In the fast-paced world of software development, efficiency is paramount. Companies constantly seek ways to enhance their development processes, aiming to deliver high-quality products in shorter time frames.
One approach that has gained traction in recent years is augmented development, which leverages advanced technologies like Artificial Intelligence (AI), Machine Learning (ML), and automation to streamline development workflows.
In this article we’ll learn about efficiency levels of augmented development compared to traditional, non-augmented development, exploring their respective advantages, challenges, and impact on the software development lifecycle.
Both augmented development and non-augmented development requires using a certain level of skills that can be acquired when you hire remote developers from external IT staff augmentation service company.
Don’t know how? Then let us first understand what are IT staff augmentation services
IT staff augmentation services involve the process when any company hires Remote developers to supplement their organization's existing workforce.
These services are designed to provide additional skills, expertise, and manpower on a flexible basis, enabling companies to meet project demands, handle peak workloads, or fill skill gaps without the long-term commitment of permanent hires.
Don’t know how exactly IT staff augmentation works? Worry not, we’ve covered every minute thing that needs your attention in our Ultimate Guide IT staff augmentation.
Now, further let us understand the concept of Augmented Development and Non augmented development
Augmented development refers to the integration of advanced technologies such as AI, ML, and automation into the software development process.
These technologies enhance developers' capabilities, automate repetitive tasks, and provide intelligent insights to improve decision-making. The primary goal of augmented development is to boost productivity, reduce errors, and accelerate project timelines.
Moving ahead let us understand a few key components of an Augmented Development
AI and ML Integration: AI and ML algorithms can analyze vast amounts of data to provide insights, predict potential issues, and optimize code.
Automation Tools: Automation tools handle repetitive tasks such as testing, code deployment, and monitoring, freeing up developers to focus on more complex and creative aspects of development.
Intelligent Code Assistance: Tools like code editors with AI capabilities offer real-time suggestions, code completion, and error detection, enhancing coding efficiency and accuracy.
Data-Driven Decision Making: AI-driven analytics tools provide actionable insights based on historical data, helping teams make informed decisions about project direction and resource allocation.
Now, further let us understand what is a Non-augmented development
Non-augmented development, also known as traditional development, relies primarily on human effort and manual processes.
While it has been the standard approach for many years, it often involves repetitive tasks, slower feedback loops, and a higher risk of human error. However, it also allows for greater human oversight and flexibility in decision-making.
Moving ahead let us understand a few key components of a Non - augmented Development
Manual Processes: Tasks such as code reviews, testing, and deployment are performed manually, which can be time-consuming and prone to errors.
Human-Driven Decision Making: Decisions are based on human intuition and experience rather than data-driven insights.
Slower Feedback Loops: The manual nature of traditional development can result in slower feedback loops, delaying the identification and resolution of issues.
Greater Flexibility: Non-augmented development allows for more human oversight and adaptability, enabling developers to pivot and adjust strategies as needed.
Moving further let us understand the efficiency levels of Augmented vs Non-augmented development at different levels
To compare the efficiency levels of augmented and non-augmented development, we need to examine several critical aspects of the software development lifecycle, including speed, accuracy, collaboration, and innovation.
Automation of Repetitive Tasks: Automation tools significantly reduce the time spent on repetitive tasks such as code testing, deployment, and monitoring. Continuous Integration/Continuous Deployment (CI/CD) pipelines, for example, automate the process of integrating code changes, testing them, and deploying them to production environments.
Faster Code Generation: AI-driven code assistants like GitHub Copilot can suggest entire blocks of code, speeding up the coding process and reducing the time spent on writing boilerplate code.
Rapid Issue Identification: AI and ML can analyze code to predict potential bugs and vulnerabilities early in the development process, allowing for quicker resolution and fewer delays.
Manual Task Execution: Tasks such as code reviews, testing, and deployment are performed manually, which can be time-consuming and prone to delays.
Slower Debugging: Identifying and fixing bugs relies on manual inspection and human intuition, which can be slower and less efficient than automated tools.
Error Reduction: Automation and AI tools can perform tasks with high precision, reducing the likelihood of human errors. Automated testing, for instance, ensures that code changes do not introduce new bugs or regressions.
Consistent Quality: AI-driven code reviews and static analysis tools maintain consistent code quality by adhering to predefined coding standards and best practices.
Human Error: Manual processes are more susceptible to human error, which can lead to bugs and inconsistencies in the codebase.
Inconsistent Quality: Quality can vary depending on the experience and diligence of individual developers and reviewers.
Enhanced Communication: AI-driven collaboration tools facilitate better communication and coordination among team members. For example, project management tools with AI capabilities can automatically assign tasks, set priorities, and track progress.
Knowledge Sharing: AI tools can analyze project documentation, code repositories, and other resources to provide developers with relevant information and best practices, fostering a culture of continuous learning and improvement.
Manual Coordination: Collaboration relies heavily on manual communication and coordination, which can lead to misunderstandings and inefficiencies.
Knowledge Silos: Without automated knowledge-sharing tools, valuable information and expertise can become siloed within individual team members.
Creativity and Experimentation: By automating routine tasks, developers have more time to focus on creative problem-solving and experimentation. AI tools can also provide insights and suggestions that inspire new ideas and approaches.
Data-Driven Innovation: AI-driven analytics tools provide valuable insights into user behavior, market trends, and project performance, enabling data-driven innovation and strategic decision-making.
Limited Time for Innovation: The time-consuming nature of manual processes can leave less time for creative thinking and innovation.
Experience-Based Decision Making: Decisions are based on human intuition and experience, which can be valuable but may lack the breadth and depth of data-driven insights.
Now, further let us understand a few tools and techniques of Augmented Development and a Non-augmented development
There are a bunch of tools available for both an augmented development and a non augmented development. We’ve discussed them all in detail.
GitHub Copilot
It is a code completion tool which is powered by OpenAI’s Codex, that suggests entire lines or blocks of a code as and when you type, thus enhancing coding speed and accuracy.
TabNine
This is an AI-powered code completion tool which supports multiple programming languages and integrates it with popular IDEs to provide an intelligent code suggestion.
DeepCode
It is a tool which uses AI to review the code and provide recommendations for improvements, thus helping to identify bugs and potential vulnerability.
Jenkins
This is an open-source automation server which supports a continuous integration and continuous delivery, thus automating the building, testing and deployment of the code.
CircleCI
A CircleCI is a tool which automates the development pipeline, from a code commit to deployment, thus improving its efficiency and consistency in the development process.
Travis CI
It is a CI service which is used to build and test software projects hosted on GitHub, thus offering an automated testing and deployment capability.
Visual Studio IntelliCode
This is an extension for a Visual studio which provides an AI-associated code recommendation based on the best practices from any open-source project.
Kite
Kite is an AI-powered coding assistant that integrates with various code editors to provide code completions and suggestions in real-time.
Splunk
Splunk is a platform for searching, monitoring, and analyzing machine-generated data, providing insights and helping to optimize system performance and security.
Datadog
It is an analytics and monitoring platform which can integrate with a number of tools and services to provide real-time insight about application performance, infrastructure and logs.
Visual Studio Code
A lightweight, versatile code editor that supports multiple programming languages and extensions, widely used for manual coding and debugging.
Eclipse
An IDE primarily used for Java development but supports other languages through plugins, providing a comprehensive environment for manual coding.
NetBeans
NetBeans is an IDE for developing with Java, PHP, HTML5, and other languages, offering tools for manual coding, testing, and debugging.
Git
A distributed version control system that allows developers to track changes in their codebase, collaborate with others, and manage multiple versions of their projects.
Subversion (SVN)
A centralized version control system used to maintain current and historical versions of files, enabling manual collaboration and version tracking.
Selenium
A tool for automating web browsers, used primarily for testing web applications manually by writing scripts in various programming languages.
JUnit
A testing framework for Java applications, allowing developers to write and run repeatable tests to ensure code quality manually.
TestNG
A testing framework inspired by JUnit, designed for testing needs such as functional, end-to-end, and integration testing, used manually by developers.
Now, the next set of tools in line is Project Management and Collaboration tools.
Jira
Jira is a project management tool used for tracking issues, bugs, and tasks, facilitating manual project planning and collaboration among teams.
Trello
A visual project management tool that uses boards, lists, and cards to organize tasks and projects manually, enhancing team collaboration.
Asana
A task and project management tool that helps teams organize work, assign tasks, and track progress manually.
Confluence
A collaboration tool used to create, share, and manage project documentation manually, improving team communication and knowledge sharing.
Markdown Editors (e.g., Typora)
Tools for writing and editing Markdown, a lightweight markup language used for creating formatted text using a plain-text editor.
Crucible
A collaborative code review tool that helps developers find bugs and improve code quality through manual code review processes.
GitHub Pull Requests
A feature of GitHub that allows developers to propose changes to a codebase, discuss them, and review them manually before merging.
Now, lastly, let us understand how IT Staff Augmentation services can help you hire remote developers for any Augmented Development and Non augmented development
IT staff augmentation services can be highly beneficial in hiring remote developers for both augmented and non-augmented development environments.
These services provide a flexible, scalable, and efficient solution to bridge the talent gap, ensuring that projects are completed on time and to a high standard.
To know how you can achieve it learn IT staff augmentation: Winning Mantra for DoorDash’s success
Now, further let us understand how Acquaint Softtech can help with IT staff Augmentation
Acquaint Softtech, with over 15 years of experience in the IT industry, excels in providing Software Development Outsourcing Services. As an official Laravel Development Partner, we specialize in delivering custom web and software development solutions tailored to our clients' needs. Additionally, we offer IT Staff Augmentation services, enabling businesses to hire remote developers and seamlessly transform their ideas into final products.
Comparing augmented and non-augmented development reveals clear advantages in favor of augmented approaches, particularly in terms of speed, accuracy, collaboration, and innovation.
While augmented development presents certain challenges, such as a learning curve and initial investment, the benefits it offers make it a compelling choice for organizations seeking to enhance their development efficiency.
By leveraging AI, ML, and automation tools, development teams can streamline their workflows, reduce errors, and deliver high-quality products more quickly. As technology continues to advance, augmented development will play an increasingly vital role in the software development landscape, driving innovation and success in the ever-evolving IT industry.
Augmented development may have higher initial costs but can save money long-term by increasing efficiency and reducing errors.
They typically offer seamless integration through plugins, APIs, and compatibility features with popular IDEs.
Yes, many providers offer training and support to ensure developers are skilled in using these advanced tools.
Implement strong security measures like data encryption, access controls, and regular audits to protect sensitive information.
It streamlines project management by automating tasks, providing real-time insights, and improving collaboration, leading to better efficiency and outcomes.
I love to make a difference. Thus, I started Acquaint Softtech with the vision of making developers easily accessible and affordable to all. Me and my beloved team have been fulfilling this vision for over 15 years now and will continue to get even bigger and better.
Your bible to understand Kotlin and why it became so popular in flash with its list of features, and why it's best for App development for your business in 2023.
Mobile apps are growing in numbers exponentially. But most of them fail. So here are the 10 biggest culprits for these and how you can tackle them.
Are you confused between user experience and customer experience? Not anymore. Here we have differentiated these so you can provide the best service.
