Tooling

   Combining AI utilities with the expertise of Code & Pepper’s elite top 1.6% engineers, our Human-AI hybrid teams deliver exceptional, innovative, and reliable FinTech and HealthTech solutions, enriching numerous aspects of the software creation process.

   • The engineer with AI tooling competencies:

   • Code completion and suggestion

     • Knows tools that use AI to analyse code and suggest code snippets, functions, and variables based on the context in which the user is coding (examples include GitHub Copilot and TabNine).

   • Code analysis
     and review

     • Knows tools that use AI to analyse code and provide feedback on code quality, security, and performance (examples include CodeGuru, CodeClimate, and Snyk).

   • Testing and debugging

     • Knows tools that use AI to help developers create tests, find bugs, and debug code (examples include: Applitools, Functionize, and Diffblue Cover).

   • Enhanced
     Security

     • Knows AI-driven security tools that use machine learning to monitor software for potential vulnerabilities and threats (examples include Darktrace and Snyk).

Technical Skills: Essential Expertise
of Our React.js Developers

1. Category #1:

   Tech & Coding

   Within this category, we evaluate essential abilities that significantly impact the caliber and productivity of software creation. Confirming expertise in these aspects ensures our developers can construct sturdy, easily maintained solutions while seamlessly cooperating with colleagues.

   • The engineer with these competencies:

   • Frameworks
     & Libraries

     • Has knowledge of popular frameworks and libraries (e.g. React, Angular, Next.js), their features, and optimal use cases
     • Is aware of new solutions introduced in the world of their chosen tool
     • Knows state management libraries and understands when and which library to use depending on the business requirements of the solution

   • TypeScript
     Knowledge

     • Has a good understanding of TypeScript (e.g., knows and can use advanced typing)
     • Can explain the relationship between TypeScript and JavaScript
     • Can skillfully use existing types and create new advanced types for the solution

   • Design Patterns

     • Consciously uses established practices and patterns
     • Chooses solutions that ensure ease of maintenance for their written code

   • High-Quality
     Code

     • Produces code that is reliable, easy to maintain, reusable, and can be used across different platforms; writes tests that cover various test cases and are independent
     • Knows and applies metrics that demonstrate the good quality of their written code

   • Automated
     Tests

     • Can write automated tests (unit, integration, end-to-end)
     • Can explain the role of different types of tests in the entire testing pyramid
     • Can (in collaboration with other developers and testers) make and justify decisions about the scope of test automation in various contexts (business, technical, human)

   • Git Knowledge

     • Is proficient with the Git version control system
     • Knows various Git workflows and can suggest the selection of one depending on the context (business, technical, human)
     • Can implement the chosen workflow in a project

   • API Knowledge

     • Understands the purpose, functionality, and usage of REST APIs
     • Knows and can explain the differences between REST and GraphQL APIs, as well as the factors that determine which type of API is a better solution in a given case
2. Category #2:

   Problem
   Solving

   Evaluating this category confirms that our developers can devise customized, efficient resolutions and address intricate obstacles. This validation certifies their ability to adapt to evolving technologies and produce high-performing applications in harmony with business goals.

   • The engineer with these competencies:

   • Performance-Focused
     Solutions

     • Knows and applies concepts related to ensuring front-end performance (e.g., network communication, data loading time, resource management, user interactions, layout, animations)
     • Cares about conversion rates, considering application responsiveness on web and mobile platforms
     • Knows and uses tools to improve front-end performance, such as Lighthouse and Google Chrome Tools

   • Adequate
     Solutions

     • Proposes a solution adequate for current business and technical needs
     • Is not limited to one type of solution/architecture/tool (maintains a healthy distance from specific approaches or tools) and knows when to apply an existing solution or create a custom one
     • Identifies the advantages and disadvantages of various solutions/approaches in different contexts (business, technical, human)
     • Can explain the impact and role of non-functional requirements in selecting an appropriate solution

   • Technical
     Problem-Solving

     • Can diagnose an occurring technical problem in a project and propose a solution for that problem

   • Research
     Unknown
     Solutions

     • Can conduct research on an unknown or previously unused solution or tool
     • Can present the advantages, disadvantages, or risks associated with the analyzed solution and suggest a decision regarding its implementation
3. Category #3:

   Infrastructure
   & Deployment

   Appraising this category is vital in confirming that our engineers adeptly administer resources, safeguard applications, and optimize deployment processes. This validation ensures their ability to develop and sustain strong, scalable, and proficient infrastructures for client projects.

   • A competent engineer:

   • Infrastructure
     Management

     • Can identify and apply best practices for deployment, monitoring, debugging, and scalability of a solution deployed in a production environment
     • Knows various front-end libraries and uses them at the appropriate time
     • Can manage dependency updates in the project, knows versioning methods, and tracks vulnerabilities in used libraries for security gaps
     • Can deploy and manage an application in production at a basic level

   • OS & Network
     Concepts

     • Understands basic concepts related to operating systems, network communication, and takes their impact into account when creating frontend solutions

   • Security
     Implementation

     • Is knowledgeable about and can implement good security practices
     • Can practically implement security requirements
     • Understands data encryption methods in web and mobile applications and the tools required for that
     • Has experience in implementing secure authentication methods
     • Knows how to securely store sensitive data in applications, such as user login details and payment information

   • CI/CD
     Deployment

     • Can configure CI/CD pipelines optimally and compatibly with the adopted solution architecture, git workflow, and deployment method on cloud computing resources (or other server resources)
     • Is knowledgeable about tools and services that can help reduce application maintenance costs, such as alternative hosting solutions and open-source libraries
4. Category #4:

   Business
   & Process

   Assessing abilities in this category is crucial for confirming that our engineers can efficiently collaborate with stakeholders, understand project goals, and refine the development procedure. This validation demonstrates their capacity to adjust to client requirements and facilitate a smooth, agile work process.

   • A competent engineer:

   • Business
     Requirements

     • Can identify areas of business requirements that need refinement
     • Can translate business requirements into technical requirements (propose an appropriate solution and plan its implementation)

   • Software
     Development
     Process

     • Understands the software development process using agile methodologies
     • Can report issues related to the current process or methodology being used

Soft Skills: The Human Element
Elevating Our React.js Engineers

1. Category #1:

   Collaboration Skills

   We place great importance on soft skills like efficient communication, exceptional English fluency, a supportive and coaching demeanor, transparency, and a receptiveness to feedback among our team members.

   • The engineer with these competencies:

   • Communication

     • Can communicate noticed problems and proposals for changes in a balanced, neutral, and unbiased way (does not judge, does not elevate themselves, does not ridicule)
     • Can communicate their own needs and problems in the project (especially difficulties encountered), while maintaining a non-entitlement attitude
     • Can participate in discussions in a way that encourages conversation. Can guide the discussion towards making decisions or defining a course of action
     • Can discuss and explain technical issues to non-technical people Category: Soft Skills/Communication

   • English
     proficiency

     • Can use the English language to a sufficient extent to effectively communicate their needs, noticed problems, and ideas
     • Can converse in English on non-technical topics

   • Helpfulness
     & mentoring

     • Is open to supporting other team members in carrying out their tasks (including being open to pair programming)
     • Can mentor less experienced team members (identify areas that need improvement/development, provide knowledge and best practices, check other people’s work and give constructive feedback)

   • Transparency

     • Can admit to a mistake and does not hide its consequences
     • Can admit to not knowing something or lacking experience
     • Does not hide their intentions and goals (if they affect their work in the team/project)
     • Can openly communicate the factors that affect their efficiency and motivation to work

   • Open
     to feedback

     • Understands the broader context of business needs, technical possibilities, and human potential, and their impact on the team’s work style
2. Category #2:

   Work Ethic and Responsibility

   We emphasize qualities like meticulousness, accountability, dedication, efficiency, solid work organization, and adaptability to guarantee that our team members consistently produce top-notch work punctually and can adjust to shifting requirements.

   • The engineer with these competencies:

   • Thoroughness

     • Can thoroughly analyze a technical problem and correctly diagnose its cause
     • Can thoroughly analyze a selected solution, approach, or tool and present the method and chances and risks associated with its implementation

   • Responsibility

     • Feels responsible for the tasks entrusted to them and does not evade responsibility for their actions and their consequences
     • Feels responsible for the solution being created and openly communicates the risks associated with the decisions/actions taken on the solution being created (e.g., its quality, safety, ease of maintenance)

   • Engagement
     & proactivity

     • Can proactively report the need for changes in the solution or the way it is being implemented
     • Openly signals problems and risks in the team/project

   • Effectiveness

     • Can effectively carry out the tasks entrusted to them (by completing them independently or engaging other team members)
     • Openly and without unnecessary delay communicates threats (risks), dependencies, and problems that may prevent them from effectively performing their tasks

   • Good work
     organization

     • Completes assigned tasks and duties within the agreed-upon timeframe, and communicates openly if unable to meet deadlines, especially when other team members’ work depends on it.
     • Can prioritize their tasks while considering the needs of other individuals or the entire team.
     • Respects the time and work hours of other team members when involving them in tasks or projects.

   • Flexibility

     • Can adjust their work style and communication method to the current team’s needs
     • Can adjust the scope of tasks performed to the team’s needs (while being able to communicate if the scope or frequency of changes has a negative impact on their efficiency and motivation to work — see Transparency)

AI Tools Mastery: Boosting Synergy
in Human-AI Partnerships

1. AI Tooling

   Combining AI utilities with the expertise of Code & Pepper’s elite top 1.6% engineers, our Human-AI hybrid teams deliver exceptional, innovative, and reliable FinTech and HealthTech solutions, enriching numerous aspects of the software creation process.

   • The engineer with AI tooling competencies:

   • Code completion and suggestion

     • Knows tools that use AI to analyse code and suggest code snippets, functions, and variables based on the context in which the user is coding (examples include GitHub Copilot and TabNine).

   • Code analysis
     and review

     • Knows tools that use AI to analyse code and provide feedback on code quality, security, and performance (examples include CodeGuru, CodeClimate, and Snyk).

   • Testing and debugging

     • Knows tools that use AI to help developers create tests, find bugs, and debug code (examples include: Applitools, Functionize, and Diffblue Cover).

   • Enhanced
     Security

     • Knows AI-driven security tools that use machine learning to monitor software for potential vulnerabilities and threats (examples include Darktrace and Snyk).

Technical Skills: Decoding
React Native Developer Expertise

1. Category #1:

   Technical Proficiency

   • Engineers with this competency:

   • Frameworks & Tools Proficiency

     • Build mobile apps using React Native, understanding its features and optimal use cases.
     • Keep up with emerging solutions in the React Native ecosystem.
     • Select suitable state management libraries for specific business needs.
     • Master various navigation types (such as Top Bar, Bottom Bar, Drawer, React Navigation, and Expo Router), deep linking, and integration with other tools e.g., Analytics).
     • Implement native animations using the Animated API and associated libraries.
     • Implement push notifications using the Push Notification API and relevant tools.
     • Enable offline support and store data in unencrypted and encrypted local databases using tools like AsyncStorage, NetInfo API, and Keychain.

   • TypeScript Expertise

     • Demonstrate a robust understanding of TypeScript, including advanced typing.
     • Can elucidate the relationship between TypeScript and JavaScript.
     • Can efficiently use existing types and create new advanced types as needed for the solution.

   • API Mastery

     • Understand the purpose, function, and usage of REST APIs.
     • Can explain the differences between REST APIs and GraphQL APIs and what factors determine which type of API is a better solution in a given case.

   • Git Proficiency

     • Demonstrate proficiency in using the Git version control system.
     • Understand different Git workflows and can suggest the most suitable one depending on the context, including business, technical, and human factors.
     • Can implement the selected workflow in the project.

   • Infrastructure Management

     • Can identify and apply best practices for deployment, monitoring, debugging, and scalability of solutions implemented in production environments.
     • Can manage dependency updates in projects, understand versioning, and monitor vulnerabilities in utilized libraries for security purposes.
     • Can implement and manage applications in production at a basic level.
2. Category #2:

   Performance
   & Quality

   • Engineers with this competency:

   • Performance Optimization

     • Address front-end performance issues such as network communication, data loading time, resource management, user interaction, layout, and animations.
     • Consider conversion rates, taking into account the responsiveness of the application on web and mobile platforms.
     • Are knowledgeable about and utilize tools that improve front-end performance, such as Lighthouse and Google Chrome Tools.

   • High-Quality
     Code

     • Write reliable, maintainable, reusable, cross-platform code that is thoroughly tested and covers multiple test cases.
     • Understand and utilize metrics that demonstrate the quality of written code.

   • Diverse Automated Tests

     • Can write automated tests, including unit, integration, and end-to-end tests.
     • Understand the role of different test types within the entire test pyramid.
     • Can make and justify decisions with other developers and testers regarding the scope of test automation in various contexts, including business, technical, and human factors.

   • Implementing Security Requirements

     • Understand and can implement good security practices.
     • Can practically implement security requirements.
     • Know methods of data encryption in web/mobile applications and the necessary tools.
     • Have experience implementing secure authentication methods.
     • Understand how to securely store sensitive data in the application, such as user login details and payment information.
3. Category #3:

   Problem
   Solving

   • Engineers with this competency:

   • Technical
     Problem Solving

     • Can diagnose technical issues in projects and propose solutions.

   • OS & Network Understanding

     • Understand fundamental concepts related to operating systems and network communication, and consider their impact when developing mobile applications.

   • Unfamiliar Solution Analysis

     • Can investigate unfamiliar or previously unused solutions or tools.
     • Can present the disadvantages, advantages, or risks associated with the analyzed solution and recommend a decision regarding its implementation.

   • Implementing CI/CD Solutions

     • Can configure the CI/CD pipeline optimally and compatibly with the adopted solution architecture, Git workflow, and the method of implementation on the computing cloud (or other server resources).
     • Have knowledge of tools and services that can help reduce application maintenance costs, such as alternative hosting solutions or open-source libraries.
4. Category #4:

   Business
   Acumen

   • Engineers with this competency:

   • Tailored Solution Development

     • Propose solutions that address current business and technical needs.
     • Avoid limiting themselves to one type of solution/architecture/tool, maintain a balanced perspective on individual approaches or tools, and know when to use pre-built solutions or create their own.
     • Identify the pros and cons of specific solutions/approaches in various contexts, including business, technical, and human factors.
     • Explain the impact and role of non-functional requirements in selecting the appropriate solution.

   • Best Practices
     & Patterns

     • Consciously employ established practices and patterns.
     • Consider future maintenance and development ease when writing code.

   • Business Requirement Insight

     • Can identify areas of business requirements that need refinement.
     • Can translate business requirements into technical requirements and propose appropriate solutions and implementation plans.

   • Software Process Comprehension

     • Understand the software development process using agile methodologies.
     • Can report issues related to the currently implemented process or methodology.

Soft Skills: The Human Element
Elevating Our React.js Engineers

1. Category #1:

   Collaboration Skills

   We place great importance on soft skills like efficient communication, exceptional English fluency, a supportive and coaching demeanor, transparency, and a receptiveness to feedback among our team members.

   • The engineer with these competencies:

   • Communication

     • Can communicate noticed problems and proposals for changes in a balanced, neutral, and unbiased way (does not judge, does not elevate themselves, does not ridicule)
     • Can communicate their own needs and problems in the project (especially difficulties encountered), while maintaining a non-entitlement attitude
     • Can participate in discussions in a way that encourages conversation. Can guide the discussion towards making decisions or defining a course of action
     • Can discuss and explain technical issues to non-technical people Category: Soft Skills/Communication

   • English
     proficiency

     • Can use the English language to a sufficient extent to effectively communicate their needs, noticed problems, and ideas
     • Can converse in English on non-technical topics

   • Helpfulness
     & mentoring

     • Is open to supporting other team members in carrying out their tasks (including being open to pair programming)
     • Can mentor less experienced team members (identify areas that need improvement/development, provide knowledge and best practices, check other people’s work and give constructive feedback)

   • Transparency

     • Can admit to a mistake and does not hide its consequences
     • Can admit to not knowing something or lacking experience
     • Does not hide their intentions and goals (if they affect their work in the team/project)
     • Can openly communicate the factors that affect their efficiency and motivation to work

   • Open
     to feedback

     • Understands the broader context of business needs, technical possibilities, and human potential, and their impact on the team’s work style
2. Category #2:

   Work Ethic and Responsibility

   We emphasize qualities like meticulousness, accountability, dedication, efficiency, solid work organization, and adaptability to guarantee that our team members consistently produce top-notch work punctually and can adjust to shifting requirements.

   • The engineer with these competencies:

   • Thoroughness

     • Can thoroughly analyze a technical problem and correctly diagnose its cause
     • Can thoroughly analyze a selected solution, approach, or tool and present the method and chances and risks associated with its implementation

   • Responsibility

     • Feels responsible for the tasks entrusted to them and does not evade responsibility for their actions and their consequences
     • Feels responsible for the solution being created and openly communicates the risks associated with the decisions/actions taken on the solution being created (e.g., its quality, safety, ease of maintenance)

   • Engagement
     & proactivity

     • Can proactively report the need for changes in the solution or the way it is being implemented
     • Openly signals problems and risks in the team/project

   • Effectiveness

     • Can effectively carry out the tasks entrusted to them (by completing them independently or engaging other team members)
     • Openly and without unnecessary delay communicates threats (risks), dependencies, and problems that may prevent them from effectively performing their tasks

   • Good work
     organization

     • Completes assigned tasks and duties within the agreed-upon timeframe, and communicates openly if unable to meet deadlines, especially when other team members’ work depends on it.
     • Can prioritize their tasks while considering the needs of other individuals or the entire team.
     • Respects the time and work hours of other team members when involving them in tasks or projects.

   • Flexibility

     • Can adjust their work style and communication method to the current team’s needs
     • Can adjust the scope of tasks performed to the team’s needs (while being able to communicate if the scope or frequency of changes has a negative impact on their efficiency and motivation to work — see Transparency)

AI Tools Mastery: Boosting Synergy
in Human-AI Partnerships

1. AI Tooling

   Combining AI utilities with the expertise of Code & Pepper’s elite top 1.6% engineers, our Human-AI hybrid teams deliver exceptional, innovative, and reliable FinTech and HealthTech solutions, enriching numerous aspects of the software creation process.

   • The engineer with AI tooling competencies:

   • Code completion and suggestion

     • Knows tools that use AI to analyse code and suggest code snippets, functions, and variables based on the context in which the user is coding (examples include GitHub Copilot and TabNine).

   • Code analysis
     and review

     • Knows tools that use AI to analyse code and provide feedback on code quality, security, and performance (examples include CodeGuru, CodeClimate, and Snyk).

   • Testing and debugging

     • Knows tools that use AI to help developers create tests, find bugs, and debug code (examples include: Applitools, Functionize, and Diffblue Cover).

   • Enhanced
     Security

     • Knows AI-driven security tools that use machine learning to monitor software for potential vulnerabilities and threats (examples include Darktrace and Snyk).

Technical Skills:
The Core of Ruby Developer Excellence

1. Category #1:

   Core Language
   & Frameworks

   The Core Language & Frameworks category assess essential competencies for senior Ruby developers, including best practices, Ruby expertise, automated testing, and framework familiarity, ensuring high-quality code development.

   • Engineers with this competency:

   • Good Practices
     & Patterns

     • Consciously apply established practices and patterns
     • Produce code that is easy to maintain and develop for future enhancements

   • Proficiency
     in Ruby

     • Possess a solid knowledge of Ruby (e.g., can perform operations on Array, Hash)
     • Comprehend code that utilizes metaprogramming techniques
     • Develop readable and transparent metaprogramming code
     • Explain the inner workings of metaprogramming within the Ruby interpreter and the implications of its usage

   • Writing Automated
     Tests

     • Are skilled in creating various types of automated tests (unit, integration, functional)
     • Understand and explain the roles of different test types within the test pyramid
     • Collaborate with other programmers and testers to make and justify decisions on the scope of test automation in different contexts (business, technical, human)

   • Frameworks Knowledge

     • Possess knowledge of popular frameworks (e.g., RoR, Sinatra), their features, and optimal applications/use cases
2. Category #2:

   Development Process & Tools

   In this realm, we stress the importance of aligning solutions with business needs, mastering development tools, and understanding the overall software development process, ensuring seamless and efficient project execution.

   • Engineers with this competency:

   • Solutions
     Aligned with Needs

     • Propose solutions that address current business and technical needs
     • Demonstrate flexibility by not restricting themselves to a single solution, architecture, or tool (maintaining a healthy detachment from individual approaches or tools)
     • Identify the pros and cons of various solutions/approaches within different contexts (business, technical, human)
     • Understand and explain the impact and significance of non-functional requirements in choosing the most suitable solution

   • OS & Network Understanding

     • Understand fundamental concepts related to operating systems and network communication, and explain their impact on the development of backend solutions
     • Are proficient in using containerization solutions, such as Docker

   • Git Proficiency

     • Demonstrate proficiency in using the Git version control system
     • Are familiar with various Git workflows and can recommend one based on different contexts (business, technical, human). Can implement the chosen workflow in the project
     • Understand the influence of the selected workflow on the CI/CD process

   • Software Development Process

     • Understand the software development process using agile methodologies
     • Are capable of identifying and reporting issues related to the currently implemented process or methodology

   • CI/CD Implementation

     • Are able to optimally configure the CI/CD pipeline in a manner that aligns with the chosen solution architecture, Git workflow, and deployment method on cloud computing platforms (or other server resources)
3. Category #3:

   System Architecture & Management

   In this domain, we concentrate on problem-solving capabilities, cloud computing expertise, database knowledge, infrastructure management, and message broker familiarity, all crucial for constructing and maintaining robust systems.

   • Engineers with this competency:

   • Solving Technical Problems

     • Effectively diagnose technical problems within a solution or project
     • Propose appropriate solutions for the identified issues

   • Cloud Computing Skills

     • Propose an approach for implementing a Ruby backend solution on a chosen cloud computing platform
     • Explain how the selection of cloud computing and its utilization influences code creation and future development of the solution or project
     • Configure Ruby-based solutions for a specific cloud computing platform

   • Database Solutions Knowledge

     • Make informed decisions when selecting a database solution, justifying their choice while highlighting potential risks associated with the selected option, especially when choosing between relational and non-relational databases

   • Infrastructure Management

     • Understand best practices related to deployment, monitoring, and debugging of a solution deployed in a production environment
     • Can implement and manage an application in production at a basic level

   • Message Broker Knowledge

     • Understand the purpose of message broker solutions (e.g., RabbitMQ, Kafka)
     • Can determine whether the use of a message broker is warranted in the developed solution or current project

   • Security Requirements Implementation

     • Are knowledgeable about and able to apply strong security practices
     • Can effectively implement security requirements in practice
     • Mitigate both software-related and social engineering threats (e.g., spam, suspicious emails, and questionable attachments)
4. Category #4:

   Requirements
   & Analysis

   This area encompasses the ability to comprehend business requirements, API expertise, researching unknown solutions, creating visual documentation, and assessing recruitment candidates, essential for delivering customized and effective outcomes.

   • Engineers with this competency:

   • Business Requirements Comprehension

     • Can pinpoint areas within business requirements that need further clarification
     • Are adept at translating business requirements into technical requirements, proposing suitable solutions and planning their implementation

   • API Expertise

     • Comprehend the purpose, functionality, and usage of REST APIs
     • Can explain the differences between REST APIs and GraphQL APIs, and identify the factors that determine which type of API is more suitable in a specific situation

   • Researching Unknown Solutions

     • Are capable of investigating unknown or previously unused solutions or tools
     • Can present the advantages, disadvantages, or risks associated with the use of the analyzed solution, and recommend a decision regarding its implementation

   • Visual Documentation Skills

     • Are capable of creating diagrams that visually represent the developed solution, including system diagrams, process diagrams, flowcharts, and more

   • Recruitment Candidate Assessment

     • Can conduct interviews with candidates to verify their technical competencies
     • Can present and justify their recommendations regarding the employment of a particular candidate

Soft Skills:
The Hallmark of Genuine Senior Engineers

1. Category #1

   Interpersonal Skills

   This facet highlights essential interpersonal skills such as effective communication, helpfulness, mentoring, transparency, flexibility, and responsibility, which contribute to fostering a collaborative and productive work environment.

   • Engineers with this competency:

   • Effective Communication

     • Communicate observed issues and proposed changes in a balanced, neutral, and prejudice-free manner (avoiding judgment, self-aggrandizement, or mockery)
     • Express their own needs and challenges within the project (especially encountered difficulties) while maintaining a non-demanding attitude
     • Engage in discussions in a way that fosters conversation
     • Guide discussions towards decision-making or defining a plan of action
     • Actively listen to others in conversations or discussions and navigate the conversation towards a better understanding of the other party’s needs
     • Explain and discuss technical matters with non-technical individuals

   • Helpfulness
     and Mentoring

     • Proactively support other team members in completing their tasks (including being open to pair programming)
     • Mentor less experienced team members by identifying areas for improvement/development, sharing knowledge and best practices, and reviewing others’ work
     • Provide neutral feedback that includes clear instructions, encourages changes, and promotes further development
     • Effectively motivate team members and foster a positive working atmosphere

   • Transparency

     • Are willing to admit mistakes and not conceal their consequences
     • Can acknowledge ignorance or inexperience and display an attitude focused on acquiring knowledge in areas where it is lacking
     • Do not hide their intentions and objectives (if they impact their work within the team or project)
     • Can openly communicate factors that influence their effectiveness and motivation to work

   • Flexibility

     • Can adapt their work style, methodology, and communication to the current team’s needs without compromising effectiveness
     • Adjust the scope of tasks performed according to the team’s requirements (while being able to communicate if the scope or frequency of changes negatively affects their effectiveness and motivation to work – see Transparency)
     • Remain open to the ideas of others (i.e., listen to suggestions, commit to implementing them)
     • Understand the broader context of business needs, technical capabilities, and human potential, and how they impact the team’s functioning

   • Responsibility

     • Complete tasks assigned to them
     • Do not evade responsibility for their actions and the consequences that follow
     • Feel accountable for the created solution and openly communicate the risks related to decisions or actions taken on the developed solution (e.g., its quality, security, maintainability)
2. Category #2

   Self-management Skills

   In this dimension, we emphasize the importance of English communication, insight, commitment, proactivity, efficiency, and work organization, enabling our developers to manage their tasks independently and professionally.

   • Engineers with this competency:

   • English Communication Skills

     • Possess sufficient fluency in English to effectively communicate their needs, observed issues, and ideas
     • Can engage in English conversations on non-technical topics

   • Insight

     • Can thoroughly analyze a technical problem and accurately diagnose its cause
     • Can comprehensively analyze a selected solution, approach, or tool and present the method, opportunities, and risks associated with its implementation

   • Commitment
     and Proactivity

     • Proactively identify the need to change a solution or its implementation approach
     • Openly signal observed issues and risks in the team or project

   • Efficiency

     • Effectively execute assigned tasks (either independently or by involving other team members)
     • Openly and promptly communicate threats (risks), dependencies, and problems that may hinder their ability to carry out tasks efficiently

   • Work Organization

     • Complete assigned tasks or duties promptly (including openly communicating the inability to meet agreed deadlines), especially when the work of others depends on them
     • Can prioritize tasks, taking into account the needs of other individuals or the entire team
     • Communicate with other team members during established working hours
     • Are well-prepared for meetings or discussions

AI Tools Mastery: Boosting Synergy
in Human-AI Partnerships

1. AI Tooling

   Combining AI utilities with the expertise of Code & Pepper’s elite top 1.6% engineers, our Human-AI hybrid teams deliver exceptional, innovative, and reliable FinTech and HealthTech solutions, enriching numerous aspects of the software creation process.

   • The engineer with AI tooling competencies:

   • Code completion and suggestion

     • Knows tools that use AI to analyse code and suggest code snippets, functions, and variables based on the context in which the user is coding (examples include GitHub Copilot and TabNine).

   • Code analysis
     and review

     • Knows tools that use AI to analyse code and provide feedback on code quality, security, and performance (examples include CodeGuru, CodeClimate, and Snyk).

   • Testing and debugging

     • Knows tools that use AI to help developers create tests, find bugs, and debug code (examples include: Applitools, Functionize, and Diffblue Cover).

   • Enhanced
     Security

     • Knows AI-driven security tools that use machine learning to monitor software for potential vulnerabilities and threats (examples include Darktrace and Snyk).

AI Tools Mastery: Boosting Synergy
in Human-AI Partnerships

1. AI Tooling

   Combining AI utilities with the expertise of Code & Pepper’s elite top 1.6% engineers, our Human-AI hybrid teams deliver exceptional, innovative, and reliable FinTech and HealthTech solutions, enriching numerous aspects of the software creation process.

   • The engineer with AI tooling competencies:

   • Code completion and suggestion

     • Knows tools that use AI to analyse code and suggest code snippets, functions, and variables based on the context in which the user is coding (examples include GitHub Copilot and TabNine).

   • Code analysis
     and review

     • Knows tools that use AI to analyse code and provide feedback on code quality, security, and performance (examples include CodeGuru, CodeClimate, and Snyk).

   • Testing and debugging

     • Knows tools that use AI to help developers create tests, find bugs, and debug code (examples include: Applitools, Functionize, and Diffblue Cover).

   • Enhanced
     Security

     • Knows AI-driven security tools that use machine learning to monitor software for potential vulnerabilities and threats (examples include Darktrace and Snyk).

Table of Contents

Introduction to Node.js

Getting Started with Node.js

Node.js Fundamentals

Using Node.js for
Web Development

Scaling Node.js Applications