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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. 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. 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 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

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. All Insights Concerns, challenges, and use of third-part APIs A look at third party APIs: usage, characteristics, security. Access the Full Preview 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. Key Questions Answered What are the features of a high quality API according to developers? What are developers concerned with in their use of third-party APIs? According to developers what are the key security risks in the use of third-party APIs? Click to expand ACCESS THE FULL PREVIEW 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 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.

Key Questions Answered What specific activities constitute design? Key differences between beginner and experienced designers. Involvement of designers during the different stages of development. Impact of designers and design work on quantifiable outcomes How do designers learn their skills, and what do they want to learn next? Click to expand ACCESS THE FULL REPORT Methodology The findings of this report are based on data collected from an online survey designed, produced, and carried out by SlashData. The survey reached over 1,000 respondents worldwide who practisedesign-related activities and took place over a period of nine weeks in Q1 2023 (16th January –10th March). 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 Designing for success Understanding the influence of digital design in software development Access the Full Report About this Report In this report, Salesforce Designer Relations and SlashData set out to introduce readers to the landscape of design at companies that produce or design software with the aim of showcasing the importance of design.

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. 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 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 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. 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 today’s rapidly evolving technological landscape, the significance of robust software supply chain management (SSCM) can’t be overstated. In this report, we explore the practices employed by DevOps professionals to ensure the security, quality, and reliability of the software they build. Additionally, we examine the different software supply chain threats faced by organisations, highlighting the need for mature and resilient software supply chains within organisations. All Insights Software supply chain management in organisations Exploring practices and threats in software supply chain management Access the Full Preview About this Report In today’s rapidly evolving technological landscape, the significance of robust software supply chain management (SSCM) can’t be overstated. In this report, we explore the practices employed by DevOps professionals to ensure the security, quality, and reliability of the software they build. Additionally, we examine the different software supply chain threats faced by organisations, highlighting the need for mature and resilient software supply chains within organisations. Key Questions Answered Which SSCM practices are organisations implementing? How many SSCM practices does an organisation implement? How does the implementation of SSCM practices correlate with DevOps performance metrics? How does the implementation of SSCM practices differ by region and company size? How do DevOps professionals score the implementation of each SSCM practice in their organisation? What software supply chain threats do organisations face? Click to expand ACCESS THE FULL PREVIEW Methodology This report is based on data collected from over 2,300 DevOps professionals in the 26th edition of our Developer Nation survey, which ran between December 2023 and February 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

For as long as companies have been around and economists have studied labour markets, worker productivity has been a central focus of conversation and study. In this report, we delve into this concept, examining developer productivity and the factors associated with it using multiple metrics. As this report is focused on developer productivity at work, we focus our analysis exclusively on professional developers. Throughout this report, we examine metrics and factors that are associated with each productivity measurement. Through this analysis, we aim to highlight the pros and cons of framing productivity in various manners. All Insights Measuring developer productivity An overview of its drivers and barriers Access the Full Preview About this Report For as long as companies have been around and economists have studied labour markets, worker productivity has been a central focus of conversation and study. In this report, we delve into this concept, examining developer productivity and the factors associated with it using multiple metrics. As this report is focused on developer productivity at work, we focus our analysis exclusively on professional developers. Throughout this report, we examine metrics and factors that are associated with each productivity measurement. Through this analysis, we aim to highlight the pros and cons of framing productivity in various manners. Key Questions Answered What are the preferred content types for developers? What types of content do developers consume for learning? What types of content do developers consume to keep up-to-date? What types of content do developers consume for problem-solving? How does content consumption differ per experience in software development and geographical location? Click to expand ACCESS THE FULL PREVIEW Methodology This report is based on data collected from 17,000+ developers answering questions in the 25th edition of our Developer Nation survey, which was fielded between June and August 2023. 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

How we provided a client with critical insights into the network API landscape, addressing the questions that will guide the future. All Case Studies Tracking brand awareness among enterprise developers: gaps and opportunities The challenge A leading global technology company wanted to evaluate its competitive position among enterprise developers. Their primary goal was to measure brand awareness and associations to inform strategic marketing decisions and uncover opportunities to strengthen their brand presence. The approach To tackle this, we developed a comprehensive 30-question survey conducted in three waves over 18 months, reaching over 800 enterprise developers in each round. To get the complete picture of awareness and associations, we included aided and unaided questions that covered several topics and competitors. These questions were used to measure the awareness of our client's brand and associations with specific areas of technical expertise in which our client was aiming to make improvements. Additionally, we integrated supporting questions to help identify key gaps in brand awareness and areas where the client could refine their messaging for better alignment with developers’ needs. The result The research provided our client with a clear picture of how enterprise developers perceived their brand and its position relative to competitors. As a result, they were able to: Pinpoint gaps in brand awareness that required targeted improvements. Optimise their marketing messaging to better align with their target audience. Track progress over time as subsequent survey waves revealed the impact of their brand-building efforts. Why SlashData By leveraging our custom survey platform with advanced data cleaning capabilities and access to an extensive developer community, we were able to provide our client with consistent and reproducible results. This helped us identify meaningful differences between survey waves and provide a basis for a data-driven strategy for our client. If you’re looking to measure your brand’s competitive position and strengthen awareness among developers, get in touch now! You can find all our data & free reports in our Research Space . Related services Brand research Audience insights Previous Case Next Case Get all the new insights in your inbox JOIN NEWSLETTER Access more insights tailored to your needs TALK TO US

Sustainable software engineering (SSE) is the practice of minimisingthe environmental cost of software. It is an emerging discipline at the intersection of climate science, software practices and architecture, electricity markets, hardware, and data centre design. In this report, we’ll look at which developers are involved in building sustainable software and which SSE principles are most commonly utilised. We’ll investigate how developers’ experience levels, location, and the size of the organisation they work for –amongst other factors –affect the rate at which they utilise SSE and which principles they most often adopt. Later, we’ll take a closer look at what motivates developers to utilise SSE principles, as well as which challenges they face in doing so. We’ll demonstrate how developers’ motivations and challenges change based on several different factors, such as their experience levels. All Insights Who's integrating sustainable software engineering principles? Developers’ approaches, motivations, and challenges around building green software Access the Full Preview About this Report Sustainable software engineering (SSE) is the practice of minimisingthe environmental cost of software. It is an emerging discipline at the intersection of climate science, software practices and architecture, electricity markets, hardware, and data centre design. In this report, we’ll look at which developers are involved in building sustainable software and which SSE principles are most commonly utilised. We’ll investigate how developers’ experience levels, location, and the size of the organisation they work for –amongst other factors –affect the rate at which they utilise SSE and which principles they most often adopt. Later, we’ll take a closer look at what motivates developers to utilise SSE principles, as well as which challenges they face in doing so. We’ll demonstrate how developers’ motivations and challenges change based on several different factors, such as their experience levels. Key Questions Answered What percentage of developers have added generative AI features to their applications, and how many are interested? Do developers need to be AI or machine learning experts to create generative AI experiences? How does company size influence the choice of incorporation methods of generative AI functionality? What are the biggest challenges developers face when integrating generative AI functionality into their applications? Which cloud services do developers use the most for integrating generative AI into their applications? Click to expand ACCESS THE FULL PREVIEW Methodology Data for this report comes from the 24th edition of our Developer Nation survey, which was fielded in Q1 2023, between December 2022 and February 2023. Around 17,000 developers told us about their experiences with integrating SSE principles into their development projects. 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 is based on data collected from 17,000+ developers answering questions in the 25th edition of our Developer Nation survey, which was fielded between June and August 2023. Measuring developer productivity An overview of its drivers and barriers Access the Full Preview All Insights About this Report This report is based on data collected from 17,000+ developers answering questions in the 25th edition of our Developer Nation survey, which was fielded between June and August 2023. Key Questions Answered What affects developer productivity? How do you measure developer productivity? Click to expand ACCESS THE FULL PREVIEW Methodology For as long as companies have been around and economists have studied labour markets, worker productivity has been a central focus of conversation and study. In this report, we delve into this concept, examining developer productivity and the factors associated with it using multiple metrics. As this report is focused on developer productivity at work, we focus our analysis exclusively on professional developers. Throughout this report, we examine metrics and factors that are associated with each productivity measurement. Through this analysis, we aim to highlight the pros and cons of framing productivity in various manners. 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 has the overall adoption of AI chatbots changed over the past six months across different user groups? Which roles and industries are experiencing the fastest growth in AI chatbot usage? How does AI chatbot usage differ between professionals, hobbyists, and students? What regional trends are emerging in AI chatbot adoption? What specific challenges or needs are prompting beginners and non-technical users to increasingly turn to AI chatbots for problem-solving? Click to expand ACCESS THE FULL REPORT Methodology The 27th edition of the Developer Nation survey reached more than 9,000 respondents from 130+ countries around the world. This research report delves into key developer trends for Q3 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 The rise of AI-chatbots for problem-solving How much traction have AI chatbots gained over the last six months in the technology industry? Access the Full Report About this Report In this report, we explore the use of AI chatbots for problem-solving by professionals, hobbyists, and students involved in technology projects. More specifically, we look at how much the adoption of AI chatbots increased between Q1 and Q3 2024 across different role types, experience levels, and geographic regions.

Key Questions Answered To what extent are developer teams implementing FinOps practices? How does FinOps engagement vary by company size? Which regions are leading in FinOps adoption? Which FinOps activities are more popular? Does the type of cloud setup used influence the adoption of FinOps practices? Click to expand ACCESS THE FULL REPORT Methodology The 30th edition of the Developer Nation survey reached more than 12,000 respondents from 128 countries around the world. This research report series delves into key developer trends for Q3 2025 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 The State of FinOps in 2025 How developer teams manage cloud costs across regions and company sizes Access the Full Report About this Report Cloud spending can become one of the largest operational expenses for tech companies. It is often unpredictable due to elastic consumption models, hundreds of services and pricing models, and decentralised purchasing by developer teams (particularly in large companies). Cloud financial management (FinOps) sits at the intersection of finance, engineering, and product, ensuring that cloud resources are used efficiently, focusing on aligning cloud spending with business value, not just cost-cutting. In this report, we examine insights from over 6,300 professional developers working for companies of at least two employees who are using cloud services. We’ll explore the adoption rate of FinOps practices among developer teams and how it differs based on company size and region. Additionally, we’ll cover how teams implement FinOps by looking at the specific practices they have embraced. The report is designed to help technical leaders benchmark their organisations against industry peers and make informed decisions about where to focus their FinOps efforts.

Track adoption, market share and satisfaction All Reports Application Performance Monitoring Market Landscape Report Q3 2022 Track adoption, market share and satisfaction Access the Full Report About this Report The Application Performance Monitoring Market Landscape Report looks at APM solutions that developers are currently using and how satisfied they are with these offerings. The report focusses on the criteria developers are using to choose APM offerings, which APM products they are likely to use together, and how likely they are to recommend these APM products. Key Questions Answered Which DevOps technologies have developers used over the past 12 months? Which Application Performance Monitoring products are developers aware of, which are they currently using and which have they rejected? Which attributes do developers consider most important when they select an APM tool? Why do developers adopt and why do they reject each APM solution? How satisfied are developers with each APM offering? How do they score the products they use across the attributes they consider most important? How likely are developers to recommend the APM products they are currently using? Click to expand ACCESS THE FULL REPORT Methodology Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022 and reached more than 26,000 developers from 163 countries. Of these global respondents, over 4,700 developers answered survey questions regarding APM tools. 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 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. How and where to reach developers? Deep dive on social media platforms Access the Full Preview All Insights About this Report 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. Key Questions Answered To what extent is social media used as an information source for technology practitioners? Which social media platforms are used the most for information? How does the usage of different social media platforms differ based on experience in software development? How does the usage of different social media platforms differ based on professional status? How does the usage of different social media platforms differ based on development area? How does the usage of different social media platforms differ based on region? Click to expand ACCESS THE FULL PREVIEW Methodology Social media platforms are increasingly critical channels for tech practitioners seeking timely and relevant insights into software development trends and practices. This report provides an in-depth analysis of how and where technology practitioners seek information and keep updated on software development trends, with particular attention to their social media engagement. The data highlights platform-specific usage trends based on experience levels, professional status, job roles, development areas, and regional differences. This report is based on data from the 29th edition of our global Developer Nation survey, fielded in Q1 2025, where over 3,000 technology practitioners indicated that they use social media to find information about software development and stay up to date. 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