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- Emerging practices in MLops / DataOps| Desktop DEI Tech Market Research
In this report, we will explore the different practices and approaches used by developers involved in data and machine learning (ML) operations (DataOps/MLOps), and how these practices are used together. We will also look at how differentDataOps/MLOp practices dictate the use of different backend and ML technologies, as well as ways of storing data. Finally, we will show how developers' motivations and target audiences are impacted bytheirDataOps/MLOp practices. All Insights Emerging practices in MLops / DataOps An overview of current and emerging trends in MLOps/DataOps Access the Full Preview About this Report In this report, we will explore the different practices and approaches used by developers involved in data and machine learning (ML) operations (DataOps/MLOps), and how these practices are used together. We will also look at how differentDataOps/MLOp practices dictate the use of different backend and ML technologies, as well as ways of storing data. Finally, we will show how developers' motivations and target audiences are impacted bytheirDataOps/MLOp practices. ACCESS THE FULL PREVIEW Methodology Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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 MLOps/DataOps practices are developers using, and using in combination? What are the differences in MLOps/DataOps practices between developers in different sectors? What impact does how the data is stored have on MLOps/DataOps practices? How does the amount of data ML/data scientists use for training their models have on their choice and use of MLOps/DataOps practices? How does the motivation of those involved in ML/AI have on their choice and use of MLOps/DataOps practices? Click to expand
- Landscape of network APIs| DevOps DEI Tech Market Research
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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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
- Who's integrating sustainable software engineering principles?| DevOps DEI Tech Market Research
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. 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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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
- Measuring developer productivity | Cloud/Backend DEI Tech Market Research
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. 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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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
- Landscape of network APIs| Desktop DEI Tech Market Research
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. 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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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 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
- How and where to reach developers?| ML/AI & Data Science DEI Tech Market Research
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. All Insights How and where to reach developers? Deep dive on social media platforms Access the Full Preview About this Report 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. 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 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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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
- Usage of AI assistance between DORA performance groups | Free Industry Reports & In this report, we look into the rates of adoption of generative AI tools to assist development and AI services among those in different DORA performance groups. Using this we hope to provide additional context on how software delivery performance is being impacted by the new AI tools and services. Tech Market Research
Key Questions Answered Do AI assistance and services impact software delivery performance? Which features of software delivery performance benefit or suffer from AI assistance and services? Click to expand ACCESS THE FULL REPORT Methodology The 29th edition of the Developer Nation survey reached more than 10,500 respondents from 127 countries around the world. This research report delves into key developer trends for Q1 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 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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? Usage of AI assistance between DORA performance groups Exploring GenAI usage between delivery performance groups Access the Full Report About this Report In this report, we look into the rates of adoption of generative AI tools to assist development and AI services among those in different DORA performance groups. Using this we hope to provide additional context on how software delivery performance is being impacted by the new AI tools and services.
- AI in the Developer Workflow | Free Industry Reports & Generative AI has entered the developer toolkit, but how deeply has it actually embedded itself into the work? This report examines how developers are using AI across their workflows: which tasks they are turning to AI for, how much of each task they are willing to hand over, and where the gap between adoption and reliance reveals the limits of current tooling. Drawing on survey data from developers actively using AI-assisted software development tools, the findings move beyond headline adoption figures to examine the texture of AI use across more than a dozen distinct development tasks. The result is a more honest picture of where AI is genuinely accelerating developer work, where it has found a willing audience for tasks developers are happy to offload, and where capability gaps are suppressing the trust needed for deeper reliance. For organisations evaluating or expanding AI tool adoption, the data offers a practical lens for calibrating expectations, informing governance, and identifying where human oversight remains essential. For those building the next generation of AI developer tools, it maps the frontier clearly: the tasks with high demand and low trust are not side thoughts; they should be the roadmap. Tech Market Research
Key Questions Answered What tasks are developers using AI tools to assist them with? How much of each task are developers handing over to AI tools? Which tasks do developers trust and rely on AI tooling for? Which tasks are the current suite of AI tooling falling short? Click to expand ACCESS THE FULL REPORT Methodology The 31st edition of the Developer Nation survey reached more than 11,500 respondents from 95 countries around the world. This research report series delves into key developer trends for Q1 2026 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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? AI in the Developer Workflow High adoption, uneven trust, and the tasks current tools haven't solved Access the Full Report About this Report Generative AI has entered the developer toolkit, but how deeply has it actually embedded itself into the work? This report examines how developers are using AI across their workflows: which tasks they are turning to AI for, how much of each task they are willing to hand over, and where the gap between adoption and reliance reveals the limits of current tooling. Drawing on survey data from developers actively using AI-assisted software development tools, the findings move beyond headline adoption figures to examine the texture of AI use across more than a dozen distinct development tasks. The result is a more honest picture of where AI is genuinely accelerating developer work, where it has found a willing audience for tasks developers are happy to offload, and where capability gaps are suppressing the trust needed for deeper reliance. For organisations evaluating or expanding AI tool adoption, the data offers a practical lens for calibrating expectations, informing governance, and identifying where human oversight remains essential. For those building the next generation of AI developer tools, it maps the frontier clearly: the tasks with high demand and low trust are not side thoughts; they should be the roadmap.
- How developers use AI-assisted development tools| DevOps DEI Tech Market Research
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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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
- A spotlight on blockchain developers | 3rd-party Platforms DEI Tech Market Research
In this report we provide a deeper understanding of the developers working on, learning about, and interested in blockchain projects, discovering where they live and how they learnt to code. We also provide a specific focus on professional developers involved in blockchain projects, understanding which types of roles they have, which software sectors they're involved in, and which revenue models they use. We deep dive into where blockchain developers go to get information about software development and what types of content they prefer to use for different purposes. Finally, we focus on which blockchain platforms are being used, how many platforms are being used, as well as the experience profile of developers using these platforms. All Insights A spotlight on blockchain developers Who are they, and what blockchain platforms do they use? Access the Full Preview About this Report In this report we provide a deeper understanding of the developers working on, learning about, and interested in blockchain projects, discovering where they live and how they learnt to code. We also provide a specific focus on professional developers involved in blockchain projects, understanding which types of roles they have, which software sectors they're involved in, and which revenue models they use. We deep dive into where blockchain developers go to get information about software development and what types of content they prefer to use for different purposes. Finally, we focus on which blockchain platforms are being used, how many platforms are being used, as well as the experience profile of developers using these platforms. 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 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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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 Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022.
- AI Coding Tools Benchmark | Free Industry Reports & This report is a lighter, free to everyone to access, version of a much more comprehensive benchmark of AI coding tools, and focuses on three prominent products: OpenAI Codex, Claude Code, and Cursor. All three are actively used by professional developers and represent distinct design philosophies: Codex as a cloud-first coding agent, Claude Code as a conversational and context‑rich partner, and Cursor as an AI‑native IDE. The analysis is based on a global online survey designed and distributed by SlashData in Q4 2025, reaching 800+ professional developers who write code with the help of AI coding assistants, agents, or AI‑native IDEs. Respondents to the survey reported which AI coding tools they use, how intensively they use them, how satisfied they are with them, and what productivity gains they see, both in terms of pull request (PR) throughput and time saved each week. Tech Market Research
Key Questions Answered Which AI coding tools are most widely adopted by professional developers, and what does this reveal about market maturity and competitive positioning? How deeply are developers integrating each tool into their daily workflows? How satisfied are developers with each tool in general and across core tasks in particular - writing new code, modifying existing code, and debugging - and how does this influence long‑term adoption? To what extent do AI coding tools improve measurable outcomes such as PR throughput and weekly time savings, and which tools deliver the strongest returns? How efficiently does each tool translate engagement into productivity? What does this mean for vendors aiming to improve their products and buyers seeking to maximise value from their engineering teams? Click to expand ACCESS THE FULL REPORT Methodology In Q4 2025, SlashData designed and ran a global, online survey to study how professional developers who rely on AI technologies for their coding work engage with AI coding assistants, agents, and AI-native IDEs. We conducted the analysis presented in this report based on data collected from 800+ respondents across more than 20 countries worldwide All SlashData surveys are monitored and cleaned to ensure the highest standards of retained responses. Our proprietary cleansing is designed to mitigate and remove opportunistic, fraudulent, and bot responses. Consisting of multiple criteria formulated around logic rules, speed, consistency, and response-taking behaviour, this holistic assessment is key to ensuring the highest degree of data quality. 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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? AI Coding Tools Benchmark How OpenAI Codex, Claude Code, and Cursor compare in terms of adoption, engagement, satisfaction, and productivity gains among software developers Access the Full Report About this Report This report is a lighter, free to everyone to access, version of a much more comprehensive benchmark of AI coding tools, and focuses on three prominent products: OpenAI Codex, Claude Code, and Cursor. All three are actively used by professional developers and represent distinct design philosophies: Codex as a cloud-first coding agent, Claude Code as a conversational and context‑rich partner, and Cursor as an AI‑native IDE. The analysis is based on a global online survey designed and distributed by SlashData in Q4 2025, reaching 800+ professional developers who write code with the help of AI coding assistants, agents, or AI‑native IDEs. Respondents to the survey reported which AI coding tools they use, how intensively they use them, how satisfied they are with them, and what productivity gains they see, both in terms of pull request (PR) throughput and time saved each week.
- Trust, risk, and security management in AI | ML/AI & Data Science DEI Tech Market Research
As the use of artificial intelligence (AI) increases, so do concerns regarding security, risk management, and trustworthiness in AI-powered applications. This report explores the various security practices organisations employ to protect their AI-enabled applications against AI-specific security and privacy threats. It also looks at the various challenges facing these companies when it comes to the explainability of AI-powered applications, as well as how they ensure compliance with relevant regulations. All Insights Trust, risk, and security management in AI Current practices and challenges Access the Full Preview About this Report As the use of artificial intelligence (AI) increases, so do concerns regarding security, risk management, and trustworthiness in AI-powered applications. This report explores the various security practices organisations employ to protect their AI-enabled applications against AI-specific security and privacy threats. It also looks at the various challenges facing these companies when it comes to the explainability of AI-powered applications, as well as how they ensure compliance with relevant regulations. Key Questions Answered What are the most common AI-specific risk mitigation practices that organisations employ? How does the implementation of AI-specific risk mitigation practices change based on organisation size and region? What are the main challenges that organisations face in maintaining transparency in the use of AI while ensuring security and privacy? How do these challenges differ based on organisation size and the types of models they use to add AI functionality to their applications? What are the main compliance measures that organisations have when it comes to AI regulations? How do the main compliance measures differ based on organisations in different regions? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected in the 27th edition of SlashData's Developer Nation survey, which was fielded between June and July 2024. In this survey, more than 1,500 professional developers who build AI-enabled applications answered questions about trust, risk, and security management in AI-enabled applications. 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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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
- Who's integrating sustainable software engineering principles?| ML/AI & Data Science DEI Tech Market Research
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. 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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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
- Designing for success | Free Industry Reports & 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. Tech Market Research
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 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 Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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.











