Search Results

Key Questions Answered How satisfied are developers with their jobs? Which work-related factors are associated with greater workplace contentment? Click to expand ACCESS THE FULL REPORT Methodology The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world. This research report delves into key developer trends for Q1 2024 and beyond. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Reports Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME How happy are developers with their jobs? A spotlight on developer satisfaction at work Access the Full Report About this Report In this report, we investigate developer satisfaction in theircurrent job. We examine in what contexts developers feel satisfied and what are some of the work-related factors that are associated with greater workplace contentment.

Key Questions Answered How do developers engage with different emerging technologies, from generative AI and AI-assisted coding to Wi-Fi sensing? How well-compensated do developers feel? How many developers use each of the mainstream programming languages in Q1 2023? What are the key characteristics that make up a high-quality API, according to software developers? How has the representation of female coders in the software development community evolved over time? Which markets and types of projects do embedded developers target? Click to expand ACCESS THE FULL REPORT Methodology The 24th edition of the Developer Nation global survey ran from December 2022 to February 2023 and reached close to 26,000 developers from 166 countries. This research report delves into key developer trends for Q1 2023 and beyond Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Reports Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME 24th edition - State of the Developer Nation Key Insights from our Q1 2023 survey of 25,000+ developers Access the Full Report About this Report The report focusses on six major topics -each with its own visualisations- showing how the data lends insight into the developer community: - Emerging technologies that capture developers’ imagination - How well-paid do developers feel? - Language communities - An update - What makes up a high-quality API? - On the role of female coders in software development - Embedded software development - An overview

The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world, which ran between December 2023 and February 2024. This research report delves into key developer trends for Q1 2024 and beyond. How developers use AI-assisted development tools Exploring adoption, effectiveness and challenges for AI-assisted tools. Access the Full Preview All Insights About this Report The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world, which ran between December 2023 and February 2024. This research report delves into key developer trends for Q1 2024 and beyond. Key Questions Answered How does the likelihood of using AI tools vary across developers with differing experience levels? What are the common use cases for AI-assisted development tools? How effective do developers perceive AI to be in accomplishing various tasks? What are the key drivers and barriers that motivate and impede developers when incorporating AI tools into their workflow? Click to expand ACCESS THE FULL PREVIEW Methodology This report investigates how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

Application security is critical as it serves to protect against a variety of threats, including malicious attacks that compromise application functionality, unauthorised access to sensitive information, the injection of malicious code, and/or data-leaks. The shift-left approach to application security is a strategy that aims to encourage security checks from the early stages of the software development process. In our analysis we examine how and when – during the software development process – security measures are implemented. We additionally examine what factors contribute to developers implementing various types of security and the amount of security checks they take. All Insights Applications and shift-left security Exploring the application security landscape Access the Full Preview About this Report Application security is critical as it serves to protect against a variety of threats, including malicious attacks that compromise application functionality, unauthorised access to sensitive information, the injection of malicious code, and/or data-leaks. The shift-left approach to application security is a strategy that aims to encourage security checks from the early stages of the software development process. In our analysis we examine how and when – during the software development process – security measures are implemented. We additionally examine what factors contribute to developers implementing various types of security and the amount of security checks they take. Key Questions Answered How many DevOps professionals use application performance monitoring and observability technologies? Who uses application performance monitoring and observability technologies? What challenges do DevOps professionals face in observability projects? How do these challenges differ by experience, company size, and region? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected from 14,000+ developers involved in DevOps-related activities who told us about the approaches they use to secure their applications in the 23rd edition of our Developer Nation survey, which was fielded between June and August 2022. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. All Insights Developers’ experience with integrating AI functionality A focus on open and open-source AI models Access the Full Preview About this Report This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. Key Questions Answered When and how security measures are being implemented? What type of developers are implementing them? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected in the 27th edition of SlashData’s global Developer Nation survey, which was fielded between June and July 2024. This survey reached over 2,000 developers who add AI functionality to their applications and answered questions about their experiences with open and open-source models. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022. Landscape of cloud-native development An overview of the demographics and technological choices of cloud-native developers Access the Full Preview All Insights About this Report Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022. Key Questions Answered Who and where are cloud-native developers? What choices are cloud-native developers making for their cloud service providers? Which cloud-native specific technologies are being used, and what is their popularity? Click to expand ACCESS THE FULL PREVIEW Methodology This report looks into the demographics and firmographics of cloud-native developers, as well as looking into their choice of programming languages and cloud service providers. These are all contrasted against backend developers who are not cloud-native developers. Finally, we investigate the specific technologies at the centre of cloud-native development and their popularity among cloud-native developers. This includes container orchestration technologies, cloud functions, and serverless computing. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

Application programming interfaces (APIs) have revolutionisedthe way software is created, enabling developers to use readily available solutions instead of spending time and effort building every piece of their application themselves. In this report, we explore the current state of the global landscape of APIs from the developers' perspective. We look at how many developers use APIs and what sets them apart from those who don't. Moreover, we dive deeper into the specific categories of third-party APIs that developers use the most, explore what developers are looking for in APIs, and what challenges they are facing, with a focus on security. Concerns, challenges, and use of third-part APIs A look at third party APIs: usage, characteristics, security. Access the Full Preview All Insights About this Report Application programming interfaces (APIs) have revolutionisedthe way software is created, enabling developers to use readily available solutions instead of spending time and effort building every piece of their application themselves. In this report, we explore the current state of the global landscape of APIs from the developers' perspective. We look at how many developers use APIs and what sets them apart from those who don't. Moreover, we dive deeper into the specific categories of third-party APIs that developers use the most, explore what developers are looking for in APIs, and what challenges they are facing, with a focus on security. Methodology The report is based on data collected from over 22,500 developers who answered questions related to the use of APIs in the 24th edition of our Developer Economics survey, which was fielded in Q1 of 2023. ACCESS THE FULL PREVIEW Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Key Questions Answered Who uses sustainable software engineering (SSE) approaches? Where are the global hotspots for SSE? Which types of SSE approaches are used? Which SSE principles are utilised by developers of different experience levels and in different regions? What motivates developers to use different SSE approaches and principles? How do developers’ motivations influence the types of SSE approaches they utilise? Which challenges do developers face when implementing SSE approaches? How do they challenges developers face change with their experience levels? Click to expand Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

The aim of this report is to explore what types of data ML/AI developers work with. To begin, we broadly examine popular types of data and compare our findings between those involved in deep learning technologies and those who aren’t. In chapter two, we examine what influences their choices, while chapter three deep dives into whether data type and size influence the choice of architectures ML/AI developers use to train and deploy models. In the final chapter, we turn our attention to what ML/AI developers use each of these types of data for. Going further, we examine developers working on applications of the two most popular types of data — text and image data — and consider who their primary target audience is and what their main aims for involvement in the sector are. All Insights Types of data ML/AI devs work with Understanding the types of data and their applications in machine learning and artificial intelligence Access the Full Preview About this Report The aim of this report is to explore what types of data ML/AI developers work with. To begin, we broadly examine popular types of data and compare our findings between those involved in deep learning technologies and those who aren’t. In chapter two, we examine what influences their choices, while chapter three deep dives into whether data type and size influence the choice of architectures ML/AI developers use to train and deploy models. In the final chapter, we turn our attention to what ML/AI developers use each of these types of data for. Going further, we examine developers working on applications of the two most popular types of data — text and image data — and consider who their primary target audience is and what their main aims for involvement in the sector are. Key Questions Answered What types of data do ML/AI developers use? What is the typical size of the training datasets ML/AI developers work with? Do the types of data ML/AI developers work with differ by experience in ML/AI development? Do the size of the training datasets ML/AI developers work with differ by organisation size? Are ML/AI developers’ preferences for computing architectures to train and deploy models influenced by the type and size of the data that they work with? What are the most popular ML/AI applications of text and image data? What are ML/AI developers working on different applications trying to achieve? Click to expand ACCESS THE FULL PREVIEW Methodology The data for the report comes from the 24th edition of our Developer Nation survey, which ran between December 2022 and February 2023 and reached more than 6,100 ML/AI developers. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

This report provides data and insights into trends that allow you to estimate the addressable market for desktop software development technologies in terms of the number of developers using such technologies. In the report, we estimate the number of desktop developers globally, how many are professionals, what types of organisationsthey work for, and where they are located. We additionally investigate the size of the addressable market for specific desktop technologies, programming languages, and target audiences. All Insights Desktop developers population forecast How many desktop developers are there, and what are they working on? Access the Full Preview About this Report This report provides data and insights into trends that allow you to estimate the addressable market for desktop software development technologies in terms of the number of developers using such technologies. In the report, we estimate the number of desktop developers globally, how many are professionals, what types of organisationsthey work for, and where they are located. We additionally investigate the size of the addressable market for specific desktop technologies, programming languages, and target audiences. ACCESS THE FULL PREVIEW Methodology To count developers, we use an independent, bottom-up methodology. The data we use to arrive at the estimates in this report comes from: 1.Reliably measured numbers of developers or direct indicators of their activity: Githubaccounts and repos, Stack Overflow accounts, and employment statistics from the USA and the European Union. 2.Our proprietary developer survey data, i.e. measured developer behaviour. For this report, we use data from 19,000+ backend developers across six consecutive surveys. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT Key Questions Answered How many desktop developers are there across the globe? What is the breakdown of these desktop developers by professional status, geographical region, and experience? What types of tools and technologies are desktop developers using? How many desktop developers are working on various types of desktop applications? Who are desktop developers primarily targeting with their software? Click to expand

In this report, we take a look at the current landscape of network APIs. We begin by exploring the percentage of developers using network APIs, their regional distribution, and the types of projects they are working on. Next, we delve into the various types of network APIs developers use and examine how professional roles and company size influence network API adoption. In chapter three, our attention turns to the challenges developers face when using network APIs and how these challenges vary by company size. Finally, we reveal developers' preferences for network API pricing and explore how preferred models vary by region and company size. All Insights Landscape of network APIs Exploring developer adoption, challenges, and preferred pricing models for network APIs Access the Full Preview About this Report In this report, we take a look at the current landscape of network APIs. We begin by exploring the percentage of developers using network APIs, their regional distribution, and the types of projects they are working on. Next, we delve into the various types of network APIs developers use and examine how professional roles and company size influence network API adoption. In chapter three, our attention turns to the challenges developers face when using network APIs and how these challenges vary by company size. Finally, we reveal developers' preferences for network API pricing and explore how preferred models vary by region and company size. Key Questions Answered Where are developers using network APIs located? What type of projects are network API users building? What types of network APIs are developers using? How do professional involvement and company size influence the implementation of network APIs? What challenges do developers face when using network APIs? How do developers prefer to pay for network APIs? How do pricing preferences differ between regions and companies of different sizes? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected in the 27th edition of our Developer Nation survey, which was fielded between June and July 2024. This survey reached more than 9,000 respondents from 130+ countries around the world. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

Key Questions Answered What is the current adoption of DevOps practices? What is the current adoption of DevOps technologies? Which industries are most involved in DevOps? How has the industry’s performance on DORA metrics changed over the last three and a half years? What is the impact of using multiple DevOps technologies on DORA performance? What is the impact of CI/CD tools on DORA performance? What is the impact of using multiple CI/CD tools simultaneously? Click to expand ACCESS THE FULL REPORT Methodology The findings in this report are based on data from SlashData’sprevious eight Developer Nation surveys which reached more than 150,000 respondents worldwide over three and half years, from Q3 2020 to Q1 2024. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Reports Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME State of Continuous Integration and Continuous Delivery Report 2024 The Evolution of Software Delivery Performance Access the Full Report About this Report In this report, commissioned by the Continuous Delivery Foundation (CDF) and authored by SlashData, we explore the current state of the CI/CD developer ecosystem and how this has evolved over the past three and half years. We will look at what proportion of developers are involved in the broader DevOps space and how many work with CI/CD technologies in particular. Moreover, we will see how developers software delivery performance has changed over time. Finally, we will explore how developers’ usage of multiple CI/CD tools contributes to software delivery performance, as well as the impact of utilizing numerous different types of DevOps technologies.

This report investigates how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. All Insights How developers use AI-assisted development tools Exploring adoption, effectiveness and challenges for AI-assisted tools. Access the Full Preview About this Report This report investigates how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. Key Questions Answered What types of functionalities do you add to your applications using open or open-source ML/AI models? What are your main reasons for using open or open-source ML/AI models to add AI functionality to your applications? Do you face any challenges when using open or open-source ML/AI models in your applications? What are your main reasons for not integrating open or open-source ML/AI models in your applications? Click to expand ACCESS THE FULL PREVIEW Methodology The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world, which ran between December 2023 and February 2024. This research report delves into key developer trends for Q1 2024 and beyond. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

In this report we take a look at developers working on edge IIoT projects. We begin by identifying the different types of developers working on edge projects - we also look at the experience levels, professional involvement, and home region of edge specialists. Next, we examine the capabilities of edge projects, and which capabilities are often integrated together. Chapter three takes a step back from the edge and examines where edge developers run their processes, as well as which programming languages are used by developers working on on-device workloads. Finally, we take a closer look at security, looking at which security protocols are used, and how edge developers’ target market affects their security decisions. All Insights Living on the edge Which approaches and technologies are used in developing edge IIoT solutions Access the Full Preview About this Report In this report we take a look at developers working on edge IIoT projects. We begin by identifying the different types of developers working on edge projects - we also look at the experience levels, professional involvement, and home region of edge specialists. Next, we examine the capabilities of edge projects, and which capabilities are often integrated together. Chapter three takes a step back from the edge and examines where edge developers run their processes, as well as which programming languages are used by developers working on on-device workloads. Finally, we take a closer look at security, looking at which security protocols are used, and how edge developers’ target market affects their security decisions. Key Questions Answered How do developers get involved in edge development? Where are edge developers located? What types of edge projects are developers working on? What capabilities do edge projects have? How do developers’ experience levels affect the capabilities of their edge projects? Which edge processes are more likely to be centralised, and which are more likely to run on-device? Which programming languages do edge developers use on devices and gateways? Which security features do edge IIoT developers implement? How does edge IIoT developers’ target market affect which security features they implement? Click to expand ACCESS THE FULL PREVIEW Methodology The data in this report comes from the 26th wave of SlashData’s Developer Nation survey, in which we asked over 300 edge IIoT developers about their experiences working on edge projects. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

In this report, we examine how professional developers in multi-employee organisations engage with DevOps practices, the variety of tools and technologies they use, and how their experience influences both their involvement in DevOps and their technology stack. We also explore whether DevOps practitioners use these technologies individually or in team contexts, as well as the motivations behind their adoption of each tool. All Insights Motivations behind various DevOps practices How professional developers engage with DevOps practices, the technologies they use, and the factors influencing their adoption Access the Full Preview About this Report In this report, we examine how professional developers in multi-employee organisations engage with DevOps practices, the variety of tools and technologies they use, and how their experience influences both their involvement in DevOps and their technology stack. We also explore whether DevOps practitioners use these technologies individually or in team contexts, as well as the motivations behind their adoption of each tool. Key Questions Answered How do professional developers in multi-employee organisations engage with DevOps practices? What variety of tools and technologies do professional DevOps practitioners use? How does professional developers’ experience influence both their involvement in DevOps and their technology stack? Do DevOps practitioners use these technologies individually or in team contexts? What is the main motivation behind the adoption of each DevOps tool? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected from the 29th edition of the Developer Nation survey edition of the Developer Nation survey, a large-scale, online developer survey that was designed, hosted, and fielded by SlashData over a period of 11 weeks between December 2024 and February 2025. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT